5 Questions: Ellen DiResta on Why Best Practices Fail

5 Questions: Ellen DiResta on Why Best Practices Fail

For decades, we’ve faithfully followed innovation’s best practices. The brainstorming workshops, the customer interviews, and the validated frameworks that make innovation feel systematic and professional. Design thinking sessions, check. Lean startup methodology, check. It’s deeply satisfying, like solving a puzzle where all the pieces fit perfectly.

Problem is, we’re solving the wrong puzzle.

As Ellen Di Resta points out in this conversation, all the frameworks we worship, from brainstorming through business model mapping, are business-building tools, not idea creation tools.

Read on to learn why our failure to act on the fundamental distinction between value creation and value capture causes too  many disciplined, process-following teams to  create beautiful prototypes for products nobody wants.


Robyn: What’s the one piece of conventional wisdom about innovation that organizations need to unlearn?

Ellen: That the innovation best practices everyone’s obsessed with work for the early stages of innovation.

The early part of the innovation process is all about creating value for the customer.  What are their needs?  Why are their Jobs to be Done unsatisfied?  But very quickly we shift to coming up with an idea, prototyping it, and creating a business plan.  We shift to creating value for the business, before we assess whether or not we’ve successfully created value for the customer.

Think about all those innovation best practices. We’ve got business model canvas. That’s about how you create value for the business. Right? We’ve got the incubators, accelerators, lean, lean startup. It’s about creating the startup, which is a business, right? These tools are about creating value for the business, not the customer.

 

R: You know that Jobs to be Done is a hill I will die on, so I am firmly in the camp that if it doesn’t create value for the customer, it can’t create value for the business.  So why do people rush through the process of creating ideas that create customer value?

E: We don’t really teach people how to develop ideas because our culture only values what’s tangible.  But an idea is not a tangible thing so it’s hard for people to get their minds around it.  What does it mean to work on it? What does it mean to develop it? We need to learn what motivates people’s decision-making.

Prototypes and solutions are much easier to sell to people because you have something tangible that you can show to them, explain, and answer questions about.  Then they either say yes or no, and you immediately know if you succeeded or failed.

 

R: Sounds like it all comes down to how quickly and accurately can I measure outcomes?   

E: Exactly.  But here’s the rub, they don’t even know they’re rushing because traditional innovation tools give them a sense of progress, even if the progress is wrong.

We’ve all been to a brainstorm session, right? Somebody calls the brainstorm session. Everybody goes. They say any idea is good. Nothing is bad. Come up with wild, crazy ideas. They plaster the walls with 300 ideas, and then everybody leaves, and they feel good and happy and creative, and the poor person who called the brainstorm is stuck.

Now what do they do? They look at these 300 ideas, and they sort them based on things they can measure like how long it’ll take to do or how much money it’ll cost to do it.  What happens?  They end up choosing the things that we already know how to do! So why have the brainstorm?”

 

R: This creates a real tension: leadership wants progress they can track, but the early work is inherently unmeasurable. How do you navigate that organizational reality?

E: Those tangible metrics are all about reliability. They make sure you’re doing things right. That you’re doing it the same way every time? And that’s appropriate when you know what you’re doing, know you’re creating value for the customer, and now you’re working to create value for the business.  Usually at scale

But the other side of it?  That’s where you’re creating new value and you are trying to figure things out.  You need validity metrics. Are we doing the right things? How will we know that we’re doing the right things.

 

R: What’s the most important insight leaders need to understand about early-stage innovation?

E: The one thing that the leader must do  is run cover. Their job is to protect the team who’s doing the actual idea development work because that work is fuzzy and doesn’t look like it’s getting anywhere until Ta-Da, it’s done!

They need to strategically communicate and make sure that the leadership hears what they need to hear, so that they know everything is in control, right? And so they’re running cover is the best way to describe it. And if you don’t have that person, it’s really hard to do the idea development work.”

But to do all of that, the leader also must really care about that problem and about understanding the customer.


We must create value for the customer before we can create value for the business. Ellen’s insight that most innovation best practices focus on the latter is devastating.  It’s also essential for all the leaders and teams who need results from their innovation investments.

Before your next innovation project touches a single framework, ask yourself Ellen’s fundamental question: “Are we at a stage where we’re creating value for the customer, or the business?” If you can’t answer that clearly, put down the canvas and start having deeper conversations with the people whose problems you think you’re solving.

To learn more about Ellen’s work, check out Pearl Partners.

To dive deeper into Ellen’s though leadership, visit her Substack – Idea Builders Guild.

To break the cycle of using the wrong idea tools, sign-up for her free one-hour workshop.

5 Questions: Kate Dixon on How Compensation Reveals Culture

5 Questions: Kate Dixon on How Compensation Reveals Culture

It’s time for your company’s All-Hands meeting. Your CEO stands on stage and announces ambitious innovation goals, talking passionately about the importance of long-term thinking and breakthrough results. Everyone nods enthusiastically, applauds politely, and returns to their desks to focus on hitting this quarter’s numbers.  After all, that’s what their bonuses depend on.

Kate Dixon, compensation expert and founder of Dixon Consulting, has watched this contradiction play out across Fortune 500 companies, B Corps, and startups. Her insight cuts to the heart of why so many innovation initiatives fail: we’re asking people to think long-term while paying them to deliver short-term.

In our conversation, Kate revealed why most companies are inadvertently sabotaging their own innovation efforts through their compensation structures—and what the smartest organizations are doing differently.


Robyn Bolton: Kate, when I first heard you say, “compensation is the expression of a company’s culture,” it blew my mind.  What do you mean by that?

Kate Dixon: If you want to understand what an organization values, look at how they pay their people: Who gets paid more? Who gets paid less? Who gets bigger bonuses? Who moves up in the organization and who doesn’t? Who gets long-term incentives?

The answers to these questions, and a million others, express the culture of the organization.  How we reward people’s performance, either directly or indirectly, establishes and reinforces cultural norms.  Compensation is usually the biggest, if not the biggest, expenses that a company has so they’re very thoughtful and deliberate about how it is used.  Which is why it tells you what the company actually does value.

 

RB: What’s the biggest mistake companies make when trying to incentivize innovation?

KD: Let’s start by what companies are good at when it comes to compensations and incentives.  They’re really good about base pay, because that’s the biggest part of pay for most people in an organization. Then they spend the next amount of time and effort trying to figure out the annual bonus structure. After that comes other benefits, like long term incentives, assuming they don’t fall by the wayside.

As you know, innovation can take a long time to payout, so long-term incentives are key to encouraging that kind of investment.  Stock options and restricted shares are probably the most common long-term incentives but cash bonuses, phantom stock, and ESOP shares in employee-owned companies are also considered long term incentives.

Large companies are pretty good using some equity as an incentive, but they tie it t long term revenue goals, not innovation. As you often remind us, “innovation is a means to the end, which is growth,” so tying incentives to growth isn’t bad but I believe that we can do better. Tying incentives to the growth goals and how they’re achieved will go a long way towards driving innovation.

 

RB: I’ve worked in and with big companies and I’ve noticed that while they say, “innovation is everyone’s job,” the people who get long-term incentives are typically senior execs.  What gives?

Long-term incentives are definitely underutilized, below the executive level, and maybe below the director level. Assuming that most companies’ innovation efforts aren’t moonshots that take decades to realize, it makes a ton of sense to use long-term incentives throughout the organization and its ecosystem.  However, when this idea is proposed, people often pushback because “it’s too complex” for folks lower in the organization, “they wouldn’t understand.” or “they won’t appreciate it”. That stance is both arrogant and untrue.  I’ve consistently seen that when you explain long-term incentives to people, they do get it, it does motivate them, and the company does see results.

 

RB: Are there any examples of organizations that are getting this right?

We’re seeing a lot more innovative and interesting risk-taking behaviors in companies that are not primarily focused on profit.

Our B Corp clients are doing some crazy, cool stuff.  We have an employee-owned company that is a consulting firm, but they had an idea for a software product.  They launched it and now it’s becoming a bigger and bigger part of their business.

Family-owned or public companies that have a single giganto shareholder are also hotbeds of long-term thinking and, therefore, innovation.  They don’t have that same quarter to quarter pressure that drives a relentless focus on what’s happening right now and allows people to focus on the future.

 

What’s the most important thing leaders need to understand about compensation and innovation?

If you’re serious about innovation, you should be incentivizing people all over the organization.  If you want innovation to be a more regular piece of the culture so you get better results, you’ve got to look at long term incentives.  Yes, you should reward people for revenue and short-term goals.  But you also need to consider what else is a precursor to our innovation. What else is makes the conditions for innovating better for people, and reward that, too.


Kate’s insight reveals the fundamental contradiction at the heart of most companies’ innovation struggles: you can’t build long-term value with short-term thinking, especially when your compensation system rewards only the latter.

What does your company’s approach to compensation say about its culture and values?

Back to Basics: Leaders and Managers

Back to Basics: Leaders and Managers

Imagine that you are the CEO working with your CHRO on a succession plan.  Both the CFO and COO are natural candidates, and both are, on paper, equally qualified and effective.

The CFO distinguishes herself by consistently working with colleagues to find creative solutions to business issues, even if it isn’t the optimal solution financially, and inspiring them with her vision of the future. She attracts top talent and builds strong relationships with investors who trust her strategic judgment. However, she sometimes struggles with day-to-day details and can be inconsistent in her communication with direct reports.

The COO inspires deep loyalty from his team through consistent execution and reliability. People turn down better offers to stay because they trust his systematic approach, flawless delivery, and deep commitment to developing people. However, his vision rarely extends beyond “do things better,” rigidly adhering to established processes and shutting down difficult conversations with peers when change is needed.

Who so you choose?

The COO feels like the safer bet, especially in uncertain times, given his track record of proven execution, loyal teams, and predictable results. While the CFO feels riskier because she’s brilliant but inconsistent, visionary but scattered.

It’s not an easy question to answer.

Most people default to “It depends.”

 

It doesn’t depend.

 

It doesn’t “depend,” because being CEO is a leadership role and only the CFO demonstrates leadership behaviors. The COO, on the other hand, is a fantastic manager, exactly the kind of person you want and need in the COO role. But he’s not the leader a company needs, no matter how stable or uncertain the environment.

Yet we all struggle with this choice because we’ve made “leadership” and “management” synonyms. Companies no longer have “senior management teams,” they have “senior/executive leadership teams.”  People moving from independent contributor roles to oversee teams are trained in “people leadership,” not “team management” (even though the curriculum is still largely the same).

But leadership and management are two fundamentally different things.

 

Leader OR Manager?

There are lots of definitions of both leaders and managers, so let’s go back to the “original” distinction as defined by Warren Bennis in his 1987 classic On Becoming a Leader

Leaders Managers
·       Do the right things

·       Challenge the status quo

·       Innovate

·       Develops

·       Focuses on people

·       Relies on trust

·       Has a long-range perspective

·       Asks what and why

·       Has an eye on the horizon

·       Do things right

·       Accept the status quo

·       Administers

·       Maintains

·       Focuses on systems and structures

·       Relies on control

·       Has a short-range view

·       Asks how and when

·       Has an eye on the bottom line

In a nutshell: leaders inspire people to create change and pursue a vision while managers control systems to maintain operations and deliver results.

 

 

Leaders AND Managers!

Although the roles of leaders and managers are different, it doesn’t mean that the person who fills those roles is capable of only one or the other. I’ve worked with dozens of people who are phenomenal managers AND leaders and they are as inspiring as they are effective.

But not everyone can play both roles and it can be painful, even toxic, when we ask managers to take on leadership roles and vice versa. This is the problem with labeling everything outside of individual contributor roles as “leadership.”

When we designate something as a “people leadership” role and someone does an outstanding job of managing his team, we believe he’s a leader and promote him to a true leadership role (which rarely ends well).  Conversely, when we see someone displaying leadership qualities and promote her into “people leadership,” we may be shocked and disappointed when she struggles to manage as effortlessly as she inspires.

The Bottom Line

Leadership and Management aren’t the same thing, but they are both essential to an organization’s success. They key is putting the right people in the right roles and celebrating their unique capabilities and contributions.

This AI Creativity Trap is Gutting Your Growth Capabilities

This AI Creativity Trap is Gutting Your Growth Capabilities

“We have to do more with less” has become an inescapable mantra, and goodness, are you trying.  You’ve slashed projects and budgets, “right-sized” teams, and tried any technology that promised efficiency and a free trial.  Now, all that’s left is to replace the people you still have with AI creativity tools.  Welcome to the era of the AI Innovation Team.

It sounds like a great idea.  Now, everyone can be an innovator with access to an LLM.  Heck, even innovation firms are “outsourcing” their traditional work to AI, promising the same radical results with less time and for far less money.

It sounds almost too good to be true.

Because it is too good to be true.

 

AI is eliminating the very brain processes that produce breakthrough innovations.

This isn’t hyperbole, and it’s not just one study.

MIT researchers split 54 people into three groups (ChatGPT users, search engine users, and no online/AI tools using ChatGPT) and asked them to write a series of essays.  Using EEG brain monitoring, they found that the brain connectivity in networks crucial for creativity and analogous thinking dropped by 55%.

Even worse? When people stopped using AI, their brains stayed stuck in this diminished state.

University of Arkansas researchers tested AI against 3,562 humans on a series of four challenges involving finding new uses for everyday objects, like a brick or paperclip.   While AI scored slightly higher on standard tests, when researchers introduced a new context, constraint, or modification to the object, AI’s performance “collapsed.” Humans stayed strong.

Why? AI relies on pattern matching and is unable to transfer its “creativity” to unexpected scenarios. Humans use analogical reasoning so are able to flex quickly and adapt.

University of Strasbourg researchers analyzed 15,000 studies of COVID-19 infections and found that teams that relied heavily on AI experts produced research that got fewer citations and less media attention. However, papers that drew from diverse knowledge sources across multiple fields became widely cited and influential.

The lesson? Breakthroughs require cross-domain thinking, which is precisely what diverse human teams provide, and, according to the MIT study, AI is unable to produce.

How to optimize for efficiency AND impact (and beat your competition)

While this seems like bad news if you’ve already cut your innovation team, the silver lining is that your competition is probably making the same mistake.

Now that you know better, you can do better, and that creates a massive opportunity.

Use AI for what it does well:

  • Data analysis and synthesis
  • Rapid testing and iteration to refine an advanced prototype
  • Process optimization

Use humans for what we do well:

  • Make meaningful connections across unrelated domains
  • Recognize when discoveries from one field apply to another
  • Generate the “aha moments” that redefine industries

 

Three Questions to Ask This Week
  1. Where did your most recent breakthroughs come from? How many came from connecting insights across different domains? If most of your innovations require analogical leaps, cutting creative teams could kill your pipeline.
  2. How are teams currently using AI tools? Are they using AI for data synthesis and rapid iteration? Good. Are they replacing human ideation entirely? Problem.
  3. How can you see it to believe it? Run a simple experiment: Give two teams an hour to solve a breakthrough challenge. Have one solve it with AI assistance and one without.  Which solution is more surprising and potentially breakthrough?

 

The Hidden Competitive Advantage

As AI commoditizes pattern recognition, human analogical thinking and creativity become a competitive advantage.

The companies that figure out the right balance will eat everyone else’s lunch.