Author Archives: Robyn Bolton

About Robyn Bolton

Robyn M. Bolton is the founder and chief navigator of MileZero, a consultancy that helps leaders use innovation to confidently and consistently grow revenue. She is also an assistant professor at the Massachusetts College of Art and Design, where she teaches innovation and strategy courses. She is the author of "Unlocking Innovation: A Leader’s Guide for Turning Bold Ideas into Tangible Results." She previously worked at Innosight, the innovation and strategy firm founded by Clayton Christensen; the Boston Consulting Group; and Procter & Gamble, where she helped develop and launch Swiffer. Bolton holds an MBA from Harvard Business School and a BS in marketing from Miami University. If you are frustrated that your innovation efforts are not producing results, she offers a free one-sheet with 5 Ways to Get Rapid Results from Innovation at www.MileZero.io

‘Fail Fast’ is BS. Do This Instead

'Fail Fast' is BS. Do This Instead

GUEST POST from Robyn Bolton

“Fail Fast”

It’s an innovation mantra uttered by everyone, from an entry-level programmer at a start-up to a Fortune 100 CEO.

But let’s be honest.

NO ONE WANTS TO FAIL!

(at any speed)

The reality is that we work in companies that reward success and relentlessly encourage us to become great at a specific skill, role, or function. As a result, our natural and rational aversion to failure is amplified, and most of us won’t even start something if there’s a chance that we won’t be great at it right away.

It’s why, despite your best efforts to encourage your team to take risks and embrace “failure,” nothing changes.

A Story of Failure?

A few weeks ago, while on vacation, I dusted off an old copy of Drawing on the Right Side of the Brain by Betty Edwards. As a kid, I was reasonably good at drawing, so I wasn’t worried about being bad, just rusty.

Then I read the first exercise: Before beginning instruction, draw each of the following:

  • “A Person, Drawn from Memory”
  • “Self-Portrait”
  • “My Hand”

I stared at the page. Thoughts raced through my head:

  • You have to be kidding me! These are the three most challenging things to draw. Even for a professional!
  • How am I supposed to do this without instructions?
  • Maybe I’ll skip this step, read the rest of the book to get the instructions I need, then come back and try this once I have all the information.
  • Forget it. I’m not doing this.

Confronted by not one but THREE things to be bad at, I was ready to quit.

Then I took a deep breath, picked up my trusty #2 pencil, and started to draw.

The results were terrible.

A Story of Success

It would be easy to look at my drawings and declare them a failure – my husband is missing his upper lip, I look like a witch straight out of Grimm’s Fairy Tales, and the thumb on my left hand is the same length as my index finger.

But I didn’t fail*.

I started

I did my best

I learned a lot

I did better the next time.

By these standards, my first attempts were a success**

Ask for what you want

Isn’t that what you want your team to do?

To stop analyzing and posturing and start doing.

To do their best with what they have and know now, instead of worrying about all the possibilities.

To admit their mistakes and share their learnings.

To respond to what they learned, even if it means shutting down a project, and keep growing.

Ask them to do those things.

Ask them to “Learn fast.”

Your people want to learn. They want to get smarter and do better. Encourage that.

Ask them to keep learning.

Your team will forget that their first attempt will be uncomfortable and their first result terrible. That’s how learning starts. It’s called “growing pains,” not “growing tickles,” for a reason.

Ask them to share what they learned.

Your team will want to hide their mistakes, but that doesn’t make anyone better or wiser. Sharing what they did and what they learned makes everyone better. Reward them for it.

Ask the team what’s next

It’s not enough to learn one thing quickly. You need to keep learning. Your team is in the trenches, and they know what works, what doesn’t, and why. Ask for their opinions, listen carefully, discuss, and decide together what to learn next.

You don’t want your team to fail.

You want them to succeed.

Ask them to do what’s necessary to achieve that

“Act Now. Learn Fast.”

*Achieving perfect (or even realistic) results on my first attempt is impossible. You can’t fail at something impossible

** To be clear, I’m not making a case for “participation trophies.”  You gotta do more than just show up (or read the book). You gotta do the work. But remember, sometimes success is simply starting.

Image Credit: Unsplash

Subscribe to Human-Centered Change & Innovation WeeklySign up here to get Human-Centered Change & Innovation Weekly delivered to your inbox every week.

Why Data-Based Decisions Will Lead You Straight to Hell

Why Data-Based Decisions Will Lead You Straight to Hell

GUEST POST from Robyn Bolton

Many years ago, Clay Christensen visited his firm where I was a partner and told us a story*.

“I imagine the day I die and present myself at the entrance to Heaven,” he said. “The Lord will show me around, and the beauty and majesty will overcome me. Eventually, I will notice that there are no numbers or data in Heaven, and I will ask the Lord why that is.”

“Data lies,” the Lord will respond. “Nothing that lies can be in Heaven. So, if people want data, I tell them to go to Hell.”

We all chuckled at the punchline and at the strength of the language Clay used (if you ever met him, you know that he was an incredibly gentle and soft-spoken man, so using the phrase “go to Hell” was the equivalent of your parents unleashing a five-minute long expletive-laden rant).

“If you want data, go to Hell.”

Clay’s statement seems absolutely blasphemous, especially in a society that views quantitative data as the ultimate source of truth:

  • “In God we trust. All others bring data.” W. Edward Deming, founding Father of Total Quality Management (TQM)
  •  “Above all else, show the data.” – Edward R. Tufte, a pioneer in the field of data visualization
  • “What gets measured gets managed” – Peter Drucker, father of modern management studies

But it’s not entirely wrong.

Quantitative Data’s blessing: A sense of safety

As humans, we crave certainty and safety. This was true millennia ago when we needed to know whether the rustling in the leaves was the wind or a hungry predator preparing to leap and tear us limb from lime. And it’s true today when we must make billion-dollar decisions about buying companies, launching products, and expanding into new geographies.

We rely on data about company valuation and cash flow, market size and growth, and competitor size and strategy to make big decisions, trusting that it is accurate and will continue to be true for the foreseeable future.

Quantitative Data’s curse: The past does not predict the future

As leaders navigating an increasingly VUCA world, we know we must prepare for multiple scenarios, operate with agility, and be willing to pivot when change happens.

Yet we rely on data that describes the past.

We can extrapolate it, build forecasts, and create models, but the data will never tell us with certainty what will happen in the future. It can’t even tell us the Why (drivers, causal mechanisms) behind the What it describes.

The Answer: And not Or

Quantitative data Is useful. It gives us the sense of safety we need to operate in a world of uncertainty and a starting point from which to imagine the future(s).

But, it is not enough to give the clarity or confidence we need to make decisions leading to future growth and lasting competitive advantage.

To make those decisions, we need quantitative data AND qualitative insights.

We need numbers and humans.

Qualitative Insight’s blessing: A view into the future

Humans are the source of data. Our beliefs, motivations, aspirations, and actions are tracked and measured, and turned into numbers that describe what we believed, wanted, and did in the past.

By understanding human beliefs, motivations, and aspirations (and capturing them as qualitative insights), we gain insight into why we believed, wanted, and did those things and, as a result, how those beliefs, motivations, aspirations, and actions could change and be changed. With these insights, we can develop strategies and plans to change or maintain beliefs and motivations and anticipate and prepare for events that could accelerate or hinder our goals. And yes, these insights can be quantified.

Qualitative Insight’s curse: We must be brave

When discussing the merit of pursuing or applying qualitative research, it’s not uncommon for someone to trot out the saying (erroneously attributed to Henry Ford), “If I asked people what they wanted, they would have said a horse that goes twice as fast and eats half as much.”

Pushing against that assertion requires you to be brave. To let go of your desire for certainty and safety, take a risk, and be intellectually brave.

Being brave is hard. Staying safe is easy. It’s rational. It’s what any reasonable person would do. But safe, rational, and reasonable people rarely change the world.

One more story

In 1980, McKinsey predicted that the worldwide market for cell phones would max out at 900,000 subscribers. They based this prediction on solid data, analyzed by some of the most intelligent people in business. The data and resulting recommendations made sense when presented to AT&T, McKinsey’s client.

Five years later, there were 340,213 subscribers, and McKinsey looked pretty smart. In 1990, there were 5.3 million subscribers, almost 6x McKinsey’s prediction.   In 1994, there were 24.1M subscribers in the US alone (27x McKinsey’s global forecast), and AT&T was forced to pay $12.6B to acquire McCaw Cellular.

Should AT&T have told McKinsey to “go to Hell?”  No.

Should AT&T have thanked McKinsey for going to (and through) Hell to get the data, then asked whether they swung by earth to talk to humans and understand their Jobs to be Done around communication? Yes.

Because, as Box founder Aaron Levie reminds us,

“Sizing the market for a disruptor based on an incumbent’s market is like sizing a car industry off how many horses there were in 1910.”

* Except for the last line, these probably (definitely) weren’t his exact words, but they are an accurate representation of what I remember him saying

Image Credit: Pixabay

Subscribe to Human-Centered Change & Innovation WeeklySign up here to get Human-Centered Change & Innovation Weekly delivered to your inbox every week.