Category Archives: collaboration

What Differentiates High Performing Teams

What Differentiates High Performing Teams

GUEST POST from David Burkus

How do you build a high performing team?

If you think like most people, you will start with acquisition. You will start by thinking about how you can convince higher performing people to join the team. But the truth is that the so called “War For Talent” this acquisition mindset kicked off wasn’t worth the cost. It’s not that there’s no such thing as high performing individuals, it’s that high performance is highly dependent on team dynamics. Research from Boris Groysberg and others found that most of individual performance was actually explained by the team dynamics, company resources, and a few other factors outside of the individual’s control.

In other words, talent doesn’t make the team. The team makes the talent.

And when you examine the inner workings of high performing teams, you start to see just how powerful team dynamics truly are. High performing teams do just about everything differently.

And in this article, we’ll outline four specific behaviors high performing teams do differently, as well as the research that supports these behaviors, in order to help you transform the dynamics of your team.

Watch the full video or keep scrolling to read.

Bursty Communication

The first behavior that high performing teams do differently is that they communicate in bursts. You may think that successful teams are in constant communication with each other, or you may tell yourself that as you find yet another meeting added to your calendar. But research from Anita Williams Wooley and Christoph Reidl suggests that high performing teams have calendars marked by long periods of alone time. That’s not to say they don’t communicate, but rather they’ve mastered how to come together quickly, communicate necessary information, and then break apart in order to execute.

If you want to communicate in bursts, consider copying the format of the daily standup or “scrum” from the Agile software development method. In a scrum, team members circle up quickly and give status updates (What did I just complete? What am I focused on next? What’s blocking my progress) before adjourning to focus on work. It doesn’t have to be daily, but a regular burst of status updates that allows teammates to know what’s going on and how they can help would likely achieve everything a 2-hour weekly all-hands does and leaves a lot more time for real work to get done.

Respectful Conflict

The second behavior that high performing teams do differently is that they harness respectful conflict. Successful teams have just as much conflict as lower performing teams, but that conflict feels different—because it is different. A lack of conflict on a team is more often a liability than a strength. Lack of conflict is either a signal that there’s not original thinking on the team, or that there is but those teammates don’t feel psychologically safe enough to express their original thinking.

Respectful conflict means that high performing teams embrace these differences of opinion and debate them in a way that ensures the best solutions are found. Research from Charlan Namath found that teams who used respectful conflict when generating ideas created 25 percent more ideas and generated higher quality ideas as well. Think about that the next time your team must solve a problem. Anytime people actually “think outside the box,” there is going to be conflict. The difference is how leaders, and the whole team, respond to that conflict. You can frame competing ideas as something to push against, or as something that pushes the team to better solutions.

Authentic Connection

The third behavior high performing teams do differently is that they build authentic connections. They work toward a collective understanding that goes beyond knowing each other’s roles and responsibilities, and even beyond knowing each other’s strengths and weaknesses. Instead, successful teams build connection with each other around non-work topics as well. Researcher Jessica Methot calls these connections “multiplex ties” after the multitude of contexts built between different people.

Building multiplex ties means you build commonalities with teammates about multiple facets of their lives. And Methot’s research suggests that the result is higher performance, longer tenure, greater social support, and a host of other benefits. In addition, her research suggests that building authentic connections isn’t about elaborate team-building rituals, instead, it’s about small talk. Those unstructured moments before and after meetings, or the evening after conferences or company events, those are the moments when people self-disclose the multiple facets of their lives and, in doing so, build multiplex ties.

Generous Appreciation

The last behavior that high performing teams do differently is that they offer generous appreciation. There is a constant clement of praise and appreciation running through their discussions—bursty or not. Research from Ron Friedman and his team suggests that individuals on high-performing teams were 44 percent more likely to compliment or give praise to their colleagues and show appreciation for the work their colleagues do on any given day. This is more than just offering a quick round of praise at the monthly meeting or putting compliments on either end of constructive criticism. Instead, generous appreciation comes from a genuine place of appreciating that one’s ability to perform is dependent on others, and that means every individual success is a team-wide win.

How do you build a culture of generous appreciation on your team? You model the way. You praise people regularly and randomly. You catch them doing something right and you praise it publicly. And you even publicly praise when you catch them praising each other as well. The more you praise the right behavior, the more of it you get.

Leading by Example

In fact, modeling the way as a leader is a constant throughout these four behaviors. Because bursty communication requires a team leader who will model the way by structuring (and reducing) meetings to allow for it. Likewise, when conflict arises, teams are looking to the team leader to model the way in responding respectfully. And teams that build authentic connections have leaders who model the way by being authentically interested in the lives of their people. You could say that high performing teams do things differently, because they have leaders who do things differently. And in doing so, those leaders help the team do their best work ever.

Image credit: Pixabay

Originally published at https://davidburkus.com on January 17, 2022

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5 Job Titles That Break the Mold and Fuel an Innovation Culture

5 Job Titles That Break the Mold and Fuel an Innovation Culture

GUEST POST from Robyn Bolton

Fabric & Home Care Marketing

That is the job title on my very first business card.  I remember holding the card in my hands, staring at it for entirely too long, and thinking, “This is sooooo boring.  Even my parents won’t be impressed.”

To be fair to P&G, that was the job title on the business card of everyone in marketing in the business units.  The company didn’t put job titles on the card for security reasons (or at least that’s what my boss told me when I politely asked why my title wasn’t on the card).

I am older now and should have the maturity to accept the bland and nondescript title on my first business card.  But I’m not.  It’s still boring, and it shouldn’t be because we were working on innovation projects with code names and outfoxing corporate spies in the airport (another story for another post).  We were doing cool stuff and should have cool titles to show for it!

So, to right the wrong inflicted upon me and the countless others stuck with boring job titles despite doing brave, bold, and daring things, today is Make Your Own Title Day (business cards not included)

Intrapreneur

PRO: Short and sweet with a great original definition – “dreamers who do”

CON: Everyone will think you misspelled Entrepreneur

Pirates in the Navy

PRO: Title of a book by one of the foremost thinkers in the field of corporate innovation and a phrase inspired by Steve Jobs’ statement that it’s better to be a pirate than be in the Navy.  It also creates the excuse to wear an eyepatch, talk like a pirate, and keep a parrot in the office.

CON: People are afraid of pirates.  You don’t want people to be scared of you.

Rebel Smuggler

PRO: Also the basis of a book with the benefit of being a cool title that doesn’t scare people.  Plus, who wanted this to describe them:

Whether you’re are a Rebel in a functional company or a Smuggler in a dysfunctional company, you are the essential part of any transition.  You are the catalyst that transforms the caterpillar into a butterfly.  You disrupt the status quo and create opportunities for growth,

You are not the caterpillar nor the butterfly.  You are the magic that prompts the transition.”Natalie Neelan, Rebel At Work: How to Innovate and Drive Results When You Aren’t the Boss

CON: Legal and Corporate Security may not love the “Smuggler” part of the title

Tempered Radical

PRO: A more “professional” version of Rebel Smuggler, and it’s a term used in HBR, so you know it’s legit.  Here’s how they’re described:

They all see things a bit differently from the “norm.” But despite feeling at odds with aspects of the prevailing culture, they genuinely like their jobs and want to continue to succeed in them, to effectively use their differences as the impetus for constructive change. They believe that direct, angry confrontation will get them nowhere, but they don’t sit by and allow frustration to fester. Rather, they work quietly to challenge prevailing wisdom and gently provoke their organizational cultures to adapt. I call such change agents tempered radicals because they work to effect significant changes in moderate ways.Debra Meyerson, “Radical Change, the Quiet Way” in HBR (October 2001)

CON: Sometimes working quietly doesn’t work.  Sometimes, you need to make a ruckus. 

[YOUR TITLE HERE]

What title do you want to give yourself and other innovators?

Drop your suggestion in the comments (and feel free to print up new business cards)!

Image credit: Pexels

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This One Word Will Transform Your Approach to Innovation

This One Word Will Transform Your Approach to Innovation

GUEST POST from Robyn Bolton

Have you heard any of these sentences recently?

“We don’t have time”

“Our people don’t have the skills”

“We don’t have the budget”

“That’s not what we do”

I hear them all the time.  

Sometimes they’re said when a company is starting to invest in building their innovation capabilities, sometimes during one-on-one stakeholder interviews when people feel freer to share their honest opinions, and sometimes well after investments are made.

Every single time, they are the beginning of the end for innovation.

But one word that can change that.

“We don’t have time – yet.”

“Our people don’t have the skills – yet.”

“We don’t have the budget – yet.”

“That’s not what we do – yet.”

Yet.

Yet creates space for change.  It acknowledges that you’re in the middle of a journey, not the end.  It encourages conversation.

“We don’t have time – yet.”

“OK, I know the team is busy and that what they’re working on is important.  Let’s look at what people are working on and see if there are things we can delay or stop to create room for this.”

“Our people don’t have the skills – yet.”

“Understand, we’re all building new skills when it comes to innovation.  Good news, skills can be learned.  Let’s discuss what we need to teach people and the best way to do that.”

“We don’t have the budget – yet.”

“I get it.  Things are tight. We know this is a priority so let’s look at the budget and see if there’s a way to free up some cash.  If there’s not, then we’ll go back to leadership and ask for guidance.”

“That’s not what we do – yet.”

“I know.  Remember, we’re not doing this on a whim, we’re doing this because (fill in reason), and we have a right to do it because of (fill in past success, current strength, or competitive advantage.”

You need to introduce the YET.

It is very rare for people to add “yet” to their statements.  But you can.

When someone utters an innovation-killing statement, respond with “Yet.” Maybe smile mischievously and then repeat their statement with “yet” added to the end.

After all, you’re not disagreeing with them. You’re simply qualifying what they’re saying.  Their statement is true now, but that doesn’t mean it will be true forever.  By restating their assertion and adding “yet,” you’re inviting them to be part of the change, to take an active role in creating the new future state.

There’s a tremendous amount of research about the massive impact of this little word.  It helps underperforming students overachieve and is closely associated with Dr. Carol Dweck’s research into fixed and learning mindsets.

The bottom line is that “YET” works.

Put YET to work for you, your organization, and your efforts to innovate and grow.

Image credit: Unsplash

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Five Secrets to Being a Great Team Player

Five Secrets to Being a Great Team Player

GUEST POST from David Burkus

Our world requires collaboration. Just about every job now requires collaborating on teams and every employee’s calendar is full of evidence of collaboration. In one study, up to 85% of participants’ work weeks were spent working in direct collaboration or a result of collaboration with a team.

But it can be difficult to collaborate with people whose perspectives, preferences, and personalities are different from our own. Still, getting what you want from your work and career requires being a great team player. And if you want to be a leader, you’ll need to be a great team player first. (And really…that will never stop…even leaders often lead in teams.)

In this article, we’ll outline the five (5) essential qualities needed to become a great team player—and offer a few ways to develop those qualities and get them noticed.

1. Capable

The first quality is that great team players are capable. This is a fundamental quality of anyone working, really. You must have the necessary knowledge, skills, and abilities to do the tasks being asked of you. But on teams, it’s just as important to be seen as capable by the other members of your team. The team needs to know they can rely on you—and that when you say you’ll have something completed it will be completed on time and as you said.

Working with teams, the way you demonstrate your capability is two-fold: Do what you say you’re going to do, and don’t say something you don’t know to be true. Over time, keeping these two commitments will demonstrate that you can be relied on—because you are capable.

2. Humble

The second quality is that great team players are humble. While great team players are capable, they also don’t think too highly of the skills and knowledge they have. Great team players don’t think little of themselves, they just understand that the needs of the team come before their own. Humble teammates aren’t fighting for their ideas to be heard all the time or seeking to dominate in debates. Instead, they use their voice to amplify others and contribute the bigger, team-wide wins.

Working with teams, humility is often inferred based on behavior in meetings, whether in-person or virtual. Humble teammates aren’t trying to be the lead role in the meeting, instead they’re often acting as a facilitator ensuring every teammate has a chance to speak. And when they do speak, it’s often to build upon others’ ideas instead of constantly insisting on their own.

3. Helpful

The third quality is that great team players are helpful. The best way to put capabilities and humility into practice is by helping others on the team—not constantly trying to convince others to help you. Great team players are the ones in meetings thinking about what they can contribute and how they can help others get unstuck. At the same time, it’s important to be careful not to over-help and lose the needed time to complete your own commitments.

Working with teams, the easiest way to assess your helpfulness is to audit your calendar. Look at everything scheduled on your calendar last week and compared the appointments that furthered your personal goals versus the appointments that helped others hit their goals. You don’t want helpful appointments to dominate, or even be half and half. But if 25 percent of your calendar is spent helping others, then it’s a safe assumption that they see you as helpful.

4. Flexible

The fourth quality is that great team players are flexible. As teams work to complete projects, changes will happen—pivots are required. All work requires flexibility. But often in the face of change many people respond by becoming more stubborn and insisting even more on their original ideas or plan of action. Great team players serve the team by reading the changes in the environment and helping the plan pivot quickly.

Working with teams, the most common changes that require flexibility often happen around priorities. New tasks get added to the team’s list, or environmental changes reshuffle what is urgent. When that happens, taking the lead to check-in with the team and discuss how changes affect priorities can keep the team more productive and keep you seen as a flexible, but high performer.

5. Purposeful

The fifth quality is that great team players are purposeful. All great teams have a sense of purpose behind their work—they know why their work matters and that keeps them bonded together and motivated to achieve more. Great team players amplify this purpose by becoming a source of supporting stories and constant reminders about that purpose. This includes not just talking about why the work that team does matters, but also how it fits into the larger mission or vision of the organization and why that matters.

Working with teams, the easiest way to reinforce purpose is to share gratitude on a regular basis. But not just any old thank you note. Purposeful gratitude expresses appreciation for the effort someone else put in, but also includes a reminder of how that effort helped serve the purpose of the team. Regularly done, it not only builds camaraderie amongst the team, but it also enhances motivation.

As you review this list, one or two qualities probably stood out as ones you already embodied—but one or two probably stood out as ones you need to work on. That’s true for nearly everyone, and it creates a great plan of action. Get started improving where you need to—and get started getting noticed where you already shine. That will help you not only raise your own performance, but help support everyone else on the team as they do their best work ever.

Image credit: Unsplash

Originally published at https://davidburkus.com on April 10, 2023

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Eddie Van Halen, Simultaneous Innovation and the AI Regulation Conundrum

Eddie Van Halen, Simultaneous Innovation and the AI Regulation Conundrum

GUEST POST from Pete Foley

It’s great to have an excuse to post an Eddie Van Halen video to the innovation community.  It’s of course fun just to watch Eddie, but I also have a deeper, innovation relevant reason for doing so.

Art & Science:  I’m a passionate believer in cross-pollination between art and science.  And I especially believe we can learn a great deal from artists and musicians like Eddie who have innovated consistently over a career.  Dig into their processes, and we see serial innovators like The Beatles, Picasso, Elton John, Bowie, George Martin, Freddie Mercury, William Gibson, Lady Gaga, Paul Simon and so many others apply techniques that are highly applicable to all innovation fields. Techniques such as analogy, conceptual blending, collaboration, reapplication, boundary stretching, risk taking, learning from failure and T-Shaped innovation all crop up fairly consistently.  And these creative approaches are typically also built upon deep expertise, passion, motivation, and an ability to connect with future consumer needs, and to tap into early adopters and passionate consumers.  For me at least, that’s a pretty good innovation toolkit for innovation in any field.  Now, to be fair, often their process is intuitive, and many truly prolific artists are lucky enough to automatically and intuitively ‘think that way’. But understanding and then stealing some of their techniques, either implicit or explicit, can be a great way to both jump-start our own innovative processes, and also to understand how innovation works. As Picasso said, ‘great artists steal’, but I’d argue that so do good innovators, at least within the bounds allowed by the patent literature!

In the past I’ve written quite a lot about Picasso and The Beatles use of conceptual blending, Paul Simon’s analogies, reapplication and collaboration, Bowie’s innovative courage, and William Gibson’s ability to project s-curves.  Today, I’d like to to focus on some insights I see in the guitar innovations of Eddie.   

(a) Parallel or Simultaneous Innovation.  I suspect this is one of the most important yet under-appreciated concepts in innovation today. Virtually every innovation is built upon the shoulders of giants. Past innovations provide the foundation for future ones, to the point where once the pieces of the puzzle are in place, many innovations become inevitable. It still takes an agile and creative mind to come up with innovative ideas, but contemporary innovations often set the stage for the next leap forward. And this applies both to the innovative process, and also to a customers ability to understand and embrace it. The design of the first skyscraper was innovative, but it was made a lot more obvious by the construction of the Eiffel Tower. The ubiquitous mobile phone may now seem obvious, but it owes its existence to a very long list of enabling technologies that paved the way for it’s invention, from electricity to chips to Wi-Fi, etc.

The outcome of this ‘stage setting’ is that often even really big innovations occur simultaneously yet independently.  We’ve seen this play out with calculus (independently developed by Newton and Leibnitz), the atomic bomb, where Oppenheimer and company only just beat the Nazi’s, the theory of evolution, the invention of the thermometer, nylon and so many others.  We even see it in evolution, where scavenger birds vultures and condors superficially appear quite similar due to adaptations that allow them to eat carrion, but actually have quite different genetic lineages.  Similarly many marsupials look very similar to placental mammals that fill similar ecological niches, but typically evolved independently. Context has a huge impact on innovation, and similar contexts typical create parallel, and often similar innovations. As the world becomes more interconnected, and context becomes more homogenized, we are going to see more and more examples of simultaneous innovation.

Faster and More Competitive Innovation:  Today social media, search technology and the web mean that more people know more of the same ‘stuff’ more quickly than before.  This near instantaneous and democratized access to the latest knowledge sets the scene and context for a next generation of innovation that is faster and more competitive than we’ve ever seen.   More people have access to the pieces of the puzzle far more quickly than ever before; background information that acts as a precursor for the next innovative leap. Eddie had to go and watch Jimmy Paige live and in person to get his inspiration for ‘tapping’.  Today he, and a few million others would simply need to go onto YouTube.  He therefore discovered Paige’s hammer-on years after Paige started using them.  Today it would likely be days.  That acceleration of ‘innovation context’ has a couple of major implications: 

1.  If you think you’ve just come up with something new, it’s more than likely that several other people have too, or will do so very soon.   More than ever before you are more than likely in a race from the moment you have an idea! So snooze and you loose. Assume several others are working on the same idea.

2.  Regulating Innovation is becoming really, really difficult.  I think this is possibly the most profound implication.  For example, a very current and somewhat contentious topic today is if and how we should regulate AI.  And it’s a pretty big decision. We really don’t know how AI will evolve, but it is certainly moving very quickly, and comes with the potential for earthshaking pros and cons.  It is also almost inevitably subject to simultaneous invention.  So many people are working on it, and so much adjacent innovation is occurring, that it’s somewhat unlikely that any single group is going to get very far out in front.   The proverbial cat is out of the bag, and the race is on. The issue for regulation then becomes painfully obvious.   Unless we can somehow implement universal regulation, then any regulations simply slow down those who follow the rules.  This unfortunately opens the doors to bad actors taking the lead, and controlling potentially devastating technology.

So we are somewhat damned if we do, and damned if we don’t.  If we don’t regulate, then we run the risk of potentially dangerous technology getting out of control.  But if do regulate, we run the risk of enabling bad actors to own that dangerous technology.  We’ve of course been here before.  The race for the nuclear bomb between the Allies and the Nazi’s was a great example of simultaneous innovation with potentially catastrophic outcomes.   Imagine if we’d decided fission was simply too dangerous, and regulated it’s development to the point where the Nazi’s had got there first.  We’d likely be living in a very different world today!  Much like AI, it was a tough decision, as without regulation, there was a small but possible scenario where the outcome could have been devastating.    

Today we have a raft of rapidly evolving technologies that I’d both love to regulate, but am also profoundly worried about the unintended consequences of doing so.  AI of course, but also genetic engineering, gene manipulating medicines, even climate mediation and behavioral science!  With respect to the latter, the better we get at nudging behavior, and the more reach we have with those techniques, the more dangerous miss-use becomes.  

The core problem underlying all of this is that we are human.   Most people try to do the right thing, but there are always bad actors.  And even those trying to do the right thing all too often get it wrong.  And the more democratized access to cutting edge insight becomes, parallel innovation means the more contenders we have for mistakes and bad bad choices, intentional or unintentional. 

(b) Innovation versus Invention:  A less dramatic, but I think similarly interesting insight we can draw from Eddie lies in the difference between innovation and invention He certainly wasn’t the first guitarist to use the tapping technique.  That goes back centuries! At least as far as classical composer Paganini, and it was a required technique for playing the Chapman stick in the 1970’s, popularized by the great Tony Levin in King Crimson. It was also widely, albeit sparingly (and often obscurely) used by jazz guitarists in the 1950’s and 60’s. But Eddie was the first to feature it, and turn it into a meaningful innovation in of itself. Until him, nobody had packaged the technique in a way that it could be ‘marketed’ and ‘sold’ as a viable product. He found the killer application, made it his own, and made it a ‘thing’. I would therefore argue that he wasn’t the inventor, but he was the ‘innovator’.  This points to the value of innovation over invention.  If you don’t have the capability or the partners to turn an invention into something useful, its still just an idea.   Invention is a critical part of the broader innovation process, but in isolation it’s more curiosity than useful. Innovation is about reduction to practice and communication as well a great ideas

Art & science:  I love the arts.  I play guitar, paint, and photograph.  It’s a lot of fun, and provides a invaluable outlet from the stresses involved in business and innovation.  But as I suggested at the beginning, a lot of the boundaries we place between art and science, and by extension business, are artificial and counter-productive. Some of my most productive collaborations as a scientist have been with designers and artists. As a visual scientist, I’ve found that artists often intuitively have a command of attentional insights that our cutting edge science is still trying to understand.  It’s a lot of fun to watch Eddie Van Halen, but learning from great artists like him can, via analogy, also be surprisingly insightful and instructive.   

Image credits: Unsplash

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AI and Human Creativity Solving Complex Problems Together

AI and Human Creativity Solving Complex Problems Together

GUEST POST from Janet Sernack

A recent McKinsey Leading Off – Essentials for leaders and those they lead email newsletter, referred to an article “The organization of the future: Enabled by gen AI, driven by people” which stated that digitization, automation, and AI will reshape whole industries and every enterprise. The article elaborated further by saying that, in terms of magnitude, the challenge is akin to coping with the large-scale shift from agricultural work to manufacturing that occurred in the early 20th century in North America and Europe, and more recently in China. This shift was powered by the defining trait of our species, our human creativity, which is at the heart of all creative problem-solving endeavors, where innovation is the engine of growth, no matter, what the context.

Moving into Unchartered Job and Skills Territory

We don’t yet know what exact technological, or soft skills, new occupations, or jobs will be required in this fast-moving transformation, or how we might further advance generative AI, digitization, and automation.

We also don’t know how AI will impact the need for humans to tap even more into the defining trait of our species, our human creativity. To enable us to become more imaginative, curious, and creative in the way we solve some of the world’s greatest challenges and most complex and pressing problems, and transform them into innovative solutions.

We can be proactive by asking these two generative questions:

  • What if the true potential of AI lies in embracing its ability to augment human creativity and aid innovation, especially in enhancing creative problem solving, at all levels of civil society, instead of avoiding it? (Ideascale)
  • How might we develop AI as a creative thinking partner to effect profound change, and create innovative solutions that help us build a more equitable and sustainable planet for all humanity? (Hal Gregersen)

Because our human creativity is at the heart of creative problem-solving, and innovation is the engine of growth, competitiveness, and profound and positive change.

Developing a Co-Creative Thinking Partnership

In a recent article in the Harvard Business Review “AI Can Help You Ask Better Questions – and Solve Bigger Problems” by Hal Gregersen and Nicola Morini Bianzino, they state:

“Artificial intelligence may be superhuman in some ways, but it also has considerable weaknesses. For starters, the technology is fundamentally backward-looking, trained on yesterday’s data – and the future might not look anything like the past. What’s more, inaccurate or otherwise flawed training data (for instance, data skewed by inherent biases) produces poor outcomes.”

The authors say that dealing with this issue requires people to manage this limitation if they are going to treat AI as a creative-thinking partner in solving complex problems, that enable people to live healthy and happy lives and to co-create an equitable and sustainable planet.

We can achieve this by focusing on specific areas where the human brain and machines might possibly complement one another to co-create the systemic changes the world badly needs through creative problem-solving.

  • A double-edged sword

This perspective is further complimented by a recent Boston Consulting Group article  “How people can create-and destroy value- with generative AI” where they found that the adoption of generative AI is, in fact, a double-edged sword.

In an experiment, participants using GPT-4 for creative product innovation outperformed the control group (those who completed the task without using GPT-4) by 40%. But for business problem solving, using GPT-4 resulted in performance that was 23% lower than that of the control group.

“Perhaps somewhat counterintuitively, current GenAI models tend to do better on the first type of task; it is easier for LLMs to come up with creative, novel, or useful ideas based on the vast amounts of data on which they have been trained. Where there’s more room for error is when LLMs are asked to weigh nuanced qualitative and quantitative data to answer a complex question. Given this shortcoming, we as researchers knew that GPT-4 was likely to mislead participants if they relied completely on the tool, and not also on their own judgment, to arrive at the solution to the business problem-solving task (this task had a “right” answer)”.

  • Taking the path of least resistance

In McKinsey’s Top Ten Reports This Quarter blog, seven out of the ten articles relate specifically to generative AI: technology trends, state of AI, future of work, future of AI, the new AI playbook, questions to ask about AI and healthcare and AI.

As it is the most dominant topic across the board globally, if we are not both vigilant and intentional, a myopic focus on this one significant technology will take us all down the path of least resistance – where our energy will move to where it is easiest to go.  Rather than being like a river, which takes the path of least resistance to its surrounding terrain, and not by taking a strategic and systemic perspective, we will always go, and end up, where we have always gone.

  • Living our lives forwards

According to the Boston Consulting Group article:

“The primary locus of human-driven value creation lies not in enhancing generative AI where it is already great, but in focusing on tasks beyond the frontier of the technology’s core competencies.”

This means that a whole lot of other variables need to be at play, and a newly emerging set of human skills, especially in creative problem solving, need to be developed to maximize the most value from generative AI, to generate the most imaginative, novel and value adding landing strips of the future.

Creative Problem Solving

In my previous blog posts “Imagination versus Knowledge” and “Why Successful Innovators Are Curious Like Cats” we shared that we are in the midst of a “Sputnik Moment” where we have the opportunity to advance our human creativity.

This human creativity is inside all of us, it involves the process of bringing something new into being, that is original, surprising useful, or desirable, in ways that add value to the quality of people’s lives, in ways they appreciate and cherish.

  • Taking a both/and approach

Our human creativity will be paralysed, if we focus our attention and intention only on the technology, and on the financial gains or potential profits we will get from it, and if we exclude the possibilities of a co-creative thinking partnership with the technology.

To deeply engage people in true creative problem solving – and involving them in impacting positively on our crucial relationships and connectedness, with one another and with the natural world, and the planet.

  • A marriage between creatives, technologists, and humanities

In a recent Fast Company video presentation, “Innovating Imagination: How Airbnb Is Using AI to Foster Creativity” Brian Chesky CEO of Airbnb, states that we need to consider and focus our attention and intention on discovering what is good for people.

To develop a “marriage between creatives, technologists, and the humanities” that brings the human out and doesn’t let technology overtake our human element.

Developing Creative Problem-Solving Skills

At ImagineNation, we teach, mentor, and coach clients in creative problem-solving, through developing their Generative Discovery skills.

This involves developing an open and active mind and heart, by becoming flexible, adaptive, and playful in the ways we engage and focus our human creativity in the four stages of creative problem-solving.

Including sensing, perceiving, and enabling people to deeply listen, inquire, question, and debate from the edges of temporarily hidden or emerging fields of the future.

To know how to emerge, diverge, and converge creative insights, collective breakthroughs, an ideation process, and cognitive and emotional agility shifts to:

  • Deepen our attending, observing, and discerning capabilities to consciously connect with, explore, and discover possibilities that create tension and cognitive dissonance to disrupt and challenge the status quo, and other conventional thinking and feeling processes.
  • Create cracks, openings, and creative thresholds by asking generative questions to push the boundaries, and challenge assumptions and mental and emotional models to pull people towards evoking, provoking, and generating boldly creative ideas.
  • Unleash possibilities, and opportunities for creative problem solving to contribute towards generating innovative solutions to complex problems, and pressing challenges, that may not have been previously imagined.

Experimenting with the generative discovery skill set enables us to juggle multiple theories, models, and strategies to create and plan in an emergent, and non-linear way through creative problem-solving.

As stated by Hal Gregersen:

“Partnering with the technology in this way can help people ask smarter questions, making them better problem solvers and breakthrough innovators.”

Succeeding in the Age of AI

We know that Generative AI will change much of what we do and how we do it, in ways that we cannot yet anticipate.

Success in the age of AI will largely depend on our ability to learn and change faster than we ever have before, in ways that preserve our well-being, connectedness, imagination, curiosity, human creativity, and our collective humanity through partnering with generative AI in the creative problem-solving process.

Find Out More About Our Work at ImagineNation™

Find out about our collective, learning products and tools, including The Coach for Innovators, Leaders, and Teams Certified Program, presented by Janet Sernack, is a collaborative, intimate, and deeply personalized innovation coaching and learning program, supported by a global group of peers over 9-weeks, which can be customised as a bespoke corporate learning program.

It is a blended and transformational change and learning program that will give you a deep understanding of the language, principles, and applications of an ecosystem focus, human-centric approach, and emergent structure (Theory U) to innovation, and upskill people and teams and develop their future fitness, within your unique innovation context. Find out more about our products and tools.

Image Credit: Pixabay

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Sometimes You Should Collaborate Instead of Compete

Sometimes You Should Collaborate Instead of Compete

GUEST POST from Greg Satell

Boeing and Airbus are arch-rivals, competing vigorously over decades for supremacy in the global aviation market, much like DowDupont and BASF do in chemicals. Yet all of these companies, along with many others, collaborate at places like the Composites Institute (IACMI). They do this not out of any altruism, of course, but self-interest.

It is at places like the Composites Institute that profit-driven companies can explore the future with top notch scientists from places like Oak Ridge National Laboratory, Michigan State University and Purdue as well as dozens of smaller companies active in the space. To not participate would be to risk being cut out of important developments.

This type of activity is not entirely new. In the 80s, semiconductor firms, along with the Department of Defense, created SEMATECH to regain competitiveness against foreign competition, while still fighting it out in the marketplace. The truth is that sometimes you need to collaborate and sometimes you have to compete. Here’s how to know the difference.

The Value Chain and Competitive Advantage

In Michael Porter’s landmark book, Competitive Advantage, the Harvard professor argued that the key to long-term success was to dominate the value chain by maximizing bargaining power among suppliers, customers, new market entrants and substitute goods. The goal was to create a sustainable competitive advantage your rivals couldn’t hope to match.

Porter’s ideas dominated thinking in corporate strategy for decades, yet they had a fatal flaw that wasn’t always obvious. Thinking in terms of value chains is viable when technology is relatively static, but when the marketplace is rapidly evolving it can get you locked out of important ecosystems and greatly diminish your ability to compete.

To understand why, consider open-source software. When Linux first rose to prominence, Microsoft CEO Steve Ballmer called it a cancer. Yet more recently, its current CEO announced that the company loves Linux. That didn’t happen out of any sort of newfound benevolence, but because it recognized that it couldn’t continue to shut itself out and compete.

To thrive in an ecosystem driven world, you must constantly widen and deepen connections. Instead of always looking to maximize bargaining power, you need to look for opportunities to co-create with customers and suppliers, to integrate your products and services with potential substitutes and to form partnerships with new market entrants.

A New Era Of Innovation

The philosopher Martin Heidegger argued that technological advancement is a process of revealing and building. Scientists reveal new phenomena through exploration and experiment and then later engineers figure out how to channel these phenomena to some specific use. For example, the advancements in theoretical physics revealed in the 1920s and 30s were channeled into transistors and microchips later on.

Eventually, the new technology and its implications are understood well enough to support broad adoption and a transformational period ensues. The need for revealing lessens greatly and value shifts towards building rapidly for use. We have seen much of this in the last 30 years as the digital revolution has shifted its emphasis toward skills like rapid prototyping and iteration.

Yet every technology eventually hits theoretical limits and that’s where we are now with respect to digital technology. The fact is that atoms are only so small and the speed of light is only so fast. So that limits how many transistors can fit on a silicon wafer and how fast we can compute by zipping electrons through them. Make no mistake, the future will not be digital.

So we need to embark on a new cycle of revealing and building in areas like quantum computing, synthetic biology and materials science. These things cannot be rapidly prototyped because we simply don’t understand them well enough yet. We need to explore them to reveal and, eventually, to begin building in earnest once again.

Emerging Platforms For Collaboration

Now we can understand why Boeing and Airbus are happy to join organizations like the Composite Institute. Both need to explore and neither can go it alone. They need partners, like research universities, government labs and other firms to help them uncover new things. As open source enthusiasts are fond of saying, “with enough eyeballs, all bugs are shallow.”

Yet the Composites Institute is just one node in the network of Manufacturing Institutes set up under the Obama Administration to support this type of collaboration. In areas ranging from advanced fabrics and biofabrication to additive manufacturing and wide-gap semiconductors, firms large and small are working with scientists to uncover new principles.

To understand how different this is from earlier eras, consider the case of IBM. When it developed the PC, it did so largely in secret with a skunk works the company set up in Florida. With quantum computing, however, it has built up an expansive network of collaborators, including labs, customers and startups.

They don’t do this out of any newfound altruism, but because it significantly speeds up the exploration process. As George Crabtree, Director of JCESR, a consortium of national labs, research universities and private firms developing advanced battery technology, put it to me. “Usually discovery propagates at the speed of publication, but here, we can operate within the time frame of the next coffee break.”

Innovation Is Never A Single Event

All too often, we view innovation as the work of a single genius who, in a moment of sudden epiphany, conjures up an idea that changes the world. In reality, things never work like that. Innovation is never a single event, but a process of discovery, engineering and transformation, which usually takes about 30 years to create a significant impact.

It’s important to note, however, that in no way means it takes 30 years to develop an innovative product. Far from it, in fact. What it means is that the next big thing is usually already about 29 years old! The truth is that the next big thing always starts out looking like nothing at all. That’s why it is crucial to invest in exploration to reveal it.

As we have seen, exploration is best done in numbers. Businesses today, such as in the semiconductor industry, that rely on the principles of quantum mechanics revealed in the 1920s and 30s were in no way harmed by the fact that those discoveries were published openly and taught in universities. In fact, they greatly benefitted from it.

Yet the products built on those principles are highly proprietary and the secrets behind the design of those products are closely guarded. That’s the key to navigating collaboration and competition. You collaborate to reveal, but compete to develop and build. To build a great enterprise, you need to learn to do both zealously.

— Article courtesy of the Digital Tonto blog and previously appeared on Inc.com
— Image credit: Unsplash

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An Innovation Rant: Just Because You Can Doesn’t Mean You Should

An Innovation Rant: Just Because You Can Doesn’t Mean You Should

GUEST POST from Robyn Bolton

Why are people so concerned about, afraid of, or resistant to new things?

Innovation, by its very nature, is good.  It is something new that creates value.

Naturally, the answer has nothing to do with innovation.

It has everything to do with how we experience it. 

And innovation without humanity is a very bad experience.

Over the last several weeks, I’ve heard so many stories of inhuman innovation that I have said, “I hate innovation” more than once.

Of course, I don’t mean that (I would be at an extraordinary career crossroads if I did).  What I mean is that I hate the choices we make about how to use innovation. 

Just because AI can filter resumes doesn’t mean you should remove humans from the process.

Years ago, I oversaw recruiting for a small consulting firm of about 50 people.  I was a full-time project manager, but given our size, everyone was expected to pitch in and take on extra responsibilities.  Because of our founder, we received more resumes than most firms our size, so I usually spent 2 to 3 hours a week reviewing them and responding to applicants.  It was usually boring, sometimes hilarious, and always essential because of our people-based business.

Would I have loved to have an AI system sort through the resumes for me?  Absolutely!

Would we have missed out on incredible talent because they weren’t out “type?”  Absolutely!

AI judges a resume based on keywords and other factors you program in.  This probably means that it filters out people who worked in multiple industries, aren’t following a traditional career path, or don’t have the right degree.

This also means that you are not accessing people who bring a new perspective to your business, who can make the non-obvious connections that drive innovation and growth, and who bring unique skills and experiences to your team and its ideas.

If you permit AI to find all your talent, pretty soon, the only talent you’ll have is AI.

Just because you can ghost people doesn’t mean you should.

Rejection sucks.  When you reject someone, and they take it well, you still feel a bit icky and sad.  When they don’t take it well, as one of my colleagues said when viewing a response from a candidate who did not take the decision well, “I feel like I was just assaulted by a bag of feathers.  I’m not hurt.  I’m just shocked.”

So, I understand ghosting feels like the better option.  It’s not.  At best, it’s lazy, and at worst, it’s selfish.  Especially if you’re a big company using AI to screen resumes. 

It’s not hard to add a function that triggers a standard rejection email when the AI filters someone out.  It’s not that hard to have a pre-programmed email that can quickly be clicked and sent when a human makes a decision.

The Golden Rule – do unto others as you would have done unto you – doesn’t apply to AI.  It does apply to you.

Just because you can stack bots on bots doesn’t mean you should.

At this point, we all know that our first interaction with customer service will be with a bot.  Whether it’s an online chatbot or an automated phone tree, the journey to a human is often long and frustrating. Fine.  We don’t like it, but we don’t have a choice.

But when a bot transfers us to a bot masquerading as a person?  Do you hate your customers that much?

Some companies do, as my husband and I discovered.  I was on the phone with one company trying to resolve a problem, and he was in a completely different part of the house on the phone with another company trying to fix a separate issue.  When I wandered to the room where my husband was to get information that the “person” I was talking to needed, I noticed he was on hold.  Then he started staring at me funny (not as unusual as you might think).  Then he asked me to put my call on speaker (that was unusual).  After listening for a few minutes, he said, “I’m talking to the same woman.”

He was right.  As we listened to each other’s calls, we heard the same “woman” with the same tenor of voice, unusual cadence of speech, and indecipherable accent.  We were talking to a bot.  It was not helpful.  It took each of us several days and several more calls to finally reach humans.  When that happened, our issues were resolved in minutes.

Just because innovation can doesn’t mean you should allow it to.

You are a human.  You know more than the machine knows (for now).

You are interacting with other humans who, like you, have a right to be treated with respect.

If you forget these things – how important you and your choices are and how you want to be treated – you won’t have to worry about AI taking your job.  You already gave it away.

Image Credit: Pexels

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An Innovation Lesson From The Rolling Stones

An Innovation Lesson From The Rolling Stones

GUEST POST from Robyn Bolton

If you’re like most people, you’ve faced disappointment. Maybe the love of your life didn’t return your affection, you didn’t get into your dream college, or you were passed over for promotion.  It hurts.  And sometimes, that hurt lingers for a long time.

Until one day, something happens, and you realize your disappointment was a gift.  You meet the true love of your life while attending college at your fallback school, and years later, when you get passed over for promotion, the two of you quit your jobs, pursue your dreams, and live happily ever after. Or something like that.

We all experience disappointment.  We also all get to choose whether we stay there, lamenting the loss of what coulda shoulda woulda been, or we can persevere, putting one foot in front of the other and playing The Rolling Stones on repeat:

“You can’t always get what you want

But if you try sometimes, well, you might just find

You get what you need”

That’s life.

That’s also innovation.

As innovators, especially leaders of innovators, we rarely get what we want.  But we always get what we need (whether we like it or not)

We want to know. 
We need to be comfortable not knowing.

Most of us want to know the answer because if we know the answer, there is no risk. There is no chance of being wrong, embarrassed, judged, or punished.  But if there is no risk, there is no growth, expansion, or discovery.

Innovation is something new that creates value. If you know everything, you can’t innovate.

As innovators, we need to be comfortable not knowing.  When we admit to ourselves that we don’t know something, we open our minds to new information, new perspectives, and new opportunities. When we say we don’t know, we give others permission to be curious, learn, and create. 

We want the creative genius and billion-dollar idea. 
We need the team and the steady stream of big ideas.

We want to believe that one person blessed with sufficient time, money, and genius can change the world.  Some people like to believe they are that person, and most of us think we can hire that person, and when we do find that person and give them the resources they need, they will give us the billion-dollar idea that transforms our company, disrupts the industry, and change the world.

Innovation isn’t magic.  Innovation is team work.

We need other people to help us see what we can’t and do what we struggle to do.  The idea-person needs the optimizer to bring her idea to life, and the optimizer needs the idea-person so he has a starting point.  We need lots of ideas because most won’t work, but we don’t know which ones those are, so we prototype, experiment, assess, and refine our way to the ones that will succeed.   

We want to be special.
We need to be equal.

We want to work on the latest and most cutting-edge technology and discuss it using terms that no one outside of Innovation understands. We want our work to be on stage, oohed and aahed over on analyst calls, and talked about with envy and reverence in every meeting. We want to be the cool kids, strutting around our super hip offices in our hoodies and flip-flops or calling into the meeting from Burning Man. 

Innovation isn’t about you.  It’s about serving others.

As innovators, we create value by solving problems.  But we can’t do it alone.  We need experienced operators who can quickly spot design flaws and propose modifications.  We need accountants and attorneys who instantly see risks and help you navigate around them.  We need people to help us bring our ideas to life, but that won’t happen if we act like we’re different or better.  Just as we work in service to our customers, we must also work in service to our colleagues by working with them, listening, compromising, and offering help.

What about you?
What do you want?
What are you learning you need?

Image Credit: Unsplash

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Curiosity and Collaboration in the Escape Room Adventure Playground

Curiosity and Collaboration in the Escape Room Adventure Playground

GUEST POST from Leo Chan

When’s the last time you felt curious? When’s the last time you fully immersed yourself in curiosity?

For me, it was this past weekend, during my escape room experience at Escape Games Canada

It’s only my second time with escape rooms. My first wasn’t positive. I actually really disliked it.

In reflection, I believe it was because I was too in my head and didn’t lean into curiousity enough back then. I didn’t know what to do. I stood around, confused and overwhelmed. So I watched my team while I stood there helpless.

This time, I was ready to jump in. I chose to let my curiosity lead. 

We were led into a very small room and after an intro sequence, the mission begun. During the intro, I looked around the room curiously. I noticed a small lantern-like light with an electrical symbol. Adjacent to it was an empty cavern with a power socket.

When the mission started, everyone stood wondering what to do.

💡The immediate next step was intuitive for me. I grabbed the lantern-like light, unplugged it and put into the adjacent power socket.

The door opened and we were onto the next part of the mission. “Cool! What’s next?” I thought.

The entire escape room experience was a fun exercise of curiousity and I found it delightful. I went into each room with lots of curiosity, wondering “What if I…? What happens if…?” I pushed buttons, pulled things, rotated, twisted objects, examined items, looked for patterns. It was thoroughly enjoyable.

Research shows when you satisfy your curiosity, your brain rewards you with a flood of dopamine. That’s why curious people are happy people.

Each new step of the escape room was another opportunity to exercise more curiousity. What would happen next? What would we be required to do? 

In addition to this curiousity extravaganza, I also loved that this escape room required real collaboration.

In one room, I noticed there were two joysticks and a button on one side of the room. On the other side of the room, there was a viewfinder (like a periscope).

I was curious about this and thought the two were linked together so I told my wife, “hey, go over to the viewfinder and tell me if anything changes when I move these joysticks around.” 

My curiosity was right. She said “Yes! It moves what I’m seeing!” We then proceeded to work together to figure out the puzzle.

In another room, we had to work together as a trio to solve a puzzle. We each stood in three parts of the room, interacting with the material and dialoging about what we were seeing and then using that as an input to the piece we were responsible for. Our collaboration leveraged our diverse perspectives and experiences. Some people needed to use math (thank goodness that wasn’t me), memorization, cartography, pattern recognition and other skills.

We couldn’t have achieved our mission without collaborating, it was literally impossible. We leaned into our diverse perspectives and experiences; it was wonderful!

As we left the escape room, I couldn’t help but thinking that I went through an immersive, innovation masterclass because the experience highlighted two very important innovation mindsets: curiosity & collaboration.

🌱Mindset #1: Curiosity is essential for innovation. It leads you to see new things, go down new paths and try new things. Walt Disney once said: 

“We keep moving forward, opening new doors, and trying new things, because we are curious and curiosity keeps leading us down new paths.” 

The problem with curiosity is that it’s become a buzzword. We tell people to “just be curious.” We’ve fallen prey to the belief that people are either curious or not curious. And the sad reality is, many adults have lost their curiosity. They’ve lost their child-like wonder. What if you could reinvigorate curiousity? What if you could learn how to be curious once again? It’s possible. 

🌱Mindset #2: Collaboration drives innovation. True collaboration allows us to see new perspectives, gain insights and reach unexpected outcomes. Walter Isaacson, author of The Innovators says this: 

Innovation comes from teams more than lightbulb moments of lone geniuses.

Collaboration is more mindset than skillset and most of us think we’re better collaborators than we really are. If you’ve experienced working in functional silos, a lack of communication, a lack of knowing what’s going on in other teams, you’ve experienced a lack of collaboration. A lack of collaboration roots in a lack of belief in the true power of collaboration. In order to move the needle on collaboration, you need to shift people’s mindsets on collaboration.

At the end of the escape room experience, my wife asked, “How did you know what to do? (It was her first ever escape room experience). I exclaimed, “It’s easy! I was curious!”

🪄Curiosity is powerful. In a 2019 research study, researchers discovered that a single-unit increase in curiosity on a seven-point scale was associated with 34% greater creativity.

🚀 Right now, I want you reflect on the following two prompts:

  1. How will you stimulate your curiosity todayIs there a topic you’ve been curious to learn more about? Maybe it’s a topic, hobby or interest of yours. Some popular topics these days include: Generative AI & ChatGPT. Once you’ve identified an area of curiosity, go and learn about it. Explore it and enjoy the process. I’m giving you permission right now to go and do this. After you’re done, come back and share your experiences with me!
  2. Who could you collaborate with on something you’re working on? It doesn’t matter if it’s a small or big thing. Invite them into your work and get their perspective. You’ll gain fresh insights and new ideas from them. Pro tip: Find someone you NORMALLY wouldn’t ask. Be surprised by what they share with you.

🌱Both curiosity and the collaborative mindset can be taught and nurtured. If you want to know how and bring this to your team, please reach out! I’d be happy to help.

Image credit: Leo Chan

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