Process

The Third Coming of Product Design and Benchmark Metrics

The history of product design begins in the 15th century, as the Middle Ages were transitioning to the Renaissance. Italian architects and shipwrights introduced the use of drawings to build ships. Craftsmen throughout Europe began creating “pattern books” enabling artisans in other geographies to replicate desirable products and designs. This basic model stayed in place until the late 19th century, the beginning of the Industrial Revolution.

As mass production began to take hold, product design optimized manufacturability and producibility. Practicality ruled, but it also resulted in bland utilitarian visuals. Competitive forces then took hold as multiple companies that could now produce equivalent products at the same price and quality needed a new differentiating factor.

The First Coming: Individual experts began emerging in the late 1800s. Christopher Dresser (1834-1904) is generally credited with being the first “designer.” He was widely known and many companies sought his talents. The Rhode Island School of Design was founded in 1877 to address the growing demand for best designs. In 1919, Joseph Claude Sinel (1889-1975) proclaimed himself an “industrial designer” and the profession began. But, it was not until The Carnegie Institute of Technology introduced the first “industrial design degree” in 1934 that the profession began to scale.

The Second Coming: The formation of companies whose mission focused on design began in the 1920s, e.g., Alessi (1921) and Teague (1926). The formation of Design Concepts (1967) and Frogg Design (1969) triggered an industry that would form well into the 1990s, e.g., RKS (1980), Continuum (1983), Seymourpowell (1984), KartenDesign (1984), and IDEO (1991). The formation of professional and trade organizations paralleled the growth of degrees in academia and many people now having the profession, e.g., Industrial Designers Society of America (1965) and Design Management Institute (1975). Manufacturers now contracted and partnered with design companies to bring about best designs.

The Third Coming: Critical mass was achieved in the late 1980s. Many people were now expert in industrial and product design. What next then? Specialization of course! This is where we find ourselves today. We now have specialists for materials, for designs in certain industries or in different technologies, for artistic vs. mechanistic, for physical vs. software products, for traditionally produced vs. 3D Printed products, and more. User Interface is a great example. We now distinguish between User Interface and User Experience and Customer Experience. The Venn diagrams overlap, but there is a discipline in each area.

Benchmark Metrics: Remember the days when a thumbs-up or thumbs-down rated the product, well it is way more complicated today. And many global products need their own nuances, as cultures and geographies have their own norms, everything from form to colors to interfaces. Three decades now into The Third Coming, some metrics have stood the rigors of time and are useful assessments of product design and its value in the marketplace. In the past half-dozen years, a number of new benchmark indices have arisen from the likes of DMI, McKinsey, and others that indicate the value of design to corporations and the financial premium that good design engenders on Wall Street.

The Value of Product Design: This spring, GGI produced three one-hour programs that focus on The Third Coming, design techniques that generate disproportionate value, management techniques to reap the most value from design, and the metrics and benchmark indices that have risen to the top. These programs are not some flavor-of-the-day, they result from diligent research and industry observations on best design companies and industries. The material focuses on companies that design physical and internet products with user interfaces. GGI positioned the programs to be relevant now and several years into the future. Twenty topics are covered. There are 4-5 minute overview videos that take you through the table of contents for the Series and for each program.

The Product Design Value 7-6-7 Series

7 Ways To Create Value From Product Design

6 Ways To Reap Value From Product Design

7 Measures To Value Product Design

Measuring Product Development Productivity and R&D Performance: Consider joining us in London on November 5-6 for our two-day Masterclass sponsored by MOAS and Planisware. We’ll be taking a comprehensive look at measuring product development and its results, including a new mini-module that discusses our findings in 7 Measures To Value Product Design spanning both program and corporate management. There is a 4-minute overview video on the Masterclass landing page.

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Measuring Intellectual Property: Top 5 IP Metrics In Product Development

Due the technology boom in the late 1990s, which was coincidental with the rapid expansion of globalism and open innovation, and was then amplified by the less-than-stellar behaviors of certain countries, IP began to increase as a corporate priority.

As is the case when companies need to get their arms around new issues or opportunities, IP was first formed as “its own thing.”  There was an “IP Department.” Executives know that they must subsequently facilitate the integration a new requirement or capability into the right places in their organizations.  Leading companies began to do it around 2005.  For example, IP professionals were collocated in R&D and had dual reporting relationships – among many other techniques.

There was another issue though.  That issue remains today.  Valuing IP is a real bear.  Little by little industry is building experience as each transaction occurs.  However, it is still the wild west.  The value is what you are willing to pay for it.  Finance folks rule the roost.  Accounting folks are a long way from being able to assign standard values.  But, as experience builds, standard-like values will emerge as industry gains more and more examples for reference.  For certain types of commodity IP, standard ranges have already formed.

Well, as IP integration and uptake occurs, metrics follow.  Patents and Trademarks have long been metrics used by R&D and Product Development.  They are three of the top five still, and will likely remain.  But, two of the top five penetrating IP metrics have now been superseded by “licensing.”  “Number of Out-Licenses” and “Number of In-Licenses” have cracked the top five IP metrics now used across industries by the innovation functions.

Licensing is another form of codified IP, like patents.  Note that industry is still counting “its,” as it still does with patents (vs. “monetized revenues and/or profits”), but this is a clear sign of the progress of integration and awareness building.

 

Top 5 IP Metrics Used By Product Development CXOs

Measuring-Intellectual-Property-Top-5-IP-Metrics

 

Measuring Intellectual Property: Top 5 IP Metrics [Machine Design – October 2017] looks at the gradual inroads that IP metrics are making in the overall measurement of product development performance; and identifies the Top 5 IP Metrics used by R&D and Product Development.

 

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The Importance of Engineering Work Ethic

How much “overhead” does your company require of its professionals chartered with inventing the future?  Does your company manage to keep overhead below 50%?  Historical figures indicate “other responsibilities” took almost 65% of the work day.

 

Add Personal Freedoms To Structural Overhead

What about personal activities that get juggled during the work day at a much greater rate than in the 20th Century, now that everyone has cell phones and personal devices in the 21st Century?  Are professionals working longer hours to compensate for the personal time they take during the work day (Figure 1)?

Figure 1

Focused Work vs. Unfocused Work

Does multitasking further infringe on productivity, just as repeated set ups and tear downs used to infringe on manufacturing productivity?  The act of switching tasks requires mental time to regain one’s previous train of thought.  How many times does switching occur each day?  Certainly there is more switching during a work day today than in any time in human history.  How many times can one switch tasks each day without incurring overall mental fatigue that affects all work, and one’s personal life?

Is anyone paying attention?  Or, is this topic now considered an infringement on people’s freedoms – even though their employer is paying them for a full work day?  Is it heresy to even bring up the subject in this day and age?  Many would say yes!  It is heresy!

 

Little Picture vs. Big Picture

The preceding paragraphs address the trials and tribulations of individuals in the workplace during a typical work day.  But, there is more to it.  Company cultures have impacts.  Country cultures have impacts?  And, these impacts accumulate over time.

In the next ten years there will be a rearrangement of the top industrialized countries as measured by Gross Domestic Product.  Do the countries that are forecast to become the dominant economic players of the future permit such daily workplace freedoms?  Likely not.  Are any of the industrialized nations that lead the world today currently forecast to rise in global rankings?  None that I am aware of.

What then is the impact of employer overhead?  What is the impact of personal daily freedoms in mature industrialized economies, that are now considered to be almost a human’s right, on the ranking of countries and their prosperity a decade from now?  Will dropping productivity trends reverse their course?  No they won’t, not unless something changes.

 

Living In Reality

Once rights or benefits have been granted or assumed, it is hard to reverse course.  Certainly no one wants to go backwards.  But, it seems that as we have moved forward on an individual level in the little picture that it is having a non-positive impact on the big picture –  which will play out in the not too distant future.

The Importance of an Engineering Work Ethic [Machine Design – August 2017] makes the case that both employers and employees may benefit if a bit more attention is paid to structural overhead and personal multitasking during the work day.

 

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MOON-ON-A-STICK

INNOVATION MASTERCLASS

Measuring Product Development Productivity & Performance

October 3-4, 2017

The Moller Centre

University of Cambridge

UK

BROCHURE

 

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Metrics for IoT-Enabled Products

Metrics lag the introduction of new processes and new technologies by several years.  There are many reasons.  New business processes take years to evolve and become the new normal. Then, new measures get adopted. The infrastructure behind metrics is complex. People have to change what they track and record, then IT has to put it into a system. Management is uncomfortable with new metrics that do not have several years of past data. Few choose to recreate that data; rather they wait several years for it to accumulate and then they place the new metric into service. As well, R&D and product development are among the least understood major business functions. Business leaders hesitate to change measures in areas where they did not have direct experience on their way to the top of the corporate ladder.  Metrics for IoT-enabled products, processes, and technologies will be no different.

 

Risk Being Wrong

However, the IoT has been around for a few years now.  Some companies are in their third generation of IoT-enabled products and have some initial metrics in place.  Other companies are just warming up.  Given the almost unlimited scope of what the internet makes available, and thereby enables for all companies, picking one’s spots will be critical.

Discussions about appropriate metrics should probably begin sooner then they have historically begun.  Focusing on what to measure will spur the refinement of strategy and thinking on competitive positioning.

 

Get Organized

While there will be many new metrics, GGI estimates roughly fifty will be tried and will subsequently sort-out to a handful that will become widely adopted across industry, it will be best not to wait to see what others measure.  The playing field is nearly unlimited.  The generally adopted metrics may not yield the specific strategic advantages that most companies will seek.  Don’t sit back and wait to copy what others have done.

Over time, metrics will generally sort-out to four major categories:  Corporate Metrics, Project/Product Metrics, Functional/Technical Metrics, and Improvement Metrics.  A corporate brainstorming session might begin with these four areas for thought, and then seek input from participants using these general buckets to organize ideas.

 

Turn Over Rocks

At the next level of thinking, metrics for the IIoT and IoT will be different than many other corporate initiatives that have occurred over the years.  For example, take Open Innovation.  Whether a product originated organically or openly, the same measures capture customer experience.  This will not be the same for IIoT- and IoT-Enabled products. Data generated internally within a company’s IIoT may have some utility for customers.  Data acquired externally through the IoT, and/or a customer’s use of a product, may have some utility for the company that originally created the product – to enhance it, perhaps in real time.

These data may also be selectively packaged to create new “soft products,” that may or may not have anything to do with the value offering of the original product, that could produce incremental revenues and profits.  Few can see this far ahead.  It will take time for big data to accumulate to know for sure the assets one has, or has access to, but forge ahead with the thinking.

Thinking through these four areas will result in generating ideas that may then be subsequently refined to become Corporate Metrics, Project/Product Metrics, Functional/Technical Metrics, and Improvement Metrics.

 

Metrics for IoT-Enabled Products [Machine Design – July 2017] builds on these frameworks and suggests several specific metrics that may some day become generally adopted by industry – such as “Sensors Per Product.”

 

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MOON-ON-A-STICK

INNOVATION MASTERCLASS

Measuring Product Development Productivity & Performance

October 3-4, 2017

The Moller Centre

University of Cambridge

UK

BROCHURE

 

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GGI Tweets content from our primary and secondary research,

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WEBINAR: Measuring Product Development Productivity & Performance

On October 3-4, 2017, in conjunction with Moon-On-A-Stick [MOAS], GGI will be presenting a fast-paced two-day version of our R&D-Product Development Metrics Summit at the renowned Moller Center at Churchill College on the University of Cambridge campus in England.

Measuring-Product-Development-Productivity-Performance

We’ve never attempted the subject matter in two days before.  Most feedback over the 21 Metrics Summits GGi has held in the USA is that three days was tight.  Participants are sure to to have their gray matter running overtime!

MOAS is the reincarnation of a firm GGI collaborated with a dozen years ago.  Under new ownership, our paths have crossed again on the subjects of innovation and measurement.  Currently, Dr. Robert Cooper collaborates with them on agile and Stage-Gate®.  Dr. Jay Paap collaborates with them on technology strategy and roadmapping.  GGI will collaborate with them on performance measurement and metrics.

The Webinar

MOAS asked if GGI would give a webinar that would stand alone as an educational session, while also giving an overview of what folks might expect on October 3-4.  The webinar occurred Tuesday April 25 and lasted 42 minutes.

Innovation-Metrics-Webinar

If you would like to view a recording of the webinar, we ask that you provide your name and email address to see the streamed video.  Warning.  You are sure to get a follow-up email or two to see if you might want to participate in October. 🙂

View The Webinar Streamed Through Your Browser

Please take the plunge.  No one left early from this webinar. True story!

The Masterclass

If you would like additional information regarding our whirlwind two days coming up in October, there is a simple Registration Site.  There is also a Brochure.  Thank you for your interest!

 

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GGI Tweets content from our primary and secondary research,

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Steering Innovation Productivity & Performance in Organizations & Programs

21st Metrics Summit Blog Icon

The 21st R&D-Product Development Metrics Summit is coming up, February 28 to March 2, 2017, in Norwood, MA. Our conference facility is equidistant between the Providence and Boston airports.  A comprehensive renovation was just completed last fall.   We are easy to get to, the place is beautiful, and the food is great!

New Micro-Seminar Added

Most important is the content.  We’re adding a new section on IIoT and IoT metrics in the Workshop; and we’re projecting that one or more of the metrics we’re rolling out will be mainstream in 5-7 years.  We’ve done this before, several times.  The Internet of Things comes of age within two or three product cycles.  Does your company systematically “design-for-the-IoT?”  Can you measure it as an organization?

What’s New

In addition to the IIoT and IoT, recent curricula additions of micro-seminars on metrics for advanced development and intellectual property inspired some alumni from GGI’s initial Summits to return for an update. They were not disappointed.  Gen 6, 7, and 8 of advances in the science of managing R&D and product development have significantly changed the landscapes of process and metrics.

Design Thinking for IoT in the Product Development Process

The Top 100 Corporate Metrics underwent a historic change during the prolonged recession. The Top 25 metrics are now in a different order.  Real innovation was way down, but measurement science progressed.  The specificity of measuring innovation rose.  Human Resources protocols opened-up in several ways, enabling performance metrics that were near taboo a decade and more ago.  Much more.

If you have not yet participated in GGI’s Metrics Summit, please give it some thought.  If you’re an alumni before 2012, we hope it is food for thought for you.  Pure innovation will be on the rise in the years ahead. We can see it restarting already!  Effectiveness, efficiency, and productivity initiatives will continue. These opposing goals are no easy challenge.  Are you using metrics to tease the best innovation, output, and productivity from your R&D organizations?

Participant Companies

We’re honored that these great companies included GGI as part of their thinking for measuring R&D, product development, engineering, and scientific performance.

Two years ago at the 53rd R&D 100 Awards, some 15 of the winning companies had participated in GGI’s Summits – including two of the actual winners who walked to the stage.  We hope this metric correlates for you.

More Updated Content

Just this past year alone, updates include a number of new CXO-level metrics that hit critical mass in 2015 and 2016. And, we have a fresh look at the Top 100 Metrics used in industry. The great recession created significant change in the metrics corporations now use to drive productivity and performance. This new information is statistically accurate.

Plus, with all that is going on the world, the science of measuring Risk is getting attention. Most companies, ERM system or not, have little actual knowledge of the business, portfolio, and product risks they face. We have taken the view of a CFO for the advances in risk science that we will be presenting.

Please Join Us In Early Spring 2017

Senior executives wishing to put themselves and their colleagues in a better position to direct and drive product creation and commercialization should strongly consider attending. Many participants have said, “this Summit covers everything an officer and senior manager needs to know on the subject of Metrics.”

Please join us.  Most participants are surprised at the practical approaches and thinking they take away.

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TWITTER

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Metrics for IIoT and IoT In The Product Development Process

This is the third and final article of three consecutive monthly articles in Machine Design [November 2016, December 2016, January 2017] discussing the strategies and tactics that companies should take to position themselves to compete effectively as the Internet of Things evolves to become the end game for products and services in the years ahead.

 

Metrics for IIoT and IoT In The Product Development Process

 

This article makes the point, like all major industry process and/or technology initiatives, that a whole new group of metrics will be developed to facilitate and monitor the “capabilities” and “readiness” of products and processes to perform in the age of the Industrial IoT [IIoT] and IoT.  Most recently, we saw this happen with intellectual property as the channels to monetize it came of age.

Industry leaders already have IIoT and IoT strategies and are now augmenting their products and processes, and creating appropriate metrics.  Most companies are still working on their strategy.

Metrics for IoT in the Product Development Process [Machine Design – January 2017] addresses the various types of new metrics that will arise and evolve in the years ahead, offers some specific examples of new IIoT/IoT metrics, and identifies several companies we consider to be the early industry leaders.

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ANNOUNCEMENT

GGI’s next Metrics Summit is February 28 to March 2, 2017

A quick note to let you know that our

21st R&D-Product Development Metrics Summit

is coming up.

It will be held in Norwood, Massachusetts.

Our conference facility is equidistant between

the Providence and Boston airports,

and a comprehensive renovation was completed last fall.

The place is beautiful, the food is great, and WI-FI is throughout.

 Metrics Summit 21 Twitter Icon

Our content is stimulating, our discussions are lively,

and the teamwork during the Workshop

makes for lasting relationships with colleagues

who deal with many of the same professional issues and challenges.

Please join us.

••••••••••••••••••••••••••••••••••••••••••••••••••••••••

 

TWITTER

GGI became significantly more active on Twitter in 2016.

No chit chat.

GGI Tweets content from our primary and secondary research,

140-character summaries of good articles in trade publications,

and announcements and recaps on GGI events and presentations.

A quick look.

@GoldenseGroup

Please follow GGI on Twitter.

 

 

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Design Thinking for IIot and IoT in the Product Development Process

Design Thinking for IoT in the Product Development Process

This is the second article of three consecutive monthly articles in Machine Design [November 2016, December 2016, January 2017] discussing the strategies and tactics that companies should take to position themselves to compete effectively as the Internet of Things evolves to become the end game for products and services in the years ahead.

This article makes the point that capabilities for the Industrial Internet [IIoT] and the Internet of Things [IoT] should begin at the earliest stages of product architecture and the commissioning of the product into the development pipeline.  Certainly, many existing products will need to be retrofitted for IIoT and IoT capabilities.  But, the time to start initiatives for new product “IIoT/IoT-Readiness” is now.

Design Thinking for IoT in the Product Development Process [Machine Design – December 2016] addresses the “8th Generation” of product development processes that will systematically enable “IoT-Readiness” and “IoT-Capabilities” in new and future products and product lines.

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ANNOUNCEMENT

GGI’s next Metrics Summit is February 28 to March 2, 2017

A quick note to let you know that our

21st R&D-Product Development Metrics Summit

is coming up.

It will be held in Norwood, Massachusetts.

Our conference facility is equidistant between

the Providence and Boston airports,

and a comprehensive renovation was completed last fall.

The place is beautiful, the food is great, and WI-FI is throughout.

 Metrics Summit 21 Twitter Icon

Our content is stimulating, our discussions are lively,

and the teamwork during the Workshop

makes for lasting relationships with colleagues

who deal with many of the same professional issues and challenges.

Please join us.

••••••••••••••••••••••••••••••••••••••••••••••••••••••••

 

TWITTER

GGI became significantly more active on Twitter in 2016.

No chit chat.

GGI Tweets content from our primary and secondary research,

140-character summaries of good articles in trade publications,

and announcements and recaps on GGI events and presentations.

A quick look.

@GoldenseGroup

Please follow GGI on Twitter.

 

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Sensors Are Essential To Be IIoT and IoT Competitive

Sensors Are Essential To Be IIoT and IoT Competitive

This is the first article of three consecutive monthly articles in Machine Design [November 2016, December 2016, January 2017] discussing the strategies and tactics that companies should take to position themselves to compete effectively as the Internet of Things evolves to become the end game for products and services in the years ahead.

This article makes the point that the conclusions of higher level analytics and artificial intelligence, which are based on the available big data, will be insufficient and/or inaccurate if the sensors that are built into the product and its process of manufacture do not capture “all” the available data or cannot react to the data that is available.  Robust sensor deployment and engagement/reaction will likely form the foundation for the wealth that will be generated from the Internet of Things.

Sensors Are Essential To Be IIoT and IoT Competitive [Machine Design – November 2016] addresses the subject of “systematically sensorizing products” to position companies for the not-too-distant future where pricing and value become increasingly influenced by a product’s information set and not just its physical product or software performance.

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ANNOUNCEMENT

GGI’s next Metrics Summit is February 28 to March 2, 2017

A quick note to let you know that our

21st R&D-Product Development Metrics Summit

is coming up.

It will be held in Norwood, Massachusetts.

Our conference facility is equidistant between

the Providence and Boston airports,

and a comprehensive renovation was completed last fall.

The place is beautiful, the food is great, and WI-FI is throughout.

 Metrics Summit 21 Twitter Icon

Our content is stimulating, our discussions are lively,

and the teamwork during the Workshop

makes for lasting relationships with colleagues

who deal with many of the same professional issues and challenges.

Please join us.

••••••••••••••••••••••••••••••••••••••••••••••••••••••••

 

TWITTER

GGI became significantly more active on Twitter in 2016.

No chit chat.

GGI Tweets content from our primary and secondary research,

140-character summaries of good articles in trade publications,

and announcements and recaps on GGI events and presentations.

A quick look.

@GoldenseGroup

Please consider Following GGI on Twitter.

 

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Measuring Product Development Maturity & Predictability

Measuring Product Development Maturity and Predictability

This is the third and final article of a three-part monthly series in Machine Design on measuring product development at the CXO level.  The first article addresses productivity and efficiency.  The second article addresses effectiveness and output.  This final article addresses maturity and predictability.

The August article is entitled “Measuring Product Development Productivity.”  [Machine Design – August 2016]  Productivity is an extremely important topic, especially in challenging economic times.  It is absolutely appropriate for today’s corporate leaders and managers to emphasize “Productivity.”  However, productivity measurement is becoming too pervasive across all business functions.  And, productivity measurement is being applied at levels that are too low in many organizations.  Productivity may not be the best #1 metric for business areas that are not yet mature in their execution.

The September article is entitledMeasuring Product Development Effectiveness.”  [Machine Design – September 2016]  This article delves further into the appropriateness of productivity as the primary measure for business areas that have not yet matured, such as R&D and product development.   It makes the case that “Effectiveness” may be a preferable #1 metric for immature functions and disciplines.  Product Management, R&D, and Product Development (among others) all have several decades remaining before maturity is reached.

The October article is entitledMeasuring Product Development Maturity.”  [Machine Design – October 2016]  It would not be right to use “Maturity” as the factor in the first two articles to distinguish between the use of “productivity” versus “effectiveness” as the primary KPI, without also providing a definition of “maturity” for these so-called immature functions.  The ability to accurately predict input needs and output results is the business-level definition of maturity.  The exact components of input and output maturity will differ by business area.   The Carnegie-Mellon Software Engineering Institute “Capability Maturity Model” is also discussed.

 

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Please Don’t Forget

GGI’s 20th Metrics Summit is October 18-20

A quick note to let you know that our 20th R&D-Product Development Metrics Summit is coming up, October 18-20 in Norwood, MA.

Our conference facility is equidistant between the Providence and Boston airports, and a comprehensive renovation has just been completed.

The place is beautiful and the food is great.

20th Metrics Summit Icon LinkedIn

Content is stimulating, and our Summit discussions and Workshop are great fun too.

Please join us.


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Recent Twitter Postings on Innovation & Metrics

GGI has become significantly more active on Twitter in 2016.

No chit chat.

GGI Tweets content from our primary and secondary research and publications; and about GGI events and presentations.

There are a number of substantive Tweets that went out October 7-9 regarding our recent work and near term plans.

A quick look.

@GoldenseGroup

 Please consider Following GGI on Twitter.

20th R&D-Product Development Metrics Summit: Oct 18-20, 2016

A quick note to let you know that our 20th R&D-Product Development Metrics Summit is coming up, October 18-20 in Norwood, MA.  Our conference facility is equidistant between the Providence and Boston airports, and a comprehensive renovation has just been completed.  The place is beautiful and the food is great.

20th R&D-Product Development Metrics Summit


New Participants & Alumni Too

Since 2005, when we held our first Metrics Summit, the structure of the Summit has remained the same.  But, now a decade later, near 100% of the content is updated; as are the course books.  Last year, folks that had attended our initial Summits (back when) started returning for an update.  They were not disappointed.  If you participated before 2012, almost 100% will be new material to you.


Latest Updated Content

Just this past year alone, updates include a number of new CXO-level metrics that hit critical mass in 2015.  And, we have a fresh look at the Top 100 Metrics used in industry.  The great recession created significant change in the metrics corporations now use to drive productivity and performance.  This new information is statistically accurate.

Plus, with all that is going on the world, the science of measuring Risk is getting attention.  Most companies, ERM system or not, have little actual knowledge of the business, portfolio, and product risks they face.  We have taken the view of a CFO for the advances in risk science that we will be presenting.


New-To-The-World Internet-of-Things [IoT] Metrics

The Internet of Things is evolving rapidly. The IoT affects the product lines and process environment of just about every company, yet no one is systematically measuring the IoT at this time.  In ten years there will be two types of companies, those adept in IoT and those that will get bought by those that are adept.  To that end, as GGI has done in each decade, we have been developing forward-looking new-to-the-world metrics for critical areas where metrics do not yet exist.

We will be rolling out IoT and IIoT Metrics for the first time at the 20th Metrics Summit.  The new module will be presented during the Workshop along with our more recent modules on Intellectual Property, Advanced Development, and Functional/Technical Competency metrics for product development.

In the years ahead, it will be necessary to measure IoT prowess at the top of the organization.  It will be necessary to measure IoT capabilities added by projects and those delivered in products.  It will be necessary to measure the IoT abilities of professionals as relates to their functional and technical responsibilities.  And, of course, it will be necessary to measure IoT improvement efforts.  We are not sure that everything we have created will become mainstream over the next decade, but we have a track record for the last thirty years of being among the first to anticipate the next great waves of metrics.

Much of our developmental work becomes mainstream.  The most recent example of this is what we did to tie both Advanced Development activities and Intellectual Property into Product Development, and then into Sales and Profits.  We are not allowed to tell you which companies, but they did attend our Summits and you know their names.


Please Join Us In October

Senior executives wishing to put themselves and their colleagues in a better position to direct and drive product creation and commercialization should strongly consider attending. Many participants have said, “this Summit covers everything an officer and senior manager needs to know on the subject of Metrics.”

Please join us. Content is stimulating, and our Summit discussions and Workshop are great fun too.

http://www.goldensegroupinc.com/graphics/Metrics-Summit-20-Icon.png

Measuring Product Development Effectiveness & Output

Measuring Product Development Effectiveness and Output

Most folks that follow my writings know that I’ve been authoring the inside back page article for Machine Design for several years now.  You have probably recognized that my goal is to make each article a stand-alone piece.  On a few occasions there have been a Part 1 and Part 2.  For the months of August, September, and October 2016 there are three articles with separate and unique titles, but whose content is interrelated.  All three start with “Measuring Product Development,” which is then followed by the topic for that month.  This is important because it is possible to legitimately nitpik each article for incompleteness of thought. (Being limited to 600 words every month presents several challenges.)  But, if one takes the three articles as a whole, a clearer picture emerges.  At this time, two of the three have been published.  The third article is due out soon.

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MACHINE DESIGN

AUGUST 2016 ISSUE

Measuring Product Development Productivity and Efficiency

The August article is entitled “Measuring Product Development Productivity.”  [Machine Design – August 2016]  Productivity is an extremely important topic, especially in challenging economic times.  It is absolutely appropriate for today’s corporate leaders and managers to emphasize productivity.  However, productivity measurement is becoming too pervasive across all business functions.  And, productivity measurement is being applied at levels that are too low in many organizations.

Too Pervasive

The August article makes the point that not all business and technical functions have achieved comparable levels of maturity.  Let’s discuss logistics, manufacturing, and product development to make the point.  Logistics became mature in the late 1970s.  Barring a force majeure, delivery times could be predicted with near perfect accuracy.  In 1983, FedEx was born.  For the last thirty-plus years, the delivery of goods and packages has been performed with near 100% accuracy.  Today, there are a number of competitors.  Their output (delivery) is equivalent and they are all competing on reducing the input (cost).  Manufacturing was next to become mature.  By the early 2000s, again barring a force majeure, goods were manufactured on time to near perfect quality levels and were made available to the logistics function to ship.  Today, nearly every organization is filled with professionals holding Six Sigma Certifications.  Poor quality, scrap, and rework, that used to be measured as a percentage of cost of goods sold, is now measured in parts per million.  There are no comparable analogies for Product Development.  Product Development is still on the path to maturity.  Productivity may not be the best “top priority” metric for Product Development.

Too Low

The discipline of “operations research” teaches, among other things, that if a system is optimized at too low a level in the system that the system as a whole will not be optimized.  The August article makes the point that each manager at each level of the product development organization hierarchy is now trying to optimize the productivity of their organization.  By definition, this means that the R&D-Product Development organization as a whole is being sub-optimized.

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MACHINE DESIGN

SEPTEMBER 2016 ISSUE

Measuring Product Development Effectiveness and Output

The September article is entitledMeasuring Product Development Effectiveness.”  [Machine Design – September 2016]  This article delves further into the appropriateness of productivity as the primary measure for functions that have not yet matured.   It makes the case that “Effectiveness” may be a preferable primary measure for immature functions and disciplines.  Product Management, R&D, and Product Development (among others) all have several decades remaining before maturity is reached.

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 MACHINE DESIGN

OCTOBER 2016 ISSUE

 Measuring Product Development Maturity and Predictability

The October article is entitledMeasuring Product Development Maturity.”  [Machine Design – October 2016]  It would not be right to use “maturity” as the factor to distinguish between “productivity” and “effectiveness” without also offering a definition of “maturity” for immature functions.  As it turns out, the definition of maturity will differ by function.  The October article will focus on Product Development maturity.  The Carnegie-Mellon Software Engineering Institute “Capability Maturity Model” is also discussed.

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PS

GGI’s 20th R&D-Product Development Metrics Summit is October 18-20, 2016 in Norwood, MA.

We are sure to positively affect your thinking and capability on the subject of measurement.

New England is beautiful in the fall.

Please consider joining us.

Measuring Product Development Productivity & Efficiency

GGI has been a pioneer in product development measurement since the early 1990s.  We’ve been formally researching industry and corporate measurement practices ever since.

For some time, even past when we introduced “proactive” metrics and refined “predictive” metrics for R&D and Product Development in 1997, we continued to defer to the business frameworks that industry was using. We would “fit” our measures into current structures and hierarchies of the companies that hired us.  It was fine. They were happy.  The outcome was better than what preceded it.

But personally, I kept wrestling in my mind that something wasn’t right.  It was like an indicator panel where each light could be recognized but the context was not right.  The frameworks didn’t paint the picture for R&D or Product Development.  It was difficult to determine the actions to take to create improvement.

Along the way, I had the pleasure of introducing Robert Kaplan at the conference where he introduced Balanced Scorecard to the world.  And, I watched it pervade industry.

My masters, hidden under the MBA acronym, was in accounting and operations.  Everything needed for a CPA.  I understand business measurement structure, financial and cost accounting. Balanced Scorecard was definitely an asset to bring additional improvement to corporate management and to many many functions.  However, it still was a force-fit for R&D.  I never met a VP R&D or Product Development that liked it.   They would do what they needed to do and put the necessary metrics into whatever scorecard the CEO told them to use.

A Better Measurement Approach For R&D & Product Development

I kept stewing on this mismatch, which I observed in a couple other corporate functions as well, and it hit me on a summer day in 2002.  While every function needed to align with GAAP no doubt, that the entire system was based on transactions as it was those transactions that collectively generated the business value.  In short, everything was about buy and sell products or services and the myriad of transactions that are needed to execute an order to generate the business value.

R&D and Product Development are different. Yes, there are a myriad of transactions to go from concept to customer; and many just to run the organizations that create products and/or IP.  But, the business value is generated by the completion of a project.  The project produces a product (or service) (and/or IP) and that is where GAAP starts.  Upon further reflection, the other functions that are a mismatch also generate their value from projects and are “pre-product” or “post-product” as well.  This is a whole other discussion that I’ll leave for another day.

On that summer day in 2002, on my porch, the Linked Metrics Portfolio® [LMP] was born.  It is a performance measurement framework uniquely designed for project-based organizations.  We’re on our way to 150 implementations of it at this time in R&D-Product Development.  It is designed to be compatible with any and all CEO/CXO metrics reporting frameworks, including Balanced and other scorecards.

The August Issue of Machine Design

The August 2016 issue of Machine Design, without mentioning the LMP framework itself, addresses the subject of measuring R&D and Product Development “Productivity” in the context of the four groups of “primary metrics” that comprise the LMP.  Each of the four groups is a bold sub-heading in the article.

Measuring Product Development Productivity and Efficiency

This blog post also includes the word “Efficiency.” Measuring R&D and Product Development Efficiency means the same thing as measuring Productivity.  Both words equate to Output divided by Input.

Note To Rocket Scientists:  Yes, I am aware that some invoke the capital/physical assets of the company into productivity measures.  And, when capital is weighted as part of the input to the output, that does change productivity to mean something different than pure efficiency.

Measuring Product Development Productivity [Machine Design – August 2016] addresses the subject of productivity measurement in R&D and Product Development by looking through the four lenses that drive performance in project-based organizations:  People/Departments, Projects, Improvement Efforts, and Overall CXO-Level Performance.

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PS: We are proud to add, as a closing note, that our 20th R&D-Product Development Metrics Summit is on the horizon on October 18-20, 2016 in Norwood, MA.  New England is beautiful in the fall. We are sure to positively affect your thinking on measurement.

As you will see in the August MD article above, our LMP stays in the background for the Summit as well. We focus on the metrics and sets of measures that best align with a company’s chosen R&D strategy; and get at subjects that are hard to measure. Please consider joining us.

Product Definition/VOC captivated the 1990s, and will again in the 2020s!

The product-definition era ended 15 years ago. As software and the internet began to take over the world, both easier technologies to iterate to successful outcomes, up-front planning started to take a back seat.

As a whole, society began to change as well. Critical thinking was gradually replaced by rapid doing. As 3D printing grew, making iterations faster for leading companies that could afford the quite expensive equipment, competitive advantages could be maintained.

Today, 3D printing is down the cost curve and is available to all companies and to individual Makers working out of their homes. The playing field is nearly level again. Everyone, large and small, can now quickly and economically make physical models. Soon, 3D printing will turn out saleable market-ready products.

Where does that leave us? It seems we are about to go back to the future, defining the right product.  As we head to a future that again emphasizes definition, both science and technology advances will be on our side.

Back To The Future - Product Definition

Back To A Better Future: Product Definition [Machine Design – June 2016] describes how scientific data gathering and big-data analysis tools, that will become generally available in the next few years, will lead to up-front planning and analysis again becoming a primary competitive differentiator as it was in the 1990s.

Perspectives: Top 12 Trends in the Science of Managing R&D and Product Development

Top 12 Trends in the Science of Managing R&D and Product Development-Perspectives

There are lots of trends and new ideas when it comes to the science of managing R&D. Some got started when a technological advance changed the best way to manage or make decisions. Others arose from new thinking in management science in the light of macro changes taking place in business and political structures, practices, and economics.

Twelve trends were addressed in this two part series that ran in January and February 2016 in Machine Design magazine.

At the Editor’s request, we have added a capstone article in the March 2016 issue entitled “Perspectives.” In this third and final piece, additional thoughts are offered on each trend and some of the interplay between trends is discussed.

As you consider each trend, keep “Big Data” in mind. It is a “macro trend” that will affect every industry and segment of the globe. It underlies more than half of the trends discussed, and, to a lesser extent, it will affect all 12. As an exercise, give some thought as to whether each trend is technology-driven or thinking-driven. In some cases, it’s both.

The 12 trends relating to the science of managing R&D are in the following twelve business and/or functional areas.

Trend 1. Rapid Prototyping (aka 3D printing)

Trend 2. Strategy

Trend 3. Product Definition

Trend 4. Organic Innovation and Growth

Trend 5. Search and Synthesis

Trend 6. Core and Functional Competencies

Trend 7. Engineering and Development Automation

Trend 8. Micro-Nano Effects

Trend 9. Physical vs. Virtual Work

Trend 10. Measurement and Correlation

Trend 11. Open Innovation

Trend 12. Intellectual Property

Here are the previously published Part I and Part II articles covering the 12 trends.

Top 12 Trends in the Science of Managing R&D and Product Development: Part 1 [Machine Design – January 2016] discusses the first six of the trends.

Top 12 Trends in the Science of Managing R&D and Product Development: Part 2 [Machine Design – February 2016] discusses the remaining six trends.

This is the capstonePerspectives” article that is the subject of this blog post.

Top 12 Trends in the Science of Managing R&D and Product Development: Perspectives [Machine Design – March 2016] discusses the trends as a whole and comments on selected interrelationships between trends.

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If the opportunity to interactively discuss these trends with colleagues sounds appealing, please consider joining us at GGI’s 14th R&D-Product Development Innovation Summit being held March 29-31, 2016 in Norwood, Massachusetts.  Or, join us at the 2nd Annual TechBrainers R&D Club Summit being held April 14, 2016 in Warsaw, Poland.

Press Release: 14th R&D-Product Development Innovation Summit: Innovation For VUCA Times!

NEEDHAM, Mass. — (PRJ) — February 11, 2016 — The corporate quest to master innovation began in the 1990s. Prahalad, Hamel, Moore, Utterback, and Christensen’s writings seeded the field. In 2004, Business Week published its first ranking of the “The World’s Most Innovative Companies” and the innovation race was on.

For two decades now, the innovation body of knowledge has been both growing and refining. Models and frameworks by esteemed companies, consultancies and research firms have come and gone; as have about half of the initial providers of enabling techniques and software. Of course, what worked has remained.

Most companies are quite lean these days and only a few markets are growing rapidly. Future growth and profit will largely result from having a better product portfolio than one’s competitors. There is little fat left to cut. The mastery of innovation is essential to gain competitive advantage in the years ahead. Today’s ability to monetize and trade intellectual property (IP) assets now makes both products and their IP transactable commodities, furthering the importance of innovation.

GGI held our first Innovation Summit in January 2006. Each year we take a fresh snap shot of the state-of-practice across strategies, tactics, techniques, tools, software, and metrics. Our program focuses on the needs of CXOs, managers, and thought leaders to direct and enable innovation in their companies. Some five hundred companies have participated. Many initial participants rejoined us five and seven years later for a fresh update. You will meet some of them if you decide to register.

innovation-summit-14-icon2.png

GGI’s 14th R&D-Product Development Innovation Summit will be held March 29-31, 2016 in Norwood, Massachusetts. Norwood is half way between Boston and Providence, providing participants with two airport choices to best their travel expenses. Group rates are available at our Four Points Sheraton Inn & Conference Center.

This information intensive event draws on our thirty years in business consulting to Fortune 1000 companies, findings from over fifty secondary research sources, and fifteen years of our own primary research on product development, innovation, IP, and metrics. Our six hundred-page color course book cites all references and enables participants to follow-up on their specific interests when they return to their offices.

Our Summit delivers the goods to update executives and professionals on the state-of-practice, and provides the empowering knowledge that is needed to increase corporate product portfolio and brand value from innovation and IP improvements in their companies. Many participants have said, “GGI’s Summit is the equivalent of an Executive MBA on Innovation in three days.”

Media Contact:
Company Name:   Goldense Group, Inc. [GGI]
Name:   Brad Goldense
Phone (optional):   781-444-5400
Email Address:   blg@ggisummits.com
Website:   http://www.goldensegroupinc.com

Top 12 Trends in the Science of Managing R&D and Product Development: Part 2

Top 12 Trends in the Science of Managing R&D and Product Development-Part 2

There are lots of trends and new ideas when it comes to the science of managing R&D. Some got started when a technological advance changed the best way to manage or make decisions. Others arose from new thinking in management science in the light of macro changes taking place in business and political structures, practices, and economics.

Twelve trends are addressed in this two part series in Machine Design magazine. As you read through the trends, keep “Big Data” in mind. It is a “macro trend” that will affect every industry and segment of the globe. It underlies more than half of the trends discussed, and, to a lesser extent, it will affect all 12. As an exercise, give some thought as to whether each trend is technology-driven or thinking-driven. In some cases, it’s both.

The 12 trends relating to the science of managing R&D are in the following twelve business and/or functional areas.

Trend 1.   Rapid Prototyping (aka 3D printing)
Trend 2.   Strategy
Trend 3.   Product Definition
Trend 4.   Organic Innovation and Growth
Trend 5.   Search and Synthesis
Trend 6.   Core and Functional Competencies
Trend 7.   Engineering and Development Automation
Trend 8.   Micro-Nano Effects
Trend 9.   Physical vs. Virtual Work
Trend 10. Measurement and Correlation
Trend 11.  Open Innovation
Trend 12.  Intellectual Property

Top 12 Trends in the Science of Managing R&D and Product Development: Part 1 [Machine Design – January 2016] discusses the first six of the trends.

Top 12 Trends in the Science of Managing R&D and Product Development: Part 2 [Machine Design – February 2016] discusses the remaining six trends.

The upcoming March 2016 issue of Machine Design will offer “Perspectives” across these twelve trends.

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If the opportunity to discuss these trends in person sounds appealing, please consider joining us at GGI’s 14th R&D-Product Development Innovation Summit on March 29-31, 2016 in Norwood, Massachusetts.  We will also be featuring new industry research on the emerging specific types of Disruptive Innovation.

Top 12 Trends in the Science of Managing R&D and Product Development: Part 1

Top 12 Trends in the Science of Managing R&D and Product Development-Part 1

There are lots of trends and new ideas when it comes to the science of managing R&D. Some got started when a technological advance changed the best way to manage or make decisions. Others arose from new thinking in management science in the light of macro changes taking place in business and political structures, practices, and economics.

Twelve trends are addressed in this two part series in Machine Design magazine. As you read through the trends, keep “Big Data” in mind. It is a “macro trend” that will affect every industry and segment of the globe. It underlies more than half of the trends discussed, and, to a lesser extent, it will affect all 12. As an exercise, give some thought as to whether each trend is technology-driven or thinking-driven. In some cases, it’s both.

The 12 trends relating to the science of managing R&D are in the following twelve business and/or functional areas.

Trend 1.   Rapid Prototyping (aka 3D printing)
Trend 2.   Strategy
Trend 3.   Product Definition
Trend 4.   Organic Innovation and Growth
Trend 5.   Search and Synthesis
Trend 6.   Core and Functional Competencies
Trend 7.   Engineering and Development Automation
Trend 8.   Micro-Nano Effects
Trend 9.   Physical vs. Virtual Work
Trend 10. Measurement and Correlation
Trend 11. Open Innovation
Trend 12. Intellectual Property

Top 12 Trends in the Science of Managing R&D and Product Development: Part 1 [Machine Design – January 2016] discusses the first six of the trends. The February 2016 issue of Machine Design will discuss the remaining six trends.

When Will PLM Become The Norm?

Although PLM emerged in 2001, those who work in the PLM field know that, even in 2016, it’s far from fully implemented. They may wonder how long widespread full acceptance and implementation of the PLM paradigm will take, and ask, “When will PLM become the norm?”

The author, John Stark, is a subject matter expert in all things related to Product Lifecycle Management [PLM]. For three decades, John has published the bi-monthly 2PDM and now 2PLM ezine from the PLM Institute located in Geneva, Switzerland. In a recent article, published on January 14, 2016 in LinkedIn Pulse, John explores the fifteen years (and counting) time frame relating to industry’s adoption of PLM.

Brad Goldense is quoted several times in this article relating to GGI’s position on the length of time it takes new bodies of knowledge to evolve and mature.

When will PLM become the Norm?, takes a look at what has happened in PLM since 2001 and hypothesizes how much longer it may take to achieve widespread industry adoption of PLM capabilities.

 When Will PLM Become The Norm

Roadmap Your Way to R&D-Product Development Innovation

Intestinal fortitude for innovation is on the decline in most industries. The lackluster economy has made many companies skittish to embrace risk in their product portfolios. How bad has it become? In the 1990s, almost 60% of R&D budgets were allocated to New-To-The-World, New-To-The-Market, and New Product Lines (Robert G. Cooper, Reference Paper #46: Creating Bold Innovation In Mature Markets). Today, that number is below 40%.

Nielsen recently did a study of innovative products (Taddy Hall and Rob Wengel, Nielsen Breakthrough Innovation Report:  June 2015). Nielsen examined 3,522 initiatives and identified 12 “Breakthrough Winners.” Ten of the winners were edibles of some type. Other winners included Duracel’s Quantum battery and Paris’ Advanced Haircare from L’Oreal. What happened to all the other categories of products you and I buy? For the time being, the innovation tent has been rolled-up in most industries.

Alas, 30 years of corporate focus on the bottom line has left many companies challenged when it comes to attacking top-line initiatives with confidence (The Journey To Mastering Innovation, Machine Design, November 2015). How will companies overcome the current conundrums of flat to small revenue growth and shrinking profits that have been pervasive for the past few years? Perhaps “roadmaps” might help instill the confidence necessary to once again take on additional risk.

In a recent article, I discussed the need for companies to manage four distinct but integrated portfolios. The best practice is to use four multi-year roadmaps, of the same names, to create those four portfolios.

Four Dynamic Roadmaps Yield Four Dynamic Portfolios

Roadmap Your Way to R&D-Product Development Innovation [Machine Design – December 2015] discusses how properly managed roadmaps can drive targeted and successive improvements in the four portfolios that most companies manage in this day and age.

The 5 Types of Manufacturing Processes

It may be surprising to learn that many engineers with great talent and a depth of experience have a hard time answering questions regarding the type(s) of manufacturing environments that exist in their company.   Hopefully, this article will help practitioners to better categorize what often appears to be shades of gray.

Most manufacturing environments fit into one of five general categories: Repetitive, Discrete, Job Shop, Process (batch), and Process (continuous).

In the diagram below, each letter represents a different product.   “White space” indicates set-up, tear-down, or a changeover activity of some type.   Product is not being produced when there is white space.  Some white spaces take longer than others.  The white space time depends on both the clean up time for the product just produced and on the preparation time for the next product to be produced.

The Five Types of Manufacturing Processes

Most companies use more than one of these environments to get a single product out the door.   This is certainly true if one includes today’s use of the supply base, versus the historical practices of vertically integrated companies.   One of the factors that drove the outsourcing movement was that vertically integrated companies often had all five environments in house, and the associated expense to maintain proficiency across this broad spectrum.

The 5 Types of Manufacturing Processes [Machine Design – September 2015] describes each of the five distinctive manufacturing environments, and the similarities and differences between them.

Product, Project, Technology, and IP Portfolios

In the 1990s, life was simple. Marketing, or Product Management, maintained the “product portfolio.” In the largest companies, there was perhaps also a technology portfolio. The “R” part of the R&D organization would work with marketing to plan future products based on the projected availability of technologies still in development.  Today, having both a technology and a product portfolio is considered the rock-bottom minimum regardless of company size. Just about all companies actively maintain these soft assets—only the degree of formality differs.

Over the past decade, these portfolios became more closely tied together with the advent and acceptance of roadmapping (which charts the path new technologies and products take as they evolve into commercial readiness). In between each and every portfolio snapshot in time, the roadmap provides guidance on the activities needed to reach the portfolio’s next incarnation.

It would be great if we could just call it a day with two portfolios and the roadmaps that tie them together. But that is no longer best practice. We now also need a project portfolio and an intellectual property (IP) portfolio to be a best-practices company.

product-project-technology-intellectual-property-portfolios.jpg

Project Portfolio: The need for project portfolios has been partially driven by the tremendous growth in project managers and project management organizations. These now-large organizations need to prioritize and sequence their inventories. There are other equally important reasons.

IP Portfolio: The need for IP portfolios has been partially driven by the increasing ease of monetizing intellectual property as a commodity , in replacement of or in addition to including the IP in products for commercial sale.  There are other equally important reasons.

Product, Project, Technology, and IP Portfolios [Machine Design – August 2015] discusses the two newest portfolios, and some of their key attributes, that are necessary these days to be a best-practices company.

Measuring Project & Product Success

There are two fundamental categories of post-launch reviews.  The first we shall call “Team Self-Assessment Project Reviews.”  These reviews are primarily for product developers to explore their lessons learned from working together on a project that has just completed.  The second we shall call “Management Business Reviews of New Products.”  These reviews are primarily for management to explore the financial and marketplace results of the new product in both a relative and absolute sense, and to contrast the results to those that were promised when the project was approved.

Ideally, there is minimal overlap in the content of the two review categories. However, and this is especially true where the team that created the product stays together to enhance and service the product during its life cycle, much of what should be covered in structured Management reviews is often done in Team reviews.

Consider that management makes the business decisions. They could invest scarce R&D funds in many places. They choose to invest in certain projects because of the business plan that was presented to them, or sometimes just plain old gut feel.  If management does not involve themselves in a comparative analysis of promised vs. actual results, they diminish their capability to “see” similar or analogous estimating shortfalls in future business plans and decisions.  The learning loop does not get closed for management.

Manufacturing and operations professionals, in just about every company these days, have achieved closed-loop decision-making. The opportunity is still on the table for most engineering and product development operations and organizations to do this better.

In R&D, outcomes for the project are not always the same as the outcome for the product.  One could execute a great project, but the marketplace does not get excited about the resultant product(s).   Alternatively, one could execute a highly inefficient and prolonged project, but the resultant product(s) turns out to be a home run.  The important thing is to know about both the project and the product results, to position the organization to become ever better in the future.

reviewing-project-product-success.jpg

As well, outcomes are not always clear.  Some times they are neither a success nor a failure, but are somewhere in between.

Reviewing Project & Product Success, published by Product Design & Development Magazine, discusses the importance of project, product, and portfolio reviews; and the importance of comparing results to the original estimates and promises that lead to the decisions to move forward.

19th R&D-Product Development Metrics Summit, August 25-27, 2015

There are new techniques and metrics just introduced by McKinsey and CFO Magazine, and an industry-generated metric from Broadcom entitled “R&D Efficiency,” during the spring of 2015. They all focus on measuring overall R&D productivity, output over input. One of them has a good chance of becoming mainstream in the next five years, just as Return On Innovation (early 2000s) and the Vitality Index (1988) did. As well, there has been the equivalent of a sea change in the metrics companies use since the market crashed in 2008. It became evident in 2013 and is ongoing. Did you reorient your metrics, by about 25%, towards business and financial output in the past five years?

This Summit covers everything an executive needs to know relating to measuring R&D, Advanced Development, Product Development, Innovation, Technical and Functional Competencies, R&D Productivity, and R&D-related Intellectual Property. We will connect the numerous metrics going three levels deep into the R&D-Product Development organizations to the handful of KPIs needed by the CEO for financial reporting and investors in a single one-page portfolio.

The selections of metrics are different for every company, and highly strategy dependent. You get what you measure. Don’t worry, you’ll get to include any of the metrics you measure today in your final workshop solution. GGI is consistently told by leaders, who enter believing that they have strong metrics, that they have a great many things they are going to discuss doing and undoing when they get back to their office.

GGI has been a recognized thought leader in measurement since the early 1990s. We have introduced more than a handful of metrics that companies use today. We have played a role in making a number of great metrics, created by others, become mainstream across industries. For eighteen years we have done primary research on corporate, project, technical, functional, innovation, productivity, and IP metrics being adopted by corporations. For twenty-five years we have kept our finger on the pulse of what is being done by others, and on emergent metrics that haven’t significantly penetrated industry (yet). This enables participants to determine a competitive advantage set of KPIs and their necessary supporting measures. Our Summit is as close as you will get to internalize the metrics body of knowledge in a single event.  Every Summit is current.

Senior executives wishing to put themselves and their colleagues in a better position to direct and drive product creation and commercialization should strongly consider attending. Many participants have said, “this Summit covers everything an officer or senior manager needs to know on the subject of Metrics.”

Product Development Metrics Summit 19

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Participant Companies.

Press Release.

Post-Launch Reviews Improve New Product Performance

Does your R&D organization have closed-loop decision making?  If not, increasing the robustness of your post-launch reviews may help.

Manufacturing and operations professionals, in just about every company, have achieved closed-loop decision-making over the past three decades.  When the yield of any work center is lower than expected, engineers track down the root causes and fix them.  At the business level across the entire factory, when there is not enough finished goods inventory on hand and orders are short shipped, management tracks down the root causes and fixes them.  The opportunity to do the same is still on the table for most managers and executives who direct engineering and product development professionals and organizations.

The yield of a work center is a much different animal in product development so let’s not address engineering work centers at this time.  However, at the business level across the entire product development organization(s), there are several opportunities to improve both the development team’s and management’s ability to learn from the project/product and better decision making the next time around.

A “project” is a temporary organization vehicle used to develop new products. Companies don’t sell projects; they sell products that result from projects. Team reviews should have a heavy project emphasis. Management reviews should have a heavy product emphasis. Of course there is overlap, but it is not that difficult to draw a fairly clean line as to what in a product should be part of a team project review and what in a project should be part of a management product review.

Post-Launch Reviews Improve New Product Performance [Machine Design – June 2015] discusses the similarities and differences between team and management post-launch reviews, and offers suggestions for how each type of review might be improved.

Maximizing Revenues from the New Product Pipeline

Does your company tightly control its manufacturing operations and work centers? If so, each work center is measured and the company knows exactly how much good and bad product the center produces. These figures are the center’s “yield.” Of course, companies aim for 100% positive yields from each center. And, products which have been manufactured for a long time often approach that ideal.

Now, let’s take this same basic concept of a center’s yield and apply it to product development. There are series of centers that take new product concepts and bring them to market. But for these, 100% yields are not expected, nor would we wish them to be. Product development is much more probabilistic. Not every product brought to market is expected to be a financial success. If it were, innovation would dry up as companies would take no risks.

Many studies over the past five decades have found that somewhere between 35% and 55% of products are not financial successes. That figure can be as high as 90% in high-tech and consumer products. Those high failure rates create an opportunity to improve yield without risking the loss of innovation.

 

New Product Pipeline Yield Example

New Product Pipeline Yield

 

There are opportunities in most companies to get more revenues and profits from the product pipeline without increasing investment or headcount. Those opportunities have one common element, better decision making.

Maximizing Revenues from the New Product Pipeline [Machine Design – May 2015] discusses decision making in corporate environments that have too many ideas to choose from, too few ideas to choose from, and the financial results of both good and bad pipeline management. Bettering management of the pipeline often results in double digit percentage increases in revenues and profits from new products.

Test Suite Rebalancing Reduces Time-To-Market

Has your company been around for a long time? Did your products start off as purely mechanical, then evolve to electro-mechanical, then to electronic, and are now software-driven hardware? Are the historical underpinnings of your testing and quality organizations rooted in manufacturing operations and validating physical products? If so, then rebalancing the test suite may shorten your time-to-market.

Rebalancing a test suite is not easy. It requires much thought and patience, and it is not inexpensive. But lengthy time-to-market is also not inexpensive if the revenue streams of all products could be brought forward a number of weeks or months. ROI justifications are unique to each company. So, rebalancing will be worth it for some firms and not others.

Test Suite Rebalancing Reduces Time-To-Market [Machine Design – April 2015] discusses the complexities and merits of a systematic examination of a company’s test suite, with the goal of discovering bugs earlier and reducing time-to-market across all new products.

Press Release: 19th R&D-Product Development Metrics Summit, August 25-27, 2015

NEEDHAM, Mass. — (BUSINESS WIRE) — March 23, 2015 — GGI will be holding our 19th Summit on Metrics for corporate, business, research, and product development executives during the last week of August at the Four Points by Sheraton – Norwood Inn & Conference Center. The location of all GGI Metrics Summits, this conference center is conveniently equidistant between Boston and Providence airports.

The 19th Summit consists of two seminars, and a workshop that is interspersed with micro seminars. In three days, we will cover the wide range of topics necessary to comprehensively measure corporate investments in research and development. The culminating workshop will result in a take home draft, using GGI’s Linked Metrics Portfolio™ method, of a portfolio of metrics that measure three levels into R&D and produce a handful of metrics for the CEO’s needs. Numerous corporations use our approach that meets the specialized needs of project-based environments while producing business-level metrics that feed into corporate scorecards and financial statements.

Tuesday focuses on the hardest to quantify corporate innovation measurement issues: Risk & Complexity, Hurdle Rates, Trade-Off Analysis, Capacity & Pipeline Management, and the few Metrics that capture the financial performance of R&D as a whole. It concludes with a review of the Top 101 metrics that corporations use to oversee their R&D investments.

Wednesday morning we generate “Proactive” forward-looking R&D metrics to guide the culture of the innovation environment. Discussion then switches to early metrics that are “Predictive” of the outcomes of R&D investments.

The Workshop begins in the afternoon and continues Thursday. Participants organize into teams based on the commonality of their corporate R&D strategy. A common strategy is more important than a common industry at the financial reporting level of corporations. Innovator, Platform, Balanced, and Follower strategy metrics differ. Teams determine their “must have” metrics. Then, a series rounding-out topics are interspersed into the workshop. These micro seminars cover metrics for Applied Research, Advanced Development, Intellectual Property, Technical & Functional & X-Functional Disciplines, Software, and Supplier Management.

The Summit wraps-up with team presentations of their draft Metrics Portfolios, and their explanations on how their metrics support their chosen R&D Strategy. A discussion on Implementing Metrics concludes the event.

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NOTE:  Inadvertently, the actual Business Wire press release title was issued with the dates August 27-29.  The correct dates are August 25-27, Tuesday to Thursday, as the title in this blog post correctly indicates.

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19th R&D-Product Development Metrics Summit

Early Bird Rates conclude at the end of business Pacific Time on Friday, June 26.

measuring-the-continuum-of-research-and-development.jpg

Does Engineering Work for Sales or Management?

Strategy is a wonderful word. It sounds great in meetings, as does its adjective form, strategic. Everyone’s mind snaps to attention the moment either word is used. Then everyone nods, saying we have got to have the right strategy. And if some plan is called strategic, then we must certainly do it.

Management and consultants throw the s-word around casually all the time. Too much of the time, these folks are actually talking about tactics; or even worse, operational levels. There are instances in which both tactics and operational items are strategic. But, usually they are not.

Certain companies and service firms do understand how to create strategies and then put them into effect. People who have worked for those companies see it immediately and their thought processes are changed for the rest of their careers.

Product road maps and product portfolio strategies, and their enforcement, are important. The only companies that systematically prosper without a good portfolio strategy either out-service their competition, sit at the top of the heap in operational excellence and cost management, or are lucky enough to be in a high-growth industry where management can do no wrong.

Does Engineering Work for Sales or Management? [Machine Design – March 2015] discusses the four primary product portfolio management strategies that companies utilize, and the degree to which management polices adherence to its’ stated strategy. Strategies used by Apple, Microsoft, and Harley-Davidson aftermarket suppliers illustrate the key points.

Do Your Innovative Products Need Market Development?

Are all new product ideas ready to go into your company product development process? Certainly not! For some products, the technical and feasibility risks are still too great to have any hope of estimating an accurate schedule. But other products, that are deemed feasible but may entail market risk, are immediately put into a product launch timeline and the chips left to fall where they may for commercialization.

Do Your New Products Sell Like Hockey Sticks? [Machine Design – January 2015], addressed numerous scenarios in which products do not get purchased for a number of months after their launch. This “no or low sales period” puts a drag on a company’s development culture and extends the time frame to meet a product’s financial goals.  One of the causes of hockey stick sales is not addressing the need for market development for certain products.

While some market-related scenarios are hard to avoid, like capital budgeted products that must wait for “funded years” to start, many product launches with no or low sales can be avoided. At the least, they can be mitigated.

Decision makers are much better at identifying products that need additional technology development than they are at identifying products that need additional market development.

Do Your Innovative Products Need Market Development? [Machine Design – February 2015] discusses approaches to mitigating slow market acceptance; and offers insight that this may be a more frequent concern in the next five years than the past five years.

Do Your New Products Sell Like Hockey Sticks?

Have you heard the term “hockey stick sales” before?  This means that there are relatively few sales right after launch.  Then, some weeks or months later, sales start to increase.  The blade of the hockey stick represents the flat sales period, the handle represents the rise [Figure 1].

Figure 1

New Product Launch With “Hockey Stick Sales Curve”

new-product-sales-look-like-a-hockey-stick.jpg

Hockey-stick sales reduce developer satisfaction as market acceptance is delayed. They also slow down company sales and profits while giving customers pause for thought as they wait for others to take the plunge. The best business hockey stick has no blade, only a handle.

Do Your New Products Sell Like Hockey Sticks? [Machine Design – January 2015] discusses the many scenarios under which new product sales curves may look like a hockey stick. For the scenarios that can be avoided, or at least mitigated, suggestions on how to do it are offered.

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Note: Starting in 2015, Machine Design will no longer have a specific day of the month that an issue is published. Going forward, there will be the January issue, February issue, and so on.

Is Engineering Ready To Standardize Innovation?

Heads up, but don’t panic. It will be a while yet before something lands on your desk to which you will be asked to conform. But, an initial rail car has been put on the tracks and it is leaving the station.

Innovation is a relatively recent front and center corporate focus, right around a decade at this time. How can standards possibly be set, or even in development just yet? The truth is, innovation has been a subject of study and analysis for the past five decades. Best practices are currently being culled out, and many are nearing the ready point to enter the corporate mainstream.

Edward DeBono’s first book “The Use of Lateral Thinking” was published in 1967. By the 1980s, a number of large companies had used the “Lateral Thinking®” technique. There were enough positive results from the approach that corporations wanted more alternatives. Leading thinkers saw the opportunity to service an emerging market for innovation. Roger von Oech’s created his “Creative Whack Pack™” in 1989. This deck of sixty-four cards in four suits, four fundamentally thinking approaches, also gained corporate traction. There were only a handful more of “early providers” in this time frame, but corporate experiences were sufficient to make the case that innovation levels could be improved by external service providers.

Henry Chesbrough published his first work on “open innovation” in 2003. This seminal work opened up the traditional domain of innovation from being an internal-to-the-company initiative to making any and all things possible to better enable a company’s ability to innovate. When Boston Consulting Group teamed up with Business Week in 2004 to rank the most innovative companies on an annual basis, and companies could see their market cap rise or fall based on their movement in this annual list over the next several years, the innovation market took off. What resulted was a critical mass of companies that now wanted external tools and influencers to help themselves get better at innovating. Sufficient money could now be made servicing corporate demands. By 2008, GGI identified some two hundred seventy-five tools and/or service offerings available to corporations for the purpose of improving creativity and innovation [MD August 15, 2013]. Many of these offerings were from newly formed companies.

Is Engineering Ready To Standardize Innovation? [Machine Design – December 11, 2014] discusses the evolution of the innovation body of knowledge that has now resulted in the announcement of an “Innovation Management Framework [IMF]” by the Product Development & Management Association [PDMA].

Top 25 Corporate R&D-Product Development Metrics Now Focus On Portfolio, Pipeline, and Profits

GGI’s sixth primary research study of the Top 100 R&D and Product Development Metrics in North America, published on March 3, 2014, found notable shifts in Key Performance Indicators (KPIs) for R&D and Product Development in the past five years.

Innovation functions have been increasingly measured in business terms since the late 1980s, but the balance of the Top 25 KPIs remained internal to the function and were not business-focused.  In 2008, the balance became roughly even.  In 2014, the balance tipped. Industry now measures the product portfolio as it evolves in the pipeline with ten metrics that span end-to-end.  Three metrics measure ROI, IRR, NPV, or Payback. Three metrics measure revenues.

In addition, there are two measures of new product profits.  Average First-Year Profits of New Products joined Percent of Profits From New Products.  Both profit measures have been steadily rising in their adoption since the early 2000s.  Prior to 2000, profit measures were not present in the Top 25.  Perhaps the hardest KPI to accurately measure, this finding indicates that companies have increased their depth of understanding regarding their hard to quantify innovation functions.

The final seven measures focus on internal management of R&D, such as: Time-To-Market, Development Cost, R&D Spending, and measures of Headcount.

Movement in the remaining 75 metrics over GGI’s six studies indicates that measures of Intellectual Property (IP), Licensing, and IP Revenues and Profits will likely displace some of the current Top 25.

R&D still lags other business functions in its cross-industry measurement equivalency. Only seven KPIs are common across more than 40% of industry, and only fourteen KPIs are common across more than 30% of industry.  KPI #25 is common across only 17% of industry.  In comparison, other functions may have 70% or more KPI equivalency across industries.

GGI’s sixth study also researched changing trends in the R&D Operating Environment, Organic Innovation, Open Innovation, and Intellectual Property.

The complete findings of the research are available. They are being used to augment GGI’s executive education curriculum, ongoing since 2005, on Metrics and Innovation.  A Summit on Corporate Metrics will be held December 9-11, 2014. A Summit on Corporate Innovation will be held April 7-9, 2015.

18th R&D-Product Development Metrics Summit, December 9-11, 2014

This 18th Summit will provide participants with the best metrics for their individual companies across industries to drive R&D and Product Development productivity, output, effectiveness, and efficiency.  You will wrap your arms around the metrics that investment firms and Wall Street analysts are increasingly interested in regarding new product sales, value of the pipeline, time-phased portfolio value, company innovativeness, and innovation conversion rates to real products that launch.  Make no mistake, this Summit is geared for top folks chartered with leading and getting results from innovation in all its manifestations.  If you look at the written testmonials from our Summit participants, and the positions that they hold, it is clear that GGI’s Summit delivers the value and content that executives charged with running complex R&D operations need to be successful.

Our twenty-eight years as a corporation serving North America and Europe, along with our statistically valid primary research conducted over the past fifteen years, brings depth and executive perspective this 18th Summit.  We know the Top 100 Metrics that are the most used by corporations, and how they have changed over time.  On March 13, 2014 GGI published our 6th North American study of R&D and Product Development practices in the areas of R&D Operating Environments, Organic Innovation, Open Innovation, Intellectual Property, and the Top Corporate R&D Metrics In Use. Two-hundred companies from the USA, Canada, and Mexico participated in numbers that represent the relative R&D spending of the North American countries. There is no more current information anywhere on the industrialized continents in 2014. Participants in our 17th Summit earlier this year attested to this.  Again, GGI Summits are delivered from the prospective of C-Level executives who have overall responsibility for getting results and/or interfacing with external analysts.

During the first two seminars of the Summit, we will discuss the usable and practical part of the Body of Knowledge of R&D and Product Development Metrics that CXOs can put to work for their companies.  The first seminar, the first day, focuses on the hardest to measure operational areas including: capacity management, how to make trade-off decisions, hurdle rates, portfolio risk and complexity, overall returns from R&D investments, and the number of metrics a company should have to manage R&D from a CXO and then CEO level.  The second seminar, the next morning, focuses on planning, proactive, and predictive metrics that enable one to see ahead of actual results to enable a performance environment and culture that will produce superior results.

The third seminar of the Summit is best described as a Workshop, but it will include new material on rapidly evolving measurement areas in R&D.  Participants will break into working groups to apply their experience and new learnings of the past two days to create “a set of metrics” suitable for measuring all aspects of R&D — including Projects, Technical & Functional Disciplines, Improvement Initiatives, and most importantly the overall CXO-Level metrics for R&D that are used by the President, CEO, and investor community.   There will be several focused discussions during the Workshop on specialty metrics for Advanced Development, Functional/Technical Competencies, Intellectual Property & Licensing, and several other measurement topics that are rapidly entering the mainstream.

Senior executives wishing to put themselves and their fellow senior executives in a better position to direct and drive product creation and commercialization should strongly consider attending. The great majority of our prior participants will say, “this Summit covers everything an Officer or Senior Manager needs to know on the subject of Metrics and how to deploy them.”

 

18th R&D-Product Development Metrics Summit

 Early Bird Rates conclude at the end of business Pacific Time Friday, October 10.

 There are significant discounts for Individual registrants.

Companies that register Teams of three or more people
get even better discounts
that recognize their commitment to the Summit.

 

Measuring The Continuum of Research and Development

The Top 10 and Top 100 Corporate R&D and Product Development Metrics

The July 7, 2014 issue of 2PLM introduced the scope and focus of recent Goldense Group Inc. (GGI) research on R&D Operating Environments, Organic Innovation, Open Innovation, Intellectual Property, and “The Top Corporate Metrics used to measure R&D and Product Development”.

At GGI, our goal in each primary research effort during the past fifteen years has been to focus four areas of the research effort on emerging new practices, or on rapidly evolving or changing existing practices, to learn rates of change and/or growth.

In our recent research effort, the “2014 Product Development Metrics Survey”, the four topics of R&D Operating Environments, Organic R&D Innovation, Open R&D Innovation, and R&D Intellectual Property Practices were chosen as they satisfy those parameters. In addition, they are having an impact on the R&D metrics that corporations use.

The July 21, August 4, August 25, and September 8 issues of 2PLM addressed the research findings regarding these four areas.

In this sixth and final piece of the six part series, the research purpose is more akin to benchmarking than to discovering new and changing industry practices. In each research effort of the past fifteen years, our researchers have presented a list of the “metrics that CXOs are most likely to use to oversee R&D output, productivity, effectiveness, and efficiency.” Respondents are asked simply to put a check mark next to any metric that is generally part of management team and corporate reviews. The “Most Frequently Used Corporate R&D Metrics” results from tabulating the responses. The list of metrics is far from static over the past fifteen years.

This article may be found at:

The Top 10 and Top 100 Corporate R&D and Product Development Metrics

The pages at which 2PLM is published are:

Current Issue

Main 2PLM Portal

2PLM is a bi-monthly publication by John Stark Associates [JSA], based in Switzerland. JSA is focused on the body of knowledge of “Closed Loop Lifecycle Management (CL2M).” JSA and GGI have collaborated on various projects spanning three decades, including GGI’s primary research initiatives.

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A note on GGI primary research initiatives:

The six GGI primary research initiatives during the the past fifteen years may be found at GGI’s Primary Research site.

The 2014 primary research, entitled the “2014 Product Development Metrics Survey”, was conducted by sending questionnaires to a wide range of companies developing products throughout North America. Participating companies had headquarters throughout the Americas, Europe, and Asia, but their response was for North American R&D-Product Development operations. Complete data sets were received from 200 companies. Consumer, industrial, medical, chemical, and automotive/vehicular products were the top respondent industries. Participants completed 31 questions across the five primary research subjects. The research period was September 2012 to October 2013. The results were published March 3, 2014 in a 138-page report. This research is statistically valid and provides a Margin Of Error for each research question.

The Enculturation of Intellectual Property In R&D Practices Is Coming

In the July 7, 2014 issue of 2PLM, the scope and focus of recent research on R&D Operating Environments, Organic Innovation, Open Innovation, Intellectual Property, and the Top Corporate Metrics used to measure R&D and Product Development was described. The July 21, August 4, and August 25 issues issues addressed the industry research findings regarding R&D Operating Environments,  Organic R&D Innovation, and Open R&D Innovation respectively.

In this fifth of a six part series, selected GGI findings on Intellectual Property practices in R&D will be discussed.  Intellectual Property [IP], for the purposes of the research, included both registered and unregistered IP associated with R&D. Company Proprietary, Trade Secret, Enabled Publications, Copyright, Trademark, Provisional Patent, and Patent were generally the categories that respondents had in their minds as they addressed eight research areas spanning R&D and the general management of IP.ources, excluding the use of contracted personnel to supplement employee-equivalent responsibilities.

Four IP areas relating to R&D and PLM were researched: Importance of IP, Financial Tracking of IP, Financial Results from IP, Processes Used To Manage IP. Over 95% of all respondent companies provided answers to these four research areas. As “IP” has been around for centuries, and registered IP began in England in the Middle Ages, one would expect a high level of corporate awareness on the subject of Intellectual Property.

This article may be found at:

The Enculturation of Intellectual Property In R&D Practices Is Coming

The pages at which 2PLM is published are:

Current Issue

Main 2PLM Portal

2PLM is a bi-monthly publication by John Stark Associates [JSA], based in Switzerland. JSA is focused on the body of knowledge of “Closed Loop Lifecycle Management (CL2M).” JSA and GGI have collaborated on various projects spanning three decades, including GGI’s primary research initiatives.

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A note on GGI primary research initiatives:

The six GGI primary research initiatives during the the past fifteen years may be found at GGI’s Primary Research site.

The 2014 primary research, entitled the “2014 Product Development Metrics Survey”, was conducted by sending questionnaires to a wide range of companies developing products throughout North America. Participating companies had headquarters throughout the Americas, Europe, and Asia, but their response was for North American R&D-Product Development operations. Complete data sets were received from 200 companies. Consumer, industrial, medical, chemical, and automotive/vehicular products were the top respondent industries. Participants completed 31 questions across the five primary research subjects. The research period was September 2012 to October 2013. The results were published March 3, 2014 in a 138-page report. This research is statistically valid and provides a Margin Of Error for each research question.

Design Reviews Reduce Time to Market

Making Product Development Processes More Innovative [Machine Design – August 14, 2014] discusses ways that corporations can build more “innovation-think” time into their product development processes.  The article primarily focuses on improving the balance of activities that are required by company product development processes.

If capacity and throughput in Manufacturing and Production is accurately quantified as “equipment assisted by people,”  then R&D and Product Development is accurately quantified as “people assisted by equipment.” Paying attention to the specific activities that are required of development professionals is a key contributor to R&D productivity and throughput, more so than just about any function.  R&D-Product Development headcount is a single digit percentage of the work force that is required to generate fifteen to sixty percent of near and intermediate term revenues.  Time is a critical commodity.

Today’s product development process structures, many whose underpinnings date to times when digital simulation and testing were a very expensive commodity and there were far less computer models and illustrations on the shop floor, also bear a legacy of having test suites whose center of gravity and resultant corporate culture is after the product exists in physical form.  As such, Design Reviews last almost up to product launch.

Thinking best practices, physical form is late.  In physical form, one is answering a more reactive Quality Control question “does the as-built model conform to the requirements and specification?”  If yes, phew.  If no, as is usually the case, changes are required that can ripple through the entire supply chain.  Changes certainly take engineering time. These are not really Design Reviews.   Design reviews are reviews of design.

Analogous to re-balancing required pipeline activities to improve innovative thinking and new product creation potential, re-balancing a late center of gravity will also free time and energy for potential new product creation.

Design Reviews Reduce Time to Market [Machine Design – September 4, 2014] discusses how R&D-Product Development time can be saved by performing early and meaningful Design Reviews to help overcome legacy testing suites and a culture whose gravity is late into the process.  An ounce of prevention is worth a pound of cure.  Design Reviews result in a more productive, collaborative, and satisfied R&D-Product Development community.

NOTE: The article is currently posted. The MD September 4 magazine issue URL will enliven when the issue is published.

The Embodiment of Open R&D Innovation Management Begins

In the July 7, 2014 issue of 2PLM, the scope and focus of recent research on R&D Operating Environments, Organic Innovation, Open Innovation, Intellectual Property, and the Top Corporate Metrics used to measure R&D and Product Development was described. The July 21 and August 4 issues addressed industry research findings regarding R&D Operating Environments and corporate practices in Organic R&D Innovation.

In this fourth of the six part series, published on August 25, selected GGI findings on Open R&D Innovation will be discussed. Open Innovation [OI] is the ability of a corporation to invent and innovate using outside sources and resources, excluding the use of contracted personnel to supplement employee-equivalent responsibilities.

Open Innovation is a two way street. GGI coined “Inbound Open Innovation” and “Outbound Open Innovation” to segment the research. If a company looks to make its capabilities available to other companies that may have an interest, that is Outbound. If a company is looking to acquire innovation to supplement its own Organic R&D Innovation capabilities, or perhaps to repackage and sell acquired innovation, that is Inbound. This article focuses on Inbound OI.

Five Inbound OI areas were researched: Importance of OI, Financial Tracking of OI, Financial Results from OI, Corporate OI Approaches To Acquire Capabilities, and Processes Used To Manage OI. Over 95% of all respondent companies provided answers to these research areas. That, in itself, is an indication that this evolving body of knowledge is likely to have staying power in the years ahead.

This article may be found at:

The Embodiment of Open R&D Innovation Management Begins

The pages at which 2PLM is published are:

Current Issue

Main 2PLM Portal

2PLM is a bi-monthly publication by John Stark Associates [JSA], based in Switzerland. JSA is focused on the body of knowledge of “Closed Loop Lifecycle Management (CL2M).” JSA and GGI have collaborated on various projects spanning three decades, including GGI’s primary research initiatives.

The six GGI primary research initiatives during the the past fifteen years may be found at GGI’s Primary Research site.

The 2014 primary research, entitled the “2014 Product Development Metrics Survey”, was conducted by sending questionnaires to a wide range of companies developing products throughout North America. Participating companies had headquarters throughout the Americas, Europe, and Asia, but their response was for North American R&D-Product Development operations. Complete data sets were received from 200 companies. Consumer, industrial, medical, chemical, and automotive/vehicular products were the top respondent industries. Participants completed 31 questions across the five primary research subjects. The research period was September 2012 to October 2013. The results were published March 3, 2014 in a 138-page report. This research is statistically valid and provides a Margin Of Error for each research question.

The Sophistication of Organic R&D Innovation Management Continues

In the July 7, 2014 issue of 2PLM, the scope and focus of recent research on R&D Operating Environments, Organic Innovation, Open Innovation, Intellectual Property, and the Top Corporate Metrics used to measure R&D and Product Development was described. The July 21 issue addressed R&D Operating Environments.

In this third of the six part series, published on August 4, selected GGI findings on Organic R&D Innovation will be discussed. Organic Innovation is the ability of a corporation to invent and innovate from within, including the use of contracted personnel to supplement employee-equivalent responsibilities.

Three Organic R&D Innovation areas were researched: Types of R&D Performed, R&D Processes for Pre-Product Development Innovation, and Product Development Processes. All three of these areas were researched thoroughly in our 2008 study enabling a pre/post great recession analysis.

This article may be found at:

The Sophistication of Organic R&D Innovation Management Continues

The pages at which 2PLM is published are:

Current Issue

Main 2PLM Portal

2PLM is a bi-monthly publication by John Stark Associates [JSA], based in Switzerland. JSA is focused on the body of knowledge of “Closed Loop Lifecycle Management (CL2M).” JSA and GGI have collaborated on various projects spanning three decades, including GGI’s primary research initiatives.

The six GGI primary research initiatives during the the past fifteen years may be found at GGI’s Primary Research site.

The 2014 primary research, entitled the “2014 Product Development Metrics Survey”, was conducted by sending questionnaires to a wide range of companies developing products throughout North America. Participating companies had headquarters throughout the Americas, Europe, and Asia, but their response was for North American R&D-Product Development operations. Complete data sets were received from 200 companies. Consumer, industrial, medical, chemical, and automotive/vehicular products were the top respondent industries. Participants completed 31 questions across the five primary research subjects. The research period was September 2012 to October 2013. The results were published March 3, 2014 in a 138-page report. This research is statistically valid and provides a Margin Of Error for each research question.

The Great Recession Changed R&D Operating Environments

In the July 7, 2014 issue of 2PLM, the scope and focus of recent research on R&D Operating Environments, Organic Innovation, Open Innovation, Intellectual Property, and the Top Corporate Metrics used to measure R&D and Product Development was described.

In this second of the six part series, published on July 21, selected GGI findings on R&D Operating Environments are discussed.

Four R&D Operating Environment areas were researched: R&D-Product Development Strategy, Importance of Innovation, Centralization vs. Decentralization, and Facility Deployment. Several of these areas were researched thoroughly in our 2008 study enabling a pre/post great recession analysis.

This article may be found at:

The Great Recession Changed R&D Operating Environments

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2PLM is a bi-monthly publication by John Stark Associates [JSA], based in Switzerland. JSA is focused on the body of knowledge of “Closed Loop Lifecycle Management (CL2M).” JSA and GGI have collaborated on various projects spanning three decades, including GGI’s primary research initiatives.

The six GGI primary research initiatives during the the past fifteen years may be found at GGI’s Primary Research site.

The 2014 primary research, entitled the “2014 Product Development Metrics Survey”, was conducted by sending questionnaires to a wide range of companies developing products throughout North America. Participating companies had headquarters throughout the Americas, Europe, and Asia, but their response was for North American R&D-Product Development operations. Complete data sets were received from 200 companies. Consumer, industrial, medical, chemical, and automotive/vehicular products were the top respondent industries. Participants completed 31 questions across the five primary research subjects. The research period was September 2012 to October 2013. The results were published March 3, 2014 in a 138-page report. This research is statistically valid and provides a Margin Of Error for each research question.

Brad Goldense Appointed Technical Expert By Penton Publishing

Penton Publishing has quietly been executing a corporate initiative across its featured magazines, the appointment of “Contributing Technical Experts.”  GGI is pleased to share with you that Bradford L. Goldense, founder and president of GGI, has been appointed a Contributing Technical Expert for Penton’s Machine Design magazine.

Mr. Goldense has a B.S. in Civil Engineering from Brown University and an MBA from Cornell University.  He holds four professional certifications:  New Product Development Professional [NPDP] from PDMA, Certified Manufacturing Engineer [CMfgE] from SME, Certified In Production and Inventory Management [CPIM] from APICS, and Certified Computer Professional [CCP] from ICCP.  Brad taught in the graduate engineering school, The Gordon Institute, at Tufts University for nineteen years.  Mr. Goldense has consulted to over 250 industrial and high tech companies in over 700 manufacturing locations over his thirty-five year career.  He holds over two-hundred registered copyrights.  His work has been published by The Economist Group, Business Week, Industry Week, CFO Magazine, and numerous other trade publications. Goldense Group, Inc. [GGI], founded in 1986, is a consulting, market research, and executive education firm located in Needham, Massachusetts.

Mr. Goldense’s recent articles will be featured on Machine Design’s home page. His contributions will be maintained in Machine Design’s archives.

Applied Research & Advanced Development Come Of Age

Innovation is Changing Pre-Product Development R&D [Machine Design – September 5, 2013] addressed the widespread growth over the past dozen years in industry innovation activities that precede product development. Historically, only companies in the  life sciences industries and a handful of others commit significant resources prior to product development. Today, three-quarters of all companies have innovation and design resources engaged in development before they have defined products that go through product development processes.

Applied Research & Advanced Development Come Of Age [Machine Design – July 17, 2014] discusses corporate efforts and approaches to evolve the creative and innovation development activities that eventually lead to Product Development activities.

READER NOTE:  The URL for July 17 will become active when Machine Design’s July issue is published on the 17th.  The article was posted on June 23.

Product Architecture In The Digital Age

In the late 1980s and early 1990s, industry aggressively sought to understand the correlation between product requirements and product outcomes. HP, IBM, Corning, Northern Telecom, Motorola, Analog Devices, and a few others led multi-faceted multi-year campaigns to understand the correlation. An article by Ashok Gupta in California Management Review’s Winter 1990 issue best captured the findings. In short, 71% of what goes wrong in product development can be traced to missing or incomplete or inaccurate requirements.

During these years, except for mission critical and complex systems requiring zero-defect or fail-safe outcomes, the responsibility for product requirements began migrating away from technical functions to marketing and product management organizations to improve corporate abilities to unilaterally focus on them. Product champions became the stars.  The number of technical professionals involved in defining requirements gradually declined, as did their architectures.

Think about that 71% figure. It implies three out of four errors in product development are at least partially avoidable by good up-front planning and analysis. Younger readers may say, “looks like some old fogie is writing the article. We can be agile, rational, scrum, and sprint! And software is easier to modify, more flexible, and better all around.”

That’s all well and good, but the number of designs that are “spaghetti-like” in their architecture has been increasing. Requirements rarely ever arrive in a single package at the same time these days. Isn’t that necessary for a robust architecture? Sure the wizards get the rabbit out of the hat and make the product work, somewhat. But are we giving our companies and customers a best-in-class product? Missed, incomplete, and misinterpreted requirements are the ingredients that go into spaghetti architectures.

We should learn from history and ensure technical professionals again get heavily involved in the requirements definition and management process. We should emphasize strong relationships between product architecture, systems, and technical professionals, and the product or marketing organizations now responsible for defining requirements.

Product Architecture In The Digital Age [Machine Design – June 12, 2014] discusses industry’s movement away from systems engineering approaches that brought both technical and customer requirements together at the beginning of a new product development project.

18th R&D-Product Development Metrics Summit – December 9-11, 2014

This Summit will provide participants with a snapshot of the evolution, current status, and projected future of R&D and Product Development Metrics as viewed from the top of corporations.

During the first two seminars of the Summit, we will teach the Body of Knowledge of R&D and Product Development Metrics — with a focus towards the measures that company Officers and Senior Executives need to manage the organization and its performance as a whole. The first one-day seminar is dedicated to focus on the metrics for decisions and issues that Officers and Senior Executives face in directing and measuring overall performance and entire organizations. The three most adopted industry metrics of the past decade will be discussed, along with a number of other all-in-one metrics: 3M’s “Vitality Index,” the emergent “Return On Innovation” metric, and the rejuvenated “Return On Capital.” Capacity, pipeline and portfolio management, hurdle rates, risk, and trade-off analysis discussions round out the first day. The second seminar, a half-day concluding with an early afternoon luncheon, is dedicated to “proactive” and “predictive” metrics. Proactive metrics lower the risk of R&D investments before they are approved. Predictive metrics improve the ability to foresee the execution and financial outcomes of approved investments.

During the third and final seminar of the Summit, participants will break into working groups to create a “set of metrics” suitable for managing and monitoring R&D and/or Product Development organizations as a whole — including Projects, Technical & Functional Disciplines, Improvement Initiatives, and the overall Corporate Performance of R&D. Applied Research and Advanced Development organizations are easily accommodated as well in a single integrated framework, for companies with multiple development organizations. The Linked Metrics Portfolio® approach, preferred to the Balanced Scorecard for managing R&D and Product Development, will frame the exercise.

Senior executives wishing to put themselves and their fellow senior executives in a better position to direct and drive product creation and commercialization should strongly consider attending. Several of our prior participants have said, “this Summit covers everything an Officer or Senior Manager needs to know on the subject of Metrics.” GGI, a 28-year old company, has been recognized as a thought leader and practitioner in this field since the early 1990s.

Finally, and this is not true of all GGI Metrics Summits, GGI published our 6th North American study of R&D and Product Development practices in the areas of R&D Operating Environments, Organic Innovation, Open Innovation, Intellectual Property, and the Top Corporate R&D Metrics In Use on March 3, 2014. Two-hundred companies from the USA, Canada, and Mexico participated in numbers that represent the relative R&D spending of the North American countries. It will be difficult to find information that is more current to augment the practical nature and usable outcomes of this 18th Metrics Summit.

Please visit our Summit web site for additional content and registration information.

Corporate Innovation Now Focused On Business Results

NEEDHAM, Mass. — (BUSINESS WIRE) — March 13, 2014 — Goldense Group, Inc. [GGI] announced the completion of its sixth primary research initiative on the strategies, processes, practices, and metrics used in North American R&D and Product Development Innovation. This study focused on R&D Operations, Organic Innovation, Open Innovation [OI], Intellectual Property [IP], and the Top 100 Productivity & Performance Metrics used by corporations.

Two hundred companies from the US, Canada, and Mexico participated in equal proportion to the relative R&D Spending of these three countries, representative of North America. The response rate was 6.5%. A typical respondent company had US$ 4-5B in revenues.

While the relative corporate activity in Basic Research, Applied Research, Advanced Development, and Product Development remained largely constant for the past five years, the infrastructure in these areas experienced significant growth. Growth will continue. Two-thirds indicated innovation will be more important in the next five years than in the past five. Half indicated the same for OI.

The emerging OI and IP marketplaces, corporate enablers to monetize soft assets, continued to grow. Scouting and innovation intermediary firms achieved 15% penetration. Joint innovation ventures are reported by more than a third of respondents. Corporate abilities to track revenues and profits lag abilities to track costs, this is especially true for OI.

Seventy percent indicate that IP will be more or much important in the next five years. Three quarters indicate that the financial impact of IP is positive, none indicated negative. Over a third indicated they have formalized processes for monetizing IP. Thirty percent are changing their Trade Secret practices, now that First-To-File has become law in the United States.

After fifteen years of little change in corporate metrics for R&D and Product Development, there has been a sea change in the use of metrics to focus on business results in the past five years. The “R&D sand box” is almost gone. Twenty-three of the Top 25 metrics now measure pipeline attributes, productivity, and results.

These findings are excerpts from two available reports on GGI’s 2014 Product Development Metrics Survey. Findings are also located in Driving Product Development™ and Tangible Innovation!™, and will be discussed at the 17th R&D-Product Development Metrics Summit being held April 15-17, 2014 in Norwood, Massachusetts.

Predictive Metrics for Projects & Programs

Measuring Competencies In Lean & Innovative Companies, October 16, 2013, focuses on metrics that are part of the Functional/Technical subgroup of metrics. Projects/Programs, Improvement, and culminating Corporate-Level metrics are the other subgroups. Competency measurement, without yet being statistically shown, will be ultimately be shown to correlate with corporate success.

Another group of metrics that will ultimately be shown to correlate with corporate success are the metrics that are “Proactive & Predictive” for projects and programs. GGI is credited with codifying a group of metrics that precede a go-no go approval decision that take risk out of projects and their resultant products, and coining them as Proactive. In sequence, Predictive metrics begin at project/product approval and generally cease when an initial form and function prototype is realized. Predictive metrics compare updates against the approved plan to track deviation or convergence. Together, both Proactive and Predictive metrics are quite useful in eliminating risk and variation in the pre, early, and mid stages of R&D investments.

The vast majority of all R&D spending across the globe is directed to project and programs. Relative to all other categories and types of R&D measurement, excepting the same types of metrics for products, metrics that enable the ability to show what might, could, or will happen to the volume of spending on projects and programs are perhaps the most important. Practically speaking, if a company performs poorly on a project, it is immediately visible within the company. If less than desired performance continues across multiple projects over time, performance usually becomes visible in the products emanating from the company and begins to affect branding, reputation, and pricing. A company can typically recover from a single product that does not live up to expectations. But, when the “product development factory of projects and programs” falls short of expectations multiple times the impact on products and the portfolio is rarely escaped.

Will we ever get to the level of process control over WIP that we now enjoy in manufacturing and other operations functions? Certainly not, nor do we wish to do so. Necessarily we wish to have more probability and variability in product development or we would quash innovation.

Today though, we still suffer way too much air time discussing the metrics that account for “what has happened.” Yes, these “reactive” metrics have a place. It is necessary to measure and record what has or did happen. Reactive metrics also play quite well to the capabilities of North American professionals, who are generally world class problem fixers. A key remaining opportunity for project and program measurement is to develop better proactive and/or predictive correction abilities.

What should or can be measured, early in the cycle, that will give actionable indications that the promised results for the project or the product are deviating from or converging to plans and promises? Is there even one measure in existence today that can be taken early in product development that has been shown to have a 1:1 correlation with the promised plan or output? Not yet. Operations, finance, sales and other company areas have such measures though. Relatively speaking, the science of R&D project and program metrics and measures still has some greenfield in front of it in comparison to the measurement proficiencies that other business functions have attained for the monies and capital entrusted top them.

Predictive Metrics for Projects and Programs [Machine Design – November 7, 2013], delves more deeply into a subject that will be on the front burner of corporations in the years ahead. The corporations that are the first to master early correlating measures of plans and promises to actual outcomes will gain a competitive advantage until the management science becomes widely understood.

R&D Metrics For Manufacturers: Measuring Your Productivity

On April 3, 2014, GGI will be presenting a webinar in conjunction with Lorman Education Services entitled “R&D Metrics For Manufacturers:  Measuring Your Productivity.”  A number of topics will be discussed, including “New Process-Ware Preceding Stage-Gate,” “Emergent Innovation-Age Metrics,” and “State-Of-The-Industry R&D Metrics Practices In 2013.”

GGI has just completed a primary research study of 200 companies in North America that will be published in early 2014.  This webinar will include information from several areas of the research related to “R&D Operating Environment,” “Organic Innovation,” and “Top Corporate Metrics Used In Industry R&D Practices.”

Some highlights of our planned discussion on April 3 will hopefully entice you to spend an hour with us starting at 1:00 PM CDT.  This blog post will be updated at the bottom of this post with the registration details and codes when they become available.

WEBINAR OVERVIEW

Globalization, business alliances, open innovation, and improved improved organic innovation initiatives to gain strategic advantage in this era of global competition are driving significant changes in measurement practices for innovative functions. The depth of the recent recession augmented the rate of change.

GGI has been tracking the R&D and Product Development metrics used by industry for twenty-five years, and regularly for the past fifteen years.  Our 2013 findings indicate that there is now a clear industry-wide focus for R&D metrics to address business results. That has not always been the case. “Business results” does not equate to conservative portfolios either. There are more risk monies being spent.  But, a plethora of newly developed processes to oversee risky and exploratory activities now keeps a business focus on these early stage activities; and is causing a need for new metrics. The sand box definitely shrunk in the past five years.  The entire pipeline portfolio is receiving increased scrutiny.

Shifts in the priority of a number of measures towards measuring business results have been on track since the 1990s at a slow pace.  Our 2008 findings indicated some type of inflection point in real priorities was nearing.  A comparison of the same twenty-five metrics between 2008 and 2013 shows a clear priority shift, that will likely be permanent.

Finally, intellectual property is increasingly being used as a revenue and profit generation tool; and as a revenue and profit protection tool.

In summary, R&D productivity improvements are being driven by a combination of “business environment” factors and the “maturation of the monetizable IP marketplace.”  Existing metrics are being elevated or demoted to support today’s needs and opportunities.  New metrics are being created to measure R&D areas that have not previously existed, or were not of a size or importance that warranted corporate measurement.

 

WEBINAR AGENDA

I.  R&D Management Evolution & Revolution

  • Timeline 1940-2025
  • Best Practice Process Execution
  • New Basic & Applied Research and Advanced & Product Development Practices
  • New Process-Ware Preceding Stage-Gate Is Spreading Across Industry

II. Emergent Innovation-Age R&D Metrics

  • Vitality Index
  • A Metric For The Hockey Stick and The Chasm
  • Return-On-Innovation
  • Research & Development Effectiveness Index
  • Advanced Development Return-On-Innovation
  • Applied Research Return-On-Innovation
  • Case Study: A Top 10 Global Innovator
  • Return-On-Capital

III. State-Of-The-Industry R&D Metrics Practices In 2013

  • Top Twenty-Five Corporate R&D Measures in 2013
  • Top-Twenty Five Comparison Pre-Recession 2008 to Post-Recession 2013
  • Continuing Commercialization Issues
  • R&D Metrics Penetration Changes 1998-2013
  • R&D Metrics Penetration In The Coming Decade

IV. Recommendations

  • Effectiveness Metrics Outperform Efficiency/Productivity Metrics In Value Generation
  • Sigma-Level Portfolio & Pipeline Control That Maximizes Business Value

 

WEBINAR REGISTRATION

Please check back.  The URLs for further information, registration codes and details, and possible discounts will be located here when they become available.  Thank you for your patience.

If you have been considering GGI’s Summits, this might be a good way to see if spending three days with us will help to achieve your goals.

17th R&D-Product Development Metrics Summit – April 15-17, 2014

This Summit will provide participants with a snapshot of the evolution, current status, and projected future of R&D and Product Development Metrics as viewed from the top of corporations.

During the first two seminars of the Summit, we will teach the Body of Knowledge of R&D and Product Development Metrics — with a focus towards the measures that company Officers and Senior Executives need to manage the organization and its performance as a whole. The first one-day seminar is dedicated to focus on the metrics for decisions and issues that Officers and Senior Executives face in directing and measuring overall performance and entire organizations. The three most adopted industry metrics of the past decade will be discussed, along with a number of other all-in-one metrics: 3M’s “Vitality Index,” the emergent “Return On Innovation” metric, and the rejuvenated “Return On Capital.” Capacity, pipeline and portfolio management, hurdle rates, risk, and trade-off analysis discussions round out the first day. The second seminar, a half-day concluding with an early afternoon luncheon, is dedicated to “proactive” and “predictive” metrics. Proactive metrics lower the risk of R&D investments before they are approved. Predictive metrics improve the ability to foresee the execution and financial outcomes of approved investments.

During the third and final seminar of the Summit, participants will break into working groups to create a “set of metrics” suitable for managing and monitoring R&D and/or Product Development organizations as a whole — including Projects, Technical & Functional Disciplines, Improvement Initiatives, and the overall Corporate Performance of R&D. Applied Research and Advanced Development organizations are easily accommodated as well in a single integrated framework, for companies with multiple development organizations. The Linked Metrics Portfolio® approach, preferred to the Balanced Scorecard for managing R&D and Product Development, will frame the exercise.

Senior executives wishing to put themselves and their fellow senior executives in a better position to direct and drive product creation and commercialization should strongly consider attending. Several of our prior participants have said, “this Summit covers everything an Officer or Senior Manager needs to know on the subject of Metrics.” GGI, a 28-year old company, has been recognized as a thought leader and practitioner in this field since the early 1990s.

Finally, and this is not true of all GGI Metrics Summits, GGI has just completed our 6th North American study of R&D and Product Development practices in the areas of R&D Operating Environments, Organic Innovation, Open Innovation, Intellectual Property, and the Top Corporate R&D Metrics In Use. Two-hundred companies from the USA, Canada, and Mexico participated in numbers that represent the relative R&D spending of the North American countries. It will be difficult to find information that is more current to augment the practical nature and usable outcomes of this 17th Metrics Summit.

Please visit our Summit web site for additional content and registration information.

16th R&D-Product Development Metrics Summit – November 12-14, 2013

 The purpose of the 16th Metrics Summit is to robustly address the metrics that are needed by R&D and Product Development leaders to maximize their company’s return from its investment in R&D.  The focus of the Summit will be at the VP/CTO level.  We will cover the few metrics and performance indicators that are reported upward to the CEO.  We will cover the greater number of metrics that are needed by the VP/CTO to manage activities and operations that report within the R&D-Product Development organization.  This is the first day and one-half.

We will then commence a Workshop where the executives will choose into their working groups based on the commonality of their R&D Strategy.  It is not every day that one gets to sit down with peers who also have the challenge of deciding the “best metrics” to support the achievement of R&D Strategy.  Many lasting relationships are built at our Summits because folks face the same challenges.  Is your R&D Strategy to be an Innovator?  Is it Platform-Derivative?  Are you a Balanced Portfolio strategy?  Do you focus on being second or later to market, with a better price and service?  There are other competitive strategies as well.  The best metrics for each of these strategies are different.  Further, if revenue and profit maximization is paramount then your metrics will be different than if asset maximization is paramount.  For example, a capital-intensive Innovator will have many different measures than would a revenue-profit innovator.

During the Workshop several subjects will be interspersed that are necessary for comprehensive measurement of research and development, but whose metrics are usually in supporting roles to the CEO-Level metrics, including:  Advanced Development, Functional and Technical Competencies, Intellectual Property, Program Management, and Improvement Projects among other topics.  At the conclusion of the Summit, the “best metrics for a given strategy,” the “necessary metrics to oversee R&D,” and “the total number of metrics required” will be apparent to all participants.

Unique to this 16th Summit will be a hot-off-the-press statistically valid study of the metrics used by 200 companies to measure R&D-Product Development.  GGI, a twenty-seven year old company has been performing primary research in metrics since 1998.  A rank-order list of one-hundred one metrics, indicating the percentage at which a metric has penetrated industry, is sure to be a stimulating undercurrent at this Summit.  Our 2008 research indicated that profit, productivity, competency, intellectual property finance, and aggregate measures of innovation and innovative ability were on the rise.  We expect to see the measures of advanced research and development organizations join the risers in 2013.

Senior executives wishing to put themselves and their fellow senior executives in a better position to direct and drive product creation and commercialization should strongly consider attending. A great number of our participants have said, “this Summit covers everything an Officer or Senior Manager needs to know on the subject of Metrics – a rigorous learning experience that can be put to immediate use.”

Please visit our Summit web site for additional content and registration information.

Measuring Competencies in Lean and Innovative Companies

R&D Metrics Dashboards Should Include Pure Innovation, Advanced Development, IP, & Competency Measures, July 21, 2011, discusses four areas of R&D and Product Development where the need to measure is increasing due to the increasing importance of the activity.

One of these areas is “competency measurement.” While there are hundreds if not thousands of competencies that companies may be concerned about, and those competencies differ significantly by industry and by a company’s competitive strategy and position, the subject can be simplified by thinking of two basic types that apply in all cases. In short, there are “Core Competencies” and “Functional or Technical Competencies.”

In most companies, there is still little distinction between these two groups. That is perhaps to be expected because initial codification did not appear in literature until the early 1990s and the subject matter is still relatively new. There are great differences between these two groups however.

Core Competencies refer to the “handful or less of the capabilities of a given company that enable it to compete and succeed in its industry and/or relative to its competitors.”  The best description and context that I have come across for Core Competencies was published by C. K. Prahalad in his 1994 book entitled “Competing For The Future: Breakthrough Strategies For Seizing Control Of Your Industry And Creating The Markets Of Tomorrow, which he co-wrote with Gary Hamel.  In their book, the authors offer that even the largest of companies have only one to three Core Competencies.

In contrast are the myriad of functional and technical competencies that must be built and maintained for individuals, cost centers, departments, and business units for the company to compete and succeed.  Functional and technical competencies generally enable the resultant core competencies.  In rare cases a functional or technical competency may also be a core competency, but usually not.

Measuring Competencies in Lean and Innovative Companies [Machine Design – October 10, 2013], discusses key factors that are driving the growth in functional and technical competency measurement.  Lean practices started the ball rolling in the 1990s.  Globalization changed the basis of competition for many company companies in the 2000s.  The need for repeatable “factory-like” product innovation is putting the capstone in place in the 2010s.  Seasoned product developers are having different reactions than are folks that have entered the work force more recently.

IP & Innovation Will Drive Product Development

Intellectual Property Changes In The Next 15 Years, April 5, 2011, discussed the “Seven Generations” of Product Development that have occurred in the past 60 years and are occurring in the next 20 years.  These Generations serve as a useful guideline for professionals that have the responsibility to direct and guide other professionals toward a common goal in the technical functions of a corporation.

Industry currently has feet in two generations at the same time, “Technology Push” and  “IP Enabled.”  What is happening in technology in all industries today makes the boom of the late 1990s pale in comparison.  The same can be said of IP, and it has very little to do with the “First-To-File” legislation that went into effect on March 16, 2013.  FTF caused almost no change for non-US corporations who already had their procedures set up for FTF.  Most US corporations had adequate time to reset to FTF.  GGI is currently doing research on whether or not FTF caused change to company trade secret policies and procedures, more on that by late fall.  No, the commoditization and monetization of IP is the big deal.  When IP can be readily sold, especially before it is put into a product, many corporations will evolve their approach to product development.

IP and Innovation Will Drive Product Development [Machine Design – June 13, 2013], discusses attributes, challenges, and opportunities to succeed in the Technology Push and IP Enabled Generations.

Intellectual Property Changes in The Next Fifteen Years

Our global citizens realizing the true and ultimate importance of “Intellectual Property [IP]” is coming none too soon. “Non-Organic” Open Innovation is rapidly growing as is “Organic” Innovation; and one also begets the other after a fashion. In a couple decades, Open Innovation will become much more embedded and produce the level of financial yields that Organic currently does. The ultimate result can only be more Generation 6 Technology Push [Exhibit A], “build it and they will come.” The incubation time is still uncertain, but we will recognize its success because it will have most of the exciting aspects of the “dot com boom” of the late 1990s.

EXHIBIT A
The Seven Generations Of Concurrent R&D-Product Development-IP Practices

Intellectual Property Evaluation Scenario for Corporations Over 5 Decades

While all that will be wonderful, and will hopefully help restore economic health around the globe in the coming years, there is money involved at every step. Be sure that all countries and all companies and all individuals will be a lot clearer on how to strategize, identify, create, package, value, share, trade, maintain, administrate, retire, and portfolio-manage all forms and categories of intellectual property in the not too distant future.

If trends go like the explosive US bond market of the early 1980s, and there is a Mike Milliken to boot, new forms and categories and packagings of IP will emerge during this 7th Generation [Exhibit A]. Yes, some of them will be junk too. The lion’s share however will redefine the balance of value of corporations and countries in the future, not just in the financial markets but in annual corporate balance sheets and income statements [Exhibit B]. The best companies are already making provisions for this outcome.

Exhibit B
Intellectual Property Evolution Scenario For Corporations Over Five Decades

Intellectual Property Evaluation Scenario for Corporations Over 5 Decades

“Deliberateness with patience” will be the best approach. To get to the other side of this “IP-Enabled 7th Generation” requires that government make changes, and not just academia and industry. So far, the prior six generations [Exhibit A] of improvement in creation functions have not had to have government cooperation to get to the other side. Ultimately IP will be freely traded and exchanged as a commodity, much like wheat or soy beans or historic cars at an auction. Industry is already trading IP in open public markets and auctions. Mutual funds and ETFs based on the estimated intellectual property content in public corporations can already be bought and sold through retail brokerage firms.

From a work method viewpoint though, Intellectual Property is still a functional-sequential process in most corporations. Worse yet is that is not clear, that when compared to other common business practices and activities, if the overall internal IP process is even a rapid functional-sequential process. IP professionals are too often brought in late in product creation processes. Packages of information are too often tossed over-the-wall to the next function responsible for handling the package. IP is too often outsourced to legal entities whose domain knowledge is sometimes so limited that it relegates IP to be an administrative activity. Too often, corporate managers view IP as a pure expense. Compartmentalization and control is the result. More balanced perceptions that also view IP as a potential source of revenue and profit are necessary.

Yes, the product developers are learning more about IP. Yes, the technical capabilities of lawyers are increasing. Yes, financial professionals have increased awareness about the value of IP. However, relative knowledge and empathy is still much like the 1980s. Engineers did not know what the manufacturing people needed to know, and the manufacturing people did not know what the engineers needed to know. The empathy for IP is still too low. The touch points between product development processes and IP processes have recently started to become clearly marked on most product development and R&D process diagrams. Persons, although often physically proximal nowadays, remain largely engaged in their own process and their specific domain knowledge. There are too few integrated and concurrent practices at this time.

In the coming decade and beyond, the “IP Pipeline” will become much more congruent with the product pipeline. It will be followed by a Sales and Marketing cycle that will look and feel just like the sale of products. Likely, many Sales professionals will be responsible for representing both at any given customer account. Responsibilities will be portrayed in a common process that is inclusive of key product and IP disciplines working in a concurrent method. Business Plans will have two revenue and profit forecast sections, one for product revenues and profits and one for the IP revenues and profits. Estimates of financial returns will be calculated individually, and as a whole — in the same business plans and decision documents. It only makes sense. After all, a great percentage of both products and IP are actually derived from the same R&D spending dollars. As well, the current R&D-Product Development decision-making executives will become inclusive of IP decision-makers in an integrated and concurrent manner at every step of the inevitably congruent pipeline.

For more information on the increasing concurrency of R&D-Product Development and IP activities, please refer to an article published in Intellectual Asset Management magazine in the November-December 2009 issue, “Integral IAM and new product processes are the future.” You may contact the publisher directly for a reprint, or download a complimentary copy here.

For general information in this subject area please visit www.goldensegroupinc.com.
For educational events that further explore these practices, please visit our upcoming Innovation Summit.

What’s Happening To R&D Spending

Many organizations conduct research each year to determine the absolute and relative levels of R&D Spending. Many writers and editors use this research as a barometer of the health of companies and industries. These activities are essential and should not be diminished in any way. Equally important, but much less often investigated, is the allocation of funds within an R&D budget. These changing allocations are every bit the barometer as overall R&D Spending, but are harder to research and therefore to quantify. In short, for the past few years, researchers and authors have been “flowing” with the environment of these economic times. It is popular and noncontroversial to say, “companies are being more prudent with their R&D dollars and are allocating them to shorter term incremental product additions and upgrades to existing products and product lines.” This is safe to write and it feels good to read. It is practical and Wall Street likes it, especially in difficult economic times.

What we are seeing however is profoundly different. We are seeing a clear trend, since FY2005, that companies are shifting more monies to earlier stages of development in the hope of achieving more innovative products with higher margins. Our barometer, which is the “absence or presence of processes to direct and manage earlier stage activities,” is on the rise. Primary research conducted by GGI between August 2007 and February 2008, published May 15, 2008, indicates a significant growth in “process-ware” for development activities that precede product development. Expressed as a continuum, Basic Research is followed by Applied Research is followed by Advanced Development is followed by Product Development. For most companies in most industries, the lion’s share of the budget goes to Product Development. Without being too exact or industry-specific, single digit percentages of R&D Budgets usually go to the three pre-product development activities. It doesn’t take too much financial reallocation to essentially double the budget of these three earlier activities, without significantly affecting the overall budget for Product Development. This is what we see, serious process-ware is being developed as the budgets for these three earlier stages are experiencing significant growth relative to their historical baseline. Some 75% of companies in our statistically valid primary research now have one or more tailored processes to facilitate management’s ability to direct earlier-stage innovation.

It is hard to reconcile the research of the “big houses” that report budgets being focused on incremental, enhanced, and portfolio-fill products versus our own research. If they are not incorrect and we are not incorrect, then it possibly means that a sort of bimodal distribution of R&D spending is developing. Companies are making sure there is something new each year to keep their sizzle in the marketplace while investing more than they have in the past to improve their chances of bigger bangs in the future. In baseball terms, singles, triples, and home runs are a likely future with a drop in the number of doubles being hit by the company teams.

The mix and allocation of spending is equally important to the overall level of spending when it comes to the subject of innovative products that command price premiums.

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