A Trigger Strategy for Driving Radical, Transformational Change

A Trigger Strategy for Driving Radical, Transformational Change

GUEST POST from Greg Satell

There’s an old adage that says we should never let a crisis go to waste. The point is that during a crisis there is a visceral sense of urgency and resistance often falls by the wayside. We’ve certainly seen that during the Covid pandemic. Digital technologies such as video conferencing, online grocery and telehealth have gone from fringe to mainstream in record time.

Seasoned leaders learn how to make good use of a crisis. Consider Bill Gates and his Internet Tidal Wave memo, which leveraged what could have been a mortal threat to Microsoft into a springboard to even greater dominance. Or how Steve Jobs used Apple’s near-death experience to reshape the ailing company into a powerhouse.

But what if we could prepare for a trigger before it happens? The truth is that indications of trouble are often clear long before the crisis arrives. Clearly, there were a number of warning signs that a pandemic was possible, if not likely. As every good leader knows, there’s never a shortage of looming threats. If we learn to plan ahead, we can make a crisis work for us.

The Plan Hatched In A Belgrade Cafe

In the fall of 1998, five young activists met in a coffee shop in Belgrade, Serbia. Although still in their twenties, they were already grizzled veterans. In 1992, they took part in student protests against the war in Bosnia. In 1996, they helped organize a series of rallies in response to Slobodan Milošević’s attempt to steal local elections.

To date, their results were decidedly mixed. The student protests were fun, but when the semester ended, everyone went home for the summer and that was the end of that. The 1996 protests were more successful, overturning the fraudulent results, but the opposition coalition, called “Zajedno,” soon devolved into infighting.

So they met in the coffee shop to discuss their options for the upcoming presidential election to be held in 2000. They knew from experience that they could organize rallies effectively and get people to the polls. They also knew that when they got people to the polls and won, Milošević would use his power and position to steal the election.

That would be their trigger.

The next day, six friends joined them and they called their new organization Otpor. Things began slowly, with mostly street theatre and pranks, but within 2 years their ranks had swelled to more than 70,000. When Milošević tried to steal the election they were ready and what is now known as the Bulldozer Revolution erupted.

The Serbian strongman was forced to concede. The next year, Milošević would be arrested and sent to The Hague for his crimes against humanity. He would die in his prison cell in 1996, awaiting trial.

Opportunity From The Ashes

In 2014, in the wake of the Euromaidan protests that swept the thoroughly corrupt autocrat Viktor Yanukovych from power, Ukraine was in shambles. Having been looted of roughly $100 billion (roughly the amount of the country’s entire GDP) and invaded by Russia, things looked bleak. Without western aid, the proud nation’s very survival was in doubt.

Yet for Vitaliy Shabunin and the Anti-Corruption Action Center, it was a moment he had been waiting for. He established the organization with his friend Dasha Kaleniuk a few years earlier. Since then they, along with a small staff, had been working with international NGOs to document corruption and develop effective legislation to fight it.

With Ukraine’s history of endemic graft, which had greatly worsened under Yanukovych, progress had been negligible. Yet now, with the IMF and other international institutions demanding reform, Shabunin and Kaleniuk were instantly in demand to advise the government on instituting a comprehensive anti-corruption program, which passed in record time.

Yet they didn’t stop there either. “Our long-term strategy is to create a situation in which it will be impossible not to do anti-corruption reforms,” Shabunin would later tell me. “We are working to ensure that these reforms will be done, either by these politicians or by another, because they will lose their office if they don’t do these reforms.”

Vitaliy, Dasha and the Anti-Corruption Action Center continue to prepare for future triggers.

The Genius Of Xerox PARC

One story that Silicon Valley folks love to tell involves Steve Jobs and Xerox. After the copier giant made an investment in Apple, which was then a fledgling company, it gave Jobs access to its Palo Alto Research Center (PARC). He then used the technology he saw there to create the Macintosh. Jobs built an empire based on Xerox’s oversight.

Yet the story misses the point. By the late 60s, its Xerox CEO Peter McColough knew that the copier business, while still incredibly profitable, was bound to be disrupted eventually. At the same time it was becoming clear that computer technology was advancing quickly and, someday, would revolutionize how we worked. PARC was created to prepare for that trigger.

The number of groundbreaking technologies created at PARC is astounding. The graphical user interface, networked computing, object oriented programing, the list goes on. Virtually everything that we came to know as “personal computing” had its roots in the work done at PARC in the 1970s.

Most of all, PARC saved Xerox. The laser printer invented there would bring in billions and, eventually, largely replace the copier business. Some technologies were spun off into new companies, such as Adobe and 3Com, with an equity stake going to Xerox. And, of course, the company even made a tidy profit off the Macintosh, because of the equity stake that gave Jobs access to the technology in the first place.

Transforming An Obstacle Into A Design Constraint

The hardest thing about change is that, typically, most people don’t want it. If they did, it have already been accepted as the normal state of affairs. That can make transformation a lonely business. The status quo has inertia on its side and never yields its power gracefully. The path for an aspiring changemaker can be heartbreaking and soul crushing.

Many would see the near-certainty that Milosevic would try to steal the election as an excuse to do nothing. Most people would look at the almost impossibly corrupt Yanukovych regime and see the idea of devoting your life to anti-corruption reforms as quixotic folly. It is extremely rare for a CEO whose firm dominates an industry to ask, “What comes after?”

Yet anything can happen and often does. Circumstances conspire. Events converge. Round-hole businesses meet their square-peg world. We can’t predict exactly when or where or how or what will happen, but we know that everybody and everything gets disrupted eventually. It’s all just a matter of time.

When that happens resistance to change temporarily abates. So there’s lots to do and no time to wait. We need to empower our allies, as well as listen to our adversaries. We need to build out a network to connect to others who are sympathetic to our cause. Transformational change is always driven by small groups, loosely connected, but united by a common purpose.

Most of all, we need to prepare. A trigger always comes and, when it does, it brings great opportunity with it.

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

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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

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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.

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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

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The Future of Education

Personalized Learning and EdTech Innovations

The Future of Education

GUEST POST from Chateau G Pato

In an era marked by rapid technological advancements, the educational landscape is undergoing a significant transformation. The traditional one-size-fits-all approach is being supplanted by personalized learning models bolstered by cutting-edge Education Technology (EdTech) innovations. This article explores these trends, shedding light on the future of education through two compelling case studies.

What is Personalized Learning?

Personalized learning tailors education to meet the unique needs, skills, and interests of each individual student. Unlike conventional methods, this approach leverages technology to adapt the educational experience dynamically.

  • Adaptive Learning Software: Programs that adjust to the learner’s pace and learning style.
  • Data Analytics: Tools that track progress and provide feedback to both students and teachers.
  • Customizable Content: Material that can be altered to meet the specific needs of each learner.

EdTech Innovations Driving Personalized Learning

Several key innovations in the EdTech space are paving the way for personalized learning:

  • Artificial Intelligence (AI): Facilitates adaptive learning environments by continually analyzing student performance.
  • Virtual and Augmented Reality (VR/AR): Provides immersive experiences that can enhance understanding and retention.
  • Blockchain: Ensures secure and transparent record-keeping for credentials and educational achievements.
  • Gamification: Incorporates game mechanics to make learning more engaging and enjoyable.

Case Study: Khan Academy

Khan Academy exemplifies the successful integration of personalized learning and EdTech innovation. Founded in 2008, the platform offers free, world-class education through a model that adapts to the learning pace of each student.

Key Features:

  • Personalized Dashboards: Allow learners to track their own progress and identify areas for improvement.
  • Mastery Learning: Emphasizes mastering a topic before moving on, ensuring comprehensive understanding.
  • Interactive Exercises: Provide instant feedback to help learners correct mistakes and reinforce concepts.

The impact of Khan Academy is evident in its widespread adoption and the improvement of student performance in various subjects, particularly in underserved regions.

Case Study: Coursera & AI-driven Learning

Another noteworthy example of personalized learning is Coursera, which utilizes AI to offer courses tailored to the needs and skills of its users. Launched in 2012, Coursera has become a global leader in online learning.

Key Features:

  • AI-Powered Recommendations: Suggest courses based on learner behavior and preferences.
  • Peer Reviews and Forums: Facilitate community-based learning and enhance understanding through discussion.
  • Flexible Learning Paths: Allow learners to customize their educational journey according to their needs.

Coursera’s AI-driven approach not only personalizes the learning experience but also democratizes access to high-quality education irrespective of geographical constraints.

Challenges and Considerations

While the future of personalized learning and EdTech is promising, several challenges must be addressed:

  • Digital Divide: Ensuring equitable access to technology for all students.
  • Data Privacy: Safeguarding sensitive learner information.
  • Teacher Training: Equipping educators with the skills necessary to effectively integrate technology in their teaching practices.

Conclusion

The future of education is undoubtedly bright, driven by personalized learning models and innovative EdTech solutions. As evidenced by platforms like Khan Academy and Coursera, these advancements have the potential to revolutionize the way we learn, making education more accessible, customizable, and effective. However, realizing this vision will require concerted efforts to overcome existing challenges and ensure that these technologies benefit all learners globally.

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

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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

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Building Trust with Customers Through Transparency and Authenticity

Building Trust with Customers Through Transparency and Authenticity

GUEST POST from Chateau G Pato

Trust is the cornerstone of any successful business relationship. In today’s digital age, customers are more informed and skeptical than ever. They seek brands that not only promise quality but also practice transparency and authenticity. This article explores how companies can build trust with their customers through honest communication and genuine actions.

The Importance of Transparency

Customers today demand transparency from the brands they engage with. Transparency involves openly sharing information that is usually kept behind the curtains – whether it is about business practices, sourcing, pricing, or internal challenges.

Benefits of Transparency

  • Builds credibility
  • Enhances customer loyalty
  • Mitigates risks during crises
  • Fosters a culture of accountability

Case Study 1: Patagonia’s Commitment to Environmental Transparency

Patagonia, the outdoor clothing brand, has long been celebrated for its commitment to environmental sustainability. Their transparency about the supply chain and environmental impact has garnered significant trust from their customers.

Key Transparency Efforts

  • Detailed Footprint Chronicles: They provide detailed reports on the environmental and social impact of each product.
  • Worn Wear Program: Encourages customers to recycle garments by offering discounts on future purchases.
  • Open-Source Supply Chain: They allow customers to trace the origins of their products and verify ethical practices.

By making their processes visible and accountable, Patagonia reinforces their commitment to environmental stewardship and gains customer’s respect and trust.

The Power of Authenticity

Being authentic means staying true to one’s values and promises, even when it is challenging. Authenticity in business creates a genuine connection with customers that goes beyond transactions.

How to Demonstrate Authenticity

  • Stick to your brand values and mission
  • Engage in real conversations with your customers
  • Admit to mistakes and take accountability
  • Showcase real stories and user-generated content

Case Study 2: Ben & Jerry’s Advocacy for Social Issues

Ben & Jerry’s, the beloved ice cream brand, is not just known for its delicious flavors but also for its upfront stance on social and environmental issues. Their authenticity in standing up for these causes has built a loyal customer base that resonates with their values.

Notable Authenticity Efforts

  • Active Campaigning: They consistently involve themselves in contemporary issues like climate change, racial justice, and LGBT equality.
  • Transparency in Ingredients: They advocate for GMO labeling and provide accessible information about their products’ ingredients.
  • Honest Communication: They openly communicate their beliefs and the steps they are taking to make a difference.

Their unapologetic, honest approach to activism mirrors their brand values and helps them connect with customers who share similar views.

Conclusion

Transparency and authenticity are not just buzzwords; they are vital strategies that can significantly enhance customer trust. By being open, honest, and true to their values, companies can foster lasting relationships with their customers. The cases of Patagonia and Ben & Jerry’s illustrate how embracing transparency and authenticity can not only build trust but also distinguish a brand in an increasingly competitive marketplace.

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

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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

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Balancing Data-Driven Decision Making with Intuition in Innovation

Balancing Data-Driven Decision Making with Intuition in Innovation

GUEST POST from Art Inteligencia

In the fast-paced world of innovation, leaders are often faced with the challenge of making critical decisions that can determine the success or failure of their initiatives. The rise of big data and advanced analytics has given organizations the tools to drive decisions based on empirical evidence. However, the role of intuition—those gut feelings honed by experience and tacit knowledge—remains irreplaceable. In this article, we will explore how to balance data-driven decision making with intuition, providing insights through two revealing case studies.

Case Study 1: Apple and the iPhone

When Steve Jobs introduced the iPhone in 2007, it revolutionized mobile technology. But this groundbreaking innovation wasn’t solely the product of data-driven decision making.

Data-Driven Insights

  • Apple analyzed the shortcomings of existing mobile phones in terms of user experience and functionality.
  • Market data indicated a growing interest in smartphones with internet capabilities, touchscreens, and multimedia features.
  • Advanced analytics helped Apple understand usage patterns, which influenced design elements like the touchscreen interface.

Intuitive Leadership

  • Steve Jobs’ intuition played a critical role in deciding to pursue the development of the iPhone despite potential risks.
  • He envisioned a device that combined a phone, an iPod, and an internet communicator, a concept unheard of at the time.
  • Jobs made bold decisions on user experience features based on his instinctual understanding of what users would love, rather than what traditional market research might suggest.

The iPhone’s success illustrates how data-driven insights and intuitive leadership can complement each other to bring about transformative innovation.

Case Study 2: Netflix’s Transition to Streaming

Netflix has become synonymous with streaming entertainment, but the company’s journey from DVD rental service to streaming giant was not an obvious path.

Data-Driven Insights

  • Netflix leveraged data from its DVD rental service to understand customer preferences and viewing habits.
  • Subscriber data indicated a shift in consumer demand towards digital content delivery, driven by increasing internet speeds and access to devices.
  • Advanced algorithms and predictive analytics were used to recommend content, enhancing user engagement and satisfaction.

Intuitive Leadership

  • Reed Hastings, co-founder, and CEO of Netflix relied on his intuition when deciding to invest heavily in streaming technology, a risky move at that time.
  • Hastings intuitively understood that consumer behavior was shifting towards a preference for on-demand content, even when the data was still emerging.
  • His vision for the future of entertainment included producing original content, an idea driven in equal parts by intuition and data analytics of viewing trends.

By balancing data insights with intuitive foresight, Netflix was able to successfully pivot its business model, fundamentally changing the entertainment landscape.

Strategies for Balancing Data and Intuition

  • Embrace Collaborative Decision-Making: Encourage teams to integrate both data and intuition when making decisions. Promote discussions that leverage diverse perspectives and experiences.
  • Cultivate a Test-and-Learn Culture: Implement policies that allow for experimentation based on intuition while using data to validate or refine these ideas.
  • Leverage Technology Wisely: Use advanced analytics tools to gather actionable insights, but don’t let them overshadow the value of human intuition and creativity.
  • Continuous Learning and Adaptation: Encourage ongoing learning for leaders and teams to enhance their intuitive abilities and stay updated with data analytics advancements.

Conclusion

In the quest for innovation, it is not a question of choosing between data-driven decision making and intuition. Rather, the key lies in finding the right balance, where data provides a solid foundation for insights and intuition injects creativity and foresight into the decision-making process. The cases of Apple and Netflix illustrate how the fusion of data and intuition can lead to groundbreaking innovations that redefine markets and industries. By adopting strategies that honor both elements, organizations can navigate uncertainty and foster a culture of sustained innovation.

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

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Don’t Forget to Innovate the Customer Experience

Don't Forget to Innovate the Customer Experience

Too often we speak about Innovation, Customer Experience, Digital Transformation, Employee Experience and Organizational Change as very distinct and separate things.

But is this the right approach?

Those of you who have read both my first book Stoking Your Innovation Bonfire and my second book Charting Change know that the main reason that the second book even exists is because innovation is all about change.

Apple couldn’t bring the iPod, iTunes and the iTunes store to market without inflicting incredible amounts of change upon the organization and building many different new organizational capabilities and hiring many new types of people with many types of expertise new to the organization.

I’ve also written about BIG C and little c change, with BIG C change including transformations of many types (including digital) and little C change including projects and other small initiatives. And yes, every project changes something, so every project is a change initiative. And so yes, project management is in fact a subset of change management, not the typical wrong way ’round that change management is usually made subservient to project management.

Stop it!

Architecting the Organization for Change

For an invention to have any chance of becoming an innovation, the organization must transform, and to do this well we must design corresponding changes in both employee experience and customer experience to accelerate and integrate:

  1. Value Creation
  2. Value Access
  3. Value Translation

See my important article Innovation is All About Value for more background on these three phrases.

Because of the interconnectedness between innovation, change, transformation, customer experience and employee experience we must look at these different specialties holistically and in a coordinated way if we are to maximize our chances of successfully completing the journey from invention to innovation.

Service Design and Journey Mapping have a role to play, as does Human-Centered Design because people are at the heart of innovation and transformation. These tools can help uncover the customer needs and help visualize what the NEW experiences must look like for both employees and customers to maximize the holistic value created and the ability of customers to access that value as effortlessly as possible.

As we work to design the potential innovation as a product or a service or a combination of the two, we must also consciously design the customer experience and employee experience to enhance to possibilities of this invention becoming an innovation. This includes potentially designing OUT touchpoints in current journeys that people may taken as a given, but maybe no longer need to exist if we are truly keeping the customer and their wants/needs at the center of our focus.

As part of your innovation activities, consider creating customer and employee journey maps, printing them poster size and placing them front and center on your innovation wonder wall so that you can ask your innovation team the following questions:

  1. What is different about this customer or employee touchpoint when considering our potential innovation?
  2. How could we design out the need for this customer or employee touchpoint?
  3. With our potential innovation, what customer or employee touchpoints may no longer be necessary?
  4. With our potential innovation, what new customer or employee touchpoints may we need to create?
  5. What organizational and employee knowledge and capabilities are we missing, that we must have, to deliver the necessary and expected customer and employee experiences?

As we explore these questions, they allow us to look beyond the product or service that forms the basis of the potential innovation that we are creating and create more value around it, to make our customers’ and employees’ experiences of our potential innovation better, and to increase our chances of more successfully translating the holistic value for its potential customers.

Customer and employee experiences are not detached and separate from the new products and services forming the basis of your innovation activities.

The change and transformation that accompany innovation are not separate either.

We must look at all of these specialties together and not see them as isolated things, otherwise we will fail.

So keep innovating, but be sure and consider the change and transformation necessary to help you be successful and how you are going to innovate your customer and employee experiences at the same time!

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