16 metrics for tracking Collaborative Innovation performance

In a recent PwC survey, 61% of CEOs said innovation was a key priority for their company (pdf). The only surprising result there is that it wasn’t 100%. Innovation efforts come in a variety of forms: innovation and design labs, jobs-to-be-done analysis, corporate venturing, distributed employee experiments, open innovation, TRIZ, etc.

In this post, I want to focus on another type of innovation initiative: Collaborative Innovation. A good way to think about Collaborative Innovation is that it integrates social and crowdsourcing principles:

Collaborative innovation - social and crowdsourcing

 

A definition I use for this approach:

Collaborative Innovation is defined as activities organizations use to improve their rates of innovation and problem solving by more effectively leveraging the diverse ideas and insights of employees, customers and partners.

While it seems straightforward, Collaborative Innovation is actually a fairly sophisticated activity. People with a cursory understanding say all you need to do is: (i) stand up an ideas portal; (ii) let people post ideas; (iii) collect votes on those ideas; and (iv) pick the winners.

Unfortunately, that’s just plain wrong. I’ve seen too many cases where organizations launch idea portals, only to see them die off six months later. The practice of Collaborative Innovation is a rich realm, with solid results for those who apply it thoughtfully.

This post is a look at several key metrics that corporate innovation teams should focus on as they lead Collaborative Innovation programs. The metrics are segmented by the different phases of innovation:

  1. Sourcing
  2. Decisioning
  3. Acting

The metrics below rest on two key assumptions: use of an innovation management software platform; use of campaigns to target innovation efforts.

Sourcing

Sourcing refers to the generation of ideas, as well as eliciting others’ insights about an idea.

Phase objectives

  • Distinct, differentiated ideas
  • Ideas matching needs of customers (incl. internal customers)
  • Ideas matching the innovation appetite of the organization
  • Capturing the cognitive diversity of participants
  • Growing the culture of innovation

Metrics

Metric Description Why
Trend in unique logins Measure the ratio of logins/invited over time for multiple campaigns. Want to see a rise over time until reaching a steady state (~60%).
  • No logins, no ideas
  • Confirm that the credibility of program increasing
  • Demonstrate better targeting of relevant innovation topics
Trend in multiple logins Determine the number of people who log in to each campaign 3 times or more. Divide these multi-login people by the total number of people logging in to each campaign. Look for increasing ratios over time.
  • Returning to a campaign repeatedly is a measure of engagement
  • More repeat logins increases opportunities for collaboration
Ratio of ideators to unique logins Divide the number of people who post at least one idea by the number of unique logins. Want to see a rise over time until reaching a steady state (10 – 15%).
  • Ensure those with valuable ideas are being invited
  • Track whether the campaign questions are accessible to those invited
  • Confirm credibility of the program is increasing
Average number comments per idea Divide the number of comments by the number of ideas, per campaign. Target an average of 2 comments per idea.
  • Ideas are the start, but need others’ insights to evolve and grow
  • Track the collaboration culture of the organization, and of specific org units
  • Ensure participants understand that more than ideas are desired
Average number of replies per comment Divide the number of comment replies by the number of comments. Target an average of 0.5 replies per comment.
  • Innovation dialogues are healthy for both ideas and the organization’s innovation culture
  • Sharing of insights among employees is a second level objective, and this helps track that
Average number of votes per idea Divide the number of votes by the number of ideas, per campaign. Target an average of 3 votes per idea.
  • Participants can help identify ideas with greater potential
  • Ensure the voice of the community is captured, to complement the views of experts and campaign sponsors
Unique org units | departments | locations contributing Count the number of different org units, departments and/or locations with at least one person posting an idea, posting a comment or voting. This count needs to be considered against the number of org units, departments or locations invited.
  • Cognitive diversity is a key driver of value
  • Seek inputs from people who normally aren’t working closely together, to ensure different perspectives are brought into the campaign

Decisioning

Decisioning refers to identifying which ideas move forward for next steps. This phase is the bridge between getting a lot of different ideas, and determining which ones will be acted on.

Phase objectives

  • Identify ideas presenting enough possibility to warrant further review
  • Acknowledge value of community’s perspective
  • Timely assessments of ideas

Metrics

Metric Description Why
Ratio of ideas selected for further review Some number of ideas submitted for each campaign will be selected for the next round of review. Calculate the ratio of selected ideas to total ideas submitted. Watch how this ratio changes over time.
  • Track whether campaigns are generating the level of possibilities expected
  • Look for cases of being overly pessimistic on ideas’ possibilities (too-low or declining ratio over time)
Ratio of top 5 voted/commented ideas selected for further review Of the ideas that were the top 5 for either votes or number of unique commenters, track how many were selected for further review.
  • When the community is invited to comment and vote, they have a natural expectation that their interactions will be part of the decision calculus
  • Failure to regularly consider what the community coalesces around will reduce enthusiasm to participate
Percentage of initially reviewed ideas sent back for iteration & information Of the ideas that were selected for further assessment, track the number where the idea submitter (and team) are asked to iterate the idea and/or provide more information.
  • Ideas rarely have enough “meat” on their initial sourcing, and benefit from further development
  • Watch out for too conservative a mindset by those making decisions on ideas; are they too quick to say ‘no’ without seeking more information?
Time to complete decisions Measure the time between selection of ideas for further review and selection of ideas to move forward into the Acting phase. The time will vary by the level of risk attendant to a campaign.
  • Participants will have a reasonable expectation that promising ideas move forward; delays signal a lack of commitment
  • From the world of finance, the time value of money argues for moving sooner rather than later on ideas with value
Ratio of reviewed ideas that advance to Acting phase Divide the number of ideas selected to move into the Acting phase by the number of ideas selected for review. Watch this ratio over time.
  • Moving ideas forward to action is core to developing an innovation culture; ensure this key step is occurring as expected
  • Too-low or declining ratios indicate a breakdown in the innovation process
  • Ideas that move forward are critical for ensuring the credibility of the innovation effort

Acting

Acting refers to the activities to prove out an idea, develop it and prepare it for full launch. Or to learn why an idea won’t be feasible, ultimately.

Phase objectives

  • Develop deeper understanding for whether the idea passes the three jobs-to-be-done tests that determine market adoption
  • Optimize features that best deliver on the outcomes that the idea’s targeted beneficiaries have
  • Maximize the probability of success by eliminating ideas that just aren’t working

Metrics

Metric Description Why
Average number of experiments per idea Tally the total number of experiments for a “class” of selected ideas for Acting phase, calculate the average per idea.
  • Because of the inherent risk of trying something new, many ideas need different looks
  • Learning mentality to understand an idea’s strengths and weaknesses
  • Valuable for establishing a strong innovation culture for the organization
Time to make final decision on selected ideas Track the amount of time between the decision to put an idea into the Acting phase, and the decision whether to pursue the idea at scale.
  • While this process shouldn’t be rushed, it should be treated with appropriate diligence
  • Participants will expect final decisions; failure to do so undermines the program credibility
Ratio of ideas selected for full launch Divide the number of ideas selected for full launch by the number of ideas selected for the Acting phase. Watch how this ratio tracks over time.
  • The determinant of success for this phase is the number of ideas that make to full launch
  • Ideas in this phase passed muster during the prior Deciding phase; the percentage that make it to full launch should be high
Projected and realized value of ideas that have been moved to full launch Aggregate projected and realized value of the ideas that will be or have been put into full launch.
  • The bottom line rationale for the innovation program
  • Critical for establishing credibility of the program with senior executives

The above list is solid foundation of metrics to track for your Collaborative Innovation program. It’s not exhaustive. And there are likely elements for each phase that will vary for each organization.

But these are good for watching how your program is tracking. Behind each metric, there are techniques to enhance outcomes. The key is knowing where to look.

I’m @bhc3 on Twitter.

10 examples that show the value of cognitive diversity

In a previous post, the benefits of crowdsourcing were described as follows:

When trying to solve a challenge, what is the probability that any one person will have the best solution for it? It’s a simple mathematical reality: the odds of any single person providing the top answer are low.

How do we get around this? Partly by more participants; increased shots on goal. But even more important is diversity of thinking. People contributing based on their diverse cognitive toolkits

Cognitive diversity is a vital contributor to innovation. Bringing together people who have different expertise, heuristics and perspectives to solve problems has shown value time and again.  Professor Scott Page’s The Difference is a terrific book outlining the frameworks and value of cognitive diversity.

I thought it would be useful to collect some cases that highlight the value of cognitive diversity. The theories are powerful, but we respond strongly to specific examples. Collected below are ten cases of where cognitive diversity has shown its value. Feel free to use them for your own work as needed.


 

1. The mystery of our kidney tubules

Problem: Human kidneys have tubules. For years, they were assumed to be leftover, useless artifacts of our natural evolution. Hence physiologists assumed they had no purpose. Meaning their care and study could be safely ignored.

How diversity helped: One day, an engineer looked at the loops. He saw something different. He realized they were actually part of something called a countercurrent multiplier. These mechanisms concentrate liquids in a system. Suddenly, tubules were no longer evolution’s leftover junk. They were seen for what they were: vital parts of our kidneys’ operations.

An engineer with no special biological expertise saw things in a total different way.

Reference: Edward de Bono’s Lateral Thinking: An Introduction


 

2. Why this particular pathology in a drug discovery trial?

Problem: A pharmaceutical company’s R&D group was conducting a discovery study for a new drug. They couldn’t understand the toxicological significance of a particular observed pathology. They consulted with multiple experts in toxicology, but none could answer the question.

How diversity helped: The pharma firm then ran a crowdsourcing campaign, and within a few the mystery was solved. The solver? A woman with a PhD in protein crystallography using methods common in her field. An area unrelated to toxicology.

The woman with the PhD brought a completely different perspective to solving the problem.

Reference: Harvard Business School, et al study, The Value of Openness in Scientific Problem Solving (page 11 pdf)


 

3. Who has a higher probability to solve a problem?

Problem: People with expertise in a particular domain are challenged to provide workable solutions to tough problems. But these are the ones we regularly turn to for help.

How diversity helped: Researchers analyzed the outcomes of InnoCentive’s crowdsourcing challenges. What they found was surprising. For each challenge, they identified the domain of the problem. They then looked at the winning solvers. What were their domains of expertise? They found that people whose domain of expertise was six degrees away from the domain of the problem were three times likelier to solve the problem.

Getting people who are outside the domain of the problem provides higher odds of finding the best solution to a problem.

Reference: Harvard Business School, et al study, The Value of Openness in Scientific Problem Solving (page 24 pdf)


 

4. Stop new diamond fractures from happening

Problem: In the process of cutting diamonds, new fractures are introduced into the diamond. These fractures don’t show up until the diamond is in use. Manufacturers wanted to split diamonds along their natural fractures without creating new ones. But didn’t know how.

How diversity helped: This is a case of investigators consciously looking at different realms to find a solution, applying the TRIZ method. The solution came in an area quite different than diamonds: green peppers. Food companies need to split the peppers and remove their seeds. Peppers are placed in a chamber to which air pressure is increased significantly. The peppers shrink and fracture at the stem. Then the pressure is rapidly dropped causing them to burst at the weakest point and the seed pod to be ejected. A similar technique applied to diamond cutting resulted in the crystals splitting along their natural fracture lines with no additional damage.

This is an example of consciously seeking solutions outside the domain of the problem. Which is the crux of cognitive diversity.

Reference: QFD Institute, TRIZ workshop


 

5. Reducing surgery infections

Problem: Surgery exposes patients to infections, even with all the efforts to maintain a clean surgical environment. Reducing these infections would result in better outcomes for patients.

How diversity helped: 3M brought together people from three different areas: an expert in wound healing; an animal surgeon; and a specialist in theatrical makeup with expertise in adhering materials to skin. They developed a breakthrough product to prevent surgical infections.

While the wound specialist is consistent with what we’d expect, the makeup artist inclusion was quite different. She brought a particular expertise that turned out to be relevant to solving the problem.

Reference: Eric von Hippel, et al, Performance Assessment of the Lead User Idea Generation Process (pdf)


 

6. How to really help the homeless?

Problem: Homelessness has proven to be an intractable, chronic issue for cities. Municipalities spend money on treatment, overnight shelter, food. But the issue has vexed city officials everywhere.

How diversity helped: Sam Tsemberis is a psychologist. His training was to treat the mental health of people. He took a job to treat homeless people in the early 1990s. Not to solve homelessness, with its complex set of causes. Just to treat individuals, which fit his expertise. However, he saw things differently with the homeless. They operated in a set of complex circumstances. He felt the dominant thinking of experts in the homeless field was wrong, that homeless people are quite resourceful.

Lacking any prior experience in solving the homeless issue, Tsemberis assembled a team of people who also lacked any experience in addressing homelessness at scale. One was a recovering heroin addict. Another was a formerly homeless person. Another was a psychologist. And the last, Hilary Melton, was a poet and a survivor of incest.

Their solution? Giving permanent housing to the homeless. And it has proven remarkably successful thus far. Utah employed the method, and eliminated homelessness. Phoenix applied it and eliminated chronic homelessness among veterans.

Fresh eyes came up with a solution that challenged the dominant thinking in the field.

Reference: Washington Post, Meet the outsider who accidentally solved chronic homelessness


 

7. Predicting solar particle storms

Problem: When in space, astronauts are at risk from solar particle storms. Knowing when these storms are going to happen is important for their safety. However, NASA had spent 30 years unsuccessfully trying to figure out how to predict these storms.

How diversity helped: NASA cast a challenge on InnoCentive, exposing the problem to much broader types of expertise. And they received a solution much better than anything they had ever developed. A retired telecommunications engineer in New Hampshire saw the issue as one involved magnetic coupling between the sun and the Earth.

The solver was not in the space field. He had no connection to NASA. He was located far from NASA operations. His fresh perspective brought new insight to the problem.

Reference: Forbes India, The importance of diversity of thought for solving wicked problems


 

8. Who starts billion dollar companies?

Problem: What is the ‘look’ of success in start-ups? Certainly understanding these characteristics could go a long way toward identifying promising ventures.

How diversity helped: Shasta Ventures ran an analysis of 32 companies that are high flyers, including Uber, Twitter, Dropbox, Twitch, etc. They looked at the companies way back when they were raising their Series A. They found a few different traits. One that stands out:

Three-out-of-four of the companies in our survey were built and run by people who were doing it for the first time. They did not have a win under their belt or deep experience in their field, but were passionate about their product and had a unique perspective on how to serve their target customer. Having a fresh perspective is important in tackling a category as people with industry experience are often constrained by what is ‘not possible’ and why it ‘won’t work’.

Shasta notes here what others have found. People get stuck in knowing what they know. Innovation benefits from fresh perspectives.

Reference: Tod Francis, Shasta Ventures, What did Billion Dollar Companies Look Like at the Series A?


 

9. Stopping a key enzyme that powers the AIDS virus

Problem: For a decade, scientists have tried to understand the structure of an enzyme that is critical to reproduction of the AIDS virus. If they could finally figure out the structure, that would allow them to develop drugs to fight AIDS.

How diversity helped: Researchers added the AIDS reproduction enzyme structure to the online game FoldIt. In FoldIt, players try their hand at folding various proteins. Proteins are core building blocks, and they fold in very specific ways. Scientists have a hard time replicating the folding sequence; researchers started FoldIt to see how amateurs could do at replicating the folding.

In this case, insights about the enzyme’s folding were provided by FoldIt gamers (not scientific experts) within three weeks. Their strategies were instrumental in helping scientists to understand the enzyme, and initiate work to neutralize it.

Reference: Scientific American, Foldit Gamers Solve Riddle of HIV Enzyme within 3 Weeks


 

10. Auto-Tune to…ahem…enhance recordings

Problem: Music producers spent significant time putting together music from multiple takes. The process was laborious, but needed to ensure high quality recordings for release. Humans inevitably had inconsistencies, either in voice or instruments.

How diversity helped: Exxon engineer Andy Hildebrand had spent 18 years working in seismic data exploration. He developed a technique using a mathematical model called autocorrelation. His approach involved sending sound waves into the ground and then recording their reflections.

It turns out autocorrelation is also good for detecting pitch in music as well. Hildebrand, who had taken some music classes, recognized an opportunity to improve the quality of music. He introduced Auto-Tune to the industry. And the rest is history.

In this case, knowledge from one industry – oil exploration – was applied to an entirely different field – music. The cognitive diversity was a conscious application of expertise from one realm to another.

Reference: New Yorker Magazine, The Gerbil’s Revenge


 

While the most natural human tendency is to depend on those we know with expertise in a given, the preceding examples show the value of getting fresh perspectives. When everyone “knows what we know”, it’s time to expand your options.

I’m @bhc3 on Twitter.

Talk-n-Tweet | Collaborative Innovation at Scale

Previously, I’ve described Why Crowdsourcing Works. Crowdsourcing is a case where you get many people who don’t one another collaborating toward a defined outcome.Talk-n-Tweet Collaborative Innovation at ScaleTo reiterate the principle points about the value of crowdsourcing:

  • Diverse inputs drive superior solutions
  • Cognitive diversity requires spanning gaps in social networks

Simple enough, yet actually a rich field for work and analysis. To that end, I invite to two events happening simultaneously on Thursday 25 September 2014 (12 noon Eastern):

  • LeAnna Carey’s radio show (link)
  • Twitter Innochat (link)

I’ll be on the radio show talking with Lea Carey, Renee Hopkins and John Lewis. At the same time, the weekly #innochat will follow along with the radio program. It’s a unique chance to blend live conversation with online discussion. The main questions to be tackled will be:

  1. How important is it to get diverse people to contribute to innovation, vs. singular creatives to generate innovations?
    • Doesn’t Steve Jobs point to the primacy of singular genius?
    • What is the model for cognitive diversity to generate innovation outcomes?
  2. What differentiates sharing in large groups vs. small teams?
    • How much does familiarity mean trust?
    • How to handle different personalities that will intersect?
  3. In environments where employee skepticism reigns, how do you change attitudes to open up sharing?
    • What are the ways in which skepticism can creep in?
    • What is the #1 issue that must be addressed?
  4. What are motivations for employees to contribute to an innovation program?
    • How much does “what’s in it for me?” come into play?
    • What are the intrinsic and extrinsic motivations?
  5. What techniques help drive participation in crowdsourced innovation programs?
    • What influence do senior executives have?
    • What influence does peer participation have?
    • How can gamification drive greater participation?

As a reminder, the event time across time zones:

Thursday 25 September 2014
9 am Pacific
12 noon Eastern
6 pm Central European Time

I look forward to hearing your take on this issue.

Positive Deviance vs. Best Practices

Over time, I’ve seen people write disparagingly about the use of best practices in innovation. A recent example of this comes from Paul Martin in Say ‘Best Practice’ again, I dare you. As Paul notes:

For me the term ‘Best Practice’ conjures up images of a race toward uniform mediocrity, led by those who follow the crowd.

I understand his position. It’s a version of fast-following in a way, where people do not take a fresh look at an activity. They just follow what others are doing. You may share his passion for banishing ‘best practices’. Although be careful there. Some things really don’t need innovation if they’re not critical to a company’s differentiation and growth. For instance, if there are best practices for closing the accounting books on a quarterly basis, what issue of mediocrity is there?

The issue with best practices appears to be:

  • It’s done by an organization with which you compete
  • It propagates the status quo rather than break new ground
  • It doesn’t differentiate you, so why would you do just do what everyone else does?

There is a form of “best practices” that doesn’t violate the above. It’s called positive deviance.  Positive deviants are people who deviate from the norm and achieve superior results for an activity. They don’t have access to different resources than others. They just do things differently. A great example comes from Vietnam. The Save the Children organization wanted to address the pervasive malnourishment of children. In conducting field research, they came across families that had very healthy children. What were they doing differently? They fed their children the crabs and shrimp that were around their village. These protein-rich animals were available everywhere, but were disdained as trash, not worthy of consumption. Yet, these same disdainers had children who were malnourished.

Best practices indeed!

The point here is that positive deviance is a form of best practice that is:

  • Emergent
  • Based on experimentation
  • Consistent with internal community norms and context

While best practices may come from consultants and media coverage, positive deviance is more localized. And it’s often hidden. People aren’t openly talking about what they’re doing different. I liken this to William Gibson’s famous observation:

The future is already here. It’s just not evenly distributed.

Why not change that? In my post, Beyond Ideation: Four Fresh Ways to Generate Innovation, I talk about running campaigns for four different types of insight:

  1. Challenge orthodoxy
  2. What’s working (i.e. positive deviance)
  3. Problem-sourcing
  4. Trendscouting

These are different ways to use crowdsourcing beyond the normal ideation use case. Including finding your positive deviants.

I’m @bhc3 on Twitter, and I’m a Senior Consultant with HYPE Innovation.

 

Consultant-Led Innovation

Finally, remember Innovation won’t come from plans or people outside your company – it will be found in the people you already have inside who understand your company’s strengths and its vulnerabilities.

Steve Blank, Esade Business School Commencement Speech

I think Steve Blank – well-respected thinker on innovation and entrepreneurship – has hit a key point in his speech. A company’s employees are exactly the right people to enlist in innovation efforts. Here are the qualities that make employees uniquely qualified:

  • Deep knowledge about customers
  • Understanding why customers leave
  • Strong interest in the company’s future
  • Internal informal networks to move things forward
  • Vast reservoir of existing ideas and insight about future possibilities

Organizations are starting to take these amazing attributes seriously as they think about innovation. I’ve seen some forward-thinking organizations involving employees in the process of moving forward. But not all, certainly not a majority yet. For many senior executives, consultants are still the preferred means to think about and design the future.

Consulting’s impact on employees

In my history, I’ve seen how consulting has been used in organizations, as an employee, a consultant and an observer. I sort the types of consulting into three levels of a pyramid:

Consulting stack

 

The bottom level is consulting around specific functions.  Towers Watson, for instance, focuses on HR and financial issues. This consulting is helpful in bringing new information to the employees in these functions. Consultants here see a lot of what works, and what doesn’t. With both their expertise and experience, they make people smarter in the core supporting functions of organizations.

The middle level is more about enablement across different groups. This consulting brings new philosophies and frameworks to employees. It enhances people’s ability to think about addressing the key strategic factors that impact the business. My own work consulting on crowdsourced innovation is one such example. Consulting firm Deloitte offers Lean Six Sigma consulting. This level of the consulting pyramid works in concert with what motivates employees and helps them be better in their jobs.

The top level is best characterized as strategy consulting. These firms (e.g. McKinsey) look at a company, its assets and its markets, and design a future path for the organization. This can include new markets to go after, expanding in existing markets, new products to offer and new business models. This is what I call Consultant-Led Innovation. It is actually really valuable, but can also result in demoralizing employees.

Do outsiders really know better?

I’ll relate my own experience here, see if it resonates with you. When I was at Pay By Touch, the CEO decided to bring in a well-known consulting firm. Their mandate was to examine the payments market and determine how Pay By Touch should tackle it. After doing their research and executive interviews, they came up with a strategy for pricing, and new products for a biometric wallet. I remember attending their presentation to a packed room of employees. The room was packed because it felt like the CEO was going to go with their recommendations, and people wanted to know what the consultants were thinking.

After seeing the presentation, the collective employee reaction? Meh. It suffered from two issues. First, it wasn’t anything that hadn’t been part of the discussion internally. Second, it had some fundamental flaws that people who’d been working on the edge of the evolving payment industry would have known. Unsurprisingly, their recommendations went to the shelf without further action.

But that experience always left me with a bad taste. Why didn’t the CEO call on his own people to do this strategic thinking? He’d hired smart people who knew credit cards, ACH, point-of-sale systems, etc. People who joined the company to change the way we pay. But instead of leveraging that, he brought in the consultants.

Outside consultants aren’t going to know your business – customers, markets, competitors, products – better than your employees.

Diverse perspectives and who is motivated most

I’ve written previously about how valuable cognitive diversity is. And the strategy consultants do add to that cognitive diversity. They have smart people who bring strong analytic perspectives to your business. The problem arises when their perspectives, their voices are the dominant basis of thinking for the C-Suite.

It’s an in-your-face dismissal of your “most valuable asset”, your employees.

Dilbert - employees are our most important asset

Via Dilbert.com

As I’ve described previously, the key to successfully engaging employees and having them help lead the company’s innovation is for senior executives to set a course forward and ensure that innovation obstacles don’t stifle progress. Strategy consultants actually can be useful here, in that they can help an executive crystallize thinking about the future. After that, enlightened organizations know their employees have the smarts, knowledge and motivation to work out the future. And better than some strategy inserted from outside, when employees help determine the organization’s future, their enthusiasm and energy will be critical to achieving the outcomes expected.

Don’t rely on consultant-led innovation. Make sure you’re building through the amazing cognitive diversity and energy of your employees.

I’m @bhc3 on Twitter, and yes, I’m a Senior Consultant with HYPE Innovation.

 

Four categories of enterprise gamification

When you think of gamification, what are the common things that come to mind? Points, badges, leaderboards. These items are in the cognitive toolkit. But looking at the sheer variety of game mechanics, you can see that’s it’s a much broader field than that:

Game mechanics list

These 48 different mechanics (via SCVNGR and Badgeville) aren’t the complete list, but they provide a sense for the possibilities. However, the quantity of game mechanics makes its difficult to coherently analyze what, if any, means are relevant for an initiative. I found myself facing that in some work I was preparing for a client. My job-to-be-done? Provide an accessible way to understand the different gamification techniques relevant to crowdsourced innovation.

Having done some gamification work previously as a product manager, I called on that experience and various research on the topic. The following are the categories that made sense to me in the context of the enterprise environment:

Gamification categories

You might notice that I’ve couched the descriptive statement of each in the first person. That fits the approach to gamification, which is about motivations of individuals, what matters to each of us. Here’s a bit more about each.

Achievement: I work to attain an objective. This category calls on the desire many of us for mastery. To be well-versed and proficient in something. There is a sort of competition, but it’s against a standard, a benchmark. Not others.

Recognition: My contribution is acknowledged. Recognition is a form of feedback, an affirmation of one’s capabilities or position and a manifestation of status among peers. Recognition strikes me as the most powerful form of motivation.

Competition:  I compete for a limited number of awards. These gamification techniques appeal to the desire to compete. They can elevate people to moments of excellence in their participation (think of sports you’ve participated in previously). Powerful when used in an appropriate context.  But it’s a category that needs to be treated with care. Clumsy implementation of competition gamification can poison an initiative.

Valuables: I want to secure something of value. Valuables can address avoiding the loss of something or gaining something new. Valuables include the things you might expect: points-based rewards systems. But they can include countdowns to do something (I need to do something before I lose the opportunity), or competition to win funding for an idea, for example. Very useful, but Valuables need to be handled with care to avoid unintended consequences (e.g. high volumes of low value contributions; mindset that participation only happens when there’s a reward).

I’ve applied these different gamification categories to different innovation scenarios in my new post: The gamification framework for business innovation. I also look at the purpose of gamification there, some common misperceptions about it, and five key design principles.

I’m @bhc3 on Twitter, and I’m a Senior Consultant with HYPE Innovation.

How deep does crowdsourced problem-solving go?

On the recent post, Why crowdsourcing works, Michael Fruhling of BFS Innovations asked:

A couple of related questions: for most current crowd sourced problem solving endeavors, how “deep” does the problem solving routinely go? And do the results meaningfully change if incentives are introduced?

It was a good, thoughtful question. I answered it in the comments there, and wanted to make the answer into its own blog post, below.


Tim O'Reilly tweet on crowdsourcingThe depth of the problem-solving in a crowdsourcing endeavor is wholly dependent on:

  • The question that is asked
  • The engagement of the question sponsor
  • Who is asked to participate
  • Why people would want to participate

A few points on each of those factors.

Question that is asked

As you can imagine, the question impacts the depth of problem-solving. In-depth question = in-depth problem-solving. The more specific the question, the better the quality of people’s contributions. “Specific” here doesn’t mean asking a tactical, low-level question. Rather, it means clearly delineating what is sought in a way that people can relate to .

Engagement of the question sponsor

Crowdsourcing works best (obviously?) when solving a specific problem that someone has. People will respond to the question with different concepts and questions. The feedback of the question asker (aka “sponsor”) provides the back-n-forth that breaks through initial responses to build a deeper response.

Who is asked to participate

Getting cognitive diversity is the key, as described in the post. But also, you want people who have some connection and interest in the question. Think holistically about that. Upstream, downstream, adjacent fields. Problem-solving depth requires matching a question with people who will give a damn.

Why people would want to participate

The question of “why” is closely related to the preceding question of “who”. If a question’s answer potentially affects a person, there is built-in motivation to participate: steer things in a way that makes sense to you. This works well for internal employee-based crowdsourcing. However, there are certainly questions where the personal impact may be less acute. Other incentives come in to play. Engagement with a sponsor – with attendant acknowledgments, thank you’s, feedback – are great incentives. Opportunities to see an idea through is a powerful stimulant. And prizes have great power. Prizes work best when they establish an opportunity to see an idea one is passionate about become real (e.g. investment funds). Or when the question is not one that directly impacts you. In such a case, they are compensation for putting your brainpower to work problem-solving.

I’m @bhc3 on Twitter, and I’m a Senior Consultant with HYPE Innovation.

Why crowdsourcing works

CrowdCrowdsourcing is a method of solving problems through the distributed contributions of multiple people. It’s used to address tough problems that happen everyday. Ideas for new opportunities. Ways to solve problems. Uncovering an existing approach that addresses your need.

Time and again, crowdsourcing has been used successfully to solve challenges. But…why does it work? What’s the magic? What gives it an advantage over talking with your pals at work, or doing some brainstorming on your own? In a word: diversity. Cognitive diversity. Specifically these two principles:

  • Diverse inputs drive superior solutions
  • Cognitive diversity requires spanning gaps in social networks

These two principles work in tandem to deliver results.

Diverse inputs drive superior solutions

When trying to solve a challenge, what is the probability that any one person will have the best solution for it? It’s a simple mathematical reality: the odds of any single person providing the top answer are low.

How do we get around this? Partly by more participants; increased shots on goal. But even more important is diversity of thinking. People contributing based on their diverse cognitive toolkits:

Cognitive toolkit

As described by University of Michigan Professor Scott Page in The Difference, our cognitive toolkits consist of: different knowledge, perspectives and heuristics (problem-solving methods). Tapping into people’s cognitive toolkits brings fresh perspectives and novel approaches to solving a challenge. Indeed, a research study found that the probability of solving tough scientific challenges is three times higher if a person’s field of expertise is seven degrees outside the domain of the problem.

In another study, researchers analyzed the results of an online protein-folding game, Foldit.  Proteins fold themselves, but no one understands how they do so. This is particularly true of experts in the field of biochemistry. So the online game allows users to simulate it, with an eye towards better understanding the ways the proteins fold themselves. As reported by Andrew McAfee, the top players of Foldit were better than both computers and experts in the field at understanding the folding sequence. The surprising finding? None had taken chemistry beyond a high school course. It turns out spatial skills are more important to solve the problem than deep domain knowledge of proteins.

Those two examples provide real-world proof for the models and solution-seeking benefits of cognitive diversity described by Professor Page.

Solution landscape - cornstalksProblem solving can be thought of as building a solutions landscape, planted with different ideas. Each person achieves their local optimum, submitting the best idea they can for a given challenge based on their cognitive assets.

But here’s the rub: any one person’s idea is unlikely to be the best one that could be uncovered. This makes sense as both a probabilistic outcome, and based on our own experiences. However in aggregate, some ideas will stand out clearly from the rest. Cognitive diversity is the fertile ground where these best ideas will sprout.

In addition to being a source of novel ideas, cognitive diversity is incredibly valuable as feedback on others’ ideas. Ideas are improved as people contribute their distinct points of view. The initial idea is the seedling, and feedback provides the nutrients that allow it to grow.

Cognitive diversity requires spanning gaps in social networks

Cognitive diversity clearly has a significant positive effect on problem-solving. Generally when something has proven value to outcomes, companies adopt it as a key operating principle. Yet getting this diversity has not proven to be as easy and common as one might expect.

Why?

Strong weak no tiesBecause it’s dependent on human behavior. Left to our own devices, we tend to turn to our close connections for advice and feedback. These strong ties are the core of our day-in, day-out interactions.

But this natural human tendency to turn to our strong ties is why companies are challenged to leverage their cognitive diversity. University of Chicago Professor Ron Burt describes the issue as one of structural holes between nodes in a corporate social network in his paper, Structural Holes and Good Ideas (pdf). A structural hole is a gap between different groups in the organization. Information does not flow across structural holes.

In and of themselves, structural holes are not the problem. Rather, the issue is that when people operate primarily within their own node, their information sources are redundant. Over time, the people in the node know the same facts, develop the same assumptions and optimize to work together in harmony. Sort of like a silo of social ties.

Idea quality vs diversity of connectionsThe impact of this is a severe curtailment of fresh thinking, which impacts the quality of ideas. Professor Burt found empirical evidence for this in a study of Raytheon’s Supply Chain Group. 673 employees were characterized by their social network connections, plotting them on a spectrum from insular to diverse. These employees then provided one idea to improve supply chain management at Raytheon. Their ideas were then assessed by two senior executives.

The results? Employees with more diverse social connections provided higher quality ideas. To the right is a graph of the rated ideas, with a curve based on the average idea ratings versus the submitter’s level of network diversity. The curve shows that with each increase in the diversity of a person’s connections, the higher the value of their idea.

Employees with access to diverse sources of information provided better ideas.  Their access to nonredundant information allowed them to generate more novel, higher potential ideas. Inside organizations, there are employees who excel at making diverse connections across the organization. These people are the ones who will provide better ideas. They are brokers across the structural holes in social networks.

Professor Burt provides the key insight about these brokers:

People connected to groups beyond their own can expect to find themselves delivering valuable ideas, seeming to be gifted with creativity. This is not creativity born of genius; it is creativity as an import-export business. An idea mundane in one group can be a valuable insight in another.

An “import-export business”. Consider that for a moment. It’s a metaphor that well describes the key value of the brokers. They are exchange mechanisms for cognitive diversity. They are incredibly valuable to moving things forward inside organizations. But are organizations overly dependent on these super-connectors? Yes. Companies are leaving millions on the table by not enabling a more scalable, comprehensive and efficient means for exchanges of cognitive diversity.

Would if we could systematize what the most connected employees do?

Systematize the diverse connections

Crowdsourcing doesn’t eliminate the need for the super-connectors. They play a number of valuable roles inside organizations. But by crowdsourcing to solve problems, companies gain the following:

  • Deeper reach into the cognitive assets of all employees
  • Avoiding the strong ties trap of problem-solving
  • Faster surfacing of the best insights
  • Neutralize the biases that the super-connectors naturally have

As you consider ways to improve your decision-making and to foster greater cross-organizational collaboration, make crowdsourcing a key element of your strategic approach.

I’m @bhc3 on Twitter, and I’m a Senior Consultant with HYPE Innovation.

I’m joining HYPE to help companies get more value from innovation

HYPE Innovation logoIt is my pleasure and honor to announce that today I’ve joined HYPE Innovation as a full-time Senior Consultant. HYPE provides an enterprise innovation management software platform – HYPE Enterprise – used by large companies around the globe. In my consulting role, I’ll be working hands-on with customers across the phases of innovation maturity:

  • Beginning the journey toward a more collaborative innovation approach
  • Expanding usage as they gain experience and see results
  • Developing advanced ecosystems to drive next generation business models and products

This role is a change for me, moving from product to consulting.  But it’s one I embrace and I’m looking forward to. I’ve talked a lot here about the need to understand customers’ jobs-to-be-done. By working side-by-side with organizations, I’m going to have a deep understanding of their jobs-to-be-done for innovation and problem-solving. And even better, an opportunity to help make them successful.

HYPE is headquartered in Bonn, Germany, and I’ll be working from San Francisco. In this post, I want to cover two areas:

  1. State of the innovation management market
  2. What makes HYPE special

State of innovation management market

Enterprise traction

Over the past five years, I’ve worked with a number of customers and thought leaders in the innovation management space. People that are committed to and passionate about this. The first thing to know is that enterprises are actively exploring ways to be better at innovating. Many, IDC Predictions 2014many of the companies you know and buy products and services from. From its roots as online suggestions boxes, innovation management has become a full-fledged corporate discipline. In fact, research firm IDC forecasts that by the end of 2016, 60% of the Fortune 500 will be using social-enabled innovation management solutions. Which, if you follow the innovation diffusion lifecycle, means we’ll start to see the late majority taking it up.

Focused ideation

When I began working in the innovation field, the primary use case for innovation management software was to be an open suggestion box, equipped with social features (visibility, commenting, voting). Anytime someone had an idea, they had a place to post it. Unfortunately, that approach proved limited in engagement and value. Thus, that model has changed significantly the past few years. Organizations are now running campaigns that target narrow, specific topics. They are time-boxed events, which in a broad  sense is a form of game mechanic that spurs greater participation. Campaigns offer these advantages:

  • Ready recipients – campaign sponsors – to engage, elaborate and select ideas
  • Continuously refreshing the program and reason for people to participate
  • Address specific organization needs

Beyond innovation

Innovation – however you define it – continues to be a prominent use case. And with good reason, as CEOs rate it a top priority. There are multiple disciplines that address innovation: crowdsourcing, design thinking, TRIZ, incubators, lean startup, etc. Generally, innovation is considered creating something new which adds value.

But I’m seeing signs that crowdsourcing  is being applied in other ways outside the traditional view of innovation. Here are three examples:

  • Problem-solving: An example of this is cost-saving initiatives. People out on the front lines are seeing opportunities for improvement that are hidden from decision-makers in the headquarters.
  • Positive deviance: In every large organization, there are people who have figured out a different, better way to do something. Crowdsourcing helps find these people, and their novel approaches can be identified and shared.
  • Trend-spotting: With an army of employees out in the field, organizations have a ready way to canvas an area. People can post what they’re seeing, a valuable source of raw insight.

Idea development, evaluation and selection take center stage

When I talk with people not familiar with the innovation management field, I find their understanding often to be, “Oh, so it’s an idea collection app.” That is a necessary feature of course – no ideas, no innovation. But it’s a comical under-representation of what innovation management is. As Professor Tim Kastelle notes:

“Generating ideas is the easiest part. Most organisations already have enough ideas. The challenge for them is not generating more but implementing their existing ideas more effectively.”

As the market matures, companies are seeking ways to better advance the most promising ideas. This is where the puck’s heading.

Innovation becomes part of the purposeful collaboration canon

In the broader enterprise 2.0 social business market, the integration of ‘social’ into core business functions has emerged as the basis of value. This is a change from the movement’s early roots. Constellation Research VP Alan Lepofsky nicely illustrates this evolution to Generation 3 as follows:

Alan Lepofsky socbiz generations

Innovation is a prominent use case that benefits from the application of social and collaboration. You can see more in Alan’s Slideshare presentation on innovation and purposeful collaboration.

What makes HYPE special

From my experience in the industry and in my meetings with the team, three things about HYPE stand out in the innovation management field

  1. Singular focus on customers’ innovation jobs-to-be-done
  2. Market leadership
  3. Demonstrated customer excellence

Singular focus on customers’ innovation jobs-to-be-done

HYPE has over a decade of experience in the innovation market. It’s roots were in the R&D world, with a deep emphasis on how to maximize the value of ideas. In industry parlance, this is sometimes called the “back-end” of innovation. It’s a sophisticated activity with variance in process for each organization. Through the years of working with customers, HYPE has become adept at handling this phase of innovation. I know it’s not easy – I did some initial product work myself in this realm previously. Success here hinges on understanding what customers seek to achieve, and acting on it.

With the rise of social business and increased interest in better utilizing the collective smarts of employees, HYPE moved forward to the “front-end” of innovation. Powerful features include campaign development, participation management, idea surfacing, collaboration and evaluation. With this investment of time and effort, HYPE offers the most functional full-cycle innovation process in the industry:

HYPE - full lifecycle innovation process

With deep expertise built throughout the platform, HYPE is well-positioned to address organizations’ innovation jobs-to-be-done.

Market leadership

Forrester Wave - Innovation Management 3Q13 - rotatedIn the past few years, HYPE has increased its presence in the market, following an investment from ViewPoint Capital Partners. From its roots in Germany, the company has become the leader in Europe. It is now seeing good growth in broader EMEA, the United States and South America.

Recently, Forrester published its Wave for Innovation Management Tools. Analyst Chip Gliedman reviewed 14 of the most significant vendors in the space.  The analysis included:

  • Innovation lifecycle: the components of a complete cycle
  • CIO concerns: governance, security, architecture, integration
  • Product roadmap
  • Management team
  • Vision

HYPE achieved the top overall ranking, the coveted “top right” position of the Wave.

Demonstrated customer excellence

HYPE Customers

HYPE has over 170 customers from around the world. Consistent with my experience, the industries are varied. Some representative names are shown to the left. This is something one sees when it comes to innovation: everyone does it. There’s really not a specific sector that pursues innovation and problem-solving more than others.

HYPE has a number of long-term relationships. And it’s fair to say that once you’re a client of HYPE, you’ll be happy, satisfied and get results. Annual churn is less than 4%. On a monthly basis, that’s roughly 0.3%, at the magic level for enterprise software companies.

That level of customer satisfaction doesn’t “just happen”. Rather, it comes from being dedicated to customers’ success and working to make them successful at their jobs-to-be-done.

That HYPE logo?

Finally, about the HYPE logo. I actually do not yet know the background on it. But take a look at it. See some similarities to different hand gestures?

HYPE logo meaning

I’m looking forward to joining the team.

I’m @bhc3 on Twitter.

Should BP crowdsource solutions to solve the Gulf oil spill?

Clifford Krauss of the New York Times reports on BP’s latest effort to cap the oil leak, called “top kill”. He notes the following:

The consequences for BP are profound: A successful capping of the leaking well could finally begin to mend the company’s brittle image after weeks of failed efforts, and perhaps limit the damage to wildlife and marine life from reaching catastrophic levels.

A failure could mean several months more of leaking oil, devastating economic and environmental impacts across the gulf region, and mounting financial liabilities for the company. BP has already spent an estimated $760 million in fighting the spill, and two relief wells it is drilling as a last resort to seal the well may not be completed until August.

Let’s hope for the best. Given the challenges of the previous efforts, it sounds like it will take a monumental effort to stop the leaking well.

Which begs a question…should BP be tapping a larger set of minds to help solve the leaking well? Can they crowdsource a solution?

In a way, they’re already doing it. Sort of. You can call an idea hotline to suggest ways to stop the oil. They even have the number posted on their home page.

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But why not take it a step further? A formal crowdsourcing effort. I’ve heard that the folks at Innocentive asked this on an NPR report. Another vendor also pitched its idea management software, however BP didn’t bite. Spigit hasn’t pitched BP, but would certainly be willing to help.

There are some very good reasons to open it more publicly, and cast a call across the globe for ideas:

  • Diversity of ideas increases the odds of finding something that will be useful
  • While no one idea may solve it, visibility (as opposed to private phone calls) increases the odds of finding parts of ideas that lead to viable solutions
  • The brain power of enthusiastic participants across the globe is a good match to BP’s in-house experts
  • Potentially a good PR move, as the company demonstrates that it’s leaving no stone unturned to solve the leak

Crowdsourcing has proven its value in other endeavors, such as products, government services, technical problems and marketing. Surely it could do well here. But what might hold BP back? Three reasons:

  1. Little previous experience with crowdsourcing
  2. Deep technical domain experience is required
  3. Site becomes a place for public criticism

Are they valid? Let’s see.

Little Previous Crowdsourcing Experience

If a company hasn’t previously mastered open innovation and crowdsourcing, a crisis is a hell of a time to give it a go. This is far from comprehensive, but I did find a couple examples of BP’s forways in the world of crowdsouring and open innovation.

Headshift wrote up a case study about BP’s Beacon Awards. The internal awards recognize innovative marketing initiatives, and BP created a site for employees to submit ideas and vote on them. This example has a couple elements of note:

  • It’s an internal effort, where “mistakes” can be made as the company gets comfortable with the process of crowdsourcing
  • It was for marketing ideas in a time of relative calm, not time-is-ticking ideas during a crisis

BP also touts its open innovation efforts. Open innovation means working with others outside your organization to come up with new ways of tackling problems. In  a post on its website, it discusses its work with partners:

The need to work with others to solve tricky problems has most likely been around since humans learned to communicate, pooling their skills to achieve a desired mutual goal. In today’s world, collaboration between partner organisations has become highly sophisticated, particularly so in the energy industry where new challenges abound, be those in security of supply, cleaner energy sources, or the bringing together of different scientific and engineering disciplines to focus on a common problem.

Certainly the oil spill qualifies as a tricky problem.

So BP has experience in crowdsourcing internally on marketing ideas, and in open innovation with academia and industry partners. Not too shabby, and that argues for their having a favorable disposition toward crowdsourcing.

Deep Technical Domain Expertise Is Required

OK, I’ll admit. I have no idea how I’d stop the oil leak. Maybe I could come up with an idea as I give my kids a bath (“so you take the rubber duckie, and move it over the drain…”).

The BP oil leak occurred deep underwater, an area subject to different conditions than oil companies have had to deal with. BP is sparing no level of expertise to fix the issue, reports the New York Times:

Several veterans of that operation are orchestrating technicians in the Gulf of Mexico. To lead the effort, BP has brought in Mark Mazzella, its top well-control expert, who was mentored by Bobby Joe Cudd, a legendary Oklahoma well firefighter.

Didn’t even know one could be a legendary well firefighter. But the challenges of doing this in the Gulf are different. Popular Mechanics has a scorecard of each previous effort by BP to stop the leaking well. Do you remember one effort called “The Straw”? It is capturing a part of the oil, siphoning it to a surface ship. But it’s not without its risks:

The real gamble was in the original insertion—the damaged riser’s structural integrity is unknown, and any prodding could have worsened the spill, or prevented any hope of other riser- or BOP-related fixes.

Given the highly technical nature of these efforts, and the myriad complexities, does it make sense to crowdsource? I’d say it does, in that a proposed idea need not satisfy all elements of risk mitigation and possible complications. That puts too high a burden on idea submitters. Start with the idea, let the domain experts evaluate its feasibility.

Keep in  mind that people outside a company can solve technical challenges. Jeff Howe wrote in Wired about the guy who tinkers in a one-bedroom apartment above an auto body shop. This guy solved a vexing problem for Colgate involving the insertion of fluoride powder into a toothpaste tube.

Site Becomes a Place for Public Criticism

If BP were to set up a public site that allows anyone to participate, I can guarantee that some percentage of ideas and comments will be devoted to excoriating BP. In fact, it wouldn’t surprise me if much of it became that. A free-for-all that has nothing to do with solving the oil well leak.

A public forum receiving press attention during an extreme crisis presents angry individuals with a too-tempting target to make mischief. BP could spend more time deleting or responding to comments than getting much from it. The anger is too strong, too visceral on the part of many across the world.

Charlene Li talks about meeting criticism head-on in her book Open Leadership. Perhaps one way BP could handle this would be to set up a companion forum where criticism could be moved to. Keep an idea site dedicated to just that…ideas.

But I can see how BP understandably would not want to deal with such a site, as it potentially becomes a major PR pain on top of the existing maelstrom.

This reason strikes me as the one most likely to keep BP away from a crowdsourcing initiative to complement their other efforts. What do you think? Should BP be crowdsourcing solutions to the Gulf oil spill?

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My Ten Favorite Tweets – Week Ending 043010

From the home office on the Gulf Coast, where I just have to note that you never hear about “sunshine spills” or “wind slicks”.

#1: RT @mattgaston If foursquare gets it right, they could go big. Very big! NYTimes: Linking Customer Loyalty With Social Networking http://nyti.ms/cfzclt

#2: RT @TechCrunch The Huffington Post Starts To Give Out Badges To Readers http://tcrn.ch/bQopLB > Just getting started…

#3: WSJ has its own Foursquare badges http://bit.ly/a6EjmX by @mathewi > WSJ also provides news items for locations

#4: RT @tacanderson Cool webcast today by HP: An economist’s view of crowdsourcing http://j.mp/czYrSY

#5: Getting the Most from Your Crowdsourcing Initiative (via Spigit blog) http://bit.ly/cugk0z #innovation

#6: RT @jacobm spigit announces its innovation summit, should be a great one http://bit.ly/csHfNE cc @bhc3

#7: 42: Why innovation is a hard sell http://bit.ly/b83pWs by @deb_lavoy > #Innovation is problem-solving, not ideation

#8: RT @Renee_Innosight Yes! RT @MARTYneumeier: The secret to collaboration is finding a rhythm that alternates between team creativity and individual creativity.

#9: NBC’s Parenthood cracks me up. Love it. Until it inevitably jumps the shark somewhere along the line with a “very special” Parenthood.

#10: About to start Stuart Hall Miller’s Mile with my son — at Warming Hut Park Store & Cafe http://gowal.la/c/E4ah

Six Factors in Emergent Innovation

In discussing employee-driven innovation, having a technology platform to deliver on objectives is a key part of a company’s strategy. Hard to get everyone tuned in when you rely only on email and conversations with your cubicle mates. But that’s just one factor. There are many other considerations for companies seeking to vault to the top of their industries through greater innovation.

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One set of characteristics are what I term factors of “emergent” innovation. I use emergent here in the sense of conditions which let good ideas find their level inside a company, regardless of source. Think of this as an alternative to R&D-led innovation, or innovations decided solely in the executive suite and cast down for implementation by the troops.

Of course, there are more than six factors to emergent innovation. For instance, the actual process of turning someone’s idea into an innovation project has several factors of its own. But these six are a good start.

This post is long. The links below will take you directly to a specific section.

  1. Healthy use of doubt
  2. Rough alternatives
  3. Experiments
  4. Resource margin
  5. Positive deviants
  6. Diversity of viewpoints

So what are these factors?

Healthy Use of Doubt

In creative thought, doubt is good. Doubt produces creative efficiency.

David Kord Murray, Borrowing Brilliance (page 167)

Credit: Eleaf

Doubt is a word pregnant with different connotations. It can have a strong meaning of, “I don’t believe you.” In terms of working on innovations, that meaning has the potential to undermine collaborative work.

But in the quote above from David Kord Murray, it has a more productive meaning. “Doubt” refers to continually challenging existing practices to determine how things can be done better. These may be company practices, or your own. As Murray explains it, without doubt you are implicitly accepting that current practices are the best they can be. You get locked in on one way to do things. Yet, as has been documented, the rate of change in global markets is accelerating. Locking into the one best way to do things becomes a recipe for a declining business.

In his book Borrowing Brilliance, Murray relates that Albert Einstein had an apathetic relationship to his first Theory of Relativity. Why? He maintained a healthy use of doubt toward it, knowing there was more to be done. He didn’t settle on his first theory, and eventually came up with his better second Theory of Relativity.

One note about the term “healthy” here. Doubt is a mental framework in which you look at things and consider how they can be better. Doubt should not become a systemic condition that causes people to stop efforts on current projects, as in “we’re doing this wrong, so why bother”. It’d be wrong to assume everything a company does is poor and must be scrapped. Or that every individual opinion must be acted upon.

Rough Alternatives

A Stanford study investigating quick executive decision making noted that fast decision makers (a necessary component of agility) operated as though they had a rotating radar antenna; constantly refreshing context and identifying alternative paths of action. Their speed came from having rough alternatives at hand if conditions changed.

Christopher Meyer, LinkedIn discussion

Intuitively, this concept makes a lot of sense. While it may seem obvious, it’s not for those working in the trenches. The general approach is selecting the course of action, and execute like hell. Go big or go home.

And that “execution” mentality is right. It is appropriate to aggressively execute on an initiative once a decision has been made. That’s how companies get ahead.

Meyer’s comment from the LinkedIn discussion above gets at an aspect of company strategy that’s growing in importance. Be ready to pull the trigger on an alternative when conditions change. Which means having a set of rough alternatives ready.

The notion of “doubt” in the previous section is useful here. Again, not “doubt” in the sense of undermining efforts to see a particular course of action through to success. Rather, maintain a healthy perspective that even as you’re working on one way to do something, there likely are better ways still, undiscovered.

Maintaining a set of alternatives is applicable to all parts of an organization. Senior level executives, mid-level managers, project leaders and anyone doing their job. I’d argue that people in the trenches are closer to the reality of how an initiative is faring, and have a sense of rough alternatives. Enable these individuals to share what they’re seeing.

Experiments

The cost of experimentation is now the same or less than the cost of analysis. You can get more value for time, more value for dollar, more value for euro, by doing a quick experiment than from doing a sophisticated analysis. In fact, your quick experiment can make your sophisticated analysis better.

Michael Schrage, Research Fellow at MIT Center for Digital Business

Credit: jurvetson

Once a proposed idea has been identified as having merit, it needs to be put through its paces. This historically was challenging, due to constraints on building out prototypes or simulating new features. But the world has gotten more digital, and as such much more can be tested than historically has been possible. In a Wall Street Journal article by the quoted author above, Michael Schrage, Google is noted for its ongoing experiments with search results. This isn’t surprising of course. Google exists in a digital world.

But what about non-digital firms? Wal-Mart regularly experiments with signage, displays and shelf layouts to gauge the effect of different ideas. Tesco experiments with different factors that determine when another checkout lane should be opened.

Even in the realm of healthcare, experiments are being conducted. Not drug trials, but improvements to processes. Kaiser Permanente operates The Sidney R. Garfield Health Care Innovation Center. The Center “brings together technology, architecture, nurses, doctors and patients with human-centered design thinking and low-fidelity prototyping and design to brainstorm and test tools and programs for patient-centered care in a mock hospital, clinic, office or home environment.”

Experiments are a data-based method of testing potential innovations. But they differ from current practice for many corporations, which to rely less on your own experiments and ore on the advice of well-paid consultants. Why? Dan Ariely observes the following in Harvard Business Review:

There’s the false sense of security that heeding experts provides. When we pay consultants, we get an answer from them and not a list of experiments to conduct. We tend to value answers over questions because answers allow us to take action, while questions mean that we need to keep thinking.

Emergent innovation is better served by internally managed experiments, not advice from external experts.

Resource Margin

The concept of resource margin is a really good one. I came across this nice description:

No matter how I see it, agility to me is much to do with introducing margin. What I mean by this is how much the necessary margin to have within your processes, knowledge base and human resources to allow for changes. You may have a norm for people to continuously question their processes and products, “Only the paranoid survives”, but if they have no room/margin for change, it’s hard to get them to react with agility.

Jeevandra Sivarajah, LinkedIn discussion

Credit: See MidTN.com (aka Brent)

This observation just makes sense. In a world of increased busyness, employees need that bit of flex in their schedules to explore improvements to something: processes, products, customer service, etc.

Google, of course, is famous for its 20% time. Employees have the freedom to set aside their daily work and invest some cycles on exploring something new. 3M has long had a similar policy.

Now for companies, I can see the math here…employees only working 4/5 of their time on core daily tasks needed. Means you need to hire 5/4 number of employees, or an extra 25% headcount. Economy is still wobbly, hmmm…

The reality is that innovation is a core part of companies’ growth. Which company doesn’t see that? Sure, there are firms devoted to be fast followers rather than innovators. But most companies thrive-or-suffer based on their innovation performance. Note, innovation is not just slick new products.

Employees should have innovation as part of their core jobs. In other words, sure they need to file their TPS Reports and process N number of transactions. But part of their day includes thinking about improvements and bigger ideas, socializing these ideas, researching them, figuring out experiments for them, etc.

Alternatively, companies can set up special ideation events. Maybe employees don’t have the time or wherewithal to pursue an innovation all the way through. But others in a company will, and they will benefit from hearing the crowdsourced ideas of employees.

Resource margin plays an important role in emergent innovation.

Positive Deviants

I really love the juxtaposition of “positive” and “deviants”. Two words that are often at odds. But they work well together. What is a positive deviant?

This initiative is an example of “positive deviance,” an approach to behavioral and social change. Instead of imposing solutions from without, the method identifies outliers in a community who, despite having no special advantages, are doing exceptionally well.

Rebecca Tuhus-Dubrow, The power of positive deviants

Credit: asw909

As someone who has worked in large organizations, the observation that there are people with different, smart approaches is one I wholeheartedly endorse. Seen it plenty of times, from my work with headquarters, in-store and warehouse personnel at Hecht’s Department Store to my days of investment banking with Bank of America.

Here’s a good example. The sales crew at Spigit do a good amount of outbound marketing to prospective customers. As anyone who has used email for this knows, it’s hard to figure out what works in terms of email subject lines and email body. One of our sales guys came up with a totally different subject line, certainly different than anything I would have come up with. And it works. The open rate is much better for his subject line. No paid consultants needed – someone figured out a way that works.

What’s particularly appealing here is that these innovations arise from the everyday work and problem-solving people do. This is the benefit of tapping this amazing resource: employees’ ingenuity and problem solving acumen.

Leveraging the “found” solutions inside an organization is part of emergent innovation.

Diversity of Viewpoints

Ideas benefit from a diversity of viewpoints. Professor Ron Burt studied something called “structural holes”, and employees who broker them. Think of structural holes as gaps between groups of people in an organization. These gaps prevent people from accessing one another’s feedback, perspective and expertise.

People with connections across structural holes have early access to diverse, often contradictory, information and interpretations which gives them a competitive advantage in seeing and developing good ideas. People connected to groups beyond their own can expect to find themselves delivering valuable ideas, seeming to be gifted with creativity. This is not creativity born of genius. It is creativity as an import-export business.

Professor Ron Burt, Structural Holes and Good Ideas (pdf)

Credit: Marco Bellucci

Professor Burt’s empirical analysis identified exposure to a greater range of perspectives as a key element of generating higher quality ideas. I particularly like this part of his observation: “diverse, often contradictory, information and interpretations”.

That’s right. Disagreeing perspectives are good for innovation. Not a chorus of “amens”. Contradictory knowledge and perspectives as productive innovation friction.

For companies, these collaborative networks are a form of crowdsourcing. Sourcing ideas from around the organization, and more importantly letting others with interest provide feedback and ideas for refinement.

Emergent innovation benefits significantly from…emergent perspectives gathered from around the organization. Note that email and over-the-cubicle-wall conversations are limiting factors on innovation. Hard to get a diversity of perspectives with those as your only sharing modes.

For companies seeking to accelerate innovation, those six characteristics are a solid beginning. What do you think?

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