Category Archives: Innovation

A Guide to Effective Brainstorming

A Guide to Effective Brainstorming

GUEST POST from Diana Porumboiu

Brainstorming is one of those hyped terms that these days has a reputation of its own because of the controversy surrounding it. Is it just a shallow activity, organizations do when they are stuck in a rut? Or is there an efficient way to go about it without wasting time?

The debate still goes on, and both sides have valid arguments. The opposing sides of the debate are the experienced facilitators or managers who vouch for its value when done right, and the academic research that points out the flaws and the short-sightedness of the approach.

But we don’t live in a black and white world, and as is the case with most things, brainstorming is more nuanced than that. Since brainstorming first became a thing, in the ‘50s, the world has changed radically. In the past 70 years, we got the Internet, we went digital, and our working life looks completely different.

Even so, the basic rules of brainstorming haven’t really adapted to these new realities. So instead of asking ourselves if there is a point in brainstorming, and whether it’s good or bad, maybe we should update the old ways of brainstorming to make it more effective for modern organizations.

So, in this article, we’ll answer essential questions like what the value of brainstorming is, and provide practical steps and up-to-date rules of thumb that can lead to effective brainstorming sessions.

But without further ado, let’s get to it.

What is brainstorming and what’s the hype around it?

To set the scene, let’s recap what brainstorming is and how it became such a key concept in creative thinking.

In a nutshell, brainstorming refers to the group ideation technique where people get together for a session to generate and contribute ideas around a specific theme or problem.

Nowadays, brainstorming is the overarching term for a variety of methods, tools, and techniques that have been developed to facilitate creativity and encourage idea generation.

As a short background story for those who are not familiar with the source of brainstorming, Alex Osborn is considered the father of this method. A creative theorist, and businessman he imagined the technique in the 50s, and was actively using it in his agency, BBDO. Reportedly, every day they were running a brainstorming session, in a bright yellow room where up to 12 people would gather to bounce around ideas. After 401 sessions, they had a total of 34000 ideas, which in the end resulted in 2000 good ideas.

If we do the math this translates to 5 decent ideas per session. 70 years ago, this might have looked like a good use of time, but considering today’s technologies and methods, those results could be achieved with far less effort and way faster. Current tools allow easier and faster idea collection, which leaves more time for actual development and implementation work.

Brainstorming caught the attention of researchers in the academic world, which made this one of the most researched creative thinking methods. This is also how the technique became very controversial.

The first ones to show interest in brainstorming were researchers at Yale, whose studies led to an unexpected outcome: individual ideation led to more ideas than group ideation. As academic settings are different from corporate ones, understandably the results were not deemed reliable.

The Traditional Rules of Brainstorming and Their Benefits

Osborn came up with the brainstorming technique as a tool to generate a large number of ideas for a specific problem. Brainstorming, which he initially called thinking up was grounded in a few basic rules that would govern each session.

1. Quantity first: come up with as many ideas as possible and the winning ideas will eventually come.

Ideas are the main purpose of a brainstorming session, so we couldn’t agree more, you want as many as possible. However, when it comes to traditional brainstorming sessions, you drastically reduce the number of ideas that could be generated.

The traditional approach suggests getting together 10 to 12 people who can work together. There’s an obvious limitation to this approach, as we saw in Osborn’s results, they needed over 400 sessions to get to 2000 decent ideas.

Limiting access to only a select few, is diminishing opportunities and the number and diversity of ideas that could be generated. It might have worked well in a small agency and in the 50’s offices, but in today’s complex and global work environments, this approach is highly restrictive.

When people work remotely or from different corners of the world, it is highly inefficient to get them together for a brainstorming session. Let alone involve those who don’t happen to work in the figurative Ivory Tower at headquarters. Ideas should come from all employees in an organization, not just from top managers.

2. Encourage bold, crazy ideas

Don’t rule out any ideas because you never know where a spark can come from. The risk with this rule is that people have the tendency to focus more on pointing out problems than solutions. But this doesn’t mean that there is no value in that. Even if the solution isn’t right, you might uncover something that was not obvious up to that point that helps you solve the right problem down the road.

Opening the door to wild ideas can come with the challenge of keeping people focused on the goal, especially since the next rule makes it even harder to get participants back on track when they veer away from the purpose of the session.

3. No evaluation or criticism of ideas

Understandably, the role of this rule is to not discourage or cut people off from churning out a flow of ideas. As the best ideas often build on top of other people’s ideas, this is as an important rule.

However, it also leads to some issues. Even though fostering a safe environment is essential in creative thinking, a brainstorming workshop won’t do the trick. Building a safe environment comes from the overall organizational culture and can’t be suddenly created when brainstorming if it was nonexistent before.

Even though on paper this is a good rule to balance the flow of ideas and give voice to everyone, in practice you will always have the most extrovert, open person in the room speak more and drown out others. Someone more opinionated or with a stronger personality could easily discourage the more reserved, introverted people. And this can happen even when enforcing this rule. Some people will always feel more comfortable speaking up than others.

Also, if there is no instant reaction and no healthy debate, groupthink will settle in. The last rule of brainstorming is meant to combat this, but can it?

4. Combine and improve ideas

Osborn was not wrong to believe in the creative power of a group and in his circumstances, he made it work. When ideas are transparently shared, it’s easier for people to contribute, build upon those and get more creative together.

At the same time, the proponents of brainstorming tend to blame the critics of the method for being inexperienced, unskilled, or simply ignorant. Basically, they don’t see any flaws in the method.

There might be a grain of truth there, but it’s just one side of the story. Even skilled facilitators have a hard time choosing and using the right tools to reach their goals. Sometimes you can expose yourself to others’ ideas at your own pace, when you can digest the information, not when your boss asks you to be creative.

To harness these ideas and moments, organizations should enable the transparent flow of ideas in an asynchronous approach. This will enable them to leverage the creative and collaborative power of hundreds and even thousands of people.

Luckily, modern technology and the myriad of tools available today allow for simultaneous interaction between thousands of people who can transparently collaborate and build on top of each other’s knowledge a snd ideas.

It’s interesting to note that even though these ground rules were first introduced in the 50s, they are mostly valid, and can still be relevant in small agencies and working groups that need a fast fix to a specific issue.

When vouching for brainstorming, many supporters of the method bring up two important benefits:

  • Synergy, (which comes from the fourth rule of brainstorming) and
  • Social facilitation 

Synergy

In essence, synergy refers to the results produced by collaborative work. When people get together, the overall result is greater than the impact they would have had individually.

So, when it comes to brainstorming the ideas generated by some can inspire and motivate others to come up with more ideas. It generates a chain reaction that enables people to build on top of each other’s ideas.

However, organizations are highly complex these days and information is spread across teams, departments and functions.

There are also many other things at play when it comes to team dynamics and human behavior when we interact in person.

For example, the more cohesive a group, the greater the risk of groupthink, conformity, and the tendency to want to reach unanimity. There is also the risk shift issue, which is the tendency of a group to make riskier decisions than they would have made individually.

Then there is also the social loafing concept which refers to how people work less hard for ideas when in a group, rather than if they were doing it alone.

study on group performance also brought to discussion another phenomenon: downward norm-setting, where a group performs at the level of the weakest person.

Teamwork and cohesive groups are essential for the well-functioning of an organization, but there is always the flip side of the coin. While all these things are not bad per se, they do inhibit the possibility of great, diverse, out-of-the-box ideas. The vacuum in which  brainstorming tends to operate, can favor such behaviors which can become bottlenecks for the idea-generation process.

Social facilitation

Again, this is a vast topic, but the main idea here is that people tend to behave differently when in the presence of others. Some research states that people perform better certain tasks when they are with other people than when they are alone.

These theories are hard to prove or explain even for social scientists, so in the context of brainstorming, it’s even more controversial to state that mere collaboration with others can improve one’s performance. There are just too many factors at play.

One of the most obvious is that each brainstorming brings together different personality types. Not everyone will feel energized by the chaos that some brainstorming sessions can turn into. From the personal experience of the introvert writing this piece, brainstorming sessions can be energy-draining, exhausting exercises, and not the most inspiring, motivating types of work meetings.

Most leaders who decide to run a brainstorming workshop do it for one or more of these reasons:

  1. fun activity to energize and motivate the team (as mentioned, it hardly applies to everyone, since you will never have completely homogeneous teams, something you shouldn’t even strive for)
  2. Improve communication and get people on the same page (indeed, when you bring people in the same room it’s easier to communicate the same thing to everyone and bring clarity).
  3. They involve people in decision-making or at least give that illusion. In some cases, it can work, as people engage and feel motivated when they are listened to. But over time if their ideas are ignored, cynicism can creep in and people will stop believing and engaging in these workshops.

The main purpose of brainstorming, which is creative thinking and idea generation is mostly overlooked, but for these other benefits, it can still be a valuable exercise, especially in small teams and organizations.

That being said, for medium to large organizations who want to make the most of the basic idea of brainstorming, generate as many ideas as possible and get the best results, there are better ways to go about this. Some new, up to date rules, and tools, should be considered if you want to brainstorm in a 21st-century organization.

So, let’s see why and how you can revamp the traditional rules of brainstorming and bring them to modern working life.

The Improved Rules of Brainstorming

Before diving deeper into each of these rules, let’s start by setting the scene of brainstorming: when should you brainstorm, and what are the prerequisites that would make the effort worthwhile.

The most common criticism towards brainstorming is that it doesn’t build momentum and things come to a halt once the session has ended. The reasons could be:

  • There is no systematic process in place to manage ideas and to include ideation methods in these processes
  • The goals where not clearly defined before the brainstorming. Closely linked to the previous reason, there was no accountability for the outcome of the session and no one in charge of moving ideas further.

So, before jumping into a brainstorming session take a moment and reflect on the purpose. Are there other possibilities, tools, and solutions that might work better?

For example, in recent years a new concept has gained traction, painstorming. If we disregard the not so inspired choice of words, there’s actually something to it.

With painstorming the focus is shifted towards fixing customers’ pain points, so you work to uncover pain points and come up with better ideas around those. Of course, there is nothing new about it, but when you look at why you wanted to brainstorm in the first place, this might bring a new perspective, and with it, new methods and tools, like the Jobs To Be Done framework or How Might We statements.

Of course, these tools aren’t mutually exclusive or replace the need or role of brainstorming. So, if you decide that brainstorming is still something you want to do, you might as well do it right. Here are some amendments to the traditional rules of brainstorming.

1. Quantity: for more ideas, go virtual

As already mentioned, we stand by this rule: to get the best ideas you need a larger pool of ideas to choose from. And in the digital world we live in, you can’t rely just on pen and paper for that.

It’s simple: if you want more ideas, you need more input and more participants, which in an office setting is hard to achieve. We can’t imagine brainstorming with 30 people in the same space; how they would interact, take turns, suggest ideas, how long it would last, and what the outcome would be. Even finding a calendar slot that works for all 30 participants will likely take months. But we can imagine a hybrid workshop with 30 participants or even a completely virtual brainstorming session with hundreds of people.

There are even studies that show how virtual brainstorming sessions are more productive because the environment can provide a better experience for the group members, balancing introverts and extroverts, optimists, and pessimists.

2. Encourage bold, crazy ideas: create the right environment

The crazy ideas come in the most unexpected moments, so don’t miss the opportunity of capturing those. Ideas should not be tied to a place or a moment and because you rarely have the wildest ideas on the spot in a brainstorming session, it’s best to provide the tools and create the processes that allow for idea generation and collection anywhere, and at any time.

That’s also why going virtual is essential. The standard approach is to squeeze some juicy ideas during brainstorming, or to dump them in a collaboration tool as a DM or in a group, where it will probably get lost among the hundreds of messages and conversations.

An idea management tool gives you the freedom and flexibility to come up with ideas at any moment. Then you can discuss them, build upon them, and develop even better ones before, during, or after your brainstorming session.

3. No evaluation, or criticism of ideas: for healthy debates, nurture creative abrasion

Another big topic that goes far beyond brainstorming is the culture in which these sessions take place. The premise is not wrong: you don’t want people to feel intimidated, so you don’t criticize or put their ideas down.

The backbone of brainstorming is collaborative work, but to collaborate doesn’t mean to agree with others all the time. In fact, we get better ideas through debate and discourse.

While Steve Jobs is to this day labeled as a bad leader for his aggressive style and insensitive ways, we could see how his approach helped build a couple of the most innovative companies in the world. Between his style and today’s overly polite approach to conflicting ideas, there is a middle ground: creative abrasion, the ability to create a marketplace of ideas through debate and discourse.

Creative abrasion is not about creating conflict, and irritating group members. It’s about creating cultural, disciplinary, and thinking style diversity, encouraging diversity of ideas, and managing the resulting abrasion for maximum creativity.  

To have creative abrasion you need a work environment that provides psychological safety, where people feel safe to advocate for their point of view and disagree with their colleagues or even superiors. Ideas should be challenged, and so should people. If you are a facilitator, ask questions like “what happens if…”, “have you thought of…” or “how might we…”?

You can read more about the topic of psychological safety in our article on how to lead innovative teams.

4. Combine and improve ideas: turn the sessions into a process

A good rule that could also use some refinement to make it even better. In the traditional setting, once ideas are generated and collected, people are expected to react to the pool of ideas they have in front of them. Yet again, there is no such thing as a stroke of genius, the a-ha moment that comes spontaneously.

The key here is to give people the time to reflect on what they’ve learned, research and work on those ideas in order to come up with novel, updated versions of those ideas. In traditional brainstorming, all of that should happen in the same session.

However, this is not something you can do in one session. It’s not just the conclusion of Yale researchers. Jake Knapp, inventor of the design sprint method, and author of Sprint, was using brainstorming workshops at Google for years, until he realized the outcome was not the expected one. Individual ideas that were thought through, of people who took the time to think and analyze, were better and more valuable than those that came out of the brainstorming workshops.

So, what you can do instead is to turn brainstorming into a primarily asynchronous collaborative process that includes a few joint sessions where people can come together to discuss, debate, and find alignment.

If you want to rush brainstorming into a few hours session and expect great results from that, there might be no point in brainstorming at all. You might as well just ask some experts for their input on that specific issue or challenge. And you might still get better results than doing rushed brainstorming sessions.

With these new rules in place, let’s see how you can organize and run successful brainstorming sessions.

Virtual Brainstorming

How to Setup a Virtual or Hybrid Brainstorming Session

The most exciting part is always getting our hands dirty. Before getting started you need to decide on a shared collaboration tool that is easy to take into use, flexible, and intuitive for everyone to contribute. Ideally, you will choose a tool that doesn’t allow just idea collection, but can support multiple simultaneous idea management processes, can be easily customized, and allows evaluation, transparency, and participation from different kinds of stakeholders, both inside and outside the organization.

The right tool will enable you to run both virtual and hybrid brainstorming sessions where you have some teams remote and others in-person.

1. Set the stage

This first step takes us back to the last rule on the list. Start by defining the process(es) for the sessions you wish to organize.

What is the main goal and focus that will guide the session? It’s best to start your workshops, brainstorming or idea challenges by deciding on the process that best fits your situation.

2. Set up the environment for idea collection

At this stage, you should already know who will be responsible for monitoring the process, who will participate, and what channels of communication will be used. As an example, we used Viima’s brainstorming board template which has the right settings already in place.

This will allow you to communicate in advance the why, what, and how and invite people to participate. For easier monitoring and better organization, create different types of categories of ideas you are looking for. These can be around solutions, opportunities, challenges or problems you want to solve.

3. Generate, collect, and organize ideas

If you’re running a hybrid or an in-person brainstorming, make sure to send the agenda beforehand. This will give people time to prepare, think about the topic and make research if necessary. If your brainstorming is part of a longer process, like an idea challenge and you run it asynchronously, you should set a deadline for submitting ideas.

Ask participants to contribute in advance so that during the brainstorming session you can focus on discussing and refining those ideas.

It’s also good to define the development process of ideas through statuses that indicate where certain ideas are in the process.

For example, for the purpose of brainstorming you can have ideas collected before the sessions, and during the sessions. After the brainstorming and based on data you collected, ideas with potential can change status and move to the next phase. This could be, for example, a new session to discuss and work on the remaining ideas.

Encourage participants to build upon other ideas by commenting and providing their own insight and expertise.

4. Evaluate

An idea evaluation process to get the information that will allow you to make the best possible decision. When evaluating ideas you need a set of criteria, or metrics to consider the various aspects of an idea. When you combine these metrics you get a numeric rating, the score, which can provide an estimate for the potential of the idea.

A systematic set of criteria for evaluating ideas will help you take better and more consistent decisions. However, these criteria vary greatly depending on the industry, type of ideas, strategic objectives, etc.

What is the impact of the idea, how much effort it requires to implement it, and so on. Some of these metrics are best evaluated by managers or subject matter experts, while others can be evaluated by other participants in the brainstorming, based on their own knowledge and involvement in the process.

This is where many brainstorming sessions end. But in reality, this is just the beginning. Once you are done with the brainstorming, idea collection, and evaluation, you need to prioritize them and decide on the next steps. All these steps should be transparent, so people understand the reasons behind certain decisions, why some ideas might be left behind and why others are considered.

5. Prioritize and follow-up

This is the step where the magic of a good idea management tool comes in play. An idea management tool can help you prioritize and select the ideas that meet your criteria and get the highest score.

At this point, you can choose a few ideas to go forward with and prepare for the next session and invite people on an even more focused brainstorming around those ideas.

If you get to one idea with high potential, you can zoom in on that, move it to another session for validation, or maybe even create a new board to collect more ideas around the development and refinement of the “winning idea”.

Before you get to implementation, depending on the complexity of the ideas you’ll be working on, you can repeat the process.

Conclusions

As mentioned above, brainstorming should only be a starting point, a piece in the puzzle of the internal processes you’ve worked hard to develop.

To wrap up let’s recap some of the main points we believe you should take away from this.

  1. First, don’t put the cart before the horses by looking for ideas before defining a clear problem or issue you want to brainstorm around. Narrow down the objective to provide focus and increase the effectiveness of the session.
  2. Second, build the brainstorming and ideation process around specific questions. You can start with 15-20 questions that are tied to your business goals and will provide direction and inspire good ideas. Thought-provoking questions will help the session flow in the right direction. “how can we…?”, “if you had no constraints how would you…?”, “how can we put these pieced together in a new way?”, “what do these insights/ data reveal?” etc.
  3. And last, when it comes to setting expectations, consider the existing limitations you have to work with. As much as everyone wants to come up with “outside the box” ideas, the counterintuitive truth is that constraints and limits are what often lead to the most original ideas. Plus, they help you focus on what matters, and remain grounded in reality.

Image credits: Pexels, Unsplash

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The Coming Innovation Slowdown

The Coming Innovation Slowdown

GUEST POST from Greg Satell

Take a moment to think about what the world must have looked like to J.P. Morgan a century ago, in 1919. He was not only an immensely powerful financier with access to the great industrialists of the day, but also an early adopter of new technologies. One of the first electric generators was installed at his home.

The disruptive technologies of the day, electricity and internal combustion, were already almost 40 years old, but had little measurable economic impact. Life largely went on as it always had. That would quickly change over the next decade when those technologies would drive a 50-year boom in productivity unlike anything the world had ever seen before.

It is very likely that we are at a similar point now. Despite significant advances in technology, productivity growth has been depressed for most of the last 50 years. Over the next ten years, however, we’re likely to see that change as nascent technologies hit their stride and create completely new industries. Here’s what you’ll need to know to compete in the new era.

1. Value Will Shift from Bits to Atoms

Over the past few decades, innovation has become almost synonymous with digital technology. Every 18 months or so, semiconductor manufacturers would bring out a new generation of processors that were twice as powerful as what came before. These, in turn, would allow entrepreneurs to imagine completely new possibilities.

However, while the digital revolution has given us snazzy new gadgets, the impact has been muted. Sure, we have hundreds of TV channels and we’re able to talk to our machines and get coherent answers back, but even at this late stage, information and communication technologies make up only about 6% of GDP in advanced countries.

At first, that sounds improbable. How could so much change produce so little effect? But think about going to a typical household in 1960, before the digital revolution took hold. You would likely see a TV, a phone, household appliances and a car in the garage. Now think of a typical household in 1910, with no electricity or running water. Even simple chores like cooking and cleaning took hours of backbreaking labor.

The truth is that much of our economy is still based on what we eat, wear and live in, which is why it’s important that the nascent technologies of today, such as synthetic biology and materials science, are rooted in the physical world. Over the next generation, we can expect innovation to shift from bits back to atoms.

2. Innovation Will Slow Down

We’ve come to take it for granted that things always accelerate because that’s what has happened for the past 30 years or so. So we’ve learned to deliberate less, to rapidly prototype and iterate and to “move fast and break things” because, during the digital revolution, that’s what you needed to do to compete effectively.

Yet microchips are a very old technology that we’ve come to understand very, very well. When a new generation of chips came off the line, they were faster and better, but worked the same way as earlier versions. That won’t be true with new computing architectures such as quantum and neuromorphic computing. We’ll have to learn how to use them first.

In other cases, such as genomics and artificial intelligence, there are serious ethical issues to consider. Under what conditions is it okay to permanently alter the germ line of a species. Who is accountable for the decisions and algorithm makes? On what basis should those decisions be made? To what extent do they need to be explainable and auditable?

Innovation is a process of discovery, engineering and transformation. At the moment, we find ourselves at the end of one transformational phase and about to enter a new one. It will take a decade or so to understand these new technologies enough to begin to accelerate again. We need to do so carefully. As we have seen over the past few years, when you move fast and break things, you run the risk of breaking something important.

3. Ecosystems Will Drive Technology

Let’s return to J.P. Morgan in 1919 and ask ourselves why electricity and internal combustion had so little impact up to that point. Automobiles and electric lights had been around a long time, but adoption takes time. It takes a while to build roads, to string wires and to train technicians to service new inventions reliably.

As economist Paul David pointed out in his classic paper, The Dynamo and the Computer, it takes time for people to learn how to use new technologies. Habits and routines need to change to take full advantage of new technologies. For example, in factories, the biggest benefit electricity provided was through enabling changes in workflow.

The biggest impacts come from secondary and tertiary technologies, such as home appliances in the case of electricity. Automobiles did more than provide transportation, but enables a shift from corner stores to supermarkets and, eventually, shopping malls. Refrigerated railroad cars revolutionized food distribution. Supply chains were transformed. Radios, and later TV, reshaped entertainment.

Nobody, not even someone like J.P. Morgan could have predicted all that in 1919, because it’s ecosystems, not inventions, that drive transformation and ecosystems are non-linear. We can’t simply extrapolate out from the present and get a clear future of what the future is going to look like.

4. You Need to Start Now

The changes that will take place over the next decade or so are likely to be just as transformative—and possibly even more so—than those that happened in the 1920s and 30s. We are on the brink of a new era of innovation that will see the creation of entirely new industries and business models.

Yet the technologies that will drive the 21st century are still mostly in the discovery and engineering phases, so they’re easy to miss. Once the transformation begins in earnest, however, it will likely be too late to adapt. In areas like genomics, materials science, quantum computing and artificial intelligence, if you get a few years behind, you may never catch up.

So the time to start exploring these new technologies is now and there are ample opportunities to do so. The Manufacturing USA Institutes are driving advancement in areas as diverse as bio-fabrication, additive manufacturing and composite materials. IBM has created its Q Network to help companies get up to speed on quantum computing and the Internet of Things Consortium is doing the same thing in that space.

Make no mistake, if you don’t explore, you won’t discover. If you don’t discover you won’t invent. And if you don’t invent, you will be disrupted eventually, it’s just a matter of time. It’s always better to prepare than to adapt and the time to start doing that is now.

— Article courtesy of the Digital Tonto blog
— Image credit: Pexels

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The Impact of AI on Human Civilization

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:

  1. How might we clarify and align the goals and objectives?
  2. How might we identify the tone and perspective?
  3. How might we recognize empathetic requirements that are considerate to our audience?
  4. How might we brainstorm and generate ideas for prompts and test them?
  5. 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.

  1. What does collaboration with AI look like, and how does it feel?
  2. What questions will the team ask the AI?
  3. How will we learn to work and collaborate in new ways?
  4. What does it mean to invite AI in as a team member?
  5. 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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Deciding You Have Enough Opens Up New Frontiers

Deciding You Have Enough Opens Up New Frontiers

GUEST POST from Mike Shipulski

If you are happy with what you have, others have no power over you.

If you don’t want more, you call the shots.

If you have nothing to prove, no one can manipulate you.

If you have enough, the lure of more cannot pull you off the path of what you think is right.

If you don’t need approval from others, you can do what you think is right.

If you know what’s important to you, you can choose the path forward.

If you know who you are, so does everyone else.

If you know who you are, you don’t care what others think of you.

When you don’t care about what others think about you, you can do the right work.

When you can do the right work in the right way, you are impervious to influence.

When you are impervious to influence, the right work happens, despite the displeasure of the Status Quo.

Image credit: Pixabay

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

Top 10 Human-Centered Change & Innovation Articles of February 2023Drum 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 February’s ten most popular innovation posts:

  1. Latest Innovation Management Research Revealed — by Braden Kelley
  2. Apple Watch Must Die (At least temporarily, because it’s proven bad for innovation) — by Braden Kelley
  3. Unlock Hundreds of Ideas by Doing This One Thing (Inspired by Hollywood) — by Robyn Bolton
  4. Using Limits to Become Limitless — by Rachel Audige
  5. Kickstarting Change and Innovation in Uncertain Times — by Janet Sernack
  6. Five Challenges All Teams Face — by David Burkus
  7. A Guide to Harnessing the Power of Foresight (Unlock Your Company’s Full Potential) — by Teresa Spangler
  8. Creating Great Change, Transformation and Innovation Teams — by Stefan Lindegaard
  9. The Ultimate Guide to the Phase-Gate Process — by Dainora Jociute
  10. Delivering Innovation (How the History of Mail Order Can Help Us Manage Innovation at Scale) — by John Bessant

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

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:

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Essential Tactics for Thriving in a Rapidly Evolving Tech Landscape

Essential Tactics for Thriving in a Rapidly Evolving Tech Landscape

GUEST POST from Teresa Spangler

“The future belongs to those who embrace change,” says Jeff Bezos, founder, and CEO of Amazon

The business world continues to undergo rapid technological advancements disrupting traditional business models and creating new opportunities. To stay ahead of these trends, leaders must embrace innovation and implement technologies that result in improved efficiencies and better customer value. Companies that adopt these technologies can streamline processes, increase security and privacy, provide more convenient experiences, and gather valuable insights. Actions may include biometrics, pay-to-bank systems, sensors, and AI, among others.

In the fast-paced world of technology, staying ahead of the curve is crucial for companies to reap the rewards of innovation. From automating processes to enhancing customer experiences, the benefits of staying on top of technology trends are numerous and undeniable. Take, for example, Amazon, which leveraged the power of AI to revolutionize online shopping and improve its supply chain. Another example is Netflix, which leveraged data and AI to personalize its content recommendations and build a loyal subscriber base. Companies that fail to keep up with the latest trends risk being left behind in an increasingly competitive landscape. In the world of tech, staying ahead means staying relevant and prosperous.

So how might you take simple steps to keep up with technology trends? And what steps may help your company maintain a competitive advantage, drive improved efficiencies and deliver stronger customer value. Here are some ways that companies can keep up with technology trends:

  1. Stay informed: Companies should regularly stay knowledgeable about the latest technological advancements and potential applications in their industry. This can be done through attending industry events, following technology news and trends, and subscribing to industry publications.
  2. Embrace experimentation: Companies should be willing to experiment with new technologies and assess their potential benefits. Leaders can establish pilot projects or small-scale implementations, for example.
  3. Foster a culture of innovation: Encouraging and fostering a culture of innovation within the company will help it to adapt to new technologies continuously and to stay ahead of the competition.
  4. Invest in research and development: Companies should invest in research and development to continuously innovate and improve their products, services, and operations.
  5. Collaborate with industry experts and partners: Companies can collaborate with industry experts and technology partners to stay informed and leverage their expertise in implementing new technologies.
  6. Continuously evaluate and upgrade: It is essential for companies to constantly evaluate and upgrade their technology systems to ensure they remain efficient, secure, and effective.
  7. Hire and retain tech-savvy employees: Companies should strive to hire and retain employees with technical expertise who can drive the company’s technology initiatives and stay ahead of the competition.

By following these strategies, companies can stay ahead of technology trends and drive benefits such as improved customer experiences, increased efficiency, and reduced costs.

FutureForward podcasts (and videos) are now available on your favorite Channel:

Image credit: Pixabay

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There are Only 3 Reasons to Innovate

Which One is Yours?

There are Only 3 Reasons to Innovate

GUEST POST from Robyn Bolton

You know that innovation is something new that creates value.

(But not too new)

Sometimes the value can be hard to describe, let alone quantify. You know that, ultimately, the value needs to be financial – more revenue, lower costs, higher profit. You also know that the value created in the short term will likely be more intangible – increased satisfaction, improved brand perception, and greater loyalty.

Your challenge, especially in tough economic times, is to tell a story that connects success indicators seen in the short term to the financial returns realized in the long term and maintain support and funding as the story unfolds.

That is a HUGE challenge! One that overwhelms most managers because they don’t know where to start let alone how to maintain support and momentum.

But you are not “most managers.” You know that the best place to start is at the beginning.

What is the Goal of Innovation (i.e., why are we investing in this)?

Goal #1: Create (or keep) a competitive advantage

Innovation is essential because it keeps you ahead of the competition.

Your business is already a leader in something that creates a competitive advantage, and your innovation efforts focus on keeping it that way.

For example, imagine you’re the President of Big Machine Co (BMC). You’ve been in business for decades in an industry with commoditized products, few competitors, high barriers to entry, and medium barriers to switching (i.e., it can be done, but it’s a pain).

You know that customer relationships and loyalty are the fuel that drives your business and why you’re #1 in the market. As a result, you focus your innovation efforts on creating new products or services that deliver unique value to your customers and provide easy and fast resolution to service issues.

Goal #2: Avoid (or overcome) competitive disadvantage

Innovation is essential because it keeps your business alive.

Your business is falling behind the competition either because you’re not keeping up with their pace of innovation or because you’re failing to deliver on table stakes like quality, price, or accessibility. You invest in innovation to catch up to the competition or regain your place in customers’ consideration.

Let’s go back to Big Machine Co.  Because of the amazing growth you achieved as President, you’re now CEO (congrats!). The new President continued your innovation strategy but got so excited by everything new he forgot to pay attention to the “old” things – existing products, manufacturing capabilities, and people. Now, you’re #2 in the market and losing customers at a concerning rate.

It’s time to get back to basics and invest in “new to BMC” innovations by creating products that customers want and competition can already offer, investing in manufacturing equipment and processes that improve efficiency and quality, and retaining people who have the knowledge, experience, and relationships that are the heart of the business.

Goal #3: Build a reputation for being innovative

Innovation is essential because doing it makes the company look good (and executives and shareholders feel good), regardless of whether it produces results.

Your business demands innovation, new news, and big splashes. Your customers want novelty, not perfection. Image is everything, and perception is reality. You invest in innovation to show what’s possible, provoke conversation, and stay in the spotlight.

Believe it or not, this is on your mind as CEO of Big Machine Co.  Your customers demand perfection, not novelty, but they need to shed the perception that they’re boring companies in a boring industry moving at a glacial pace to attract and retain the next generation of talent. You can help.

You look beyond the market to identify trends and technologies in the news but not yet in your industry. You identify the ones that could transform industries and make your customers’ eyes light up with wonder and excitement. You create proof of concept prototypes that make the vision tangible and discuss the plan and timing of the first step toward that vision.

How to Goal Helps

Your reason for innovating informs everything else – your strategy, structure, activities, metrics, and governance.

That is why you can only have one ‘Why’ at a time.

Yes, it’s tempting to try to do a bit of everything, but that often results in achieving nothing.

Think back to Big Machine Co:

  • If the products break, don’t perform as they should, or aren’t available when needed, it doesn’t matter how excellent the customer service is or how cool the new products are. You must achieve Goal #2 (avoid or overcome competitive disadvantage) to earn the right to pursue Goal #1 (create or maintain competitive advantage)
  • If the products are the right quality, perform as expected, and arrive on time but the customer service is poor, and there are no new products, it’s hard to believe that a company that struggles to deliver incremental innovation can deliver on a radically innovative vision. You must make progress against Goal #1 to have permission to pursue Goal #3 (build a reputation).

The next time you face the challenge of connecting your innovation’s short-term success indicators to the long-term financial returns and maintaining support and funding, don’t be overwhelmed.

Go back to the beginning and explain, “It achieves (Goal #) so that we earn the right to invest in (Goal #).”

Image credit: Pixabay

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Innovating Innovation

How Machine Learning is Transforming the Innovation Game

Innovating Innovation

GUEST POST from John Bessant

One of the difficult parts of being a parent is when your kids grow up and you lose the excuse to play with their toys. And in my case one that I particularly miss is the Transformer series. Originally developed in the 1980s and accompanied by a TV spin-off these robots could masquerade as ordinary vehicles like cars and oil tankers. And then, at a crucial moment, they could reassemble themselves into well-armed fighting robots able to save mankind on a weekly basis from all sorts of alien threats. The toys were masterpieces of engineering; the underlying story clearly had staying power since there is a new generation of transformers (and video /movie accompaniment) today.

For their time they were symbols of the power of transformation, being able to adapt and repurpose to deal with new challenges. And these days we have a much more powerful and real example of such power in the form of a new generation of machine learning models.

Machine learning has its roots back in experiments with ‘artificial intelligence’ in the 1970s but has come to represent a powerful technological trajectory as the idea of mimicking human neural networks and their learning capabilities has been explored. We’ve seen with increasing frequency many bastions fall to these models; it seems a lifetime ago (1996 actually) that IBM’s Deep Blue beat chess champion Gary Kasparov deploying something of a brute force approach. But by 2016 Google’s Alpha Go model managed to beat the world champion Lee Se-Dol at the much more complex game of ‘Go’. And recent contests at which machine learning seems to have ‘beaten’ human opponents include those like poker which involve not only strategy but the ability to bluff — essentially requiring computer models to imagine what an opponent is thinking and then generate a diversionary move.

As Jang Dae-Ik, a science philosopher at Seoul National University, told The Korea Herald after AlphaGo’s victory ‘This is a tremendous incident in the history of human evolution — that a machine can surpass the intuition, creativity and communication, which has previously been considered to be the territory of human beings…..Before, we didn’t think that artificial intelligence had creativity…..Now, we know it has creativity — and more brains, and it’s smarter’.

At heart these developments reflect a fundamental shift in machine learning applications and models. In the early days models were used to help with highly focused activities — for example applied in data mining where they might be searching for something specific. But now we have generative AI, which does what it says on the tin — generates something new. And this brings the uncomfortable challenge to our perception of ourselves as the only ones capable of creativity — generating novel and useful solutions to challenges.

A quick review of the growing literature on ‘artificial creativity’ shows that there are grounds for worrying. Machine learning models can now ‘create’ music, literature or visual art to a standard which makes it increasingly difficult to detect its non-human origin.

For example, the Next Rembrandt project was an attempt by a team of art historians, data scientists and engineers to teach a machine to think, act and paint like Rembrandt. The documentary film of this venture highlights the challenges and complexities involved in producing a painting which convinced many — 347 years after the painter’s death!

In similar fashion, there are a number of websites featuring music composed by AI in the style of — and often hard to distinguish from — the original composer. And in 2016 IBM’s Watson AI engine produced a trailer for the horror movie ‘Morgan’. This involved Watson ‘watching’ and analyzing hundreds of examples of trailers and then selecting scenes for editors to patch together into their film. This cut the time for the process from over a week to less than a day.

Which brings us to Chat — GPT and the explosion of interest in this particular model. It was launched by the OpenAI company in November 2022 as the latest in a series of generative models with the capability to come up with its own answers to questions posed to it. (Amongst its predecessors is Dall-E, a powerful image generator). The GPT stands for Generative Pre-Trained Transformer, a class of model which they have been working on for some time.

At its heart the Chat GPT model (and its equivalents in the labs of Google/Alphabet, Meta and many other companies) is a machine learning model trained on billions of facts. It has the ability to explore and analyse those and ‘learn’ how to synthesis coherent and credible answers to questions posed by a very wide and diverse audience. Within two weeks of its launch Chat GPT had attracted over a million users, and the demand is now so high there is a waiting list to access it. People have been experimenting with its capabilities to create songs and poems, write newspaper articles, answer exam questions and even to enter and pass the preliminary tests for people wishing to qualify as medical professionals in the USA!

Not surprisingly OpenAI it has seen its valuation rapidly escalate to around $29bn with Microsoft taking a significant share in the business. It’s likely that the next year will see an explosion of interest in such models with new and better variants and increasing competition from other players.

One area where such models may well have a significant impact is in the field of innovation itself. In an excellent article Frank Piller and colleagues explore this — and the implications for innovation management. They point out that there is already increasing use of generative machine learning models in innovation; these include searching large data sources to identify insights around customer needs and using generative models to create marketing and advertising copy for new products and services.

They map their analysis of where and how such models might be used on to a typical representation of the innovation process — the so-called ‘double diamond’ linked to ‘design thinking’. Here there is a front end concerned with exploring the ‘problem space’ — understanding user needs and potential opportunities. Work at this stage involves divergent exploration followed by convergence, closing in on promising directions. It is linked to a second divergent/convergent diamond linked to exploring the ‘solution space’ and then closing in on projects to be taken further.

Double Diamond Deisgn Process Model

What they were interested in was the ways in which features of machine learning might help with these activities and the possible impact on how innovation is undertaken — and by whom.

A fascinating feature of their research is that they do so not just on the basis of informed speculation but by putting the Chat-GPT model to the test, giving it some innovation challenges to work on. Thinking about the possibilities for new products in the field of camping and outdoor activity they designed three questions to put to the model, looking for whether and how new insights might be generated to help with:

  • Searching through large data sets containing information about potential new directions and trajectories
  • Exploring data on customer experience and searching for new insights into potential needs
  • Helping create new concepts around which innovations might be developed

All of these are typical tasks which innovation teams undertake in organizations; for example they spend a lot of time at the front end researching what has already been done, drawing in knowledge and building a picture of possible problem and solution space. They deploy a wide range of market research tools including various forms of trend analysis. And they work with a range of creativity tools to generate possible solution options for further progression.

It’s early days but the performance of the machine learning model was instructive. In exploring what is known about camping gear a Google search identified 299 million results which certainly exceeds the capacity of even a small army of human researchers to analyze! The Chat-GPT model did a good job in analyzing and pulling out results of possible relevance, providing at least a powerful first-pass filter.

In its second task the Chat-GPT model managed to make sense of a wide range of customer reviews to generate insights into trends and possible needs — so-called ‘sentiment analysis’. Once again its skill in sifting through the text of thousands of reviews showed potential for providing new insights into emerging and hidden customer needs.

And in the field of creating potential solutions the researchers set the model a brainstorming kind of task — to come jup with novel and useful ideas for new camping products. The strategy here is to prompt the model with some examples of typical brainstorming insights and then allow it to learn how to generate its own. Once again the performance on the task was impressive; not only did it come up with plausible incremental innovation ideas, it also generated some radically new ones which opened up new solution space.

At first glance this kind of performance across several areas of the innovation process might seem worrying. Even though there has been a backlash to the wave of enthusiasm around generative machine learning models the overall trajectory looks ominous in terms of its implications for ‘creative’ tasks in organizations. If machine learning continues to improve how long might it be before we no longer need human beings to work in the innovation process?

The reality seems to point more towards a hybrid model in which AI supports human activity — for example by using it to sift through enormous amounts of data and extract potentially relevant information which its human counterparts can then work with. As the researchers conclude, ‘….by expanding the problem and solution spaces in which NPD (new product development) teams can operate, language models create an opportunity to access and generate larger amounts of knowledge, which in turn results in more possible connections of problems and solutions. This should ultimately lead to qualitatively superior solutions and higher innovation performance.’

So can we relax and not worry about the machines taking over our innovation role? Not really —  if we want to take advantage of the powerful hybrid approach which Frank PIller and his colleagues point towards then we need to start learning some new skills and developing some new working arrangements to capitalise on it.

We’re going to need a lot of innovation model innovation.

P.S. In writing this piece I did NOT make use of Chat-GPT, though I was tempted to try! Researching this piece inspired me to write another innovation song:


Image credit: Wikipedia

You can find a podcast version of this here and a video version here

And if you’d like to learn with me take a look at my online course here

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How To Create Novelty

How To Create Novelty

GUEST POST from Mike Shipulski

By definition, the approach that made you successful will become less successful over time and, eventually, will run out of gas. This fundamental is not about you or your approach, rather it’s about the nature of competition and evolution. There’s an energy that causes everything to change, grow and improve and your success attracts that energy. The environment changes, the people change, the law changes and companies come into existence that solve problems in better and more efficient ways. Left unchanged, every successful business endeavor (even yours) has a half-life.

If you want to extend the life of your business endeavor, you’ve got to be novel.

By definition, if you want to grow, you’ve got to raise your game. You’ve got to do something different. You can’t change everything, because that’s inefficient and takes too long. So, you’ve got to figure out what you can reuse and what you’ve got to reinvent.

If you want to grow, you’ve got to be novel.

Being novel is necessary, but expensive. And risky. And scary. And that’s why you want to add just a pinch of novelty and reuse the rest. And that’s why you want to try new things in the smallest way possible. And that’s why you want to try things in a time-limited way. And that’s why you want to define what success looks like before you test your novelty.

Some questions and answers about being novel:

Is it easy to be novel? No. It’s scary as hell and takes great emotional strength.

Can anyone be novel? Yes. But you need a good reason or you’ll do what you did last time.

How can I tell if I’m being novel? If you’re not scared, you’re not being novel. If you know how it will turn out, you’re not being novel. If everyone agrees with you, you’re not being novel.

How do I know if I’m being novel in the right way? You cannot. Because it’s novel, it hasn’t been done before, and because it hasn’t been done before there’s no way to predict how it will go.

So, you’re saying I can’t predict the outcome of being novel? Yes.

If I can’t predict the outcome of being novel, why should I even try it? Because if you don’t, your business will go away.

Okay. That last one got my attention. So, how do I go about being novel? It depends.

That’s not a satisfying answer. Can you do better than that? Well, we could meet and talk for an hour. We’d start with understanding your situation as it is, how this current situation came to be, and talk through the constraints you see. Then, we’d talk about why you think things must change. I’d then go away for a couple of days and think about things. We’d then get back together and I’d share my perspective on how I see your situation. Because I’m not a subject matter expert in your field, I would not give you answers, but, rather, I’d share my perspective that you could use to inform your choice on how to be novel.

Image credit: Unsplash

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Kickstart Change with Reclaimed Focus and Attention

Kickstart Change with Reclaimed Focus and Attention

GUEST POST from Janet Sernack

In 2019 we experienced the shock and the pain that resulted from the globally disruptive global Covid 19 pandemic. To both survive and thrive in the new decade of uncertainty, many people still need help and guidance to connect to, understand and manage their anxieties, fears, inertia, and confusion about the future to effectively ride the waves of disruptive change. Yet, according to Johann Hari, in his best-selling book – Stolen Focus, all over the world, our focus and attention have been stolen, and our ability to pay attention is collapsing, and we need to be intentional in reclaiming it.

He describes the wide range of consequences this has on our lives, which are further impacted by pervasive and addicting technology we are being forced to use in our virtual world, exasperated by the pandemic and the need to work virtually, from home. He reveals how our dwindling attention spans predate the internet, and how its decline is accelerating at an alarming rate.

He suggests that if we want to get back our ability to focus, stop multitasking and practice paying attention. Also, if we want to kickstart change and help people feel confident in their readiness, competence, and capacity to change and innovate in a world of unknowns, it all starts with improving our ability to pay deep attention to what is really going on.

Yet, in the thesaurus there are 286 synonyms, antonyms, and words related to paying attention, such as: listen, and giving heed, so what might be the key first steps to take in reclaiming your focus and attention?

Power of focus and attention

  • Energy flows where attention goes

Placing our focus and attention activates our energy, and our energy flows where our attention goes.

So, if you have been feeling tired and lethargic, or overwhelmed and burned out, then take a moment to consider how you might score yourself on an attentive-distractive continuum and consider how similar, or different you are to US college students who can now focus on one task for only 65 seconds, and where office workers on average manage only three minutes?

  • Being intentional

Involves getting clear upfront about what you want to achieve, by setting an intention to achieve a specific outcome or result in the future that is important to you.  In a world of unknowns, paying deep attention and being intentional are the key foundations for recovery, rebalance, and transformation.

Limiting ways of seeing, being, and acting in the world  

Many people are still experiencing unconscious intrinsic, or reactive responses to their pandemic-induced work situations and are suffering from stress overload, overwhelm, and burnout.

This is because our autonomic nervous systems, which control our cardiovascular, respiratory, digestive, urinary, and reproductive functions, and responses to stress, operate outside of our conscious control in two different and co-dependent and often competing systems.

  • Parasympathetic fight or flight system

Put very simply, our sympathetic nervous systems get overloaded by heightened stress levels, which ignite our protective fight or flight system, which normally allows our bodies to function under stress and danger, and, as a result, impacts significantly on our levels of tiredness, exhaustion, and burnt-out emotional, mental and physical states.  This exasperates our inherent, unconscious needs to self-preserve (gut), feelings of isolation and loneliness (heat), and having the limited presence of mind (head) and reverts many of us into survival mode, and shift out of alignment, where we become physiologically incoherent (out of balance).

Which is not conducive to knowing and activating what we can truly, really, and actually influence and control in our lives, which requires us to effectively balance chaos with order.

  • Reduced capacity

When operating in survival mode, we are unable (like the US College students) to take the sacred pauses we need to make the space to attend and observe, through retreat, and reflection.

We are no longer able to access our inner knowing, play in the space of possibility, create a normalized state of equilibrium and calm, and be coherent and congruent in our daily lives.

Our overall capacity to set clear goals, make smart decisions, creatively solve problems, courageously take the right actions, harness our intuition, compassionately cultivate understanding and perception, develop good relationships, learn and develop, and finally, our health and well-being, are significantly reduced.

Initiate reclaiming focus and attention

Because we don’t know if companies will ever return to their pre-pandemic-like worlds, and become future-fit, people need to be reskilled in how to focus, how to observe, how to deeply focus and attend, and how to be intentional.

Developing daily habits to be focused and productive

  1. Being intentional about breathing

 To help balance and initiate harmonizing our autonomic nervous systems, develop physiological coherence, to respond optimally to the world, starts with developing focus and attention on your breath.

Doing this helps your neurology to relax, reduce stress and anxiety, increase calmness, and reconnect to the self.

Sounds simple, yet in my global coaching practice, clients would often turn up feeling overwhelmed and incoherent, so we would begin the session with a “box breathing” exercise. This involves breathing while you slowly count to four for a total of four times – four counts of breathing in, four counts of holding your breath, four counts of exhaling, and four more counts of holding after your exhale. We could both be grounded, and coherent, to partner and connect in high-impact and productive sessions.

  1. Being intentional in stepping away from your screens

According to one 2019 survey of 1,057 U.S. office workers, 87 percent of professionals spend most of their workday staring at screens: an average of seven hours a day. Closing your laptop and taking a quick walk outside, in nature allows your brain to recharge for your next task, and enables your autonomic nervous system to take a well-deserved break and calm down.

Sounds simple, yet in my global coaching practice, clients found this very difficult to do, this might involve no TV screens in bedrooms, leaving phones outside bedrooms, turning phones off at 8.00 pm, buying an alarm clock, setting and sticking to a dedicated start and finish work times, taking regular lunch breaks outside in nature and coffee breaks with friends. Be playful and allow your mind to enjoy wandering into wondering.

  1. Working in focused intervals

A recent article in Inc stated that –  “In addition to the seven or eight hours of adequate sleep that so many entrepreneurs and CEOs neglect, taking smart breaks during your workday, and having longer periods of downtime are keys to being more productive”.

Sounds simple, again in my global coaching practice I had to negotiate with clients to be intentionally disciplined and methodical in planning their days, weeks, and months. This involved scheduling time to initiate or sustain a mindfulness or meditation practice, engage in a regular exercise program, go shopping to buy and eat healthy foods (eliminating desk-side snacks), being clear on key deliverables and breaking down key tasks into bite-size bits, and saying no to meetings that don’t contribute towards achieving these.

When we change the way we attend, a different world can come forth, for ourselves, others we are interacting with, and the environment we are operating within. When we know how to really, truly, and deeply attend, and observe, we can go to our place of deeper knowing, rethink and then act swiftly and inflow to effect the transformational breakthroughs that change the world as we know it.

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 customized as a bespoke corporate learning program.

Image Credit: Pixabay

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