Category Archives: Innovation

A New Age Of Innovation and Our Next Steps

A New Age Of Innovation and Our Next Steps

GUEST POST from Greg Satell

In Mapping Innovation, I wrote that innovation is never a single event, but a process of discovery, engineering and transformation and that those three things hardly ever happen at the same time or in the same place. Clearly, the Covid-19 pandemic marked an inflection point which demarcated several important shifts in those phases.

Digital technology showed itself to be transformative, as we descended into quarantine and found an entire world of video conferencing and other technologies that we scarcely knew existed. At the same time it was revealed that the engineering of synthetic biology—and mRNA technology in particular—was more advanced than we had thought.

This is just the beginning. I titled the last chapter of my book, “A New Era of Innovation,” because it had become clear that we had begun to cross a new rubicon in which digital technology becomes so ordinary and mundane that it’s hard to remember what life was like without it, while new possibilities alter existence to such an extent we will scarcely believe it.

Post-Digital Architectures

For the past 50 years, the computer industry—and information technology in general—has been driven by the principle known as Moore’s Law, which determined we could double the number of transistors on chips every 18 months. Yet now Moore’s Law is ending and that means we will have to revisit some very basic assumptions about how technology works.

To be clear, the end of Moore’s Law does not mean the end of advancement. There are a number of ways we can speed up computing. We can, for instance, use technologies such as ASIC and FPGA to optimize chips for specialized tasks. Still, those approaches come with tradeoffs, Moore’s law essentially gave us innovation for free.

Another way out of the Moore’s Law conundrum is to shift to completely new architectures, such as quantum, neuromorphic and, possibly, biological computers. Yet here again, the transition will not be seamless or without tradeoffs. Instead of technology based on transistors, we will have multiple architectures based on entirely different logical principles.

So it seems that we will soon be entering a new era of heterogeneous computing, in which we use digital technology to access different technologies suited to different tasks. Each of these technologies will require very different programming languages and algorithmic approaches and, most likely, different teams of specialists to work on them.

What that means is that those who run the IT operations in the future, whether that person is a vaunted CTO or a lowly IT manager, will be unlikely to understand more than a small part of the system. They will have to rely heavily on the expertise of others to an extent that isn’t required today.

Bits Driving Atoms

While the digital revolution does appear to be slowing down, computers have taken on a new role in helping to empower technologies in other fields, such as synthetic biology, materials science and manufacturing 4.0. These, unlike so many digital technologies, are rooted in the physical world and may have the potential to be far more impactful.

Consider the revolutionary mRNA technology, which not only empowered us to develop a Covid vaccine in record time and save the planet from a deadly pandemic, but also makes it possible to design new vaccines in a matter of hours. There is no way we could achieve this without powerful computers driving the process.

There is similar potential in materials discovery. Suffice it to say, every product we use, whether it is a car, a house, a solar panel or whatever, depends on the properties of materials to perform its function. Some need to be strong and light, while others need special electrical properties. Powerful computers and machine learning algorithms can vastly improve our ability to discover better materials (not to mention overcome supply chain disruptions).

Make no mistake, this new era of innovation will be one of atoms, not bits. The challenge we face now is to develop computer scientists who can work effectively with biologists, chemists, factory managers and experts of all kinds to truly create a new future.

Creation And Destruction

The term creative destruction has become so ingrained in our culture we scarcely stop to think where it came from. It was largely coined by economist Joseph Schumpeter to overcome what many saw as an essential “contradiction” of capitalism. Essentially, some thought that if capitalists did their jobs well, then there would be increasing surplus value, which would then be appropriated to accumulate power to rig the system further in capitalists favor.

Schumpeter pointed out that this wasn’t necessarily true because of technological innovation. Railroads, for example, completely changed the contours of competition in the American Midwest. Surely, there had been unfair competition in many cities and towns, but once the railroad came to town, competition flourished (and if it didn’t come, the town died).

For most of history since the beginning of the Industrial Revolution, this has been a happy story. Technological innovation displaced businesses and workers, but resulted in increased productivity which led to more prosperity and entirely new industries. This cycle of creation and destruction has, for the most part, been a virtuous one.

That is, until fairly recently. Digital technology, despite the hype, hasn’t produced the type of productivity gains that earlier technologies, such as electricity and internal combustion, did but actually displaced labor at a faster rate. Put simply, the productivity gains from digital technology are too meager to finance enough new industries with better jobs, which has created income inequality rather than greater prosperity.

We Need To Move From Disrupting Markets To Tackling Grand Challenges

There’s no doubt that digital technology has been highly disruptive. In industry after industry, from retail to media to travel and hospitality, nimble digital upstarts have set established industries on their head, completely changing the basis upon which firms compete. Many incumbents haven’t survived. Many others are greatly diminished.

Still, in many ways, the digital revolution has been a huge disappointment. Besides the meager productivity gains, we’ve seen a ​​global rise in authoritarian populism, stagnant wages, reduced productivity growth and weaker competitive markets, not to mention an anxiety epidemic, increased obesity and, at least in the US, decreased life expectancy.

We can—and must—do better. We can learn from the mistakes we made during the digital revolution and shift our mindset from disrupting markets to tackling grand challenges. This new era of innovation will give us the ability to shape the world around us like never before, at a molecular level and achieve incredible things.

Yet we can’t just leave our destiny to the whims of market and technological forces. We must actually choose the outcomes we prefer and build strategies to achieve them. The possibilities that we will unlock from new computing architectures, synthetic biology, advanced materials science, artificial intelligence and other things will give us that power.

What we do with it is up to us.

Image credit: Pixabay

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

The Role of Design Thinking in Disruptive Innovation

Exploring How Applying Design Thinking Principles Can Help Businesses Uncover New Market Opportunities Amidst Industry Shifts

The Role of Design Thinking in Disruptive Innovation

GUEST POST from Art Inteligencia

In today’s rapidly changing business landscape, disruptive innovation has become a crucial driver of success. As industries undergo significant shifts, businesses must continually adapt and uncover new market opportunities to remain competitive. Design thinking, a human-centered approach to problem-solving, offers a unique perspective and methodology that empowers organizations to navigate uncertainty and embrace disruption. This article delves into the role of design thinking in disruptive innovation and presents two compelling case studies that highlight its impact on uncovering new market opportunities.

Case Study 1: Airbnb – Reimagining the Hospitality Industry

As an excellent example of design thinking’s power in disruptive innovation, Airbnb revolutionized the hospitality industry by tapping into an unconventional market opportunity. In the early 2000s, traditional hotel chains dominated the accommodation sector. However, Airbnb recognized that people’s travel desires were changing and saw an opportunity to leverage underutilized assets like spare rooms and vacant homes. By employing design thinking principles, Airbnb created a platform where homeowners could rent out their spaces to travelers, disrupting the traditional hotel model.

Design thinking played a pivotal role in Airbnb’s success by focusing on understanding users’ needs, defining the problem, and generating innovative solutions. Through extensive user research, conducting empathy interviews, and observing the pain points of both homeowners and travelers, Airbnb gained deep insights into the market dynamics. This empathetic understanding helped them design an intuitive platform that provided a better and more personalized experience, establishing a thriving community of homeowners and travelers worldwide.

The combination of rigorous prototyping, iterative testing, and quick feedback loops allowed Airbnb to continuously refine its offerings. By embracing design thinking, Airbnb not only identified a disruptive market opportunity but also built a scalable and sustainable business model that transformed the hospitality industry.

Case Study 2: Tesla – Evolving the Electric Vehicle Market

Tesla, an exemplary disruptor in the automotive industry, showcases the effectiveness of design thinking principles in uncovering new market opportunities. In an industry long dominated by petrol-powered vehicles, Tesla recognized the need for sustainable transportation solutions and took on the challenge of developing electric vehicles (EVs) that could compete with traditional cars in performance and desirability.

Design thinking guided Tesla in understanding user pain points and designing electric vehicles that were not only environmentally friendly but also embraced cutting-edge technology and luxury. By conducting user research and immersing themselves in potential customers’ experiences, Tesla discovered that range anxiety and limited charging infrastructure were significant barriers to EV adoption. To address these concerns, Tesla focused on developing innovative battery technology and strategically building a vast Supercharger network, enabling long-distance travel and minimizing charging time.

Tesla’s commitment to iterative design, continuous improvement, and user-centricity has propelled its success. By applying design thinking, Tesla not only disrupted the automotive industry but also influenced mainstream automakers to invest in electric vehicle technology.

Conclusion

Design thinking is an invaluable tool for businesses seeking to uncover new market opportunities amidst industry shifts. The case studies of Airbnb and Tesla demonstrate how this human-centered approach can enable organizations to identify disruptive innovations and create transformative solutions. By placing users’ needs at the core of decision-making and employing a combination of empathy, prototyping, and iteration, businesses can navigate uncertainty, challenge the status quo, and thrive in ever-evolving market landscapes. Embracing design thinking is our pathway to harnessing the power of disruptive innovation and shaping the future of industries.

Bottom line: Futurology is not fortune telling. Futurists use a scientific approach to create their deliverables, but a methodology and tools like those in FutureHacking™ can empower anyone to engage in futurology themselves.

Image credit: Pexels

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

Innovation Beyond Products

Transforming Services and Experiences

Innovation Beyond Products

GUEST POST from Art Inteligencia

In the rapidly evolving landscape of business, innovation is no longer confined to the development of new products. Today, transformative potential lies also in re-imagining services and crafting exceptional customer experiences. The journey of excellence now encompasses every touchpoint of interaction a customer has with a business. As organizations seek to differentiate themselves, the true competitive edge is found in service and experience innovation. This article delves into how companies can transcend product innovation and transform their service offerings, backed by compelling case studies that illustrate this paradigm shift.

The Evolution of Innovation

For decades, innovation has been synonymous with creating groundbreaking products. However, as markets saturate and customer expectations evolve, the focus has shifted. The modern consumer demands more than a product; they seek holistic experiences that resonate on personal and emotional levels. This change requires businesses to adopt a new approach—one that intertwines service, experience, and technological advancements.

Key Components of Service and Experience Innovation

To successfully innovate services and experiences, companies should consider the following components:

  1. Customer-Centric Approach: Putting the customer at the heart of innovation efforts.
  2. Seamless Integration of Technology: Leveraging advanced technologies to enhance service delivery.
  3. Personalization: Tailoring services to meet individual customer needs and preferences.
  4. Emotional Connection: Creating meaningful interactions that foster customer loyalty.
  5. Continuous Improvement: Iterating and refining services based on feedback and evolving expectations.

Case Study 1: Disney – Creating Magic Beyond the Rides

Understanding the Challenge

Disney’s theme parks are renowned for their attractions, yet the magic of Disney extends far beyond the rides. The challenge they faced was to deliver a seamless and enchanting experience from the moment guests decide to visit until they leave the park.

Innovative Solutions

  1. MyMagic+: Disney introduced the MyMagic+ system, which includes the MagicBand wearable device. This band serves as a ticket, hotel key, FastPass access, and payment method, streamlining the entire guest experience.
  2. Personalized Interactions: With MagicBands, cast members can address guests by name and offer personalized experiences, elevating the sense of magic and personal connection.
  3. Data Utilization: Disney leverages data from MyMagic+ to anticipate guest needs, manage crowds, and enhance overall park efficiency.

Results

The MyMagic+ initiative transformed how guests experience Disney parks. It minimized wait times, personalized interactions, and provided convenience like never before. Disney’s commitment to enhancing the customer experience solidified its position as a leader in the entertainment industry.

Case Study 2: Starbucks – Crafting a Personalized Coffee Journey

Understanding the Challenge

Starbucks, a global coffee giant, faced the challenge of standing out in a fiercely competitive market. As customers sought more than just a cup of coffee, Starbucks needed to innovate in its service delivery and customer engagement.

Innovative Solutions

  1. Mobile Order & Pay: Starbucks introduced a mobile app that allows customers to place orders and pay before arriving, reducing wait times and increasing convenience.
  2. Personalization Engine: The app leverages data to offer personalized recommendations based on individual preferences and past purchases.
  3. Starbucks Rewards: A loyalty program integrated into the app encourages repeat visits by offering points, rewards, and exclusive offers tailored to each customer.

Results

The mobile app not only increased customer satisfaction but also boosted sales and efficiency. By creating a seamless, personalized coffee journey, Starbucks strengthened its customer loyalty and solidified its brand identity as more than just a coffee shop.

Conclusion

Innovation beyond products is not merely an option but a necessity in today’s business environment. By focusing on service and experience, companies can create deeper connections with their customers, driving loyalty and sustainable growth. The examples of Disney and Starbucks highlight the transformative power of reimagining customer interactions. Organizations that embrace this approach will be well-positioned to thrive in an ever-changing market, delivering value that transcends traditional product offerings.

As we move forward, remember: innovation is an ongoing journey. It requires a relentless commitment to understanding your customers, leveraging technology, and continuously refining the experiences you offer. By doing so, you can truly transform services and elevate customer experiences to new heights.

Feel free to share your thoughts and experiences in the comments below. How have you seen service and experience innovation make a difference in your industry?

Bottom line: Futurology is not fortune telling. Futurists use a scientific approach to create their deliverables, but a methodology and tools like those in FutureHacking™ can empower anyone to engage in futurology themselves.

Image credit: misterinnovation.com

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

Creating a Culture of Continuous Change and Innovation

Creating a Culture of Continuous Change and Innovation

GUEST POST from Chateau G Pato

In the rapidly evolving landscape of today’s business world, standing still is not an option. Companies must continually adapt and innovate to stay competitive. But how do you create a culture that not only embraces change but thrives on it? Let’s explore the building blocks of a culture of continuous change and innovation, enriched with real-world case studies.

Key Elements of a Culture of Continuous Change and Innovation

Establishing a culture of continuous change and innovation requires a multifaceted approach. Here are the essential elements:

  • Leadership Commitment: The drive for innovation starts at the top. Leaders must actively support and participate in change initiatives.
  • Employee Engagement: Employees at all levels should feel empowered to contribute their ideas and take ownership of change.
  • Open Communication: Transparency and open lines of communication are crucial for fostering an environment where new ideas can flourish.
  • Continuous Learning: An organization should invest in learning and development opportunities to keep its workforce equipped with the latest skills and knowledge.
  • Recognition and Rewards: Highlight and reward innovative ideas and successful changes to motivate ongoing contributions.

Case Study 1: 3M, A Legacy of Innovation

3M, the multinational conglomerate, is a sterling example of a company with a culture of continuous innovation. The company’s leadership encourages a robust R&D effort, dedicating a significant portion of its budget to research and development. This commitment is mirrored in policies such as the “15% rule,” which allows employees to dedicate 15% of their work time to pursuit of their own projects and ideas.

One of the most famous products to come out of this policy is the Post-it Note, invented by Art Fry. His idea was initially met with skepticism, but with continued support and the freedom to explore, it became one of the most iconic office supplies ever created. This open environment and leadership’s commitment to innovation have played a significant role in making 3M a leader in multiple industries.

Case Study 2: Google’s 20% Time

Google provides another powerful case study. The tech giant encourages its employees to spend 20% of their work hours on innovative projects of their own choosing. This approach has fostered an incredible breadth of creativity and has led to some of Google’s most successful products, including Gmail and AdSense.

Google’s work culture underscores the importance of giving employees the freedom to innovate and experiment. Leadership’s willingness to support and invest in even the most speculative ideas has cemented Google’s reputation as a technological and business innovator. Google’s focus on transparency and continuous learning further amplifies their capacity for innovation.

Practical Steps to Foster a Culture of Innovation

Initiating a culture of continuous change and innovation in your own organization can be challenging, but these actionable steps can help pave the way:

  • Define Your Innovation Goals: Clearly articulate what innovation means to your company. Set specific, measurable goals.
  • Encourage Cross-Departmental Collaboration: Break down silos and promote the exchange of ideas across different departments.
  • Allocate Time for Innovation: Adopt policies like 3M’s 15% rule or Google’s 20% time to give employees the space to innovate.
  • Celebrate Successes and Failures: Acknowledge the efforts of your employees regardless of the outcome. Learning from failures is as critical as celebrating successes.
  • Create Innovation Labs: Establish dedicated spaces where employees can experiment without the pressure of day-to-day responsibilities.

Conclusion

Creating a culture of continuous change and innovation is not merely a strategic advantage; it’s a necessity in today’s ever-changing business environment. By focusing on leadership commitment, employee engagement, continuous learning, and open communication, companies can foster an atmosphere where innovation thrives. The success stories of organizations like 3M and Google illustrate the transformative power of a well-nurtured culture of innovation. Implement the strategies outlined above and prepare to watch your organization not just adapt to change but lead it.

By embedding these principles deeply into the organizational fabric, continuous change and innovation become not just possible, but inevitable.

SPECIAL BONUS: The very best change planners use a visual, collaborative approach to create their deliverables. A methodology and tools like those in Change Planning Toolkit™ can empower anyone to become great change planners themselves.

Image credit: Pexels

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

Developing a Future-Fitness Focus

Developing a Future-Fitness Focus

GUEST POST from Janet Sernack

In a recent article “Organizing for the future: Nine keys to becoming a future-ready company” McKinsey and Co, suggested that the Covid-19 pandemic has added to the pressure to change that has been growing for many years, which is now at a tipping point. Where the most forward-looking leaders and teams see a larger opportunity – the chance to build on pandemic-related accomplishments and re-examine and reimagine the organisation’s identity, how it works, and how it grows. Referring to new research on the organizational practices of 30 top companies, they highlighted how businesses can best organize for the future – and it is all initiated by developing a human-centric, future-fit focus.

Inquiring as to how might we ensure that we capture the best of what we’ve learned and keep the digital momentum going through developing a future-fit focus within the post-COVID-19 world?

What is a future-ready organization?

The article goes on to state that future-ready companies share three characteristics that offer senior executives a “unique unfreezing opportunity” – oby co-creating new adaptive systems, that are purposeful, organic, and human-centric by:

  • Knowing who they are and what they stand for;
  • Operating with a fixation on speed and simplicity;
  • Growing by scaling up their ability to learn, innovate, and seek good ideas, regardless of their origin.

Seeing the world with fresh eyes – unlearning, re-learning, creativity and innovation

All of which need to be initiated and developed through acquiring a new lens: an ability to see the world with “fresh eyes” by letting go of many of our old mental models and paradigms to:

  • Co-create, with others, new openings and empty spaces for unlearning what may have previously been embraced and worked in the past.
  • Focus on developing a new future-fit focus that unleashes purposeful, speed, simplicity, and growth through unlearning, re-learning, creativity and innovation.

Letting go to let come

In almost every aspect of business, we are operating with mental models, paradigms, and mindsets that have become outdated or obsolete, from strategy to marketing, from organizational design, learning systems to leadership, teams, and even to coaching.

This means that the first and most crucial step in shifting towards a human-centric, future-fitness focus involves “unlearning.”

Because many of our old mental models and paradigms, which are mostly unconsciously embodied in our core mindsets, impact the choices and decisions we make, the behaviors we enact, and the results we get – and it seems, that in 2021 we are getting a lot of results that no-one particularly wants.

What do we mean by “unlearning” and why is it important?

A lot of the mental models and paradigms are embodied in our habitual mindsets, that many of us learned in school, university, or college, and even in 20th century learning programs and built our careers on are now incomplete, ineffective, and irrelevant in adapting, and in serving people to survive, grow and thrive the post-Covid-19 world.

This means that to embrace a future-fit focus we have to first unlearn the old ones.

“Unlearning” is not about forgetting.

It’s about paying deep attention and developing the awareness to see, and step outside of our old mental models or paradigms and pay attention, and be consciously aware of the:

  • Mindsets we are embodying;
  • Behaviors we are enacting;
  • and the results we are manifesting.

Either because reality has changed or because current approaches are based on flawed or rigid thinking, faulty premises, and assumptions, or via a different consumer or technological landscape.

To then consciously choose, experiment, make distinctions, and bravely re-learn how to shift towards developing different, diverse, and more resourceful future-readiness.

The good news is that practicing “unlearning” will make it easier and quicker to make the necessary future-fit shifts as our brains become adaptive, through the process of neuroplasticity.

What are the key steps in “unlearning”?

  1. Being fully present, composed, and detached in adopting a beginner’s mind involving periodically challenging, questioning, and reassessing deeply held theories, archetypes, and conventions to provoke and evoke creative new ideas and innovative solutions.
  2. Allowing things to be and not needing to be in control, or in charge, being comfortable with being uncomfortable and willing to explore uncertainty, constraints, and threats as opportunities from a whole person and whole systems perspective.
  3. Wandering into wonder in the unknown to bravely adopt a “not knowing” stance and be more open-hearted, childlike and joyful, by bringing in awe, curiosity, and playfulness into your space.
  4. Recognizing and discerning that some of your old mental models, paradigms, and mindsets are no longer relevant or effective and be open-minded, through being inquisitive, curious, and creative in experimenting with new ones.
  5. Imagining, finding, or creating new mental models, paradigms, and mindsets that can help you adapt, innovate and better achieve your goals and growth objectives and focus on developing your capacity, confidence, and competence in being agile: the ability to create intentional shifts in different and changing contexts to re-program the mind.
  6. Ingraining the new future-fit mindsets as emotional and mental habits through attending and observing, being empathic and compassionate, questioning and inquiring, generative listening and debate, experimenting, smart risk-taking, and networking across boundaries.

What gets in the way of “unlearning”?

At ImagineNation™ we specialize in designing and delivering bespoke adult learning solutions that embrace a range of future fit mindsets, behaviors, and skills.

Whilst we have found that many leaders, teams, executives, and coaches are willing to unlearn, and re-learn, many are not.

Requiring our coaches, trainers, and facilitators to effectively resolve some of the key human-centric blockers to unlearning and re-learning including some peoples’:

  • Rigidity and fixedness in their own points of view and need to be “right” and in control of the situation.
  • Need to always appear to know, and their hesitancy around not wanting to look like they don’t actually know the answers or solutions, and are therefore incompetent.
  • Busyness, where they are too task focussed to make the time to hit their pause buttons, retreat and reflect, to review options for being more effective, productive, and creative, by thinking and doing things differently.
  • Fear of loss, or lack of safety and permission to set aside the status quo to challenge assumptions and explore new possibilities and play with the art of the possible

Towards  a human-centric, future-fit focus

For most of us, the COVID-19 pandemic and its aftermath have upended our lives as we knew them,  and according to McKinsey & Co – the resulting pain, grief, and economic dislocation will be felt long into the future.

Reinforcing that the first priority for leaders and teams, therefore, is to become more purposeful and human-centric, to lead and role model a future-fit focus.

Aimed at increasing speed and improving simplicity and by strategically scaling up people’s ability to unlearn, relearn, innovate, and seek good ideas regardless of their origin.

By being curious and creative, connected, empathic and compassionate, confident and courageous, to revitalize, and reenergize, exhausted people, teams, and organizations, currently languishing in 2021.

This is the first of a series of blogs, podcasts, and webinars on Developing a Human-Centric Future-Fitness organisation.

More about us

Find out about The Coach for Innovators Certified Program, a collaborative, intimate, and deep personalized innovation coaching and learning program, supported by a global group of peers over 8-weeks, starting October 19, 2021. It is a blended learning program that will give you a deep understanding of the language, principles, and applications of a human-centered approach to innovation, within your unique context. Find out more.

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

The Future of Food

Sustainable Agriculture and Alternative Proteins

The Future of Food: Sustainable Agriculture and Alternative Proteins

GUEST POST from Chateau G Pato

A rapidly growing global population and the ever-present threat of climate change are transforming the future of food. Sustainable agriculture and alternative proteins offer promising solutions to ensuring a secure and nutritious food supply while reducing environmental impact. In this article, we explore how innovative approaches can pave the way to a more sustainable food system.

Sustainable Agriculture: The Road Ahead

Traditional farming methods are becoming increasingly unsustainable due to resource overuse, habitat destruction, and greenhouse gas emissions. However, sustainable agriculture practices are emerging as a viable alternative. Key strategies include:

  • Precision Agriculture: Utilizing technology to optimize irrigation, fertilization, and crop rotation. This approach boosts yield while minimizing waste and environmental impact.
  • Agroforestry: Integrating trees and shrubs into agricultural landscapes to improve biodiversity, soil health, and carbon sequestration.
  • Regenerative Farming: Adopting practices that restore soil health, such as no-till farming and cover cropping, which enhance the ecosystem’s resilience.

Case Study 1: Driscoll’s Berries

Driscoll’s, a prominent berry company, epitomizes the benefits of sustainable agriculture. With over 700 independent growers, Driscoll’s has adopted:

  • Water Conservation Techniques: Employing sensors and drip irrigation systems to reduce water usage.
  • Integrated Pest Management: Using natural predators and biological controls to minimize pesticide use.
  • Organic Farming: Transitioning certain operations to organic practices, resulting in healthier soil and ecosystems.

These innovative practices not only improve sustainability but also enhance the flavor and quality of their berries.

Alternative Proteins: Meeting Demand Without Compromise

With the global demand for protein on the rise, alternative proteins are becoming increasingly crucial. They offer a solution to the environmental and ethical concerns associated with traditional meat production. Key categories of alternative proteins include:

  • Plant-Based Proteins: Products like Beyond Meat and Impossible Foods mimic the taste and texture of meat using plant-derived ingredients.
  • Insect-Based Proteins: High in protein and low in environmental impact, insects such as crickets are emerging as a sustainable food source.
  • Cell-Cultured Meat: Lab-grown meat from animal cells offers the potential to produce real meat without the drawbacks of conventional farming.

Case Study 2: JUST, Inc.

JUST, Inc. is making waves in the alternative protein space with its innovative products:

  • JUST Egg: A plant-based egg substitute made from mung beans, offering a sustainable alternative to traditional eggs without sacrificing taste or texture.
  • Lab-Grown Meat: JUST is pioneering lab-grown chicken and other meat products, aiming to offer ethical and environmentally friendly options for carnivores.

Through extensive research and development, JUST, Inc. is setting a new standard in the food industry, contributing to a more sustainable and humane food system.

Conclusion

The future of food lies at the intersection of sustainable agriculture and alternative proteins. By embracing innovative practices and technologies, we can build a resilient food system that meets the growing global demand while protecting our planet. The successes of companies like Driscoll’s and JUST, Inc. provide a roadmap for others to follow, highlighting the immense potential of these transformative approaches.

The journey towards a sustainable future is challenging but achievable. It is imperative that stakeholders across the food system—from farmers to consumers, policymakers to entrepreneurs—commit to driving change. Together, we can cultivate a future where nutritious food is abundant and accessible, and our environment thrives for generations to come.

SPECIAL BONUS: The very best change planners use a visual, collaborative approach to create their deliverables. A methodology and tools like those in Change Planning Toolkit™ can empower anyone to become great change planners themselves.

Image credit: Unsplash

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

Innovation Ecosystems and Information Rheology

Innovation Ecosystems and Information Rheology

GUEST POST from Arlen Meyers

Rheology is the study of flow. There are many ways to measure flow. For example, Volume Flow is defined as the volume quantity that flows through a given section at a considered time interval. The most common volume units are:m3/s, m3/h, l/h, l/min, GPM (gallons per minute), Nm3/h (normal cubic meter per hour), SCFH (normal cubic foot per hour), among others.

Information rheology is the study of how information passes from the sender to the receiver, the resistance to that flow, and how to address it.

The concept applies also to how products and services flow from one place in the world to another.

A reverse innovation is any innovation that is adopted first in the developing world. To be clear: What makes an innovation a reverse innovation has nothing to do with where the innovators are, and it has nothing to do with where the companies are. It has only to do with where the customers are.

Historically, reverse innovation has been a rare phenomenon. In fact, the logic for innovations flowing downhill, from the rich world to the developing world, is natural and intuitive. After all, it is the richest customers in the richest countries that will always demand the newest technologies. In due time, the costs of new technologies come down, and incomes in the developing world rise. As a result, innovations trickle down. Right?

Be careful. The intuitive assumption that poor countries are engaged in a process of gradually catching up with the rich world has become toxic. It is a strategic blind spot that has the potential to sink an increasingly common aspiration: to generate high growth in the emerging economies. The assumption can even inflict long-term damage in home markets. That is because surprisingly often, reverse innovations defy gravity and flow uphill to the rich world. As a result, a defeat in a developing country half a world away can lead directly to a stinging blow in your own back yard.

How information flows, like on cell phones during riots and protests, is not an exact science. Percolation theory illuminates the behavior of many kinds of networks, from cell phone transmissions to the COVID R number.

Most discussions of innovation ecosystem creation and growth focus on the anatomy i.e. the components necessary to be successful. For example, one author describes the 5P’s of human capital:pillars, patrons, pioneers, professionals and partners.

However, equally as important is the physiology of clusters -how the cluster elements work together .One of the key determinants of an innovative organization or cluster is information rheology. There are three basic elements to the equation.

The first has to do with the number of nodes in the network, both internally and externally. Network theory tells us that the more nodes, the more value. Having one fax machine in the world added nothing. It took a lot to unleash the value , as the development of social media has exemplified.

The second has to do with how the nodes are connected. Some are robust and some are not. The connections between the nodes are called edges.

Finally, and most importantly, the two previous parts are not nearly as important as the velocity, relationships, acceleration and lack of resistance to the flow of information from one node to the next. We usually refer to this as a cluster or innovation district being “user friendly” and is typified by the free and rapid flow of information from one place to the next. Malcolm Gladwell described facilitators in the process as mavens, experts and connectors.

There are many causes of poor information flow, but, fundamentally, they come down to :

  1. 1. The sender does not communicate effectively or in a an appropriate way
  2. The receiver is unaware that the message was sent or does not understand it
  3. The systems for transmitting information and verifying receipt are inadequate
  4. Third party interference muddles the message

Poor information flow in sickcare results in dropped handoffs and referral leaks which are the primary causes of medical errors and waste. The lack of data interoperability is one of the root causes.

There are several kinds of intermediaries that facilitate information flow in an ecosystem.

  • Architects engage in strict agenda-setting and coordination activities
  • Gatekeepers support the knowledge extraction and dissemination of the information
  • Conductors take care of information acquisition, transmission, and task sharing
  • Developers create concrete assets for the network based on knowledge mobility
  • Auctioneers set the agenda and joint vision for the innovation network
  • Leaders motivate and foster the voluntary collaboration and identifying roles of network members
  • Promoter support ecosystem members to work towards the same goal
  • Facilitator bring together quite different, even competing, parties to work together

Whether it is making clinical handoffs better or improving the flow of information in an ecosystem or cluster, the obstacles are substantial and the systems for preventing information flow blockage need to constantly be maintained, which can be costly and time consuming.

If you want to accelerate regional innovation clusters and communities, don’t concentrate so much on connecting the senders and receivers. Focus on removing the barriers to the flow of information and how to push and pull it through the pipes.

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

The Future of Human-Centered Design

Emerging Trends and Predictions

The Future of Human-Centered Design

GUEST POST from Art Inteligencia

In an ever-evolving world driven by technology and innovation, human-centered design (HCD) places the end-user at the heart of the design process, ensuring that products, services, and systems are not only functional but also truly resonate with those who use them. As we gaze into the future, emerging trends and predictions offer a breathtaking vista of how HCD will transform. This article delves into these pioneering shifts, highlighting two compelling case studies that exemplify the future trajectory of HCD.

Emerging Trends in Human-Centered Design

The future of HCD is brimming with trends that promise to redefine user experiences and elevate empathy in design practices. Below are some significant trends along with their potential impact:

1. Artificial Intelligence and Machine Learning Integration

Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing HCD by automating user research and generating predictive analytics. Designers can utilize AI to better understand user behavior, preferences, and pain points, allowing for more personalized and adaptive experiences.

2. Augmented Reality and Virtual Reality

AR and VR technologies are expanding the possibilities within HCD by enabling immersive user testing, prototyping, and empathy-building. Designers can now create virtual environments to observe how users interact with products in a more lifelike and intuitive setting.

3. Inclusive and Accessible Design

Designing for accessibility is no longer a secondary concern. As awareness and regulations grow, inclusive design is becoming a primary focus, ensuring that products and experiences are accessible to all, regardless of ability within the physical, cognitive, and sensory spectrum.

4. Ethical Design and Data Privacy

In a data-driven era, ethical design principles that prioritize user consent, transparency, and privacy are increasingly critical. Future HCD practices will emphasize the importance of safeguarding user data and building trust.

5. Co-Creation and Participatory Design

Engaging users as active participants in the design process through co-creation strategies fosters innovative solutions that genuinely reflect user needs. This collaborative approach enhances the relevance and effectiveness of design outcomes.

6. Sustainable Design

Sustainability is becoming imperative in all design disciplines. Future HCD will integrate eco-friendly materials, energy-efficient processes, and lifecycle thinking to create sustainable systems that prioritize environmental impact and resource conservation.

Predictions for the Future

Looking forward, the impact of these trends will shape the following key areas:

1. Personalization at Scale

Predictive technologies will enable personalization on a massive scale, allowing for hyper-tailored user experiences that adapt dynamically to the user’s context, needs, and preferences.

2. Seamless Interaction Across Devices

Future HCD will yield seamless interoperability across various devices—from wearables and smartphones to IoT-enabled home appliances—creating a cohesive and fluid user journey.

3. Empathy as a Core Competency

The design industry will place even greater emphasis on empathy, with advanced simulation tools enabling designers to experience environments and challenges from the user’s perspective, fostering deeper understanding and connection.

Case Study 1: Airbnb’s Human-Centered Redesign

Airbnb exemplifies the transformative power of HCD. Facing challenges with inconsistent service quality and user experience, Airbnb employed a rigorous HCD methodology to reevaluate its platform.

Key Initiatives:

  • User Research: Conducted extensive ethnographic studies and user interviews to understand host and guest pain points.
  • Prototype Testing: Utilized VR to simulate the user journey, allowing designers to iterate quickly based on real-time feedback.
  • Inclusive Interface Design: Implemented design changes that made the platform more accessible, including screen reader compatibility and multilingual support.

Results:

  • Enhanced User Satisfaction: Significant improvements in ratings and user engagement.
  • Growth in Host Participation: Increased trust and clearer guidelines resulted in a sharp rise in host participation and lower attrition rates.

Case Study 2: Microsoft’s Inclusive Design Toolkit

Microsoft’s Inclusive Design Toolkit sets a benchmark in creating products that are not only usable by a diverse user base but can also inspire others to adopt similar practices.

Key Initiatives:

  • User Involvement: Collaborated with users with disabilities to co-create the toolkit, ensuring that the solutions were practical and impactful.
  • Empathy Building: Implemented empathy labs where engineers and designers could experience various disabilities to understand the challenges faced by these users.
  • Guidelines and Resources: Provided a comprehensive set of guidelines, templates, and tools to facilitate inclusive design thinking across projects.

Results:

  • Enhanced Product Accessibility: Significant improvements in accessibility across Microsoft products, from Office to Xbox.
  • Wider Industry Impact: Inspired other tech companies to adopt more inclusive design practices, broadening the impact beyond Microsoft’s own ecosystem.

Conclusion

The future of human-centered design is vibrant, promising deeper empathy, inclusivity, and technological integration to create transformative user experiences. By embracing these emerging trends and learning from pioneering case studies, designers can champion a more user-focused and innovative future. As we move forward, let us remember that the heart of design lies in understanding and valuing human experiences, ensuring that every solution serves a purpose and enriches lives.

Oh, what a future it is likely to be!

Bottom line: Futurology is not fortune telling. Futurists use a scientific approach to create their deliverables, but a methodology and tools like those in FutureHacking™ can empower anyone to engage in futurology themselves.

Image credit: Pixabay

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

Measuring the Impact of Innovation

Key Metrics and Best Practices

Measuring the Impact of Innovation

GUEST POST from Art Inteligencia

Innovation is the lifeblood of any forward-thinking organization. But how can we effectively measure its success? To transform innovation from a nebulous concept into a structured business function, it is crucial to establish key metrics and best practices. This article aims to provide a comprehensive guide to measuring the impact of innovation, enriched by concrete case studies for better understanding.

Key Metrics for Measuring Innovation

While financial performance is a significant indicator, a holistic approach to innovation measurement includes multiple dimensions. Below are essential metrics every organization should consider:

  • Number of New Products/Services Launched: This metric acts as a direct indicator of an organization’s innovation capability.
  • Revenue from New Products/Services: Revenue generated from recently launched products or services demonstrates the market acceptance and commercial success of the innovations.
  • Time to Market: This measures the efficiency of the innovation process, tracking the duration it takes for an idea to become a marketable product.
  • Customer Satisfaction: Customer feedback and Net Promoter Score (NPS) are invaluable in determining how innovations have affected customer experience.
  • Research and Development (R&D) Spending: This metric tracks the investment made in innovation activities, often correlated with future growth potential.

Best Practices for Measuring Innovation

The following best practices offer a strategic approach to measuring and comprehensively understanding the impact of your innovation efforts:

  • Align with Business Goals: Ensure that your innovation metrics are aligned with your organization’s broader strategic objectives.
  • Incorporate Stakeholder Feedback: Engage with stakeholders—including employees, customers, and partners—to get a 360-degree perspective on innovation effectiveness.
  • Use Balanced Scorecards: A balanced scorecard can help in evaluating innovation from multiple dimensions—financial, customer, internal processes, and learning and growth.
  • Continual Improvement: Regular reviews and updates of your metrics are crucial for keeping up with evolving organizational goals and market conditions.
  • Data-Driven Decisions: Leverage advanced analytics and data-driven insights to refine innovation strategies continually.

Case Study 1: Procter & Gamble

Scenario: In the early 2000s, Procter & Gamble (P&G) faced stagnating growth. To reignite commercial success, the company invested heavily in innovation.

Metrics and Measurement: P&G focused on the number and quality of new product launches, alongside revenue generated from these products. They also tracked time to market and customer satisfaction metrics.

Outcome: By aligning their metrics with overall business objectives and keeping a customer-centered focus, P&G achieved significant success. Their innovation pipeline led to the introduction of products like the Swiffer and Crest Whitestrips, which revitalized their market standing.

Case Study 2: 3M

Scenario: 3M has long been a pioneer of innovation, driven by a goal to derive at least 30% of its sales from products developed in the last four years.

Metrics and Measurement: The company measures the percentage of revenue from new products, R&D spending, and employee engagement in innovation initiatives.

Outcome: 3M’s innovation culture has led to the creation of iconic products like Post-it Notes and Scotch Tape. The company’s methodical measurement practices ensured they remained particularly agile and responsive to market needs.

Conclusion

Measuring the impact of innovation is essential for its sustainability and growth. By employing a mix of key metrics and best practices, organizations can not only quantify their innovation efforts but also continually improve them. The cases of Procter & Gamble and 3M illustrate that with the right framework, the transformative power of innovation can be methodically harnessed to drive significant business success.

In the fast-paced world of business, continuous innovation and its accurate measurement are not just beneficial—they are imperative. Embrace these strategies, and watch your organization not merely adapt to change, but lead it.

Bottom line: Futurology is not fortune telling. Futurists use a scientific approach to create their deliverables, but a methodology and tools like those in FutureHacking™ can empower anyone to engage in futurology themselves.

Image credit: Pexels

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

Experience Thinking – The Next Evolution for Design Thinking

Experience Thinking - The Next Evolution for Design Thinking

GUEST POST from Anthony Mills

Prologue

Design Thinking is an incredibly powerful way to approach the design of just about anything that involves an interaction with people (or other intelligent creatures). Its underlying philosophy of Human Centered Design requires that we develop a comprehensive empathic understanding of the customer and their situation in a particular context. This can only happen when we dissect the situation – using the many different Design Methods available to us – to understand the customer’s underlying values, beliefs, motivations, priorities, expectations, and preferences. From this we understand their real needs and desires. This is what we are doing when we work through the divergence of hypothesis formation, the convergence of hypothesis testing, the arrival at a compelling Point of View, and from that the definition of relevant Design Principles. And it is what empowers us to thereafter work through the divergence of solution ideation and the convergence of solution testing – all to arrive at the most optimal solution to the right problem, reframed at the right level. This results in new innovations that resonate with real market needs. Powerful indeed!

But, there are limitations.

The limitations lie not so much in Design Thinking itself, but rather in how Design Thinking is typically used.

The manner in which Design Thinking is typically used is what we refer to as a “static approach.” That is, it is generally used to understand how a customer interacts with a product or service at one particular moment in time – typically the most critical moment in time – or in one particular mode of usage – typically the most critical mode of usage – as though everything were about this one particular “freeze frame”. It may examine, for example, how they sit in a chair, how they use a toothbrush, how they read a user interface, or how they comprehend a set of service instructions. This can work okay for very simple products and services, but not so much for complex ones. Sometimes the lens of focus is zoomed out to examine more moments and more modes, but rarely does it venture so far out as to truly understand the entire product or service experience in its entirety, as well as the overriding brand experience it must convey. To do this, we need a different approach.

A Different Approach

Fortunately, we have a different approach. We call it “Experience Thinking”, or XT. One can think of XT as a more “dynamic” approach to Design Thinking, in that it seeks to examine the entire product / service / brand experience in its totality. By combining the tools of Design Thinking (the Design Methods) with the tools of Customer Experience Design and Customer Experience Management (CX Journey Maps, Stakeholder Analysis, NPS, etc.), it takes the practitioner through the Design Thinking journey for each and every touchpoint in the entire customer experience – or through whichever touchpoints are of interest. This ends up being far more powerful than the narrow-lens focus of static Design Thinking, albeit at the price of additional work.

Experience Thinking is, in fact, what has allowed companies like Apple, Uber, Mercedes, Tesla, Harley Davidson, Patagonia, and Amazon to all produce such highly differentiated offerings that each deliver a coherent and compelling brand experience. In most cases, this brand experience extends well beyond the product or service itself to encompass a far broader value proposition focused on lifestyle or workstyle enhancement. Experience Thinking understands this, and it understands that the emotional and social outcomes involved are just as important (and in some cases more important) than are the functional outcomes. And so offerings get designed that deliver compelling experiences that satisfy those emotional and social outcomes.

Understanding the essence of Experience Thinking then, the next logical question is always, “Okay… so how does one use Experience Thinking? How do they go about carrying it out?” That is a great question.

A Simple Four Step Approach to Using Experience Thinking

In our work with clients, we have a very specific and defined approach to how we do this. It involves four steps.

Step 1 — Foundation: The Brand Experience

We always begin with the brand:

  1. What is the brand persona or brand DNA that defines this brand?
  2. What is this brand’s relative positioning in the market (is it luxury, mid-tier, or value-line)?
  3. What brand promise is this brand making, and what expectations does this then create for its customers?
  4. What brand language (descriptive, visual, and experiential) is being used to convey this brand promise?

And finally, as a consequence of all of the above, what is the overall brand experience we are attempting to deliver, and what, therefore, is the brand experience lens through which we must design the associated product experience or service experience that is to follow-on from this?

These are all crucial questions. For existing brands, the answers are often already known, though they sometimes have to be polished and sharpened a bit. For new brands, we first must answer these questions before proceeding further. An important implication, however, is that this process does not depend on having an existing brand or even an existing product category; it can just as readily be applied to an entirely new brand and/or product category so long as we can define the above points that we intend to deliver for the brand.

Step 2 — Manifestation: The Customer Experience

Once we have defined all of the above, and thus our brand experience lens, we can then move on to the next step, which is to look at either the entire customer lifecycle (eight stages – four on the buy side and four on the own side), or some particular portion of the customer lifecycle that we are specifically interested in.

Using a relatively standard CX Journey Mapping process, we then design our intended customer experience, making sure that at each touchpoint we undertake careful Cognitive Task Analysis so that we fully understand the cognitive and emotional “dance” happening between our offering / brand / business and our customer, as well as capturing all of the on-stage and back-stage stakeholder actions required to stage this experience as designed (the latter can also be complemented with Swim Lane Analysis to help better visualize the timing of each action). Undertaking Cognitive Task Analysis requires a sound understanding of Experience Psychology. As an aid toward this, we recommend reading any of Don Norman’s books, but in particular The Design of Everyday Things.

Step 3 — Translation: The Product (Service) Experience

Next, having defined the intended customer experience, and in so doing understanding the intended attributes of each of its touchpoints (for example, are certain touchpoints to be fast or slow, simple or complex, what human factors or ergonomics concerns have to be considered, what emotional responses need to be evoked, and so on), we then use a tool that in our case we call the Product Experience Framework, or PX Framework (known generically as an alignment model) to map these experience attributes into corresponding product or service attributes. Such attributes might include, for example, size, weight, location, color, finish, actuation force, ease of interpretation, styling, craftsmanship, and so forth.

In using the PX Framework, we step through each and every “event” involved in using the product or receiving the service. Events represent the individual interactions the user has with the product or service, and as such any given touchpoint can include any number of different events. For each such event, we document all of the pertinent attribute details for the product or service. One can see the structure and content of the PX Framework at The Legacy Innovation Product Experience Framework.

Since highly complex products and services tend to involve lots of events (or potential events), this can end up being a very large document. In some cases, therefore, it is helpful to treat each major subsystem separately, with someone watching the overall product integration so as to ensure harmony between all of them.

Step 4 — Realization: The Design

Finally, having the PX Framework in hand, one is at last ready to sit down and actually design the product or service. They now have as an input to this design a clear prescription of what its attributes need to be in order that using the product, or receiving the service, will in fact result in the intended product or service experience, which will in turn convey the intended brand experience for the affected brand.

A New Design Philosophy — The “Designed Experience”

This approach – and Experience Thinking in general – is incredibly different from what so many designers and engineers are accustomed to doing, which is namely to just jump straight into designing a product or service without any idea whatsoever what its attributes need to be to deliver a particular experience. Indeed, they have not even attempted to define in the first place what its product or service experience needs to be, only that it needs to accomplish some outcome in the end; the assumption being that whatever happens along the way toward that outcome is not particularly important – usually an incredibly erroneous assumption!

We believe so strongly in this approach, in fact, that we have wrapped our entire design philosophy around it and have given that philosophy a name. We call it the Designed Experience Approach, and all of the information arising out of these four steps we refer to as the Designed Experience Model. A key tenet of this philosophy (and of Experience Thinking in general) is that the design of a product or service cannot be considered complete until we have first gone through this process of defining its intended product or service experience, together with its intended brand experience. This process must be done, and the resulting insights must be applied, so that we can design all of the product or service attributes accordingly, thus ensuring the final design is in fact capable of delivering its intended experience.

Recently we taught this design philosophy and its accompanying process to a major American automotive OEM in Detroit. The team we were working with there found this to be an incredibly eye-opening approach, because it finally allowed them to make the connection they were looking for between product attributes and the overall intended customer and brand experiences.

Why & Where?

The final two points that need to be made about Experience Thinking are why it is so important, and where it is most applicable. But these two points are best addressed in reverse order.

In terms of where Experience Thinking is most applicable therefore… it is most applicable anywhere we have a branded business and thus a branded line of offerings. Because they are branded, they have a specific brand promise that they must live up to, and ideally this is a brand promise that differentiates and distinguishes the brand from other brands. The need for differentiation is therefore incredibly strong. As a consequence, we must design the products and services associated with this brand in a highly intentional manner so that their attributes can in fact deliver on that brand promise and ensure the level of differentiation we are attempting to achieve. The contrast to this, of course, would be commodity products and services that are undifferentiated. Such products and services need only accomplish their intended outcomes; how they do so and what happens along the way is not overly critical in their case.

In terms of why Experience Thinking is so important then, it is precisely as described above. In those cases where we must espouse and then deliver on a specific brand promise – so that we can differentiate ourselves – our products and services no longer matter by themselves. What matters in these cases is the experience that those products and services are able to deliver. Thus how they go about achieving their intended outcomes, and everything that happens along the way, are all incredibly, incredibly important. They must be things that deliver on our brand promise and thereby reinforce our brand message, which in turn builds our brand value and allows us over time to capture increasing market shares.

The thing is, the vast majority of businesses and their offerings are – to one degree or another – branded. Those who are truly hungry for market leadership tend to be the ones who most readily recognize this and therefore put the most effort into building their brands. This in turn means they are the most eager to embrace Experience Thinking and to use this approach to design their products and services to deliver on their brand promises.

Reflection

The questions to ask yourself, therefore, are:

  1. “Is our brand as differentiated as it needs to be?”
  2. “Does it have a compelling brand promise that lets us define a unique brand experience?”
  3. “Have we defined specific product and service experiences that are aligned to that brand promise and brand experience?”
  4. “Are we designing our products and services to have the attributes they need to deliver on those experiences?”
  5. “Should we – like perhaps some of our competitors are doing – be using Experience Thinking to design our next offerings?”

If the answers to these questions are “no”, “no”, “no”, “no”, and “yes”, then it’s probably time to get serious about shaking up your design process – time to start applying Experience Thinking. Though it does take more time and effort to do, it tends to pay back greatly in terms of commercial success and ongoing brand building.

Image credit: Pixabay

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