Archive for the ‘Tactics’ Category

Measuring Intellectual Property: Top 5 IP Metrics In Product Development

Monday, October 30th, 2017

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  But, two of the top five penetrating IP metrics have now been superseded by “licensing.”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 Top 10 Product Development Metrics: Then & Now

Monday, October 30th, 2017

GGI started doing primary research on the penetration of specific metrics in R&D and Product Development in 1998. Now 2017, about 20 years time, we have taken the pulse six times.  Once every 3-4 years is a good cadence for R&D.  Process change takes more time in long duration business functions, such as the innovation functions, and then metrics follow.

There are always incremental changes in each research effort, and a few new metrics like the “Vitality Index” and “ROInnovation” that arise out of the blue, but the overall tenor remained the same.  CEOs accepted “activity metrics” from R&D.  This has been true since the start of my career.

Well, evolving from the economic challenges of this past decade, CEOs now expect business performance metrics to a much greater extent.  Activity metrics still prevail among the top cross-industry metrics, but the tide has clearly shifted. New Product Revenues (aka Vitality Index) cracked the Top 10 in the early 2000s.  But, not a single measure of profit could be seen – until recently.

Business performance measures musn’t always be about revenue and profits, by any means.  The point is that there has been “a glaring absence of any prevalence of true performance measures.”

The additions, changes, and rearrangements in the Top 10 won’t knock your socks off.  But, given the decades of historical consistency, this is great progress in the advancement of management science for the creative functions.

We looked at 101 different corporate-level metrics.  Here are the Top 10.  You be the judge.

 

Top 10: Historical

Top-10-Product-Development-Metrics-Historical

 

Top 10: Today

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Top 10 Product Development Metrics: Then & Now [Machine Design – September 2017] identifies the top ten metrics, the degree of penetration across industries, and discusses the macro change that has taken place in the recent decade.

 

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Metrics for IoT-Enabled Products

Monday, August 14th, 2017

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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