The 93% Rule: How to Predict Unintended Consequences

The 93% Rule: How to Predict Unintended Consequences

Unintended consequences often catch us off guard despite their predictability.  The moment they occur, we gasp in shock, shake our heads, and look at each other in wide-eyed horror at this thing that just happened that we could never ever ever have anticipated. 

Yet, when (if) we do an After-Action Review, we often realize that these consequences were not entirely unforeseeable. In fact, had we anticipated them, we might have made different decisions.

The Unintended Consequences of Spreadsheets

In 1800 BCE, ancient Babylonians started recording data by scratching grids and columns onto clay tablets, and the spreadsheet was born.  Over the millennia, we went from clay tablets to papyrus to parchment and then paper. 

Fast forward to 1963 when R. Brian Walsh of Marquette University ported the Business Computer Language (BCL) program to an IBM 7040, and electronic spreadsheets became a reality.  The introduction of VisiCalc by Apple in 1979 revolutionized spreadsheet capabilities, followed by Lotus 123 and Microsoft Excel. Today, spreadsheets are ubiquitous in education, business operations, financial markets, budgeting, and even personal inventories.

Unintended yet predictable consequences

While spreadsheets have undoubtedly enhanced efficiency and accuracy compared to traditional methods like clay tablets or hand-drawn tables on parchment, their ease of use has inadvertently led to complacency.

We stopped engaging in a multi-millennial habit of discussing, debating, and deciding before making a spreadsheet. We started flippantly asking people to create spreadsheets and providing little, if any, guidance because “it’s easy to make changes and run scenarios.”

This shift resulted in a reliance on automated models and a lack of shared assumptions or analytical rigor in decision-making processes.

Of course, these behaviors were never intended.  They were, however, very predictable.

93% of Human Behavior is predictable.

Research spanning disciplines as varied as network scientists, anthropology, neuropsychology, and paleontology shines a light on how truly predictable we are.

Here are some examples:

Emotions before Reason: Ask someone if they make decisions based on their motivations, aspirations, and fears and use data to justify the decisions, and they’ll tell you no. Ask them the last time someone else made a decision that “made no sense,” and you’ll listen to a long list of examples.

Small gains now are better than big gains later: Thoughtfully planning before using solutions like spreadsheets, word processing, email, and instant messaging could save us time at work and help us get home 30 minutes earlier or work a few hours less on the weekend.  But saving a few seconds now by brain-dumping into Word, setting up a “flexible” spreadsheet, and firing off a text feels much better.

Confidence > Realism: We’ve all been in meetings where the loudest voice or the most senior person’s opinion carried the day.  As we follow their lead, we ignore signs that we’re wrong and explain away unexpected and foreboding outcomes until we either wake up to our mistakes or adjust to our new circumstances.

Predict the 93%. Create for the 7%

Acknowledging the predictability of human behavior is not an endorsement of stereotypes but a recognition of our innate cognitive processes. By incorporating this understanding into design, innovation, and decision-making processes, we better anticipate potential outcomes and mitigate unintended consequences.

While 93% of human behavior may follow predictable patterns rooted in evolutionary instincts, focusing on the remaining 7% allows for the exploration of unique behaviors and novel solutions.  By embracing both aspects of human nature, we can navigate challenges more effectively and anticipate a broader range of outcomes in our endeavors, leading to informed decision-making and value creation.

Now, if I could only get Excel to stop auto-converting numbers into date/time format.

New Data Shows that Good Intentions Pave the Way to Innovation Hell

New Data Shows that Good Intentions Pave the Way to Innovation Hell

The road to hell is paved with good intentions, and nowhere is that more true than in innovation.

That’s one of the insights I took away from InnoLead’s Q1 report on corporate innovation priorities.  The report is an eye-opening look at the impact of AI on corporate innovation as experienced by corporate entrepreneurs themselves.  But before deep diving into that topic, the report’s authors shared intriguing data about member companies’ innovation structure, leadership engagement, organizational connections, and results. Nestled amongst the charts were several that, when taken together, got my Spidey senses tingling.

61.0% of innovation teams are “directly under a high-visibility leader with a broad company focus.”

This is great because innovation needs senior leaders’ support and active engagement to survive, let alone survive for long enough to produce meaningful results. Add this to the fact that 45% of senior leadership teams frequently discuss the “progress and value of the innovation program,” and all signs point to innovation as a strategic priority.

But (you knew there was a but, didn’t you)…

If “broad company focus” means “no P&L responsibility,” we have a problem.  In every for-profit company I’ve worked for and with, people with P&L responsibility have greater power, influence, and access to resources than people without a P&L.  This division may not feel fair, but it makes sense – the people who bring in profit and revenue will always be more influential than people who represent “cost centers.”

You can see the impact of P&L owners who are, understandably, focused entirely on delivering short-term results throughout the report – 75% of companies have shifted their focus more towards near-term priorities, and 61% shifted their innovation portfolio away from Horizon 3 (also known as radical, breakthrough, or disruptive innovation).

As for all those discussions, it’d be great if they focused on walking the talk of innovation. But suppose it’s only innovation platitudes or, worse, questioning innovation’s ROI. That doesn’t bode well for the “high-visibility leader with broad company focus,” the innovation team, or the company’s culture.

71.2% of innovation teams’ customers or business partners are unaware of the team’s existence, don’t engage, or engage only occasionally.

Welcome to Innovation Island!  Where the cool people work on cool things in cool offices while all you drones slave away doing the same thing you’ve always done and making the money that pays for the cool people to do cool things in their cool offices.

I’m sure this isn’t the message the innovation team intends to send, but it’s the one received by most organizations.

When arguing for Innovation Island, managers often point to the organizational antibodies likely to swarm and kill H3/radical/breakthrough innovation and even some H2/adjacent innovations.  They’re right, and those innovations must be “protected.” But not every innovation needs protection.  H2 and certainly H1 innovations, where most portfolios are now, should be shared with the core business because the core business will eventually run them.

The bigger problem, in my opinion, is that innovation teams don’t seem to be reaching out to others in the organization.  Like the P&L owners they report to, people in the core business are busy running the business and generating revenue.  Very few have the time or energy to seek out the innovation team to discuss and explore innovation.  Companies that want to build a culture of innovation need to turn their innovators into evangelists, not residents of an island connected to the mainland by a single drawbridge.

23.4% of innovation teams are considered outsiders or actively undermined by other functions and business units.

This may not sound bad, but add to it the 55.0% that are “somewhat integrated with occasional collaboration” with other departments and business units, and you may be tempted to believe that Innovation Island would be wise to invest in a surface-to-air missile defense system.

Sadly, this perception of the innovation team as “The Others” isn’t surprising when considering that the most important tactic for building a relationship between innovation and the functions or business units is already having strong relationships and interpersonal trust (75.3% of respondents).  The least effective (4.7% of respondents) is “writing down shared objectives and expectations.”  So, no, the email you sent is not enough to win friends and influence people.

Bottom line

Well-intended companies appoint a senior executive to lead the innovation team because they’ve been told that doing so is powerful proof that innovation is a strategic priority.  They hire outsiders to inject new thinking into the organization because they know that “what got you here won’t get you there.”  They cordon the team and their work off from the rest of the organization because they read that separation is essential to preserving innovation’s disruptive nature. 

But if the senior executive doesn’t have the organizational power and influence that comes with P&L ownership, the team doesn’t have strong personal relationships with others in the business, and other functions and business units don’t know the team exists or how to interact with it, innovation will go nowhere.

But that’s better than where it could go.

The Surprising Secret Behind Customer Research Revelations

The Surprising Secret Behind Customer Research Revelations

Most customer research efforts waste time and money because they don’t produce insights that fuel innovation.  Well-meaning businesspeople say they want to “learn what customers want,” yet they ask questions better suited to confirming their own ideas or settling internal debates.  Meanwhile, eager consumers dutifully provide answers despite the nagging belief that they’re being asked the wrong questions.  

It doesn’t have to be this way.  In fact, you can get profound revelations into consumers’ psyche, motivations, and behaviors if you do one thing – channel your inner Elmo.

First, a confession

I find Elmo deeply annoying.  I grew up watching Sesame Street, and I still get an astounding amount of joy watching Big Bird, Mr. Snuffleupagus, Cookie Monster, Bert and Ernie, Grover, and Oscar the Grouch (especially when Oscar channels his inner Taylor Swift).

Elmo moved to Sesame Street in 1985, and it hasn’t been the same since.  He’s designed to reflect the mental, emotional, and intellectual capabilities of a 3.5-year-old, and, in that aspect, his creators were wildly successful.   I fully acknowledge that Elmo plays a vital role in the mission of Sesame Street and that people of all ages love Elmo. But Elmo makes my ears bleed, and I will never be ok with the fact that Elmo refers to himself in the third person.

This is why my recommendation to channel your inner Elmo is shocking and extremely serious.

Next, an explanation

On Monday, Elmo posted on X (yes, the minimum age limit is 13, but his mom and dad help him run the account, so it’s apparently okay), “Elmo is just checking in!  How is everybody doing?”

180 million views, 120,000 likes, and 13,000 comments later, it was clear that no one was okay.

And lest you think this was Gen Z trauma dumping on their ol’ pal Elmo, Dionne Warwick, T-Pain, and Today Show anchor Craig Melvin responded with their struggles.  Comments ranged from, “Mondays are hard” to “Elmo I’m gonna be real I am at my f—ing limit,’ to “Elmo each day the abyss we stare into grows a unique horror. one that was previously unfathomable in nature. our inevitable doom which once accelerated in years, or months, now accelerates in hours, even minutes. however I did have a good grapefruit earlier, thank you for asking.”

Wow.  Thank goodness for that grapefruit.

There are a lot of theories about why Elmo’s post touched a nerve – it’s January and we’re tired, it’s easier to share our struggles online than in person, or we still enjoy “that wholesome and sincere bond from childhood that makes us want to share.”

I’m sure all those are true, and I think it’s something more, something we can all learn and do.

Now, the secret

Elmo may be a red, hairy, 3.5-year-old muppet. Still, he nailed the behaviors required to get people to open up and share their inner worlds – the very thoughts, beliefs, and motivations that enable others to create and offer impactful and innovative solutions.

Here’s what Elmo did (and you should, too):

  1. Show that you’re genuinely curious:  Elmo didn’t open with the standard “How are you?” that if answered with anything other than the socially acceptable “Fine,” results in awkward silence and inner panic. Elmo opened by declaring his intent – checking in – and then asked a question. Because of that, we understood his motivation was genuine, and he wanted an honest answer.
  2. Ask open-ended questions: Elmo didn’t ask a closed question that can be answered with yes or no.  He asked a question that allowed people to share as much or as little as they wanted and that could act as a springboard to a deeper conversation.
  3. Listen silently and without judgment: Elmo didn’t follow up his original tweet with options like “Are you doing ok, or not ok, or are you happy, or sad, or mad, or…”  Elmo asked a question and then listened (read the responses) without jumping back into the conversation or firing off follow-up questions.
  4. Acknowledge and thank the person sharing: On Tuesday, Elmo responded but not by skipping off to the next scheduled post.  He acknowledged the response by opening with, “Wow!  Elmo is glad he asked!”  He didn’t share his opinion or immediately ask another question.  Instead, he thanked people for sharing, acknowledged that he heard their responses, and was grateful.
  5. Do something with what was shared: Even if you do #4, it’s tempting to move on to the next question.  Don’t.  Elmo didn’t.  Instead, he wrote that he “learned that it is important to ask a friend how they are doing.” He also wrote that he “will check in again soon, friends!  Elmo loves you.”  You don’t have to profess your love but do respond with what you learned and what it makes you wonder.

People can’t tell you what to create because they don’t know what you know.  But they can tell you the problems they have.  If you’re willing to listen (just don’t talk about yourself in the third person, you’re not a muppet).

3 Steps to a Truly Terrific Innovation Team

3 Steps to a Truly Terrific Innovation Team

“What had a bigger impact on the project?  The process you introduced or the people on the team?”

As much as I wanted to give all the credit to my brilliant process, I had to tell the truth.

“People.  It’s always people.”

The right people doing the right work in the right way at the right time can do incredible, even impossible, things.  But replace any “right” in the previous sentence, and even the smallest things can feel impossible.  A process can increase the odds of doing the right work in the right way, but it’s no guarantee.  It’s powerless in the hands of the wrong people.

But how do you assemble the right group of people?  Start with the 3 Ts.

Type of Innovation

We’re all guilty of using “innovation” to describe anything that is even a little bit new and different.  And we’ve probably all been punished for it.

Finding the right people for innovation start with defining what type of innovation they’ll work on

  • Incremental: updating/modifying existing offerings that serve existing customers
  • Adjacent: creating new offerings for existing customers OR re-positioning existing offerings to serve new customers
  • Radical: new offerings or business models for new customers

Different innovation types require teams to grapple with different levels of ambiguity and uncertainty.  Teams working on incremental innovations face low levels of ambiguity because they are modifying something that already exists, and they have relative certainty around cause and effect.  However, teams working on radical innovations spend months grappling with ambiguity, certain only that they don’t know what they don’t know.

Time to launch

Regardless of the type of innovation, each innovation goes through roughly the same four steps:

  1. Discover a problem to be solved
  2. Design solutions
  3. Develop and test prototypes
  4. Launch and measure

The time allotted to work through all four steps determines the pace of the team’s work and, more importantly, how stakeholders make decisions.    For example, the more time you have between the project start and the expected launch, the more time you have to explore, play, create, experiment, and gather robust data to inform decisions.  But if you’re expected to go from project start to project launch in a year or less, you need to work quickly and make decisions based on available (rather than ideal) data.

Tasks to accomplish

Within each step of the innovation process are different tasks, and different people have different abilities and comfort levels with each.  This is why there is growing evidence that experience in the phase of work is more important than industry or functional expertise for startups.

There are similar data for corporate innovators.  In a study of over 100,000 people, researchers identified the type and prevalence of four types of innovators every organization needs:

  1. Generators (17% of the sample): Find new problems and ideate based on their own experience.
  2. Conceptualizers (19%): Define the problem and understand it through abstract analysis, most comfortable in early phases of innovation (e.g., Discover and Design)
  3. Implementers (41%): Put solutions to work through experiments and adjustments, most comfortable in later stages of innovation (Develop and Launch)
  4. Optimizers (23%):  Systematically examine all alternatives to implement the best possible solution

Generators and Conceptualizers are most comfortable in the early stages of innovation (i.e., Discover and Design).  Implementers and Optimizers are most comfortable in the later stages (e.g., Develop and Launch).  The challenge for companies is that only 36% of employees fall into one of those two categories, and most tend to be senior managers and executives.

Taking Action

Putting high performers on innovation teams is tempting, and top talent often perceives such assignments as essential to promotion.  But no one enjoys or benefits when the work they’re doing isn’t the work they’re good at.  Instead, take time to work through the 3Ts, and you’ll assemble a truly terrific innovation team.