Monthly Archives: September 2022

What Change Agility Really Means for Your Team

Beyond the Buzzwords

What Change Agility Really Means for Your Team

GUEST POST from Chateau G Pato

In the relentless current of today’s business world, we often find ourselves adrift in a sea of corporate jargon. Amongst the swirling tides of “synergy” and “disruption,” one term stands out, vital yet frequently misunderstood: **”change agility.”** It’s more than a trendy phrase; it’s the fundamental heartbeat of thriving organizations and individuals in an era of perpetual transformation. As a human-centered change and innovation thought leader, I can tell you that genuine change agility isn’t just about surviving; it’s about elegantly dancing with uncertainty, leveraging every twist and turn as an opportunity for growth. It’s no longer a strategic option; it’s a core competency.

So, let’s cut through the noise. What does it truly mean to cultivate this essential capacity within your team, in a way that genuinely empowers your people?

The Three Pillars: Sensing, Adapting, Thriving

Many mistakenly equate change agility with mere speed—reacting quickly. While responsiveness is a component, true agility is a much richer, more deliberate capability. Think of it as an organization’s biological immune system: constantly vigilant, rapidly adjusting, and ultimately strengthening itself through every challenge. This system operates on three interconnected human-centered pillars:

Sensing (The Early Warning System): This is your team’s collective ability to proactively detect even the faintest signals of shifts—whether they’re subtle changes in customer behavior, disruptive technologies on the horizon, competitive moves, or internal team dynamics. It requires active listening, peripheral vision, and a culture that encourages curiosity and questioning. It’s about empowering every team member to be an environmental sensor.
Adapting (The Flexible Response): Once a signal is sensed, this is the capacity to adjust strategies, processes, and most importantly, **mindsets** rapidly and effectively. It’s about being flexible, embracing experimentation, and having the courage to pivot when necessary. It’s about designing systems and empowering people to make informed decisions quickly, without bureaucratic friction.
Thriving (Growth from Change): This is where true agility shines. Beyond merely surviving a change, agile teams leverage it as a spring board for innovation, new opportunities, and competitive advantage. They don’t just react; they proactively seek to reshape the landscape. They view challenges not as obstacles, but as catalysts for designing better solutions and building stronger capabilities.

At its core, **change agility is profoundly human-centered**. It recognizes that people aren’t passive recipients of change; they are its essential architects. It’s about building a culture where individuals feel safe, empowered, and intrinsically motivated to navigate uncertainty and contribute meaningfully to evolving goals.

Case Study 1: The Retail Giant’s Human-Driven Digital Pivot

Phoenix Retail Group: From Legacy to Leader

Phoenix Retail Group, a once-dominant brick-and-mortar clothing retailer, faced an existential crisis as online shopping exploded. Their initial fragmented response—a small, siloed e-commerce division—was failing. Sales were plummeting, and internal friction was high.

The CEO, realizing a mere technology upgrade wouldn’t suffice, initiated a **deep cultural transformation centered on human agility.** Instead of a top-down mandate, they focused on empowering their people:

Sensing: They dissolved traditional departments, forming cross-functional “customer insight squads” dedicated to understanding online shopper behavior through empathy interviews, shadowing, and real-time data analysis. Every employee, from store associate to merchandiser, was trained to become a customer advocate and a market observer.
Adapting: They empowered small, autonomous “agile pods” focused on specific customer segments (e.g., “Sustainable Fashion,” “Home Comforts”). These pods had the authority to rapidly experiment with new digital campaigns, product lines, and even logistics solutions. Critically, failures were celebrated as valuable learning opportunities, fostering a safe environment for rapid iteration.
Thriving: Within two years, Phoenix Retail Group not only halted its decline but emerged as a significant online fashion player. Their physical stores transformed into dynamic experience hubs, complementing their thriving e-commerce. The workforce, once resistant, became enthusiastic innovators, co-creating solutions. Their success stemmed from giving their people the tools, safety, and autonomy to adapt.

**The Lesson:** True digital transformation isn’t just about technology; it’s about transforming your people’s capacity to sense and adapt.

Practical Steps to Ignite Change Agility in Your Team

Simply wishing for an “agile” team isn’t enough. It requires deliberate, ongoing effort and a commitment to human-centered leadership:

Cultivate Psychological Safety (The Foundation): Create an environment where team members feel safe to voice audacious ideas, admit mistakes, ask “stupid” questions, and experiment without fear of judgment or retribution. This is the bedrock upon which all risk-taking and learning are built.
Decentralize Decision-Making (Empowerment): Push decision-making authority down to the operational edges of your organization, closer to the problems and opportunities. Trust your teams to leverage their insights and respond swiftly. This also builds ownership and accountability.
Champion a Growth Mindset & Continuous Learning: Encourage a relentless pursuit of knowledge. Provide resources, dedicated time, and collaborative platforms for skill development and knowledge sharing. Celebrate every learning, whether from success or “failed” experiments. Debrief frequently: “What did we learn? How can we apply it?”
Break Down Silos (Cross-Pollination): Actively dismantle departmental walls. Encourage diverse perspectives and skills to collaborate on complex challenges. Cross-functional teams enhance sensing capabilities and foster more creative, robust adaptive strategies.
Embrace “Test and Learn” (Experimentation): Shift from large, risky launches to a continuous cycle of small, rapid experiments. Encourage prototyping, minimum viable products (MVPs), and iterative development. Failure is data; learning is the outcome.
Practice Radical Transparency (Shared Context): Communicate the “why” behind changes, the market realities, and the strategic direction with honesty and clarity. When teams understand the bigger picture and the stakes, they are more likely to buy in, self-organize, and adapt effectively.
Lead by Example (Be the Change): As a leader, your behavior is your strongest message. Demonstrate your own adaptability, comfort with ambiguity, willingness to learn, and humility. Show, don’t just tell.

Case Study 2: InnovateNow’s Agile Product Pivot

InnovateNow: A Startup’s Survival Through Listening

InnovateNow, a promising tech startup, launched with an all-encompassing B2B project management software suite. While early adoption was promising, deep market feedback quickly revealed that users were primarily engaged with—and only willing to pay for—a very specific feature, not the entire suite. The leadership faced a make-or-break decision: persist with their grand vision or make a radical pivot.

Their agility was their lifeline:

Sensing: The product development team had ingrained a rigorous, direct feedback loop with beta users, going beyond surveys to conduct weekly live interviews and observed usability sessions. This enabled them to “sense” the nuanced, unarticulated user needs and identify the single feature that truly resonated, directly contradicting their initial assumptions.
Adapting: Instead of clinging to their extensive original roadmap, they initiated an intensive “pivot sprint.” This involved their entire core team—engineering, sales, marketing, and customer success—in a rapid ideation, prototyping, and validation process. They swiftly stripped away non-essential features, channeling all resources into refining and perfecting the one highly-valued function.
Thriving: Within a mere three months, InnovateNow relaunched a streamlined, hyper-focused product. This agile pivot wasn’t just a survival strategy; it allowed them to capture a dominant share in a high-value niche market. Their ability to quickly discard deeply held assumptions and adapt based on real-time, human-centered feedback was their defining strength.

**The Lesson:** Listening deeply to your customers, even when the feedback is uncomfortable, is the ultimate driver of agile adaptation.

The Human Imperative: Embracing the Dance

Ultimately, “change agility” isn’t about implementing a new framework or adopting the latest tech tool. It’s about cultivating the very essence of human resilience and creativity within your organization. It’s about building an unwavering foundation of **trust**, igniting pervasive **curiosity**, nurturing collective **courage**, and embedding a profound sense of shared **purpose** that transcends any single change initiative. When your team feels valued, empowered, and safe to navigate the unknown, they don’t just endure change—they eagerly join its dance, becoming its architects and beneficiaries.

“The only way to make sense out of change is to plunge into it, move with it, and join the dance.”
– Alan Watts

Extra Extra: Because innovation is all about change, Braden Kelley’s human-centered change methodology and tools are the best way to plan and execute the changes necessary to support your innovation and transformation efforts — all while literally getting everyone all on the same page for change. Find out more about the methodology and tools, including the book Charting Change by following the link. Be sure and download the TEN FREE TOOLS while you’re here.

Image credit: Pixabay

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People Drive the World-Technology as a Co-Pilot via Center of Human Compassion

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People Drive the World-Technology as a Co-Pilot via Center of Human Compassion

GUEST POST from Teresa Spangler

People at the Center – Technology as a Co-Pilot

Are people at the center of your innovation and new product plans? Have we made people the center of all things digital? Are human’s and our environment the center of the new world entering the 4th Industrial Revolution? When innovation is during groundbreaking disruptive inventions or whether innovation is iterating into new products… what is placed at the center of your strategies? What are the reasons for these new inventions?

So much is at stake, as the world turns to being driven by AI, humanoids, rockets’ red glare searching for new lands to inhabit, games and more games feeding our brains with virtual excitement and stimulation, devices galore on our bodies, in our hands, in our homes helping us navigate our every move and in many ways directing us on how to think. The acceleration of digital permeating our lives is mind boggling. The news we are fed, seemingly unbiased, the product advertisements that sneak into our feeds, the connections via too many social and work-related networks that appear all too promising and friendly too is overwhelming. Technology is encompassing our lives!

The Power of Technology

Don’t get me wrong, I love technology for all the positive it contributes to the world. Technology is allowing individuals to create! To create and earn! To take control of their lives and build meaningful endeavors. The creation of TIME and SPACE to live how we to live has been a major outcome of

1. technology but also 2. the pandemic.

Let’s explore the creator economy which has experienced an explosion of late. As referenced in the Forbes article, The Biggest Trends For 2022 In Creator Economy And Web3, by Maren Thomas Bannon, Today, the total size of the creator economy is estimated to be over $100 billion and 50 million people worldwide consider themselves creators. Creators will continue to bulge out of the global fabric as individuals seek to augment their incomes or escape the confines or rigged corporate cultures. Technology is enabling creators no doubt!

Technology is also allowing forward acting organizations to scale growth at unprecedented speeds. Let’s look at a recent survey conducted by Accenture

Curious about the effects of the pandemic, we completed a second round of research in early 2021 and discovered the following:

Technology Leaders have moved even further ahead of the pack and have been growing at 5x the rate of Laggards on average in the past three years.
Among the “Others” there is a group of organizations—18% of the entire sample—that has been able to break previous performance barriers—the Leapfroggers.

Let’s look at a recent survey conducted by Accenture

Curious about the effects of the pandemic, we completed a second round of research in early 2021 and discovered the following:

Technology Leaders have moved even further ahead of the pack and have been growing at 5x the rate of Laggards on average in the past three years.
Among the “Others” there is a group of organizations—18% of the entire sample—that has been able to break previous performance barriers—the Leapfroggers.

Of course, so much technology is doing good things for the world. 3-D printing is emerging at the center of homelessness. As reported in the #NYTIMES, this tiny village in Mexico is housing homeless people. The homes were built using an oversized 3-D printer.

Another example positive outcomes of technology is the emergence of over-the-counter hearing devices. Fortune Business Insights estimates the global hearing aids market is projected to grow from $6.67 billion in 2021 to $11.02 billion by 2028 at a CAGR of 7.4% in forecast period, 2021-2028.

These devices, until this year, were regulated to being sold by medical professionals at, for the majority of population in need, very high prices $2000 to $5000+ per hearing aid. Yes typically you need two. But recent innovations in ear buds and bluetooth are allowing other technology companies into the game! Take Bose for example, the FDA recently approved Bose SoundControl Hearing Aids to be purchased on their website for $895/pair. No need for a hearing professional. This significantly changes the playing field and opens the doors for so many that have put off purchases (of these not covered by insurance by the way) devices.

Entertainment & leisure travel is going to a whole new level with the help of technology. It’s wonderful that anyone with connectivity and travel the world and explore via Virtual Reality. Here are 52 places you can explore in the comfort of your home shared by NY Times. Many of us attended conferences and events over the past two years virtually. We’ll see an exponential growth in virtual reality experiences in the coming year.

So why am I talking about creating a Center for Human Compassion if so much good is really coming out of technology? Because many of the outcomes are also unrealized and not anticipated or at least publicized to prepare people. It is essential for companies, technologists, and product teams to consider the consequences of new technologies. Not as an afterthought but at the forethought, from inception of ideas we must ask what are the downsides? How will people be affected? What could happen?

The quote below is taken from the World Economic Forum report, Positive AI Economic Futures

machines will be able to do most tasks better than humans. Given these sorts of predictions, it is important to think about the possible consequences of AI for the future of work and to prepare for different scenarios. Continued progress in these technologies could have disruptive effects: from further exacerbating recent trends in inequality to denying more and more people their sense of purpose and fulfillment in life, given that work is much more than just a source of income.

WeForum brings 150 thought leaders together to share thoughts on how we create an AI world we want. For all of AI’s good, there are potentials for negative outcomes.

Let’s take the military’s fight again hobbyists and drones. In the recent article from WSJ, The Military’s New Challenge: Defeating Cheap Hobbyist Drones, how much energy was placed on Human Compassion if drone technologies, IoT and AI got in the wrong hands?

The U.S. is racing to combat an ostensibly modest foe: hobbyist drones that cost a few hundred dollars and can be rigged with explosives. @WSJ

I feel certain there was some consideration but not enough to draw out possible negative impacts and how to mitigate them before they could even start. Did we really put people at the center of what is possible with drone technologies? What do you think?

This is no easy task. We know what is good for us can turn to bad for us when in the wrong hands, or if it’s not moderated to healthy limits. How do we help facilitate a more compassionate relationship with technology and put people at the center?

Here are four strategies to ensure you are keeping people at the center of your innovation, new products and technology development efforts.

Create a Center of Human Compassion, or People Centered Technology Consortium, or what ever you wish to brand your initiative. Select trusted advisors from external (customers, partners…) and a select group of internal stake holders to join your collaborative to gather input, feedback and push back!
Discuss with your trusted group very early on. Gamify initiatives around gathering what ifs! Anticipating the worst you will plan better for the best! (leaving the hope out)
Build a continuous feedback loop. It is important that insights and scenarios are revisited and rehashed over and over again.
Join other consortiums and get involved with AI and tech for good initiatives. If you can’t find ones you feel are of value to you and your company, start one!

Mantra for the year: #lucky2022 but not without work and placing people front and center of plans will good fortune and luck come for the masses.

As always, reach out if you have ideas you’d like to share or questions you’d like to discuss!

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Beyond Automation: How AI Elevates Human Creativity in Innovation

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Beyond Automation: How AI Elevates Human Creativity in Innovation

GUEST POST from Art Inteligencia

The chatter surrounding Artificial Intelligence often paints a picture of stark dichotomy: either AI as a tireless automaton, displacing human roles, or as an ominous, sentient entity. As a human-centered change and innovation thought leader, I find both narratives profoundly miss the point. The true revolution of AI isn’t in what it *replaces*, but in what it **amplifies**. Its greatest promise lies not in automation, but in its unparalleled ability to act as a powerful co-pilot, fundamentally elevating human creativity in the complex dance of innovation.

For centuries, the spark of innovation was viewed as a mystical, solitary human endeavor. Yet, in our hyper-connected, data-saturated world, the lone genius model is becoming obsolete. AI steps into this void not as a rival, but as an indispensable cognitive partner, liberating our minds from the tedious and augmenting our uniquely human capacity for empathy, intuition, and truly groundbreaking thought. This isn’t about AI *doing* innovation; it’s about AI empowering humans to innovate with unprecedented depth, speed, and impact.

The Cognitive Co-Pilot: AI as a Creativity Catalyst

To grasp how AI truly elevates human creativity, we must reframe our perspective. Imagine AI not as a separate entity, but as an extension of our own cognitive capabilities, allowing us to think bigger and explore further. AI excels at tasks that often bog down the initial, expansive phases of innovation:

Supercharged Sensing & Synthesis: AI can rapidly sift through petabytes of data—from global market trends and nuanced customer feedback to scientific breakthroughs and competitor strategies. It identifies obscure patterns, correlations, and anomalies that would take human teams decades to uncover, providing a rich, informed foundation for novel ideas.
Expansive Idea Generation: While AI doesn’t possess human “creativity” in the emotional sense, it can generate an astonishing volume of permutations for concepts, designs, or solutions based on defined parameters. This provides innovators with an infinitely diverse raw material, akin to a boundless brainstorming partner, for human refinement and selection.
Rapid Simulation & Prototyping: AI can simulate complex scenarios or render virtual prototypes with incredible speed and accuracy. This accelerates the “test and learn” cycle, allowing innovators to validate assumptions, identify flaws, and iterate ideas at a fraction of the time and cost, minimizing risk before significant investment.
Liberating Drudgery: By automating repetitive, analytical, or research-intensive tasks (e.g., literature reviews, coding boilerplate, data cleaning), AI frees human innovators to dedicate their invaluable time and cognitive energy to higher-order creative thinking, empathic problem framing, and the strategic foresight that only humans can provide.

Meanwhile, the irreplaceable human element brings the very essence of innovation:

Empathy and Nuance: AI can process sentiment, but it cannot truly *feel* or understand the unspoken needs, cultural context, and emotional drivers of human beings. This deep empathy is paramount for defining meaningful problems and designing solutions that truly resonate.
Intuition & Lateral Thinking: The spontaneous “aha!” moments, the ability to connect seemingly disparate concepts in genuinely novel ways, the audacious leap of faith based on gut feeling honed by experience—these remain uniquely human domains.
Ethical Judgment & Purpose: Determining the “why” behind an innovation, its intended impact, and ensuring its alignment with human values and ethical considerations demands human wisdom and foresight.
Storytelling & Vision: Articulating a compelling vision for a new product or solution, inspiring adoption, building coalitions, and weaving a resonant narrative around innovation is a distinctly human art form, essential for bringing ideas to life.

Case Study 1: BenevolentAI – Igniting Scientific Intuition

Accelerating Drug Discovery with AI-Human Collaboration

Traditional drug discovery is a famously protracted, exorbitantly expensive, and often dishearteningly unsuccessful process. BenevolentAI, a pioneering AI-enabled drug discovery company, provides a compelling testament to AI augmenting, rather than replacing, human creativity.

The Challenge: Sifting through billions of chemical compounds and vast scientific literature to identify promising drug candidates and understand their complex interactions with specific diseases.
AI’s Role: BenevolentAI’s platform employs advanced machine learning to digest colossal amounts of biomedical data—from scientific papers and clinical trial results to intricate chemical structures. It uncovers hidden patterns and proposes novel drug targets or molecules that human scientists might otherwise miss or take years to find. This significantly narrows the focus for human investigation.
Human Creativity’s Role: Human scientists, pharmacologists, and biologists then leverage these AI-generated hypotheses. They apply their profound domain expertise, critical thinking, and scientific intuition to design rigorous experiments, interpret complex biological outcomes, and creatively problem-solve the path towards viable drug candidates. The AI provides the expansive landscape of possibilities; the human provides the precision, the ethical lens, and the iterative refinement.

**The Lesson:** AI liberates human scientists from data overwhelm, allowing their creativity to focus on the most intricate scientific challenges and accelerate breakthrough medical solutions.

Case Study 2: Autodesk – Unleashing Design Possibilities

Generative Design: Expanding the Horizon of Sustainable Products

Autodesk, a global leader in 3D design software, has masterfully integrated AI-powered generative design into its offerings. This technology beautifully illustrates how AI can dramatically expand the creative possibilities for engineers and designers, especially in critical fields like sustainable manufacturing.

The Challenge: Designing components that are lighter, stronger, and use minimal material (e.g., for aerospace or automotive sectors) while adhering to stringent engineering and manufacturing constraints.
AI’s Role: Designers input specific performance requirements (e.g., maximum weight, material types, manufacturing processes, stress points). The AI then employs complex algorithms to explore and generate thousands, even millions, of unique design options. These often include highly organic, biomimetic structures that would be beyond conventional human conceptualization, automatically optimizing for factors like material reduction and structural integrity.
Human Creativity’s Role: The human designer remains unequivocally in the driver’s seat. They define the initial problem, establish the critical constraints, and, most importantly, critically evaluate the AI-generated solutions. Their creativity manifests in selecting the optimal design, refining it for aesthetic appeal, integrating it seamlessly into larger systems, and ensuring it meets human-centric criteria like usability, manufacturability, and market appeal in the real world. AI provides the unprecedented breadth of possibilities; the human brings the discerning eye, the artistry, and the practical application.

**The Lesson:** AI provides an explosion of novel design options, freeing human designers to elevate their focus to aesthetic refinement, functional integration, and real-world impact.

Leading the Human-AI Innovation Renaissance

For forward-thinking leaders, the imperative is clear: shift the narrative from “AI will replace us” to “How can AI empower us?” This demands a deliberate cultivation of human-AI collaboration:

Upskill for Synergy: Invest aggressively in training your teams not just in using AI tools, but in the uniquely human skills that enable effective partnership: critical thinking, ethical reasoning, empathetic design, and advanced prompt engineering.
Design for Augmentation: Implement AI systems with the explicit goal of amplifying human capabilities, not merely automating existing tasks. Focus on how AI can enhance insights, accelerate iterations, and free up valuable human cognitive load for higher-value activities.
Foster a Culture of Play and Experimentation: Create safe spaces for teams to explore AI, experiment with its limits, and discover novel ways it can support and spark their creative processes. Encourage a “fail forward fast” mindset with AI.
Anchor in Human Values: Instill a non-negotiable principle that human empathy, ethical considerations, and purpose always remain the guiding stars for every innovation touched by AI. AI is a powerful tool; human values dictate its direction and impact.

The innovation landscape of tomorrow will not be dominated by Artificial Intelligence, nor will it be solely driven by human effort. It will be forged in the most powerful partnership ever conceived: the dynamic fusion of human ingenuity, empathy, and vision with the analytical power and scale of AI. This is not the end of human creativity; it is its most magnificent renaissance, poised to unlock solutions we can barely imagine today.

“The future of work is not human vs. machine, but human + machine.”
– Ginni Rometty

Extra Extra: 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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Future Trends in Innovation Metrics and Analytics

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Future Trends in Innovation Metrics and Analytics

GUEST POST from Art Inteligencia

For decades, organizations have grappled with the elusive challenge of measuring innovation. Traditional metrics—R&D spend, patent counts, or revenue from new products—have offered a rearview mirror perspective, telling us what happened, but rarely why, or what to do next. As a human-centered change and innovation thought leader, I’ve seen firsthand that this limited view often stifles true innovation, pushing teams towards incremental improvements rather than bold, transformative leaps. The future of innovation demands a radical shift in how we measure, analyze, and, crucially, understand its underlying human dynamics.

We are moving beyond simple outputs to a more holistic, predictive, and human-centric approach to innovation analytics. This evolution is driven by the increasing complexity of global markets, the imperative for continuous adaptation, and the undeniable recognition that innovation is ultimately a human endeavor, fueled by curiosity, collaboration, and psychological safety.

The Inadequacy of Yesterday’s Metrics

Relying solely on lagging indicators like “percentage of revenue from new products” can be profoundly misleading. It reveals past success but offers scant insight into the health of your current innovation pipeline or the evolving capabilities of your teams. Patent counts, while indicative of intellectual property generation, do not inherently correlate with market impact or customer value. These metrics often inadvertently encourage a focus on quantity over quality, and a siloed view of innovation as a departmental function rather than an overarching organizational capability.

The inherent challenge is that innovation is fundamentally messy, non-linear, and often unpredictable. Attempting to force it into neat, quantitative boxes inevitably overlooks the rich, qualitative data that truly propels breakthrough ideas.

Pivotal Future Trends in Innovation Metrics and Analytics

1. From Lagging to Leading Indicators: Measuring Potential

The future of innovation measurement lies in rigorously assessing the inputs and processes that *predict* future innovation success. This includes vital metrics around:

Experimentation Velocity: How swiftly are new ideas being prototyped, tested, and iterated upon? This reflects learning speed.
Psychological Safety Scores: Are employees genuinely comfortable taking calculated risks, openly sharing failures, and constructively challenging existing assumptions without fear?
Cross-Functional Collaboration Index: How effectively are diverse teams collaborating and exchanging knowledge on new initiatives and challenging problems?
Idea Generation & Diversity: The sheer volume and strategic breadth of new ideas being submitted and actively explored across the entire organization.

2. Qualitative & Behavioral Analytics: Unearthing the “Why”

Beyond raw numerical data, organizations will increasingly leverage rich qualitative insights to deeply understand user behavior, emotional responses, and the true problem-solving effectiveness of their innovations. This sophisticated approach involves:

User Journey Analytics: Meticulously mapping emotional highs and lows, identifying points of friction, and recognizing moments of profound delight throughout the user experience.
Sentiment Analysis: Analyzing unstructured feedback from customer reviews, social media discussions, and internal communications to accurately gauge perception and emotional resonance.
Observed Behavior: Direct, empathetic observation of how users naturally interact with prototypes and finished products, leading to the discovery of unspoken needs and intuitive design opportunities.

3. Ecosystem & Network Metrics: Beyond Organizational Walls

True innovation rarely flourishes in isolation. Future metrics will critically assess the health, vibrancy, and effectiveness of external partnerships, open innovation initiatives, and dynamic internal knowledge networks:

Partnership Value Index: Quantifying the strategic value, collaborative output, and mutual benefit derived from external alliances and collaborations.
Knowledge Sharing Flow: Measuring the velocity, impact, and reach of knowledge transfer both within and outside the traditional boundaries of the organization.
Community Engagement: Tracking active participation and meaningful contribution within open innovation platforms or customer co-creation initiatives.

4. Impact-Oriented Metrics: Holistic Value Creation

Innovation is no longer solely about financial returns. Organizations are increasingly accountable for broader societal and environmental impacts. Future metrics will profoundly reflect this critical shift:

Social & Environmental Impact Scores: Quantifying tangible contributions to sustainability, community well-being, or ethical practices, beyond mere compliance.
Customer Lifetime Value (CLV) from Innovation: Measuring precisely how new offerings enhance long-term customer relationships and loyalty, not just initial sales.
Employee Well-being & Engagement from Innovation: Assessing how innovation initiatives contribute to a positive, empowering, and thriving internal culture.

5. AI and Advanced Analytics: The Intelligent Layer

The sheer volume, velocity, and complexity of these new, diverse data points necessitate sophisticated analytical capabilities. AI and machine learning will move far beyond simple dashboards to provide truly predictive and actionable insights:

Predictive Modeling: Accurately forecasting the likelihood of innovation success based on the interplay of various leading indicators.
Pattern Recognition: Identifying subtle, non-obvious correlations and emerging trends between vast, diverse data sets that human analysts might easily miss.
Automated Anomaly Detection: Instantly flagging unexpected drops in collaboration, experimentation, or sentiment, signaling potential issues or emerging opportunities early.

Transformative Case Studies in Advanced Innovation Measurement

Case Study 1: “The Experimentation Engine” at a Global Consumer Goods Company

A large consumer goods company, historically characterized by slow innovation cycles, strategically shifted its primary focus from post-launch product revenue to experimentation velocity and rapid learning cycles. They implemented a sophisticated digital platform to meticulously track every experiment, ranging from minor packaging tweaks to entirely novel product concepts.

Metrics in Action: Instead of relying on traditional annual reviews of product P&Ls, teams were rigorously measured on:

The total number of experiments initiated per quarter.
The average time to complete an experiment (from initial hypothesis formulation to validated learning).
The number of “failed” experiments that, crucially, yielded significant, actionable insights.
The degree of cross-functional participation in experiment design and subsequent analysis.

Outcome:

Within a mere 18 months, the company witnessed an astonishing 300% increase in the number of experiments run annually. While many of these experiments “failed” in their initial hypothesis, the speed of learning accelerated dramatically across the organization. This profound shift led to a remarkable 25% reduction in time-to-market for successful new products and a significant increase in the hit rate of subsequent innovations, as insights gleaned from rapid failures directly informed more successful ventures. The organizational culture fundamentally transformed from risk-averse to a dynamic “fail fast, learn faster” ethos.

Case Study 2: “The Collaborative Ecosystem” at a Public Sector Innovation Lab

A pioneering government innovation lab, specifically tasked with solving complex societal challenges, quickly recognized that traditional metrics like “number of programs launched” were woefully insufficient. Their strategic focus pivoted to rigorously measuring the health, vibrancy, and tangible impact of their collaborative ecosystem.

Metrics in Action: They meticulously developed and tracked a suite of metrics centered around:

The diversity of stakeholders actively engaged per project (e.g., direct citizen involvement, NGOs, private sector partners, academic institutions).
The frequency and depth of impactful knowledge exchange across various network nodes and partner organizations.
Quantifiable social impact indicators (e.g., measurable reduction in specific social issues, demonstrable increase in citizen participation) directly attributable to collaborative initiatives.
The total number of truly cross-sector solutions co-created and successfully scaled for broader impact.

Outcome:

By proactively prioritizing these comprehensive ecosystem metrics, the lab underwent a profound transformation, evolving from a previously siloed entity into a dynamic central hub for public sector innovation. They experienced an impressive 50% increase in unique cross-sector partnerships within just two years. More significantly, the quality, scalability, and long-term sustainability of the solutions they developed improved dramatically, leading to measurable positive impacts on critical areas like urban planning and public health initiatives. This powerfully demonstrated that fostering a vibrant, interconnected innovation ecosystem is, in itself, a profoundly powerful metric of success.

Embracing the New Innovation Analytics Paradigm

The fundamental shift to these future-forward innovation metrics requires far more than just new dashboards; it demands a profound cultural transformation across the organization. Leaders must champion a mindset that deeply values continuous learning over elusive perfection, fosters open collaboration over internal competition, and prioritizes holistic impact over narrow financial gains. Investing in the right enabling tools—from sophisticated advanced analytics platforms to robust, intuitive collaboration software—is undeniably crucial, but the true, lasting transformation lies in empowering every team and individual to deeply understand and proactively act upon these richer, more insightful data points.

By courageously embracing these emerging trends, organizations can transcend merely tracking past performance to actively and intelligently shaping their innovative future. It’s about meticulously creating a dynamic, responsive system that not only precisely identifies breakthrough opportunities but also cultivates the essential human potential and collaborative spirit necessary to truly realize them. The future of innovation measurement is not just coming—it’s here, and it’s far more intelligent, comprehensive, and profoundly human-centered than anything we’ve ever witnessed before. 📈💡

Image credit: Pexels

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4 Ways to Create Trust with Your Customers

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4 Ways to Create Trust with Your Customers

GUEST POST from Shep Hyken

What brands do you trust the most? And why? There are certain products and companies that seem to own the trust of their customers. It stems from product quality, reliability, managing expectations, good customer service and, perhaps most importantly, consistency.

Keep in mind that consistency is related to all of the attributes mentioned. A consistently bad experience and poor quality, while still consistent, is the opposite of what you’re trying to create. And inconsistency is almost as bad. A great experience one day followed by an average or poor experience will cause customers to question what the next experience is going to be. A pattern of inconsistency kills confidence and trust.

Let’s break it down:

1. Quality and Reliability: A product or service must do what it’s supposed to do. When you think of the most successful brands, you trust them because you know what you’re going to get. That comes from confidence in the product and/or the customer service. If that confidence is broken, it can take a long time to rebuild trust—if the customer even chooses to give the company or brand another chance. For example, a popular restaurant chain had an E. coli outbreak. Even with a stellar reputation, it took years to regain the trust of its customers.

2. Customer Experience: Customer service must be easily available. Customer service isn’t a department. The best companies know that serving the customer is more than reacting to problems, answering questions and resolving complaints. It’s the way customers are treated throughout their entire journey with a company or brand.

And while you may want to have a 100% flawless experience in which the customer never has to reach out, it’s impossible. Every company is going to have problems. In the early days of Amazon, Jeff Bezos was famous for saying that Amazon should be so good that it didn’t need a customer support department. Maybe it was that good, but when the product left the warehouse a third party took over the shipping. And if the package was lost in transit, who would the customer blame? To the customer, it was Amazon’s fault. So, Amazon needed a support center, even for problems that weren’t its fault.

It’s not if there will ever be a customer service issue, it’s when. The best organizations recognize the need for an excellent experience combined with excellent customer support, when needed.

3. Managing Expectations: You don’t have to WOW a customer to get them to say, “Wow.” When people describe a “Wow” experience, it’s typically over-the-top. The problem is that you can’t always be over the top. The opportunities to be over-the-top or go above and beyond happen when there are special situations, such as a problem that is handled so well that the customer says, “Wow!”

The key is to not worry about trying to be over-the-top with every interaction, but to be just a little above average. It is consistent and predictable above-average experiences—even just a tiny bit above average—that make customers say, “Wow!” Speaking of consistent and predictable, we move on to the next attribute …

4. Consistency: Anything less than a consistent experience erodes trust. Consistency is where “the rubber meets the road.” As just mentioned, it is the consistent and predictable above-average experience that gets customers to say, “Wow!” What gets them to that point is when they say, “They are always so helpful … always so knowledgeable … they always respond quickly. …” It’s the word always followed by a positive comment. Often, those comments are basic expectations. Shouldn’t all employees be helpful, knowledgeable and respond quickly? Of course. Just meeting a customer’s expectations, with maybe a more positive attitude, will fuel the experience to be better than average. Consistency creates trust. Anything less erodes it!

Think of the brands you trust and why. The product does what it’s supposed to and meets your expectations. The experience is consistent, and the customer service is great. And to emphasize just how important the customer service part of this is, our 2022 customer service research found that 83% of customers trusted a company or brand more if it provided an excellent customer service experience.

If all of this seems like common sense, it is. Unfortunately, common sense is not always so common. So, be a little uncommon. Deliver quality and reliability, manage expectations and create a consistent and predictable experience that gets customers to say, “I’ll be back.”

This article originally appeared on Forbes

Image Credit: Pexels

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Cultivating Empathy in the Design Process

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Cultivating Empathy in the Design Process

GUEST POST from Chateau G Pato

In an era defined by rapid technological advancement and fierce competition, the true differentiator for any product, service, or experience is no longer just its functionality or aesthetics. It is, unequivocally, its ability to resonate deeply with the human beings it serves. As a human-centered change and innovation thought leader, I firmly believe that the cornerstone of this resonance, and indeed of all truly impactful design, is empathy.

Empathy in the design process is not merely about understanding what users say they want; it’s about delving into their unspoken needs, their underlying motivations, their emotional responses, and their pain points. It’s about stepping into their shoes, walking their journey, and seeing the world through their eyes. This profound understanding moves design beyond superficial features, transforming it into a powerful tool for solving real human problems and creating genuinely meaningful experiences.

Why Empathy is the Design Superpower

The benefits of embedding empathy at every stage of the design process are manifold and far-reaching:

Truly User-Centric Solutions: Empathy ensures that solutions are built around genuine, often unarticulated, user needs, leading to higher adoption and profound satisfaction.
Reduced Risk and Costly Rework: By understanding pain points and user behaviors early, design teams can avoid costly assumptions and extensive iterations down the line.
Unlocking Breakthrough Innovation: Empathy helps uncover latent needs and unmet desires, paving the way for truly disruptive and novel solutions that capture market share.
Stronger Customer Relationships: Products and services designed with deep empathy foster trust, loyalty, and emotional connection, turning users into passionate advocates.
Inclusive and Accessible Design: A profound empathetic understanding facilitates designing for diverse abilities, backgrounds, and contexts, promoting accessibility and equity for all.

Actionable Strategies for Cultivating Empathy

1. Embrace Deep Qualitative User Research

Go beyond superficial surveys and traditional focus groups. Engage in rich qualitative methods such as ethnographic studies, contextual inquiries, and in-depth, open-ended interviews. Observe users in their natural environments, understanding their behaviors, habits, and the nuanced context in which they interact with products or services. The paramount goal is to uncover the “why” behind their actions, not just the “what.”

2. Develop Comprehensive Empathy Maps and Personas

These powerful tools help synthesize complex qualitative data into tangible, shareable representations of your target users. An empathy map visually captures what a user “Says, Thinks, Feels, and Does,” along with their critical “Pains” and “Gains.” Personas then bring these insights to life, creating archetypal users with names, backgrounds, goals, and frustrations. These are not fictional constructs; they are data-driven composites that serve as a constant, humanizing reminder of who you are designing for.

3. Map the End-to-End User Journey

Visualize the entire experience a user has with your product or service, from initial awareness to post-use. A user journey map highlights every touchpoint, emotional highs and lows, critical pain points, and significant opportunities for improvement across different stages. This holistic view enables teams to understand the broader context of individual interactions and identify pivotal moments where empathy is most crucial.

4. Seek Immersive Experiential Learning

Whenever feasible, immerse yourself directly in the user’s world. This could involve shadowing them at their workplace, attempting to complete a task using their existing tools and constraints, or even temporarily adopting aspects of their lifestyle. These firsthand, visceral experiences create a depth of understanding that no amount of secondary data can replicate, fostering profound and authentic empathy.

5. Prototype, Test, and Iteratively Refine with Real Users

Empathy is not a static state; it’s a dynamic, continuous learning loop. Put prototypes in front of real users early and often, even in their roughest forms. Observe their interactions meticulously, listen intently to their verbal feedback, and pay close attention to their non-verbal cues. Each iteration should be directly informed by a deeper empathetic understanding gained from these invaluable testing sessions.

Transformative Case Studies in Empathetic Design

Case Study 1: Empowering Independent Living Through Healthcare Technology

A leading health technology company was developing a remote patient monitoring system designed for elderly individuals living independently. Initial iterations of the device were technologically advanced but proved overly complex and intimidating for the target demographic. Recognizing this critical disconnect, the design team initiated a comprehensive, empathy-driven redesign.

Empathy in Action: Designers spent several weeks conducting extensive in-home observations, engaging in deep interviews with elderly users about their daily routines, tech comfort levels, and specific physical limitations (e.g., dexterity challenges, vision impairments, hearing difficulties). Critically, they also interviewed caregivers and nurses who would be supporting these users, gaining insights into the broader support ecosystem. This immersive research revealed a paramount need for simplicity, clear visual feedback, and robust, ‘invisible’ connectivity. They learned that fear of technology, difficulty with small buttons, and a strong desire for autonomy were central to the user experience.

Outcome:

The redesigned system featured larger, highly tactile buttons, clear voice prompts for confirmation, simplified visual indicators, and a seamless ‘set-it-and-forget-it’ connectivity. The device transitioned from being a daunting “gadget” to a reassuring, almost invisible, presence. This profoundly empathetic approach led to a remarkable 40% increase in user adoption and consistent daily usage, significantly improving health outcomes through reliable data collection and proactive interventions.

Case Study 2: Reimagining Financial Inclusion for the Unbanked

A burgeoning fintech startup sought to create a mobile banking solution specifically for underserved communities, many of whom were “unbanked” or “underbanked” and harbored significant distrust of traditional financial institutions. Their initial concept, a mere simplified version of a standard banking app, quickly proved inadequate based on early user feedback.

Empathy in Action: The design team deliberately embedded themselves in various community centers, conducting informal conversations, one-on-one interviews, and interactive workshops. They listened intently to personal stories of financial struggle, the complexities of cash-based economies, and the pervasive fear of hidden fees or impenetrable financial jargon. They observed how people managed money day-to-day, often relying on physical envelopes or informal community networks. This deep dive revealed that trust was built through absolute clarity, predictable outcomes, and a genuine sense of financial empowerment, far beyond mere access to features.

Outcome:

The resulting app was revolutionary. It focused on intuitive visual budgeting (mimicking digital “envelopes”), incorporated gamified savings goals, and provided highly transparent, easy-to-understand transaction histories. It meticulously avoided complex financial terms, instead using relatable metaphors and simple language. Crucially, it integrated seamlessly with local community support networks. This truly empathetic design led to rapid and widespread adoption within target communities, helping thousands gain essential financial literacy and stability, powerfully demonstrating that understanding context and emotional barriers is paramount to achieving true financial inclusion.

Overcoming Challenges in Empathy Cultivation

Cultivating deep empathy within a design process is not without its inherent challenges. Time and resource constraints often pressure teams towards quicker, less immersive research methods. Unconscious cognitive biases can lead designers to inadvertently project their own experiences and assumptions onto users. To effectively overcome these hurdles, organizations must commit to:

Champion Empathy as a Strategic Investment: Frame empathetic design not as an overhead, but as a critical strategic imperative that demonstrably reduces risk, accelerates market adoption, and drives significant long-term value.
Build and Nurture Diverse Design Teams: Diverse perspectives inherently bring a broader range of life experiences and empathetic understanding to the table, enriching insights.
Foster a Culture of Unwavering Curiosity and Humility: Encourage designers and team members to constantly question their own assumptions, remain perpetually open to new insights from users, and embrace a mindset of continuous learning.

The Future of Design is Inherently Human-Centered

In conclusion, empathy is far more than a mere industry buzzword; it is the fundamental, indispensable operating principle for creating truly impactful and sustainable design in the 21st century. It transforms design from a purely technical or aesthetic exercise into a profound act of understanding, connection, and service. By intentionally cultivating empathy through deep, qualitative research, insightful tools, immersive experiences, and continuous iterative refinement, organizations can build products and services that not only function flawlessly but also resonate deeply on an emotional level, solve critical real-world problems, and ultimately, profoundly improve lives. Design with heart, design for humanity. 💖✨

Image credit: Pexels

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Reaching Beyond the Limits of Innovation and Transformation

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Reaching Beyond the Limits of Innovation and Transformation Recently on Episode #873 of the Marketer of the Day podcast, I had the opportunity to sit down with Robert Plank, have a great conversation, and chat about a number of different topics. Here is a quick excerpt:

“When it comes to innovation, timing is a huge factor. Going in too soon or too late can both cost you lots of money. Innovation isn’t all about creativity and value-creation, it is also about the services that you provide around your new idea and helping people understand how your idea can be of value to their lives. But how can we know if our innovative ideas can really affect people’s lives?”

Click the play button to listen to the podcast right here, right now:

Here is Robert Plank in his own words describing what the Marketer of the Day podcast is all about:

The Marketer of the Day Podcast interviews entrepreneurs who have been through “the struggle.”

They’ve experienced the headaches of repeat failure, trial-and-error, scaling, delegating, course-correcting, and getting their online businesses to succeed beyond their wildest dreams… and want to help you get to where you need to go.

Or visit Robert’s site here for additional information and all of the ways to subscribe to his podcast:

https://www.robertplank.com/873-innovation-change-customer-braden-kelley/

Time for Innovation Excellence

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Time for Innovation Excellence

GUEST POST from Norbert Majerus and George Taninecz

Lean manufacturing and the Toyota Production System started an industrial revolution (at least for those who adopted it). Transformative events that began in the automotive industry spread into many other sectors (including healthcare, finance, even innovation). However, the term “lean” may not have been the best description for what was occurring then or now.

Lean implies removing things, such as waste, which is an accurate description of a key lean tool. But lean but fails to address many other aspects of what we now know about this improvement method. Today the scope of most improvement transformations goes far beyond what was originally defined as “lean” and/or “continuous improvement.”

So, what should we call the current and future states of businesses that develop superior processes and a continuous improvement culture to become the best companies possible? I don’t know exactly who first introduced the term “excellence” but it’s all-encompassing nature of superiority certainly applies to what is going on in some — but not many — organizations.

For example, very few companies have attempted to apply excellence to innovation. Yet I started this transformation in the three Goodyear Innovation centers in 2006. In 2016, the Innovation Center in Akron, Ohio, received the AME Excellence Award, proving that innovation excellence works and that Goodyear got the right results from the transformation. The application of excellence to an innovation process delivers corporate results that go far beyond the cost savings traditionally achieved by focusing improvements on manufacturing. Innovation excellence moves both the top and bottom lines of companies as a larger number of new products and services are more quickly and efficiently delivered to customers, creating market advantages that are difficult for competitors to replicate.

So, what is “innovation excellence”? It is the implementation of a superior innovation system and the simultaneous creation of an innovation culture. The cultural part assures the continuous improvement of the system and its sustainability.

The innovation system includes processes and features like:

An agile risk management system that allows rigorous review of an abundance of new ideas at high speed and low cost

A superior knowledge management and technology development process

A cost-efficient mass design process

Lean principles to achieve perfect delivery, with much higher speed and lower costs

The characteristics of a culture of innovation are based on some well-known, lean people principles as well as change-management concepts that allow an organization to foster creativity and risk-taking:

Respect and care for people

Engagement and empowerment of all associates and stakeholders

Humble leadership

Change behaviors to change beliefs

The removal of fear at all levels

Allowing people to experiment effectively and efficiently

The right strategy and reward system

Although it is relatively easy to describe processes and systems, it’s hard to describe behaviors and cultural needs. Text definitions and bulleted lists often fail to describe the challenges of this type of work. I found that the most effective way to do that is by observation. Many executives think you must observe perfect behaviors at other companies and then try to apply them in their own; they forget that you can observe them (or the lack thereof) during gemba walks at their own company. First, you gain a technical understanding about your operations that isn’t possible from behind an office desk. By humbly watching and talking with the workforce, you also impart a sense of genuine interest and a willingness to support. Earnestly engaging individuals, asking sincere questions, and really listening to what’s said offers tremendous insight into a company’s culture and why — or why not — actions necessary to achieve excellence are being pursued.

I always devote significant time to “people transformation” in every presentation and workshop I teach on innovation excellence. I do this with stories and descriptions of real or invented characters, which I’ve learned are very popular with my audiences and tend to get the message across. They also give people enough of an understanding and motivation to change on their own.

Over the years I also learned to supplement the stories and descriptions with genuine emotions and feelings because they are at the core of change management. I’ve lived through all of this — the good and bad of cultural transformations — and I’ve felt the highs and lows that inevitably occur. That’s one of the reasons why George Taninecz and I wrote Winning Innovation as a business novel. The format has allowed us to show a cultural change coming alive and how the emotions, feelings, and actions of characters evolve along the way — eventually helping a company achieve innovation excellence.

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Engaging Distributed Teams in Remote Work

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Engaging Distributed Teams in Remote Work

GUEST POST from Art Inteligencia

The shift to remote work, accelerated by global events, has fundamentally reshaped how organizations operate. While offering unparalleled flexibility and access to a global talent pool, it presents unique challenges, particularly in maintaining engagement and fostering innovation within distributed teams. As a human-centered change and innovation thought leader, I’ve observed that simply providing tools isn’t enough; true engagement stems from intentional design and continuous effort centered around the human experience.

The goal isn’t just to make remote work work; it’s to make it thrive. We must move beyond replicating office norms online and instead embrace new paradigms that leverage the distinct advantages of a distributed model. This means focusing on clear communication, psychological safety, shared purpose, and opportunities for both individual growth and collective impact.

The Core Challenge: Bridging the Distance Gap

The primary hurdle in engaging distributed teams is overcoming the inherent distance gap – not just geographical, but also psychological and emotional. When team members aren’t sharing the same physical space, casual interactions that build rapport and understanding are diminished. This can lead to feelings of isolation, reduced collaboration, and a decline in spontaneous innovation. Without careful attention, distributed teams risk becoming transactional rather than relational.

To bridge this gap, organizations must proactively cultivate a culture of connection. This involves establishing clear channels for both formal and informal communication, investing in technologies that facilitate rich interaction, and, most importantly, empowering team leaders to act as facilitators of connection rather than just task managers.

Strategies for Enhanced Engagement

1. Foster Psychological Safety

Psychological safety is the bedrock of any high-performing team, and it’s even more critical in a remote setting. Team members need to feel safe to express ideas, ask questions, admit mistakes, and even challenge the status quo without fear of negative repercussions. In a distributed environment, where non-verbal cues are limited, leaders must explicitly create this safe space.

Be Accessible and Transparent: Leaders should make themselves visible and approachable. Regular “ask me anything” sessions, open office hours, and transparent communication about company performance can build trust.
Encourage Vulnerability: Leaders can model vulnerability by sharing their own challenges or lessons learned, making it easier for others to do the same.
Celebrate Learning from Failure: Shift the narrative from “failure is bad” to “failure is a learning opportunity.” When mistakes happen, focus on the insights gained and how to improve.

2. Prioritize Intentional Communication

Communication in distributed teams cannot be left to chance. It requires a deliberate strategy that accounts for different time zones, communication styles, and the nuances of digital interaction.

Establish Communication Norms: Define when and how different communication channels (e.g., Slack for quick questions, email for formal announcements, video calls for discussions) should be used.
Regular Synchronous Touchpoints: While flexibility is key, scheduled video meetings for team syncs, project updates, and social check-ins are crucial for maintaining cohesion. Make sure these meetings have clear agendas and defined outcomes.
Asynchronous Collaboration Tools: Leverage tools like shared documents, project management software, and asynchronous video messages (e.g., Loom) to allow team members to contribute on their own schedules. This is especially vital for global teams.

3. Cultivate a Shared Purpose and Vision

When working remotely, it’s easy for individuals to lose sight of the bigger picture. Regularly reiterating the team’s mission, vision, and how individual contributions align with organizational goals helps maintain motivation and a sense of collective purpose.

Communicate Impact: Regularly share success stories and the positive impact of the team’s work on customers or the organization.
Co-create Goals: Involve the team in setting goals and objectives. When individuals have a say in what they’re working towards, they’re more invested.

4. Invest in Technology and Training

The right tools are enablers, not solutions in themselves. Organizations must invest in robust, user-friendly platforms that support seamless collaboration and communication. Equally important is providing training on how to effectively use these tools and best practices for remote work.

Collaboration Platforms: Tools like Microsoft Teams, Slack, Zoom, and Google Workspace are essential.
Project Management Software: Asana, Trello, Jira, or Monday.com can help keep projects organized and transparent.
Virtual Whiteboards: Miro or Mural can facilitate brainstorming and creative problem-solving sessions.

Case Studies

Case Study 1: “Agile All-Stars” at a Global Tech Company

A large, global tech company struggled with disengagement among its distributed agile development teams. While they had all the standard tools, team members felt disconnected and innovation was stagnating. Leadership’s approach focused on re-humanizing the remote experience.

Implemented “Virtual Coffee Breaks”: Teams were encouraged to schedule 15-minute informal video calls twice a week with no agenda, just for casual chat.
Introduced “Innovation Sprints”: Instead of continuous, siloed work, teams dedicated one day a month to cross-functional “innovation sprints” using virtual whiteboards, focusing on solving challenging problems unrelated to their immediate backlog. This fostered cross-pollination of ideas and built stronger inter-team relationships.
Leadership Training on Empathy: Team leads received specific training on active listening, recognizing signs of disengagement remotely, and initiating empathetic conversations.

Results:

Within six months, employee engagement scores for these teams increased by 15%. The innovation sprints led to two significant product enhancements that were subsequently adopted company-wide, demonstrating the power of focused, collaborative efforts in a distributed setting.

Case Study 2: “The Creative Collective” at a Marketing Agency

A mid-sized marketing agency, traditionally office-centric, faced a steep learning curve with remote work. Their creative teams, used to spontaneous brainstorming in person, found virtual collaboration stifling. Leadership’s intervention centered on structured creativity and celebrating small wins.

Designed “Virtual Brainstorming Playbooks”: The agency developed clear guidelines and templates for virtual brainstorming sessions, utilizing tools like Mural for visual collaboration. These playbooks included warm-up exercises and structured ideation techniques.
Implemented “Show & Tell” Sessions”: Every Friday, teams held a “Show & Tell” where individuals could share a personal project, a new skill learned, or simply something that inspired them outside of work. This built personal connections and shared interests.
Created a “Kudos” Channel: A dedicated Slack channel was set up for public recognition of achievements, big or small. This fostered a culture of appreciation and acknowledged contributions that might otherwise go unnoticed in a remote setting.

Results:

The agency saw a noticeable improvement in the quality and quantity of creative ideas generated remotely. Team cohesion strengthened, evidenced by a 20% reduction in voluntary turnover among creative staff in the first year of the new initiatives. The “Kudos” channel became one of the most active communication streams, demonstrating the positive impact of public recognition.

The Future of Remote Engagement

Engaging distributed teams in remote work isn’t a one-time fix; it’s an ongoing journey of adaptation and improvement. Organizations must remain agile, continuously solicit feedback from their employees, and be willing to experiment with new approaches. The key is to remember that behind every screen is a human being with unique needs, aspirations, and challenges. By prioritizing human-centered design in our remote work strategies, we can unlock the full potential of distributed teams, fostering environments where innovation thrives, and individuals feel connected, valued, and empowered to do their best work, no matter where they are. 🌍💡

Image credit: Pixabay

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Four Lessons Learned from the Digital Revolution

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Four Lessons Learned from the Digital Revolution

GUEST POST from Greg Satell

When Steve Jobs was trying to lure John Sculley from Pepsi to Apple in 1982, he asked him, “Do you want to sell sugar water for the rest of your life, or do you want to come with me and change the world?” The ploy worked and Sculley became the first major CEO of a conventional company to join a hot Silicon Valley startup.

It seems so quaint today, in the midst of a global pandemic, that a young entrepreneur selling what was essentially a glorified word processor thought he was changing the world. The truth is that the digital revolution, despite all the hype, has been something of a disappointment. Certainly it failed to usher in the “new economy” that many expected.

Yet what is also becoming clear is that the shortcomings have less to do with the technology itself, in fact the Covid-19 crisis has shown just how amazingly useful digital technology can be, than with ourselves. We expected technology and markets to do all the work for us. Today, as we embark on a new era of innovation, we need to reflect on what we have learned.

1. We Live In a World of Atoms, Not Bits

In 1996, as the dotcom boom was heating up, the economist W. Brian Arthur published an article in Harvard Business Review that signaled a massive shift in how we view the economy. While traditionally markets are made up of firms that faced diminishing returns, Arthur explained that information-based businesses can enjoy increasing returns.

More specifically, Arthur spelled out that if a business had high up-front costs, network effects and the ability to lock in customers it could enjoy increasing returns. That, in turn, would mean that information-based businesses would compete in winner-take-all markets, management would need to become less hierarchical and that investing heavily to win market share early could become a winning strategy.

Arthur’s article was, in many ways, prescient and before long investors were committing enormous amounts of money to companies without real businesses in the hopes that just a few of these bets would hit it big. In 2011, Marc Andreesen predicted that software would eat the world.

He was wrong. As the recent debacle at WeWork, as well as massive devaluations at firms like Uber, Lyft, and Peloton, shows that there is a limit to increasing returns for the simple reason that we live in a world of atoms, not bits. Even today, information and communication technologies make up only 6% of GDP in OECD countries. Obviously, most of our fate rests with the other 94%.

The Covid-19 crisis bears this out. Sure, being able to binge watch on Netflix and attend meetings on Zoom is enormously helpful, but to solve the crisis we need a vaccine. To do that, digital technology isn’t enough. We need to combine it with synthetic biology to make a real world impact.

2. Businesses Do Not Self Regulate

The case Steve Jobs made to John Sculley was predicated on the assumption that digital technology was fundamentally different from the sugar-water sellers of the world. The Silicon Valley ethos (or conceit as the case may be), was that while traditional businesses were motivated purely by greed, technology businesses answered to a higher calling.

This was no accident. As Arthur pointed out in his 1996 article, while atom-based businesses thrived on predictability and control, knowledge-based businesses facing winner-take-all markets are constantly in search of the “next big thing.” So teams that could operate like mission-oriented “commando units” on a holy quest would have a competitive advantage.

Companies like Google who vowed to not “be evil,” could attract exactly the type of technology “commandos” that Arthur described. They would, as Mark Zuckerberg has put it, “move fast and break things,” but would also be more likely to hit on that unpredictable piece of code that would lead to massively increasing returns.

Unfortunately, as we have seen, businesses do not self-regulate. Knowledge-based businesses like Google and Facebook have proven to be every bit as greedy as their atom-based brethren. Privacy legislation, such as GDPR, is a good first step, but we will need far more than that, especially as we move into post-digital technologies that are far more powerful.

Still, we’re not powerless. Consider the work of Stop Hate For Profit, a broad coalition that includes the Anti-Defamation League and the NAACP, which has led to an advertiser boycott of Facebook. We can demand that corporations behave how we want them to, not just what the market will bear.

3. As Our Technology Becomes More Powerful, Ethics Matter More Than Ever

Over the past several years some of the sense of wonder and possibility surrounding digital technology gave way to no small amount of fear and loathing. Scandals like the one involving Facebook and Cambridge Analytica not only alerted us to how our privacy is being violated, but also to how our democracy has been put at risk.

Yet privacy breaches are just the beginning of our problems. Consider artificial intelligence, which exposes us to a number of ethical challenges, ranging from inherent bias to life and death ethical dilemmas such as the trolley problem. It is imperative that we learn to create algorithms that are auditable, explainable and transparent.

Or consider CRISPR, the gene editing technology, available for just a few hundred dollars, that vastly accelerates our ability to alter DNA. It has the potential to cure terrible diseases such as cancer and Multiple Sclerosis, but also raises troubling issues such as biohacking and designer babies. Worried about some hacker cooking up a harmful computer virus, what about a terrorist cooking up a real virus?

That’s just the start. As quantum and neuromorphic computing become commercially available, most likely within a decade or so, our technology will become exponentially more powerful and the risks will increase accordingly. Clearly, we can no longer just “move fast and break things,” or we’re bound to break something important.

4. We Need a New Way to Evaluate Success

By some measures, we’ve been doing fairly well over the past ten years. GDP has hovered around the historical growth rate of 2.3%. Job growth has been consistent and solid. The stock market has been strong, reflecting robust corporate profits. It has, in fact, been the longest US economic expansion on record.

Yet those figures were masking some very troubling signs, even before the pandemic. Life expectancy in the US has been declining, largely due to drug overdoses, alcohol abuse and suicides. Consumer debt hit record highs in 2019 and bankruptcy rates were already rising. Food insecurity has been an epidemic on college campuses for years.

So, while top-line economic figures painted a rosy picture there was rising evidence that something troubling is afoot. The Business Roundtable partly acknowledged this fact with its statement discarding the notion that creating shareholder value is the sole purpose of a business. There are also a number of initiatives designed to replace GDP with broader measures.

The truth is that our well-being can’t be reduced to and reduced to a few tidy metrics and we need more meaning in our lives than more likes on social media. Probably the most important thing that the digital revolution has to teach us is that technology should serve people and not the other way around. If we really want to change the world for the better, that’s what we need to keep in mind.

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

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