Category Archives: Innovation

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.

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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.

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Struggling to Innovate? Try This Instead

Struggling to Innovate? Try This Instead

GUEST POST from Robyn Bolton

Everyone is an innovator on January 1.

That’s the day when each of us resolves to do something new that creates value.

  • Start working out so I lose weight, look better, and feel healthier.
  • Stop smoking, so I live longer.
  • Turn off my computer and phone at 6:00 pm so I focus on family.

Only 20% of people are innovators on February 1. The rest of us gave up our resolutions and decided to keep doing the same things that create (good enough) value.

Your business is no different.

At the start of the fiscal year, you resolve to innovate!

  • Explore new offerings, customers, and business models
  • Experiment with new ways to get things done
  • Enter new markets

Then something goes wrong, and you divert some people (not everyone!) from innovating to fixing an operational problem.

Then the first quarter starts coming in below expectations, and you cut budgets to stay on track to deliver the bottom line.

Then something else happens, and something else, and something else, and soon it’s “February 1,” and, for excellent and logical reasons, you give up your resolution to innovate and focus all your resources on operating and hitting your KPIs.

Resolve to Revive.

Innovation is something NEW that creates value.

New is hard. It’s difficult to start something new, and it’s challenging to continue doing it when things inevitably go awry. Investing in something uncertain is risky, primarily when more “certain” investment opportunities exist. It’s why New Year’s resolutions and Innovation strategies don’t stick.

Revival is the creation of new value from OLD.

When you work on Revival, you go back to the old things, the things you explored, tried, implemented, or even launched years ago that didn’t work then but could create more value than anything you’re doing today.

Your business is filled with Revival opportunities.

How to Reveal Revivals

Ask, “What did we do before…?”

Everything we do now – research, development, marketing, sales, communication, M&A – was done before smartphones, laptops, desktops, and even mainframes. Often new technology makes our work easier or more efficient. But sometimes, it just creates work and bad habits.

If you are trying to make Zoom/Teams calls less exhausting and more productive, try to remember meetings before Zoom/Teams. They were conference calls. So, next time you need to meet, revive and schedule a phone conference (or a cameras-off Zoom/Teams call).

Find the failures

Most companies are highly skilled at hiding any evidence of failure. But the memories and stories live on in the people who worked on them. Talk to them, and you may discover a blockbuster idea that failed for reasons you can quickly address.

Like Post-It Notes.

While some parts of the Post-Its story are true – the adhesive was discovered by accident and first used to bookmark pages in a hymnal, most people don’t know that 10 YEARS passed between hymnal use and market success. In that decade, the project was shelved twice, failed in a test market, and given away as free samples before it became successful.

Resurrect the Dead

The decision to exit a market or discontinue a product is never easy or done lightly. And once management makes the decision, people operate under the assumption that the company should never consider returning. But that belief can sometimes be wrong.

Consider Yuengling, America’s oldest brewery and one of its old ice cream shops.

In 1829, David G. Yuengling founded Eagle Brewing in Pottsville, PA. The business did well until, you guessed it, Prohibition. In 1920, D.G. Yuengling & Sons (formerly Eagle Brewing) built a plant across the street from their brewery and began producing ice cream. When Prohibition ends, brewing restarts, and ice cream production continues. Until 1985, when a new generation takes the helm at Yuengling and, under the guise of operational efficiency and business optimization, shut down the ice cream business to focus on beer. TWENTY-NINE YEARS later, executives looking for growth opportunities remembered the ice cream business and re-launched the product to overwhelming customer demand.

Just because you need growth doesn’t mean you need New.

Innovation is something new that creates value. But it doesn’t have to be new to the world.

Tremendous value can be created and captured by doing old things in new ways, markets, or eras.

After all, everything old is new again.

Image credit: Pexels

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How to Lead Innovation and Embrace Innovative Leadership

How to Lead Innovation and Embrace Innovative Leadership

GUEST POST from Diana Porumboiu

Leaders are bombarded from all directions with advice on how to behave as leaders. It seems like we all know what it takes to lead innovation, at least in theory, yet the attention is mostly focused on famous innovators who oftentimes are the exceptions, rather than the rule.

What’s more, we tend to forget that the greatest, most famous innovators, with all their qualities and contributions to the world, are not necessarily the best of leaders. Great leaders who rarely make the headlines, if they ever do, are usually less controversial.

However, their lack of fame doesn’t diminish their innovativeness. That’s why this article wants to provide some insights into what it takes to lead innovation with the practices, methods, behaviors, and mindsets of successful innovation leaders.

As our previous article focused on nurturing innovative behaviors in employees, this time we’re down to some practical aspects of leading innovation at an organizational level.

Innovative leadership and commitment

McKinsey research sheds some light on what successful innovators get right, and how their organizations become high performing by committing to a set of essential practices.

In short, their survey revealed that the bar is rising among innovators, and during the past five years they have become more successful at innovation as they committed to a larger array of operating models. In 2016 high performing innovators focused mostly on vision and strategy. But In 2021 they pulled further away from competitors by extending their focus to new business models and to scaling their innovations faster and more effectively.

These are all interesting insights into how innovation practices support the growth of organizations. But what are they telling us about specific abilities and behaviors required to lead innovation? To better understand this, let’s look into some of the research conducted by Linda A. Hill, top expert on leadership, change and innovation, who paints a clearer picture of the specific qualities.

  • Adaptability

In times filled with ambiguity and uncertainty, it’s becoming more difficult to make decisions and guide others on the right path. Adaptability might come natural to some people, but others need to cultivate it through practice, exposure to different circumstances and activities. Developing adaptive behavior helps in taking bolder decisions, an essential aspect for innovation.

We’ve seen in other cases how innovators with strong convictions on their vision or new ideas are not very open to new data. This is tough to balance: maintaining your confidence and showing the way for the team, while remaining adaptable.

Practical tip: Instead of building a detailed project plan for an innovation project, try building a plan based around clear goals and time framed milestones, but leave room for the team to figure out the path to get to them.

  • Comfort with ambiguity

This is closely linked to the previous point because to become comfortable with ambiguity you also have to adapt and operate in a somehow hazy and confusing reality. This is very important especially in the early beginnings of innovation, when the fuzzy front-end stage of the innovation process creates a lot of ambiguity.

But as you might know, innovation means to dive in the unknown from time to time. As a leader you need to navigate the tough road of visualizing the goals for the team while admitting that you might not always know the way. At the same time, you want to get the team on the same journey and help them feel comfortable with that ambiguity.

Practical tip: Managing innovation is one way of becoming more comfortable with ambiguity. We created a free, in-depth guide on how to manage innovation which you might find useful. This is a comprehensive toolkit that can help you plan your strategy, build your processes, and drive more innovation in the oganization. You can find it here.

  • Curiosity

Curiosity pushes innovators to new discoveries. It’s also what fuels learning and change. As a leader you need to be able to learn and prepare for the future. Sure, curiosity, even more than adaptability can’t be easily measured or taught. But curious leaders should always ask questions, and not just any questions.

The best innovators understand things deeply and address root problems, not just surface level symptoms.

Practical tip: Whether you are naturally curious or trying to boost curiosity in the team, the five whys is an effective technique for getting to the root of underlying problems. The idea behind this technique is to ask “why” five times in a row, whether you think you previously received a good answer or not.

Viima Five Whys

  • Creativity

Creativity plays an important role in innovation, whether it fosters novel ideas or ingenious solutions. However, being creative is not enough to make innovation happen. Many leaders consider creativity an important skill for leading innovation. This begs the question: should leaders be the most creative ones, or should they work to enable creativity in others?

The answer lies somewhere in the middle, as creative leadership is essential in bringing clarity and purpose to the team. A creative leader can change perceptions and show the way. However, the strength of leaders who lead for innovation lies in managing for creativity. So as a leader you don’t have to be the source of all genius ideas but engage people at the right time to do the creative work.

To sum this up, there is a role for leaders in creative work, but not in the traditional sense of generating ideas and asking others to implement them.

Practical tip: If you want to spur creativity in your team try setting constraints and challenge the team to come up with solutions despite perceived challenges. Inevitably, the environment in which you operate will come with some constraints, whether those are operational, financial, legal or of a different nature.

Don’t look at constraints as negative things. Research shows that innovators usually succeed because of constraints, not despite of them. Brian Chesky, Airbnb co-founder & CEO believes “constraints create creativity” and without some of those he probably wouldn’t have done half the creative decisions that would lay the foundations for Airbnb’s remarkable success.

Practical steps to lead innovation

If leading innovation were that simple, we’d have more leaders and organizations excelling at it. However, as difficult as it might sound it’s not impossible and luckily, we have plenty of examples to learn from.

survey conducted by Forbes among 100 innovation leaders revealed that their success lies in actively trying to build and shape their organization for the future. This means that they actively challenge the status quo, experiment, ask questions, are keen observers and engage in conversations with people who are very different from them.

This discovery work of observing, learning, and experimenting leads to better decision making on less risky ideas with higher impact.

Start with the big picture…

The best innovation leaders aren’t just visionaries, who set big goals that show the way to the future. They also enable people to work through the challenges by removing barriers and empowering them to hop on the same boat towards that future.

  • Start with the strategy because any innovation program should be anchored to an organization-wide strategy. Just with the vision and without a tangible business case you don’t really have innovation.
  • Come up with a plan that stirs everyone in the same direction.

Many innovators, especially those who disrupt their industry, are not the best executors and sometimes they don’t have to be, if they have the right people on the job. To this end, collaboration and co-creation are essential, just as it is the empowerment of those who are knowledgeable to make important decisions to get to those goals.

A high-level plan which serves as a good example of how innovators set clear, ambitious goals is Elon Musk’s series of Master Plans, from 2006, 2016 and the 2022 one, to be released soon. These plans played an important role in Tesla’s success, giving a clear direction for the future illustrating how they are actually going to move towards fulfilling their mission of accelerating world’s transition to sustainable energy.

Tesla Unsplash

Of course, there’s more to a plan than an ambitious statement, but people need to be inspired, to feel that through their work they can change the world around them. That being said, an ambitious plan still needs to be flexible to some degree to allow for different ways of achieving it.

The cleverness of these master plans lies in their simplicity which makes them easy to understand and remember. They capture the big picture but still leave room for the team to find the best way of accomplishing them.

…then zoom in on the details

  • To achieve those ambitious goals, leaders need innovative teams, and to nurture internal talent.

With internal scouting systems organizations can develop the skills of existing teams. As is the case with innovation, if you can’t buy something, you have to build it yourself.

It’s beyond the scope of this article to talk about the winning strategies in the war for talent, but there should be a stronger focus on nurturing existing talent and creating the capabilities to innovate through talent development programs, learning opportunities, and a positive employee experience.

Innovation can come from various areas of the organization, and it all comes down to how employees are led to innovate. Former Volkswagen CMO, Luca de Meo managed to unify VW’s branding by discovering and nurturing the mutual sense of purpose of the employees.

He achieved this by involving employees in the creation of a centralized brand. For example, one brainstorming workshop was organized as a design lab to prototype, test, analyze and openly discuss ideas with employees from different departments and areas of expertise.

Engaging employees in innovation work can unlock the wealth of knowledge in an organization. Empowering them to innovate it’s even more powerful, as employees become innovators themselves. As Linda Hill also observes, people’s talents are not used to their fullest, but when it eventually happens, the results show up as well. In Volkswagen’s case, de Meo’s approach was fruitful, the brand moving up the global ranks from 55th to 39th.

…and take one step at a time towards that goal

The last piece to the puzzle, and maybe the most important is to take things one at a time while keeping your options open. There’s a lot of emphasis on the bigger picture, planning and strategy, but these won’t eliminate ambiguity.

So, the best way forward is to keep that vision in mind and help the organization move towards it. You don’t need to know each step in your path in advance, as long as you keep up a good pace and keep moving in the right direction, one step at a time.

Like with all innovative work, you’ll encounter challenges and things won’t ever go as planned, so be prepared to alter the initial plan. That’s why it’s not advised to put all your eggs in one basket. As John Carter explains, you need two interlinked systems that can help you select and grow the best products or ideas.

  • An annualsystematic portfolio planning process, tied to budgeting, and
  • An ongoing, agile, portfolio management process

Another thing to consider is the modular approach, which helps speed up learning. As Rita McGrath explains in this recent article, making your offerings modular you can begin to generate benefits early in the projects’ life. Put together, these two approaches are very helpful in building capabilities that provide economies of scale while still remaining flexible.

Leading innovation by example

In the following section we didn’t go for single success stories of leaders because systematic innovation doesn’t come down to one person. Instead, we’ll show at a higher level how leadership models enabled everyone in the organization to turn innovation into an everyday habit.

Netflix

Even though Netflix might go through a rough patch, we can’t deny its leading position as an innovator in the entertainment industry. From a DVD sales and rental company to a global streaming service, the current organizational structure at Netflix provides plenty of freedom and responsibility to its employees.

Netflix is divided in three main divisions and is maintaining the principles of total quality management: the functional team (CEO, legal, content communication etc.), geographical teams (in charge of local and international streaming) and the product teams who ensures the effectiveness of operations. This unitary form, the corporate headquarters direct strategies implemented in geographical divisions.

Viima Netflix Org Structure

  • The first division, the functional one, is led by Reed Hastings, CEO and Ted Sarandos, Co-CEO. They meet regularly with the R-staff, the group made of Netflix veterans and the general counsel.
  • The next in line is the E-staff group, made of executives who oversee different teams within the company. They each have a different area of focus, like platform engineering, regional marketing and content.
  • There is also a group of directors, below the vice presidents, who meet to review the current state of the company.

The flat organizational structure at Netflix encourages a culture of independent decision making, openness, high effectiveness, and flexibility. This approach to leadership is based on their business need of staying ahead of the curve by making decisions fast.

Apple

Apple is to this day one of the most innovative companies, and much of its success is attributed to Steve Jobs. However, in this case we won’t focus on his leadership skills, which are rather controversial, but on his legacy and how the company’s structure has evolved over the years.

What makes Apple unique is that it’s organized around expertise, rather than the traditional business units.

This requires open mindedness from senior leaders, to inspire, and influence colleagues to contribute towards the goals. Ultimately, decisions are made in a coordinated manner by the most qualified people. There are no general managers at Apple. Instead, there are expert leaders who need to have 3 main characteristics.

  • Deep expertise.

It’s easier to train an expert to be a manager than to train a manager to be an expert. So, at Apple experts lead experts. They have over 600 experts working on camera hardware technology, and they are led by Graham Townsend (a camera expert himself).

  • Deep immersion in the details.

In Apple’s case leaders should know the details of their organization 3 levels down and be able to push, probe and smell an issue and know which issue is important and where to focus attention. For example, they are very particular with the shape of the corners of their devices. Apple leaders insist on continuous curves, a small difference but executing it demands that they commit to precise manufacturing.

This relentless pursuit of perfection is what differentiates some companies. Even though overdoing it can lead to micromanagement and make feel employees like they are not trusted, you need to strike a balance between the two.

  • Willingness to collaboratively debate.

Having so many teams of experts requires a lot of back and forth and debate. An overly polite culture can hinder creativity, as people might not speak up because they don’t want to upset someone. So, creative abrasion is very important in collaborative work.

To develop the dual lens camera portrait mode, Apple had 40 teams of specialists working together and they disagreed, pushed back, promoted or rejected ideas and build on top of each other’s ideas.

At the same time, leaders should be able to make decisions even when there’s no data available. For this, they first have to listen to everyone. It might be that there is no agreement or reliable information that can help in the decision making, but that’s where good leaders excel and what Jobs did at Apple as well. He used his own judgment to make decisions, even though not everyone was happy about those. Otherwise, debates could go on forever, become bottlenecks or compromises that lead to substandard results.

Apple Unsplash

However, there are also challenges that come with Apple’s managerial structure, which is not very common in other companies. When organizations grow, their leadership also needs to adapt and scale accordingly.

For example, while the number of employees grew eight times, the number of VPs reporting to executives only doubled. To handle all the new responsibilities, they could no longer be immersed in the details. So, they decided to focus on a few core activities that bring most value and those that require less attention are pushed down to people who are trained to handle them. That being said, leadership models need to be flexible in any innovative, growing organization.

Conclusion

With the right leadership, processes and structures in place, innovation can thrive in your organization. As leaders is important to set ambitious goals which can inspire and show the way for your team.

Innovation can seem like an insurmountable task. Even though the details matter and aspiring to excellence is important, you always have to keep focused on the end goal and take one step at a time towards that. At the same time, keep an open mind, stay curious and inspire others to follow suit.

In the end, leading innovation also means building the capabilities, processes and environment that foster innovation and encourage others to become innovators.

This article was originally published in Viima’s blog.

Image credits: Viima, Unsplash, Pexels

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