Point: By picking where open innovation occurs and what it communicates to the rest of the organization, innovators can protect open innovation efforts from corporate antibodies

Story: All organizations, especially large ones, have an “immune system” in the form of an army of fine-tuned antibodies that root out risk and threats to the smooth-operating status quo.  These antibodies help drive efficiencies, attack waste, promote uniform performance, and prevent infection for foreign ideas.

That’s good for efficiency, but innovation requires taking risks and changing the status quo to create more value.  That makes innovation a prime target for the cleansing action of antibodies.  Open innovation is especially prone to antibody response because it involves foreign ideas.  At the December 2009 Open Innovation Summit, presenters from HP, CSC, Clorox, and Shell described how they avoided corporate antibodies at their companies.  The techniques addressed who participates in open innovation, where they operate, and what they communicate so that innovation succeeds and doesn’t get killed by antibodies.

For example, Russ Conser, Manager of EP GameChanger at Shell, offered a good metaphor for where to do open innovation.  He showed an image of a young girl building a castle in a sandbox under a large umbrella. The sandbox metaphor works on two levels.  It provides a protected place for innovation to do its value-creating experimental work.  The sandbox also is the container for the innovator’s gritty sand, protecting the larger organization from the risky rough ideas.

Phil McKinney, SVP and CTO at Hewlett Packard, concurred — HP put its OI in a quiet corner of the Personal System Group. The sandbox creates an antibody-free zone for innovation work and protects the larger organization from the early-stage risks of innovation.

When communicating about open innovation efforts, innovators’ communications can either attract attacking antibodies or help pacify them.  What innovators and their representatives say determines how antibodies react. For example, Lemuel Lasher, Chief Innovation Officer at CSC, cautioned that innovators shouldn’t be too quiet or too secretive, especially when the facts are on the side of the innovator.  Innovators should be provocative as long as they don’t provoke too strong an immune reaction.

Ed Rinker, Manager of the Technology Brokerage Group at Clorox, used hard-hitting facts to convince his organization to deviate from its brand strategy.  Consumer trends toward gentle green and natural products seemed antithetical to the Clorox brand of strong cleansers.  Rinker used facts like marketing tests that proved  consumers preferred GreenWorks with the Clorox name on the product to convince the antibody nay-sayers.

The most-cited communications recommendation, used at HP and Shell’s programs, is communicating what the innovators did and not what they are doing or planning to do.  This focuses the discussion on the new products, new customers, new revenues, and new profits generated by innovation, rather than on the potentially risky or disruptive projects underway by the innovators.  Shell’s Gamechanger Group continues to thrive after 12 years inside the billion-dollar giant because they show results.

Action:

• Find an ‘air-cover’ executive who provides the umbrella of protection for innovation
• Use a quiet corner or sandbox where innovators can generate results without interference or creating risk
• Describe the good projects you did, not the risky projects you’re doing or plan to do
• Live on the boundary between sufficiently provocative and excessively provoking

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Point: When reviewing the ideas submitted to your open innovation portal, identify ideas that have momentum and ideas that are outliers.

Story: Open innovation efforts yield many ideas, often too many to use. So, what’s the best way to manage and make productive use of the ideas you receive? To answer this, I interviewed Jim Todhunter, CTO of Invention Machine, as part of the Open Innovation Summit held in Orlando December 3-4, 2009. I asked Jim about how Invention Machine Goldfire software can be used in open innovation efforts. He described three key tasks to do after you have received a set of submissions from an open innovation effort.

The first step is to organize the ideas into buckets.  Todhunter described how Goldfire speeds this process and reveals relationships among ideas as well. Goldfire uses semantic technology, which means that it’s not limited to finding exact keyword matches when searching or analyzing submissions. Rather, semantic engines understand the meaning of the words, so they can cluster related ideas regardless of the specific terms that users submitted. That’s a useful feature for open innovation, because people often use different terms or nonstandard words in their submissions. Semantic technologies find text that has similar meaning, even if it does not use identical words.

Todhunter illustrated the second step with a hypothetical example. Let’s say you’re a medical device company looking for innovations related to sphygmomanometers (the familiar arm-cuff device for measuring blood pressure). Goldfire will automatically divide your open innovation ideas into different tiers of concepts. Top-level tiers are general concepts and concepts around functionality. Finer-grained buckets under these meta-categories are categories like advantages and disadvantages that your customers see about your product or competing products.  For example, within the “advantages” cluster you might notice that a customer submitted an idea referencing an advantage of a competing product by saying “this other sphygmomanometer doesn’t pinch when people pump it up.” Regardless of the specific terms that a person uses, Goldfire can identify a concept like “pain-free use” and create a cluster of that concept.  If several other people use terms such as “pinch” “hurt” “discomfort” or “squeeze”, then you know that’s a key issue to focus on. Identifying ideas that have momentum helps the company serve existing customers better.

But it’s not just the momentum ideas that have value. In the third step, you identify a different type of potentially valuable suggestion. Specifically, Goldfire looks for what Todhunter called “singularities” — outlier ideas that had very little discussion. Outlier ideas may be worth nothing or they may be the future of the company.  On one hand, the dearth of discussion might mean that the idea wasn’t very useful. On the other hand, that singularity may be next new application that is just starting to emerge. “Singularities represent interesting, unique points of value that may relate to unserved audiences, new applications, new applications of technology, or new pockets of interest that you as a company haven’t served — these can be your underserved communities that create the opportunity for new disruptive market elements,” Todhunter said.

Action:
1. Gather as many open innovation idea submissions as possible
2. Quickly bucket the ideas (and parts of ideas) to look for patterns
3. Look for the most-mentioned ideas to find high-priority innovations
4. Also look for outliers to find potential high-value innovations.

For more information:

Open Innovation Summit

Invention Machine

Jim Todhunter’s blog: Innovating to Win

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Point: Capture, share and reuse knowledge to make R&D engineers more productive

Story:

At Power to Innovate 2009, Boston Scientific’s Randy Schiestl (VP of R&D) and Jude Currier (Cardiovascular Knowledge Management & Innovation Practices Lead) described how Boston Scientific is redesigning its innovation processes. The goal: to accelerate time to market, increase the productivity of innovators, and reduce costs and risks.

Boston Scientific is an $8 billion company committed to delivering innovative medical technologies that improve the quality of patient care as well as healthcare productivity. The company has a broad portfolio of 13,000 products. The new products in its pipeline include drug coated stents, bare metal stents, catheter and bio-absorbable technology.

In the past, Boston Scientific drove innovation from business strategy to technology development to product development. In this staged approach, engineers created technology-driven products that were then shown to business units and customers at the prototype stage. The trouble with this process was that the later groups often found gaps or risks in the proposed product late in the product development process. As a result, the company had to spend more money than expected putting out fires while trying to hold to a launch schedule.  Boston Scientific decided to change its innovation process to bring more knowledge and resources into the earlier stages of innovation.

As part of the new innovation process, Boston Scientific began bringing in key “voices” into the innovation process earlier. By getting these voices — the voice of the customer, the voice of the business unit, and the voice of regulatory bodies — earlier, the company uncovered its knowledge gaps and risks much sooner. The second part of Boston Scientific’s innovation process redesign gave employees access and pointers to relevant information, whether that information resided in a document or in the tacit knowledge of an expert. The goal here was to reduce the amount of time engineers spend looking for knowledge. Schiestl said engineers spend 30% of their time looking for relavant knowledge. To improve upon that, Boston Scientific used Goldfire (innovation software from Invention Machine) to capture, share and reuse knowledge.  Goldfire’s semantic technology automatically categorizes concepts can and ties relevant intelligence to specific innovation initiatives. For example, engineers used Goldfire to identify past research and then validate whether that research could be repurposed. The result: Boston Scientific engineers who used Goldfire spent only 10 percent of their time researching intelligence, compared to 20-30 percent by non-Goldfire users.

Boston Scientific’s new innovation process illustrates what Mark Atkins, CEO of Invention Machine, called an innovation intelligence ecosystem.  This ecosystem represents the aggregate of information, communities, and processes that collectively contribute to innovation. Here’s how it works: using innovation software like Invention Machine’s Goldfire, companies capture and reuse information and intellectual capital created by employees as well as by external sources. Goldfire further enables collaboration by accurately reconstructing a user’s past thinking and research process, making it visible and explicit to other users. Employees avoid reinventing or duplicating research already done, thus saving time and improving innovation productivity.

Boston Scientific shared two examples of its success using Goldfire and the company’s new innovation processes. First, the company improved the design of cardiac stents to reduce a patient’s injury-response to the device. By combining knowledge from across the innovation ecosystem, the company mapped key clinical knowledge about heart disease and how different heart artery conditions affect the patient outcomes with different stent designs.

In the second example, Boston Scientific used Goldfire to solve a technical problem in manufacturing that was reducing product yields.  Using Goldfire, Boston Scientific found that previously undocumented thermocapillary effects were leading to clogged spray nozzles. By understanding the physics of the cause, Boston Scientific was able to make a simple change to the manufacturing line to eliminate the clogging and thereby improve yields.

Action:

• Uncover all the “voices” that have a say in the success of innovations (the voice of the customer, voice of technologists, voice of manufacturing, voice of regulatory compliance, etc.).  Connect key people and communities in a more collaborative, sharing-oriented environment
• Identify, organize, and access information (internal and external) needed by these communities to do their innovation-related work.
• Develop knowledge and innovation processes that find and resolve knowledge gaps or risks early in the innovation process.