Tag Archives: Strategy

Moneyball and the Beginning, Middle, and End of Innovation

GUEST POST from Robyn Bolton

Recently, pitchers and catchers reported to MLB Spring Training facilities in Florida and Arizona. For baseball fans, this is the first sign of Spring, an occasion that heralds months of warmth and sunshine, ballparks filled (hopefully) with cheering fans, dinners of beers and brats, and the undying belief that this year will be the year.

Of course, there was still a lot of dark, dreary cold between then and Opening Day. Perfect weather for watching baseball movies – Bull Durham, Major League, The Natural, Field of Dreams, and, of course, Moneyball.

Moneyball is based on the book of the same name by Michael Lewis and chronicles the 2002 Oakland Athletics season. The ’02 Oakland A’s, led by General Manager Billy Beane (played by Brad Pitt), forever changed baseball by adopting an approach that valued rigorous statistical analysis over the collective wisdom of baseball insiders (coaches, scouts, front office personnel) when building a team. This approach, termed “Moneyball,” enabled the A’s to reach the postseason with a team that cost only $44M in salary, compared to the NY Yankees that spent $125M to achieve the same outcome.

While the whole movie (and book) is a testament to the courage and perseverance required to challenge and change the status quo, time and again I come back to three lines that perfectly sum up the journey of every successful intrapreneur I’ve ever met.

The Beginning

“I know you’ve taken it in the teeth out there, but the first guy through the wall…he always gets bloody…always always gets bloody. This is threatening not just a way of doing business… but in their minds, it’s threatening the game. Really what it’s threatening is their livelihood, their jobs. It’s threatening the way they do things… and every time that happens, whether it’s the government, a way of doing business, whatever, the people who are holding the reins – they have their hands on the switch – they go batshit crazy.”

John Henry, Owner of the Boston Red Sox

Context

The 2002 season is over, and the A’s were eliminated in the first round of the playoffs. John Henry, an owner of the Boston Red Sox, has invited Bill Beane to Boston to offer him the Red Sox GM job.

Lesson

This is what you sign up for when you decide to be an Intrapreneur. The more you challenge the status quo, the more you question how business is done, the more you ask Why and demand an answer, the closer you get to “tak(ing) it in the teeth.”

This is why courage, perseverance, and an unshakeable belief that things can and should be better are absolutely essential for intrapreneurs. Your job is to run at the wall over and over until you get through it.

People will follow. The Red Sox did. They won the World Series in 2004, breaking an 84-year-old curse.

The Middle

“It’s a process, it’s a process, it’s a process”

Bill Beane

Context

Billy has to convince the ballplayers to forget all the habits that made them great and embrace the philosophy of Moneyball. To stop stealing bases, turning double plays on bunts, and swinging for the fences and to start taking walks, throwing to first for the easy out, and prioritize getting on base over hitting a home run.

The players are confused and frustrated. Suddenly, everything that they once did right is wrong and what was not valued is deeply prized.

Lesson

Innovation is something new that creates value. Something new doesn’t just require change, it requires people to stop doing things that work and start doing things that seem strange or even wrong.

Change doesn’t happen overnight. It’s not a switch to be flipped. It’s a process to be learned. It takes time, practice, reminders, and patience.

The End

“When you get an answer you’re looking for, hang up.”

Billy Beane

Context

In this scene, Billy has offered one of his players to multiple teams, searching for the best deal. When the phone rings with a deal he likes, he and the other General Manager (GM) agree to it, Billy hangs up. Even though the other GM was in the middle of a sentence. When Peter Brand, the Assistant GM played by Jonah Hill, points out that Billy had just hung up on the other GM, Billy responds with this nugget of wisdom.

Lesson

It’s advice intrapreneurs should take very much to heart. I often see Innovation teams walk into management presentations with long presentations, full of data and projections, anxious to share their progress, and hoping for continued funding and support. When the meeting starts, a senior exec will say something like, “We’re excited by the progress we’re hearing about and what it will take to continue.”

That’s the cue to “hang up.”

Instead of starting the presentation from the beginning, start with “what it will take to continue.” You got the answer you’re looking for – they’re excited about the progress you’ve made – don’t spend time giving them the info they already have or, worse, could raise questions and dim their enthusiasm. Hang up on the conversation you want to have and have the conversation they want to have.

In closing

Moneyball was an innovation that fundamentally changed one of the most tradition-bound businesses in sports. To be successful, it required someone willing to take it in the teeth, to coach people through a process, and to hang up when they got the answer they wanted. It wasn’t easy but real change rarely is.

The same is true in corporations. They need their own Bill Beanes.

Are you willing to step up to the plate?

Image credits: Pixabay

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‘Innovation’ is Killing Innovation. How Do We Save It?

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'Innovation' is Killing Innovation. How Do We Save It?

GUEST POST from Robyn Bolton

How do people react when you say “innovation?”

Lean forward, eyes glittering, eager to hear more
Stare blankly and nod slowly
Roll their eyes and sigh
Wave their hands dismissively and tell you to focus on other, more urgent priorities.

If you answered C, you’re in good company.

Innovation is a buzzword. Quick searches of Amazon and Google Scholar result in 100,000+ books and 200,000+ articles on the topic, while a scan of the SEC’s database yields 8,000 K-1 filings with the word “innovation” in 2020 alone.

“Innovation” is meaningless, like all buzzwords. There’s a reason that practitioners and consultants insist on establishing a common definition before starting innovation work. I’ve been in meetings with ten people, asked each person to define “innovation,” and heard 12 different answers.

But all this pales in comparison to the emotional response it elicits. Some people get incredibly excited, bouncing out of their seats, ready to bring their latest idea to life (whether it should be brought to life is a different story.). Some nod solemnly as if confronted by a necessary evil, accepting a fate beyond their control. Most roll their eyes because they’ve been through this before and, like all management “flavors of the month,” this too shall pass.

“Innovation” is killing Innovation

The emotions and opinions we tie to “innovation” overwhelm the dictionary definition, making it difficult to believe that the process and, more importantly, the result will be different this time.

We need a different word.

One that has the same meaning and none of the baggage.

This may feel impossible, but if “literally” can mean “figuratively” (do NOT get me started on this 2013 decision) and the Oxford English Dictionary can add 700 new words in 2022, surely we can figure this out.

10 alternatives to ‘Innovation’

The following options are sourced primarily from conversations with other experts and practitioners.

Invention
Ideation
Incubation
Improvement
Creation
Design
Growth
Transformation
Business R&D*

Yes, #10 is intentionally missing because…

What do you think?

Finding a new word (or maybe changing how “innovation” is perceived, understood, and pursued) is a group effort. One person alone can’t do it, and a few people on a call complaining about the state of things certainly won’t (we’ve tried).

What do you think?

Do we need a different word for “innovation,” or should we keep it and deal with the baggage?

If we need a different word, what could it be? What do YOU use?

If we keep it, how do you combat the misunderstanding, eye rolls, and emotional baggage?

Let us know in the comments.

* This option came directly from a conversation with a client last week, and I kinda love it.

We discussed the challenge of getting engineers to stay in a discovery mindset rather than jumping immediately to solutions. Even though they work in R&D (the function), he observed that 99.9% of their work (and, honestly, their careers) is spent on the D in R&D (development).

That’s when it clicked.

Research begins with investigation and inquiry to understand a broad problem and then uses the resulting insights to solve a specific problem. It is a learning process, just like the early stages of Innovation. And, just like in the early days of Innovation, you can’t predict the result or routinize the work.

Development focuses on bringing the “new or modified product or process to production,” Just like the later phases of Innovation when prototyping and experimentation are required, and risk is driven out of the proposition.

Traditional R&D focuses on technical and scientific exploration and solutioning,

Innovation focuses on market, consumer/customer, and business model exploration and solutioning.

It is R&D for the business.

Business R&D.

Image credits: Pixabay

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Innovation Is Driving Away Your Top Talent

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Innovation Is Driving Away Your Top Talent

GUEST POST from Robyn Bolton

You want and need the best, most brilliant, most awesome-est people at your company. But with unemployment at a record low, the battle for top talent is fierce.

So, you vow not to enter the battle and invest in keeping your best people and building a reputation that attracts other extraordinary talents.

You offer high salaries, great benefits, flexible work arrangements, the prestige of working for your company, and the promise of rapid career progression. All things easily matched or beaten by other companies, so you get creative.

INNOVATION!

Your best people are full of ideas and have the confidence and energy to make things happen. So, you unleash them. You host hackathons and shark tanks. You install idea collection software and run contests. You offer training on how to be more innovative. You encourage employees to spend 20% of their time on passion projects.

And they quit.

They quit participating in all the opportunities you offer.

They quit sharing ideas.

They quit your company,

Not because they are ungrateful.

Or because they don’t want to innovate.

Or because they don’t have ideas.

They quit because they realize one of the following “truths”

They’re not “Innovators”

High performers believe they need to work on an innovation project to progress (because management explicitly or implicitly communicates this). But when they finally get their chance, they struggle. The project falls behind schedule, struggles to meet objectives, and is quietly canceled. They see this as a failure. They believe they failed.

But they didn’t fail. They learned something very uncomfortable – they’re not good at everything.

Innovation is different than Operation. When you’re operating, you’re working in a world full of knowledge, where cause and effect are predictable and “better” is easily defined. When you’re innovating, you’re working in a world full of assumptions, where things are unpredictable, patterns emerge slowly, and few things are defined. Most people are great at operating. Some people are great at innovating. Extraordinarily few are great at both.

Innovation is a hobby, not an imperative

The problem with innovation efforts like hackathons, shark tanks, and “20% Time” is that people pour their hearts and souls into them and get nothing in return. Sure, an award, a photo with the CEO, and bragging rights motivate them for a few weeks. But when their hard work isn’t nurtured, developed, and brought to a conclusion (either launched or shelved), they realize it was all a ruse.

They are disappointed but hope the next time will be different. It isn’t.

They stop participating to spend time on “more important” things (their “real” work). But they still care, so they keep tabs on other people’s efforts, quietly hoping this time will be different. It isn’t.

They grow cynical.

They choose to stay and accept that innovation isn’t valued or resign and go somewhere it is.

Their potential is bigger than your box

“I felt like Dorothy in the Wizard of Oz. Before the training, the world was black and white. After, it was full color. I don’t want to go back to black and white.”

For this person, the training had gone wonderfully awry.

The training built their innovation skills but motivated them to find another job because it opened their eyes. They realized that while they loved the uncertainty and creativity of innovation, their place in the organization wouldn’t allow them to innovate. They were in a box on an org chart. They no longer wanted to be in that box, but the company expected them to stay.

But are these “truths” true?

As Mom always said, actions speak louder than words.

Who does your company value more – innovators or operators? The answer lies in who you promote.
Is innovation a strategic priority? The answer lies in where and how you allocate resources (people, money, and time).
Do you want to retain the person or the resource? The answer lies in your willingness to support the person’s growth.

Speak the truth early and often

If a top performer struggles in an innovation role, don’t wait until the project “fails” to reassure them that operators are as (or more) important and loved as innovators. Connect them with senior execs who faced the same challenges. Make sure their next role is as desirable as their current one.

(Or, if innovators are truly valued more than operators, tell them that, too.)

If innovation is an imperative, commit as much time and effort to planning what happens after the event as you do planning the event itself. Have answers to how people will be freed up to continue to work on their projects, money will be allocated, and decisions will be made.

(Or, if innovation really is a corporate hobby, follow the model of top universities and let people participate f they want and give everyone else time off to pursue their hobbies).

If you want to retain the person more than the resource, work with them to plot a path to the next role. Be honest about the time and challenge of moving between boxes and the effects on their career. And if they still want to break out of the box, help them.

(Or, if you want them to stay in the box, tell them that, too.)

Don’t let Innovation! drive away your top talent. Use honesty to keep them.

Image credits: Pixabay

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3 Examples of Why Innovation is a Leadership Problem

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Through the Looking Glass

3 Examples of Why Innovation is a Leadership Problem

GUEST POST from Robyn Bolton

Do you sometimes feel like you’re living in an alternate reality?

If so, you’re not alone. Most innovators feel that way at some point.

After all, you see things that others don’t.

Question things that seem inevitable and true.

Make connections where others only see differences.

Do things that seem impossible.

It’s easy to believe that you’re the crazy one, the Mad Hatter and permanent resident of Wonderland.

But what if you’re not the crazy one?

What if you’re Alice?

And you’re stepping through the looking glass every time you go to work?

In Lewis Carroll’s book, the other side of the looking glass is a chessboard, and all its inhabitants are chess pieces that move in defined and prescribed ways, follow specific rules, and achieve defined goals. Sound familiar?

Here are a few other things that may sound familiar, too

“The rule is, jam tomorrow and jam yesterday – but never jam today.” – The White Queen

In this scene, the White Queen offers to hire Alice as her lady’s maid and pay her “twopence a week and jam every other day.” When Alice explains that she doesn’t want the job, doesn’t like jam, and certainly doesn’t want jam today, the queen scoffs and explains the rule.

The problem, Alice points out, is that it’s always today, and that means there’s never jam.

Replace “jam” with “innovation,” and this hits a little too close to home for most innovators.

How often do you hear about the “good old days” when the company was more entrepreneurial, willing to experiment and take risks, and encouraged everyone to innovate?

Innovation yesterday.

How often do you hear that the company will invest in innovation, restart its radical innovation efforts, and disrupt itself as soon as the economy rebounds, business improves, and things settle down a bit? Innovation tomorrow.

But never innovation today. After all, “it’s [innovation] every other day: today isn’t any other day, you know.”

“When I use a word, it means just what I choose it to mean – neither more, not less.” – Humpty Dumpty

In this scene, poor Alice tries to converse with Humpty Dumpty, but he keeps using the “wrong” words. Except they’re not the wrong words because they mean exactly what he chooses them to mean.

Even worse, when Alice asks Humpty to define confusing terms, he gets angry, speaks in a “scornful tone,” and smiles “contemptuously” before “wagging his head gravely from side to side.

We all know what the words we use mean, but we too often think others share our definitions. We use “innovation” and “growth,” assuming people know what we mean. But they don’t. They know what the words mean to them. And that may or may not be what we mean.

When managers encourage people to share ideas, challenge the status quo, and take risks, things get even trickier. People listen, share ideas, challenge the status quo, and take risks. Then they are confused when management doesn’t acknowledge their efforts. No one realizes that those requests meant one thing to the managers who gave them and a different thing to the people who did them.

“It takes all the running you can do, to keep in the same place. If you want to go somewhere else, you must run at least twice as fast as that!” – The Red Queen

In this scene, the Red Queen introduces life on the other side of the looking glass and explains Alice’s new role as a pawn. Of course, the explanation comes after a long sprint that seems to get them nowhere and only confuses Alice more.

When “tomorrow” finally comes, and it’s time for innovation, it often comes with a mandate to “act with urgency” to avoid falling behind. I’ve seen managers set goals of creating and launching a business with $250M revenue in 3 years and leadership teams scrambling to develop a portfolio of businesses that would generate $16B in 10 years.

Yes, the world is moving faster, so companies need to increase the pace at which they operate and innovate. But if you’re doing all you can, you can’t do twice as much. You need help – more people and more funding, not more meetings or oversight.

“Life, what is it but a dream?”

Managers and executives, like the kings and queens, have roles to play. They live in a defined space, an org chart rather than a chessboard, and they do their best to navigate it following rules set by tradition, culture, and HR.

But you are like Alice. You see things differently. You question what’s taken as given. And, every now and then, you probably want to shake someone until they grow “shorter – and fatter – and softer – and rounder – and…[into] a kitten, after all.”

So how do you get back to reality and bring everyone with you? You talk to people. You ask questions and listen to the answers. You seek to understand their point of view and then share yours.

Some will choose to stay where they are.

Some will choose to follow you back through the looking glass.

They will be the ones who transform a leadership problem into a leadership triumph.

Image credits: Pixabay

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How Has Innovation Changed Since the Pandemic?

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The Answer in Three Charts

How Has Innovation Changed Since the Pandemic?

GUEST POST from Robyn Bolton

“Everything changed since the pandemic.”

At this point, my husband, a Navy veteran, is very likely to moo (yes, like a cow). It’s a habit he picked up as a submarine officer, something the crew would do whenever someone said something blindingly obvious because “moo” is not just a noise. It’s an acronym – Master Of the Obvious.

But HOW did things change?

From what, to what?

So what?

It can be hard to see the changes when you’re living and working in the midst of them. This is why I found “Benchmarking Innovation Impact, from InnoLead,” a new report from InnoLead and KPMG US, so interesting, insightful, and helpful.

There’s lots of great stuff in the report (and no, this is not a sponsored post though I am a member), so I limited myself to the three charts that answer executives’ most frequently asked innovation questions.

Innovation Leader Research 2023 Chart 1

Question #1: What type of innovation should I pursue?

2023 Answer: Companies are investing more than half of their resources in incremental innovation

So What?: I may very well be alone in this opinion, but I think this is great news for several reasons:

Some innovation is better than none – Companies shifting their innovation spending to safer, shorter-term bets is infinitely better than shutting down all innovation, which is what usually happens during economic uncertainty
Play to your strengths – Established companies are, on average, better at incremental and adjacent innovation because they have the experience, expertise, resources, and culture required to do those well and other ways (e.g., corporate venture capital, joint ventures) to pursue Transformational innovation.
Adjacent Innovation is increasing –This is the sweet spot for corporate innovation (I may also be biased because Swiffer is an adjacent innovation) because it stretches the business into new customers, offerings, and/or business models without breaking the company or executives’ identities.

Innovation Leader Research 2023 Chart 2

Question #2: Is innovation really a leadership problem (or do you just have issues with authority)?

2023 Answer: Yes (and it depends on the situation). “Lack of Executive Support” is the #6 biggest challenge to innovation, up from #8 in 2020.

So What?: This is a good news/bad news chart.

The good news is that fewer companies are experiencing the top 5 challenges to innovation. Of course, leadership is central to fostering/eliminating turf wars, setting culture, acting on signals, allocating budgets, and setting strategy. Hence, leadership has a role in resolving these issues, too.

The bad news is that MORE innovators are experiencing a lack of executive support (24.3% vs. 19.7% in 2020) and “Other” challenges (17.3% vs. 16.4%), including:

“Different agendas held by certain leadership as to how to measure innovation and therefore how we go after innovation. Also, the time it takes to ‘sell’ an innovative idea or opportunity into the business; corporate bureaucracy.”
“Lack of actual strategy. Often, goals or visions are treated as strategy, which results in frustration with the organization’s ability to advance viable work and creates an unnecessary churn, resulting in confused decision-making.”
“Innovations are stalling after piloting due to lack of funding and executive support in order to shift to scaling. Many are just happy with PR innovation.”

Innovation Leader Research 2023 Chart 3

Question #3: How much should I invest in innovation?

2023 Answer: Most companies are maintaining past years’ budgets and team sizes.

So What?: This is another good news/bad news set of charts.

The good news is that investment is staying steady. Companies that cut back or kill innovation investments due to economic uncertainty often find that they are behind competitors when the economy improves. Even worse, it takes longer than expected to catch up because they are starting from scratch regarding talent, strategy, and a pipeline.

The bad news is that investment is staying steady. If you want different results, you need to take different actions. And I don’t know any company that is thrilled with the results of its innovation efforts. Indeed, companies can do different things with existing budgets and teams, but there needs to be flexibility and a willingness to grow the budget and the team as projects progress closer to launch and scale-up.

Not MOO

Yes, everything has changed since the pandemic, but not as much as we think.

Companies are still investing in incremental, adjacent, and transformational innovation. They’re just investing more in incremental innovation.

Innovation is still a leadership problem, but leadership is less of a problem (congrats!)

Investment is still happening, but it’s holding steady rather than increasing.

And that is nothing to “moo” at.

Image credits: Pixabay, InnoLead

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Top 10 Human-Centered Change & Innovation Articles of March 2023

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Top 10 Human-Centered Change & Innovation Articles of March 2023 Drum roll please…

At the beginning of each month, we will profile the ten articles from the previous month that generated the most traffic to Human-Centered Change & Innovation. Did your favorite make the cut?

But enough delay, here are March’s ten most popular innovation posts:

Taking Care of Yourself is Not Impossible — by Mike Shipulski

Rise of the Prompt Engineer — by Art Inteligencia

A Guide to Effective Brainstorming — by Diana Porumboiu

What Disruptive Innovation Really Is — by Geoffrey A. Moore

The 6 Building Blocks of Great Teams — by David Burkus

Take Charge of Your Mind to Reclaim Your Potential — by Janet Sernack

Ten Reasons You Must Deliver Amazing Customer Experiences — by Shep Hyken

Deciding You Have Enough Opens Up New Frontiers — by Mike Shipulski

The AI Apocalypse is Here – 3 Reasons You Should Celebrate! — by Robyn Bolton

Artificial Intelligence is Forcing Us to Answer Some Very Human Questions — by Greg Satell

BONUS – Here are five more strong articles published in February that continue to resonate with people:

There are Only 3 Reasons to Innovate – Which One is Yours? — by Robyn Bolton

How to Lead Innovation and Embrace Innovative Leadership — by Diana Porumboiu

Why Business Strategies Should Not Be Scientific — by Greg Satell

Innovating Innovation – How Machine Learning is Transforming the Innovation Game — by John Bessant

Branding versus Bonding – The Importance of Community in Marketing – Exclusive Interview with Mark Schaefer — by Braden Kelley

If you’re not familiar with Human-Centered Change & Innovation, we publish 4-7 new articles every week built around innovation and transformation insights from our roster of contributing authors and ad hoc submissions from community members. Get the articles right in your Facebook, Twitter or Linkedin feeds too!

Have something to contribute?

Human-Centered Change & Innovation is open to contributions from any and all innovation and transformation professionals out there (practitioners, professors, researchers, consultants, authors, etc.) who have valuable human-centered change and innovation insights to share with everyone for the greater good. If you’d like to contribute, please contact me.

P.S. Here are our Top 40 Innovation Bloggers lists from the last three years:

Top 40 Innovation Bloggers of 2020

Top 40 Innovation Bloggers of 2021

Top 40 Innovation Bloggers of 2022

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Your Core Business – Greatest Strength, Greatest Weakness

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Your Core Business - Greatest Strength and Greatest Weakness

GUEST POST from Mike Shipulski

Your core business, the long-standing business that has made you what you are, is both your greatest strength and your greatest weakness.

The Core generates the revenue, but it also starves fledgling businesses, so they never make it off the ground.

There’s a certainty with the Core because it builds on success, but its success sets the certainty threshold too high for new businesses. And due to the relatively high level of uncertainty of the new business (as compared to the Core) the company can’t find the gumption to make the critical investments needed to reach orbit.

The Core has generated profits over the decades and those profits have been used to create the critical infrastructure that makes its success easier to achieve. The internal startup can’t use the Core’s infrastructure because the Core doesn’t share. And the Core has the power to block all others from taking advantage of the infrastructure it created.

The Core has grown revenue year-on-year and has used that revenue to build out specialized support teams that keep the flywheel moving. And because the Core paid for and shaped the teams, their support fits the Core like a glove. A new offering with a new value proposition and new business model cannot use the specialized support teams effectively because the new offering needs otherly-specialized support and because the Core doesn’t share.

The Core pays the bills, and new ventures create bills that the Core doesn’t like to pay.

If the internal startup has to compete with the Core for funding, the internal startup will fail.

If the new venture has to generate profits similar to the Core, the venture will be a misadventure.

If the new offering has to compete with the Core for sales and marketing support, don’t bother.

If the fledgling business’s metrics are assessed like the Core’s metrics, it won’t fly, it will flounder.

If you try to run a new business from within the Core, the Core will eat it.

To work effectively with the Core, borrow its resources, forget how it does the work, and run away.

To protect your new ventures from the Core, physically separate them from the Core.

To protect your new businesses from the Core, create a separate budget that the Core cannot reach.

To protect your internal startup from the Core, make sure it needs nothing from the Core.

To accelerate the growth of the fledgling business, make it safe to violate the Core’s first principles.

To bolster the capability of your new business, move resources from the Core to the new business.

To de-risk the internal startup, move functional support resources from the Core to the startup.

To fund your new ventures, tax the Core. It’s the only way.

Image credit: Pixabay

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The Life of a Corporate Innovator

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As Told in Three Sonnets

The Life of a Corporate Innovator

GUEST POST from Robyn Bolton

Day 1

Oh innovation, a journey just begun

A bold quest filled with challenges, risks, and dreams,

A path of creativity, knowledge and fun,

That will bring change, growth and a brighter scene.

Do not be afraid, though unknowns abound,

For greatness starts with small unsteady steps

Take courage and embrace each change that’s found,

And trust that success will be the final event.

Remember, every challenge is a chance,

To learn, grow, and shape thy future bright,

And every obstacle a valuable dance,

That helps thee forge a path that’s just and right.

So go forth, my friend, and boldly strive,

To make innovation flourish and thrive.

The Abyss (Death and Rebirth)

Fight on corporate innovator, who art so bold

And brave despite the trials that thou hast,

Thou hast persevered through promises cold,

And fought through budget cuts that came so fast.

Thou hast not faltered, nor did thou despair,

Despite the lack of resources at thy door,

Thou hast with passion, worked beyond repair,

And shown a steel spine that’s hard to ignore.

Thou art a shining example to us all,

A beacon of hope in times that are so bleak,

Thou art a hero, standing tall and strong,

And leading us to victories that we seek.

So let us celebrate thy unwavering faith,

And honor thee, innovator of great grace.

The Triumph

My dear intrapreneur, well done,

The launch of thy innovation is a feat,

A result of years of hard work, and fun,

That sets a shining example for all to meet.

Thou hast persevered through many a trial,

With unwavering determination and drive,

And now, thy hard work doth make thee smile,

As thy business doth grow and thrive.

This triumph is a testament to thee,

Of thy creativity, passion, and might,

And serves as a reminder of what can be,

When we pour our hearts into what is right.

So let us raise a glass and celebrate,

Thy success, and the joy innovation hath created!

These sonnets were created with the help of ChatGPT

Image credit: Pixabay

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The AI Apocalypse is Here

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3 Reasons You Should Celebrate!

The AI Apocalypse is Here

GUEST POST from Robyn Bolton

Whelp, the apocalypse is upon us. Again.

This time the end of the world is brought to you by AI.

How else do you explain the unending stream of headlines declaring that AI will eliminate jobs, destroy the education system, and rip the heart and soul out of culture and the arts? What more proof do you need of our imminent demise than that AI is as intelligent as a Wharton MBA?

We are doomed!

(Deep breath)

Did you get the panic out of your system? Feel better?

Good.

Because AI is also creating incredible opportunities for you, as a leader and innovator, to break through the inertia of the status quo, drive meaningful change, and create enormous value.

Here are just three of the ways AI will help you achieve your innovation goals:

1. Surface and question assumptions

Every company has assumptions that have been held and believed for so long that they hardened into fact. Questioning these assumptions is akin to heresy and done only by people without regard for job security or their professional reputation.

My favorite example of an assumption comes from the NYC public school district whose spokesperson explained the decision to ban ChatGPT by saying, “While the tool may be able to provide quick and easy answers to questions, it does not build critical-thinking and problem-solving skills, which are essential for academic and lifelong success,”

Buried just under the surface of this statement is the assumption that current teaching methods, specifically essays, do build critical thinking and problem-solving skills.

But is that true?

Or have we gotten so used to believing that essays demonstrate critical thinking and problem-solving that we’ve become blind to the fact that most students (yes, even, and maybe especially, the best students) follow the recipe that produces an essay that mirrors teachers’ expectations?

Before ChatGPT, only the bravest teachers questioned the value of essays as a barometer of critical thinking and problem-solving. After ChatGPT, scores of teachers took to Tik Tok and other social media platforms to share how they’re embracing the tool, using it alongside traditional tools like essays, to help their students build skills “essential for academic and lifelong success.”

2. EQ, not IQ, drives success

When all you need to do is type a question into a chatbot, and the world’s knowledge is synthesized and fed back to you in a conversational tone (or any tone you prefer), it’s easier to be the smartest person in the room.

Yes, there will always be a need for deep subject-matter experts, academics, and researchers who can push our knowledge beyond its current frontiers. But most people in most companies don’t need that depth of expertise.

Instead, you need to know enough to evaluate the options in front of you, make intelligent decisions, and communicate those decisions to others in a way that (ideally) inspires them to follow.

It’s that last step that creates an incredible opportunity for you. If facts and knowledge were all people needed to act, we would all be fit, healthy, and have absolutely no bad habits.

For example, the first question I asked ChatGPT was, “Why is it hard for big companies to innovate?” When it finished typing its 7-point answer, I nodded and thought, “Yep, that’s exactly right.”

The same thing happened when I asked the next question, “What should big companies do to be more innovative?” I burst out laughing when the answer started with “It depends” and then nodded at the rest of its extremely accurate response.

It would be easy (and not entirely untrue) to say that this is the beginning of the end of consultants, but ChatGPT didn’t write anything that wasn’t already written in thousands of articles, books, and research papers.

Change doesn’t happen just because you know the answer. Change happens when you believe the answer and trust the people leading and walking alongside you on the journey.

3. Eliminate the Suck

Years ago, I spoke with Michael. B Jordan, Pixar’s Head of R&D, and he said something I’ll never forget – “Pain is temporary. Suck is forever.”

He meant this, of course, in the context of making a movie. There are periods of pain in movie-making – long days and nights, times when vast swaths of work get thrown out, moments of brutal and public feedback – but that pain is temporary. The movie you make is forever. And if it sucks, it sucks forever,

Sometimes the work we do is painful but temporary. Sometimes doing the work sucks, and we will need to keep doing it forever. Expense reports. Weekly update emails. Timesheets. These things suck. But they must be done.

Let AI do them and free yourself up to do things that don’t suck. Imagine the conversations you could have, ideas you could try, experiments you could run, and people you could meet if you no longer have to do things that suck.

Change is coming. And that’s good news.

Change can be scary, and it can be difficult. There will be people who lose more than they gain. But, overall, we will gain far more than we lose because of this new technology.

If you have any more doubts, I double-checked with an expert.

“ChatGPT is not a sign of the apocalypse. It is a tool created by humans to assist with language-based tasks. While artificial intelligence and other advanced technologies can bring about significant changes in the way we live and work, they do not necessarily signal the end of the world.”

ChatGPT in response to “Is ChatGPT a sign of the apocalypse?”

Image credit: Pixabay

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The Impact of AI on Human Civilization

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A New Era of Possibility

The Impact of AI on Human Civilization: A New Era of Possibility

GUEST POST from Douglas Ferguson

OpenAI released ChatGPT on Nov 30th, 2022, which has captivated the public due to its applicability to various needs and asks and near-human accuracy at astounding efficiency. AI has traditionally elicited mixed reactions, ranging from excitement and anticipation to fear and hesitation. With the introduction of this revolutionary technology, questions about its implications are beginning to arise. How will this affect knowledge workers? Which career paths are likely to become obsolete? What new knowledge do marketers, creators, programmers, etc. need to acquire to make the most of this changing landscape?

These are valid and important questions to consider, and it is essential that we have open and honest conversations about the potential impacts of AI on the workforce and how its emergence is making us and our co-workers feel. As the workplace continues to evolve and adopt more of these tools, It is critical to explore some common fears people have about AI and discuss ways that individuals and organizations can adapt, maintain the best parts of our humanity, and thrive alongside these technological advancements.

The tools now available to the public are incredibly powerful and are ushering in a momentous time of discovery. The availability of such powerful AI tools has opened up new avenues for discovery and innovation in various fields. GPT-3, Claude, Sparrow, and the technology they will inspire all have the potential to revolutionize the way we communicate, learn, and interact with information. If we approach this game-changing tech with humanity, curiosity, and excitement, we can easily step into a world where AI is not only a tool but also a collaborator.

A common reaction to experiencing the power of AI is a feeling of cheating or that we are replaceable, this leads to discussion and debate about whether people will lose their jobs. It’s important to remind ourselves that this feeling is not new or unique to AI. Consider innovations like the printing press or the internet. While initially seen as disruptive, more opportunity has always been generated than lost. New roles and markets emerge in times of massive change.

One unique thing about AI technologies, in particular, is that there are advancing and improving at an astonishing rate. This means that it’s an exciting time to play and watch and learn what can be done with these tool and how they might shape our work in the future. As we learn more and gain clarity and confidence, we are better suited to experiment with new approaches to our work. From there, we can consider how our jobs might shift and take on new requirements and meanings. If the AI can now automate 80% of your work, what can you do with that 80% that is now gifted back to you? Are you able to spend focus on the 20% that really provided the most value? The part that speak to your humanness?

While many people will shift habits and behaviors, some will shift into complete new roles with new titles that never existed before. We’ve already seen this happen in the AI ecosystem. A role that has specifically caught my attention is the “Prompt Engineer” I fondly like to refer to them as AI Facilitators. If you’ve spent any time with ChatGPT, you’ve learned that getting great results from Chat GPT is similar to getting great results from a room of people you are facilitating. You have to ask GREAT QUESTIONS.

Software companies seeking to add GPT capabilities into their products are hiring Prompt Engineers to create the best prompts for GTP to tailor the responses for their product use cases. Think of it like constructing the perfect MadLib. Consumers of a product will interact with the product and maybe fill in some data or make some requests in the app. The app will then submit that request and data to GTP by inserting the pieces into this perfectly crafted MadLib that will generate the ideal result for the end user. Prompt Engineers design these prompts and Madlib-like structures to get desired outcomes from the AI model.

It’s fun to watch the job boards and careers pages for AI consultancies and AI-forward tech companies to see what trends are emerging around new job titles. Reflecting on these observations and considering what that means for overall trends and how those might emerge in your work can lead to valuable insights. Take a look. What ideas surface for you when you consider potential new roles in this emerging landscape?

If nothing else, remember to be curious! It’s totally normal to feel overwhelmed, confused, scared, frustrated, dubious, and generally concerned. Take time to move past those reactions and cultivate the generative curiosity needed to learn and understand the technology. When we are curious, we see connections that are non-obvious, and when these pathways are illuminated are able to design our future more effortlessly.

Putting It Into Action

As I mentioned previously, questions have always been paramount in facilitation, which is still true for ChatGTP and other language modules. While these tools are amazing, you won’t get far if you don’t know how to ask good questions or know what questions you should be asking. Questions are uniquely human. No other being discovered has this ability. And, when we engage in self-reflection, introspection, and empathy towards others, we connect more deeply with our humanity—leading to a better understanding of our thoughts, emotions, and values as well as how we are connected to those around us. Thoughtful inquiry cultivates a greater sense of awareness, compassion, and connection within our teams, organizations, and, eventually the AIs alongside us.

Master facilitators have spent years honing their skills and developing their ability to attune to and guide the flow of energy, attention, and conflict in a room. Successful facilitation in the future will also require mastering the art of collaborating with machines. Adapting and extending existing practices to maximize new potential with AI will be the norm. In preparation for this new age of collaboration, we’ve started experimenting by employing proven facilitation techniques while interacting with ChatGPT and other tools. The familiarity of the tools provides some comfort and confidence as we experiment with the unknown.

Start with classic facilitative questions to help guide ChatGPT toward your outcomes:

How might we clarify and align the goals and objectives?
How might we identify the tone and perspective?
How might we recognize empathetic requirements that are considerate to our audience?
How might we brainstorm and generate ideas for prompts and test them?
How might we evaluate and prioritize prompts with core values in mind?

If you are a leader, facilitation is key to your work, or you are curious to grow into these areas, start by familiarizing yourself with the capabilities and nuances of the tools. You’ll want to start with any tool-specific tutorials to familiarize yourself with the UI and functions of the tool. Once you are on the tool and ready to start experimenting, take a moment to explore and learn how to craft questions that yield the best outcomes. As with any good question, think about the context of your audience, what do they know, the purpose of your question, what’s the format of a really good response, and even the types of answers you’d like to avoid. Remember that we have spent our entire lives asking, communicating, and presenting questions to other humans, and it will take some time and experimentation to master questions for machines.

I have been experimenting with ChatGPT and have made some progress on how to get the most interesting results.

Always make sure to start with your purpose, and think clearly about why this is important. Find ways to incorporate your why into the questions and prompts you construct for ChatGPT.

Consider the personality of, or style of, the response that might be most valuable to you. Would you like to have your meeting summarized from the perspective of an investigative journalist, Charles Dickens, or Gandhi Think about the tone, attitude, and mindsets you seek to convey.

Remember that ChatGPT is there to perform tasks for you. What is the thing you want it to generate? An essay, a poem, a love letter, a summary, a report, or computer code.

One noteworthy feature of ChatGPT is that it can reference up to approximately 3000 previous words from the conversation. Take advantage of this is beneficial for requesting revisions and getting the tool to generate variations and adaptations until you get results you are happy with. Give it specific instructions on how to improve.

Include specific qualities or requirements you have for defining a good response. This may not be immediately apparent when you first start, and you’ll need to rely on iterating and refining to get the answer you want. Over time you’ll get a handle on the criteria and instructions that are important to you. Save these for the next time you use ChatGPT.

We have created a template laying out these steps in further detail so you can play with ideas and help streamline this process.

ChatGPT has lots of potential but how do we get the most out of it? It’s all about the prompt. Writing and tweaking prompts specific to your needs is key to unlocking the best results. Use this tool template to think through what you’d like to achieve and how to construct the ideal prompt for ChatGPT to get you there.

Collaborating With AI

Practice, practice, practice! Learn to ask the right questions and become more comfortable collaborating with AI. This is key because, eventually, AI will work with us on our teams. We need to become accustomed to how they operate and how they “think”, as it will be different than collaborating with humans. We have generations of experience collaborating with humans, and now is the time to start building that same experience with machines.

Imagine you are on a team of five, four humans and one AI.

What does collaboration with AI look like, and how does it feel?
What questions will the team ask the AI?
How will we learn to work and collaborate in new ways?
What does it mean to invite AI in as a team member?
How might we notice and encourage it to have more ethical and inclusive answers?

Inviting the AI in as a team member means giving it context and teaching it how to work best with us. We can help it learn our culture and values to better align with our mission, vision, and purpose. Building a strategy to incorporate AI as a team member is not unlike working with people in an organization. When a company’s strategy is aligned with its values and purpose, it can create a more meaningful and fulfilling work experience for employees. AI can be an extension of this, reinforcing desired norms and behaviors. Creating a safe environment allowing people to bring their whole selves to work and tap into their innate sense of purpose and connection with others. This can, in turn, help employees lean deeper into their humanity and contribute to a more positive, ethical, and sustainable organizational culture.

Transcending The AI

There are many examples of how technology has allowed us to put aside trivial matters and elevate as humans. AI is currently simplifying tasks of all kinds by efficiently performing mundane tasks on demand. For example, AI design tools are able to nearly eliminate the creation of UI design, allowing designers to spend their time considering the strategy, conceptual design, how to elevate user experience, and how to address accessibility or other concerns. While the simple example is handy for examples sakes, the potential is much greater than just moving from tactical work to strategic work. As these tools advance and provide deeper functionality for us, we will shift into a higher state of work, finding deeper connections and relating at levels never before experienced in the workplace.

Humans are exceptionally adaptable organisms, and the AI revolution is a time that calls for us to lean into that ability. As with any change, we must also be considerate of long-term systemic implications and sustainability of our actions and work. As you embark on your journey, consider the ethics of what you or your organization are asking of the AI. Think about the second and third-order effects of what you are asking. If the AI excels at doing this task, what might result from that and so on and so forth? What are the long-term consequences of that? Finally, consider if we might want to pick a different starting point or provide more conditions to properly guide or constrain the AI.

I’m excited about what the future holds for us. As we explore these times together, join me as I focus on appreciating and respecting the diversity of experiences and perspectives that make us all unique. As we begin to create our first relationships with AI, remember to reach firmly into the deepest depths of our humanity.

Article first published at VoltageControl.com

Image credit: Pixabay

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