Category Archives: Innovation

Six Simple Growth Hacks for Startups

Six Simple Growth Hacks for Startups

GUEST POST from Soren Kaplan

Building a new business is tough. These strategies will help your startup succeed without a big investment.

As many of my readers know, I usually write about strategy, innovation, and leadership. But recently I’ve been asked a lot about how I helped establish Praxie.com as a destination website for hundreds of best practice digital tools and templates using growth hacking strategies. That’s because it’s incredibly hard to cut through the noise and establish a new brand, website presence, and business model in today’s increasingly cluttered competitive world.

So, here’s what we did to build a brand and drive tens of thousands of visitors to our website each month, all without any significant marketing investment. Anyone who’s focused, methodical, and willing take the time can do it.

1. Create Expert Content

Content is king. You can create it yourself or provide a platform that encourages users to contribute content as part of your business model. Content drives the brand and engages customers. Plus, Google and other search engines index and prioritize pages with solid content, so your specific webpages with noteworthy content will get a boost in SEO rankings and see increased traffic over time. Content comes in many forms: articles, blog posts, listicles, white papers, templates, and videos.

2. Syndicate Content to Grow Backlinks

Backlinks are the lifeblood of SEO. The more that reputable websites link back to your website (or sub-pages on your site), the higher you’ll rank will be in search engines. And the higher your rank, the more organic visitors you’ll receive. Whatever you’re doing or providing as part of your business, position yourself as the expert. Become a source of knowledge and insight for the press, get interviewed on podcasts, write articles for other sites, or do anything else that gets your name (and backlink) out there on the net. This strategy also builds your brand.

3. Become a Video Star

Content isn’t just about the written word. YouTube is now the number-two search engine in the world, right behind Google. Video content highlights your expertise. It gets shared. And it drives traffic to your website that can convert to newsletter signups, subscriptions, and product purchases. Be sure to include keywords in the titles and descriptions of your videos. Also include a plug at the end of the video for where the viewer can learn more (e.g., your website). Re-purpose your videos on social media and embed videos into your website to further reinforce your content expertise.

4. Build Email Relationships

While just about every email inbox is cluttered with spam these days, when someone gives you their email address, they’re essentially giving you permission (opting in) to connect with them. While the same principle applies to social media, email is still a unique, higher-touch, form of connection-making. As compared with social media, email is like pinning a flyer up on someone’s front door versus hoping they see one that has been posted on the corner telephone pole as they walk by. So, create easy ways for people to sign up for newsletters. Connect with others on LinkedIn, where most profiles include email addresses. Focus on building a list and providing high-value communications that use expert content to connect with your audience versus just trying to sell them your product. Many free or inexpensive tools can get you started like Mailchimp and Constant Contact.

5. Measure Everything Using Dashboards

The only way to gauge progress is to measure it. Use Google Analytics to track your most important metrics, like the number of visitors, landing pages, conversion rates for your newsletter and purchases, and more. Use free tools like those provided by Moz and Similarweb to benchmark yourself against the competition. Connect social media metrics and advertising into a dashboard that provides a holistic picture of the business. But don’t spend too much time cobbling together data. Keep it simple so you can get a quick read on how you’re doing while spending most of your time doing the things that grow your business.

6. Test, Retest, and Test Again

Google recently introduced a great tool called Optimize. Optimize allows you to quickly run tests on your website or individual web pages. By creating A/B tests that serve up different page headings, product prices, button colors, etc., you can gain insight into what works and what doesn’t based on what you’re trying to achieve. Track which market positioning statements result in the most newsletter signups or which price model delivers the greatest revenue. Running tests should be an ongoing activity which essentially means you’re taking the winning formula from your A/B test and then running another A/B test using that as the baseline. Connect your tests to your data analytics to track what works (and doesn’t) over time.

Most small startups don’t have big funding. That’s why growth hacks are so important. Use a little elbow grease, coupled with savvy customer engagement strategies, to build the basis for market traction. You might need to give it a little time to yield results, but that’s also what’s needed to create an enduring business.

Image Credit: Getty Images (acquired by Soren Kaplan)

This article was originally published on Inc.com and has been syndicated for this blog.

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The Untapped Power of Purpose-Driven Innovation

Beyond Profit

The Untapped Power of Purpose-Driven Innovation

GUEST POST from Chateau G Pato

For too long, the default engine of innovation has been the singular pursuit of profit. Companies have innovated to reduce costs, increase market share, and maximize shareholder value. While this model has driven incredible progress, it has also led to a significant oversight: the untapped power of purpose. The world’s most impactful and resilient companies are beginning to realize that the most potent innovations aren’t just about making money; they are about making a difference.

Purpose-driven innovation is a mindset that places a social or environmental mission at the heart of the innovation process. It moves beyond traditional Corporate Social Responsibility (CSR) and integrates purpose as a core strategic driver. It’s about asking, “What problem in the world can we solve, and how can our innovation and business model be the solution?” This approach doesn’t just create new products or services; it creates new markets, builds fierce customer loyalty, and attracts the best talent. When purpose becomes the lens through which we innovate, we create a powerful feedback loop where doing good and doing well become one and the same.

The Untapped Advantages of a Purpose-First Mindset

The greatest misconception about purpose-driven innovation is that it comes at the expense of profitability. On the contrary, purpose can be the very catalyst for profitability. By solving a significant social or environmental challenge, companies can create a strong competitive advantage that is difficult for others to replicate. They build an emotional connection with consumers who are increasingly making purchasing decisions based on their values.

Purpose as a Strategic Lever

  1. Deepened Customer Loyalty: Customers today are looking for authenticity. They want to buy from companies that share their values. Purpose-driven innovations create a bond that goes beyond a transactional relationship, fostering loyalty that withstands market fluctuations and builds brand advocacy.
  2. Attracting and Retaining Top Talent: The best and brightest employees are no longer motivated solely by salary. They are seeking meaningful work and a sense of belonging. A clear and compelling purpose is a powerful recruiting tool, and it inspires employees to bring their full creativity and passion to their work, driving internal innovation.
  3. Opening New Market Categories: By addressing an underserved social or environmental need, purpose-driven innovators can create entirely new market categories. They see problems not as liabilities, but as opportunities for growth and value creation, expanding their total addressable market in novel ways.

Case Study 1: The Eyewear Company with a Global Vision

An innovative eyewear company built its entire business model around a single, powerful purpose: to help people see. For every pair of glasses sold, the company provides a pair to someone in need. This isn’t a side project; it is the core of their brand identity. Their innovation extends beyond product design to their business model itself, creating an efficient supply chain that can deliver affordable eyewear to communities in need, while simultaneously building a premium, stylish brand that appeals to conscious consumers.

The result? The company has not only grown into a multi-billion dollar enterprise but has also provided millions of pairs of glasses globally, improving quality of life, their ability to work, and educational opportunities.

This case study demonstrates how a powerful purpose can become an unshakeable differentiator and a primary driver of financial success, turning a social mission into a core competitive advantage.

Case Study 2: The Outdoor Apparel Brand and Sustainability

A well-known outdoor apparel company has long championed a purpose rooted in environmental sustainability. Their innovation is not just about making the best gear for the outdoors; it’s about innovating to protect the outdoors. This has led to groundbreaking innovations in sustainable materials, like recycled polyester, and has pushed the entire industry towards more responsible practices. They created a repair program that encourages customers to fix their gear rather than replace it, a radical idea in a consumer-driven world.

Their purpose has created a fiercely loyal customer base that views their purchases as a form of environmental activism. When a customer buys their product, they are not just buying a jacket; they are making a statement about their values.

This company’s purpose-driven innovation has created a powerful brand identity that is synonymous with sustainability, allowing them to command a premium price and maintain a leadership position by fostering a community of shared values.

Building Your Purpose-Driven Strategy

To become a purpose-driven innovator, organizations must start by defining their purpose—not as a marketing slogan, but as a genuine commitment. It requires leaders to be brave enough to ask tough questions about their company’s impact on the world. The shift requires moving from a “what” and “how” mindset to a “why” mindset. Consider these steps:

  • Identify a Core Purpose: What is a problem your organization is uniquely positioned to solve? This purpose must be authentic and align with your brand’s heritage and capabilities.
  • Embed Purpose in Innovation KPIs: Move beyond traditional metrics like ROI and consider “Return on Impact.” How will you measure the social or environmental outcome of your innovations?
  • Empower Your Teams: Give employees the autonomy to innovate with purpose. They are often the best source of ideas for how to integrate social impact into your products and processes.

This is the future of innovation. It is a world where profitability and purpose are not mutually exclusive, but rather, are two sides of the same coin. The most successful innovations of the 21st century will not only solve a market need, they will also solve a human need. They will be driven not just by a desire for profit, but by an unwavering commitment to a bigger, more meaningful purpose.

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: Dall-E

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Are You Hanging Your Chief Innovation Officer Out to Dry?

Are You Hanging Your Chief Innovation Officer Out to Dry?

GUEST POST from Teresa Spangler

Only 7 percent of companies are delivering on the growth triple play by unifying creativity, analytics, and purpose. They are driving average revenue growth of 2.3 times versus peers from 2018–19 (which increased to 2.7 times versus peers from 2019–20). McKinsey

Many innovation leaders are feeling “hung out to dry.” It’s not for the lack of desire to innovate for sure. The challenge is the current innovation processes themselves are not always conducive to actually innovating:

  1. the effort hits the balance sheet and potentially impacts profits
  2. organizational teams fear the unknown and not being involved so often does not support the effort
  3. some innovation leaders alienate team members by pushing too hard
  4. and the priorities of the day simply just get in the way of doing new things.

Innovation is not a buzzword, it is not easy or for the faint at heart. In a hyper-disruptive economy where technologies are impacting everything and changing at unfathomable speeds, keeping pace with trends will take a concentrated effort with very little tolerance for complacency.

Times of uncertainty bring times of doubt and fear on taking risks and making changes. However, the opposite is needed to continue growth in challenging economic times. Companies that infuse creativity and combine creativity with analytics and as McKinsey notes, PURPOSE, continue growth at a faster pace. These companies are creating new products that matter to their customers, they are innovating new campaigns and ways to engage customers as well as new ways to acquire new customers. Innovating methods, business models, and campaigns are just a few outcomes of driving creativity and an analytic savvy in your company’s culture.

Innovation does not have to be groundbreaking disruption (of course it can be! but does not have to be). Iterative changes to the benefit of future needs of customers can be a ground-breaking change for your company’s growth strategy. What is your company’s risk tolerance? What freedom to play with new ideas does your innovation team have or your new product development team encourage? How well aligned are creative process with sales, marketing and product teams?

Plazabridge Group has been involved with 100’s of projects over 15 years and we’ve seen success come to those that double down in the hardest times staying future focused. Segmenting out a future’s team that focuses on the future is important. The day-to-day business must keep going. There are a number of methodologies that work well but none will work at all without a few key changes to the organization to ensure ideas flow from ideation to commercialization.

In the The Wall Street Journal article: Why More Companies Are Putting the LEGO Group Bricks in the Office, Lego Serious Play (LSP) has been used by the U.S. Naval War College (Warfare Division), and spread across energy, transport and finance industries. Companies including Google, Ernst & Young, Microsoft, Visa, Lexus and Procter & Gamble have used it. Plazabridge Group uses LSP in our innovation future planning workshops for companies.

The key is not all play! The necessity to drive a stronger analytic savvy is critical to the effort. In the efforts to create, we must answer the questions: WHO CARES? and WHY? and WHAT WILL THEY CARE ABOUT IN THE FUTURE?

Here are a few tips to consider that may help make driving innovating just a bit easier on the organization:

  1. Build your innovation team’s sandbox and give them freedom to work within these constraints. Innovation is not permission to roam freely and haphazardly. Under a defined set of guidelines with a defined budget and set of resources the innovation team can be quite effective.
  2. Remove barriers to approvals under the above guidelines. Allow the innovation team to introduce to departments and company leaders new ways of thinking by hosting events or information sessions to the teams. By doing so it begins to remove fear of the unknown and the mystery around the effort. Open communications and systems can be a very positive outcome.
  3. Don’t be afraid to approach innovation from outside. There are a number of ways to do this, but you will need a strong leader inside to lead the way and manage the inside out and the outside in process.
  4. Recognize that new innovations do not always fit nicely in the current company structure, processes and culture. Consider spinning it out and investing in new ventures as their own entities.

At the end of the day, you need strong people with a tenacity to pursue outside the world of the unknown. This does not always feel comfortable to the organization. Just don’t leave the innovation team “hanging out to dry!”

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The Augmented Innovator

Partnering with AI for Breakthrough Ideas

The Augmented Innovator

GUEST POST from Art Inteligencia

For decades, the innovation conversation has centered on the human mind—the lone genius, the creative team in a brainstorming session, the serendipitous “aha!” moment. While human ingenuity remains the North Star of innovation, a new, indispensable partner has emerged: Artificial Intelligence. The question is no longer “will AI replace us?” but rather, “how can we partner with AI to amplify our creative potential and achieve breakthrough ideas that were previously out of reach?”

The future of innovation isn’t about AI versus human. It’s about AI plus human. It’s about the Augmented Innovator—a leader, a team, or an entire organization that consciously and strategically partners with AI to augment their innate human capabilities. This partnership frees us from the mundane, helps us identify patterns we would have otherwise missed, and empowers us to focus on the uniquely human aspects of innovation: empathy, ethics, emotional intelligence, and storytelling.

The Innovation Partnership: Humans Lead, AI Amplifies

The key to this partnership is understanding and respecting the unique strengths of each player. Humans are exceptional at generating original, often illogical, and deeply empathetic ideas. We possess a nuanced understanding of human needs, desires, and irrationalities. AI, on the other hand, is a master of data synthesis, pattern recognition, and rapid iteration. It can process vast datasets in seconds, identify correlations that would take humans years to find, and generate thousands of variations on a theme.

By combining these strengths, we create a powerful innovation engine. The human innovator leads with a “Why” – a problem to solve, a user need to address. The AI then becomes a force multiplier, assisting with the “What” and the “How,” providing the data-driven insights and creative scaffolding that accelerate the journey from idea to impact.

Three Strategic Pillars for AI-Powered Innovation

  1. AI as a Discovery Engine: AI can be an unparalleled tool for ethnographic research and trend spotting. Instead of relying solely on small-sample focus groups or surveys, AI can analyze social media conversations, customer support tickets, search query data, and market reports to identify latent needs, emerging trends, and unmet frustrations on a massive scale. This provides a data-rich foundation for human-led ideation, ensuring our creativity is grounded in genuine market needs.
  2. AI as a Creative Catalyst: The blank page can be an innovator’s greatest foe. AI can serve as a powerful brainstorming partner, generating prompts, suggesting unexpected associations, and rapidly producing design variations. Think of it as a limitless library of ideas, allowing the human to focus on curating, refining, and injecting the emotional depth and cultural context that AI lacks. This co-creation process is where truly novel ideas emerge.
  3. AI as a Prototyping Accelerator: The innovation process is often slowed by the time it takes to build and test prototypes. AI-powered tools can generate code, create design mockups, and even simulate user experiences in a fraction of the time. This rapid prototyping cycle allows human innovators to test more ideas, fail faster, and get to the right solution quicker, transforming the bottleneck of execution into a sprint.

Case Study 1: The Retailer’s AI-Powered Product Line

A global apparel retailer was struggling to predict fashion trends and reduce product waste. Their traditional process involved human designers and trend forecasters relying on intuition, trade show data, and historical sales numbers. This often led to overproduction of unpopular items and a missed opportunity to capitalize on emerging styles.

The company implemented an AI-driven trend analysis platform. The AI ingested massive amounts of data from social media, fashion blogs, online purchase histories, and even satellite imagery of popular public gatherings. It identified subtle, micro-trends that human analysts had missed—like a specific shade of ochre becoming popular in street fashion in a handful of major cities. Human designers then used these AI-generated insights as a creative springboard. They didn’t just copy the trends; they infused them with their brand’s unique identity, ethical sourcing commitments, and storytelling. The AI became their research assistant and creative muse.

The takeaway: This partnership created a product line that was both data-informed and emotionally resonant, proving that AI’s analytical power, combined with a human’s creative judgment, is a potent recipe for market success and sustainability.

Case Study 2: Accelerating Breakthroughs in Scientific R&D

A major pharmaceutical company faced a monumental challenge: the traditional drug discovery process is incredibly long, expensive, and has a high failure rate. Identifying promising drug candidates and testing their efficacy and safety often takes a decade or more.

The company began using an AI-powered drug discovery platform. The AI was trained on a vast database of molecular structures, genetic information, and scientific research papers. Its task was to analyze billions of possible molecular combinations and predict which ones were most likely to bind to a specific protein target. This process, which would have been impossible for humans to perform in a lifetime, was completed by the AI in just a few months. The AI then presented a list of the most promising candidates to the human research team.

The human scientists, freed from the drudgery of manual data analysis, could now focus on the complex, qualitative work of lab testing, clinical trials, and ethical considerations. The AI didn’t invent the drug; it identified the most probable starting points. The human-led team then applied their deep domain expertise and intuition to navigate the nuanced challenges of medical science.

The takeaway: This partnership accelerated the discovery process by a factor of five, leading to a promising new drug candidate entering clinical trials years ahead of schedule. The human-AI partnership didn’t just make the process faster; it made a previously impossible task achievable.

Final Thoughts: Designing the Partnership for the Future

The promise of AI in innovation is not about a technological magic wand; it’s about a well-designed partnership. As leaders, our role is to create the conditions for this partnership to thrive. This means:

  • Clarifying the Human Role: We must define that AI is a tool to empower, not replace. Our value lies in our empathy, our judgment, and our ability to tell compelling stories. We are the architects of the “Why.”
  • Building Trust and Transparency: We must ensure that AI tools are transparent, explainable, and used ethically. Trust is the foundation of any successful partnership, and without it, adoption will fail.
  • Fostering a Learning Culture: We must encourage continuous learning and experimentation, empowering our teams to become masters of both their craft and the new AI tools that can augment their work.

The Augmented Innovator is the next evolution of human-centered innovation. By consciously and creatively partnering with AI, we can move beyond incremental improvements and unlock a new era of breakthrough ideas that will shape a better, more innovative future. This is the opportunity of our time—to not just use the tools of tomorrow, but to master the art of working alongside them.

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: Microsoft CoPilot

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Neuroscience-Backed Strategies for Embracing Disruption

The Brain on Change

Neuroscience-Backed Strategies for Embracing Disruption

GUEST POST from Chateau G Pato

In today’s hyper-accelerated world, the only constant is change. Yet, for all our talk of agility and transformation, up to 70% of organizational change initiatives still stumble or outright fail. Why? Because we often overlook the most powerful and complex component in the equation: the human brain. We mandate, we communicate, we train, but we rarely design for how the brain actually processes disruption.

Our brains are exquisitely wired for survival. They crave predictability, efficiency, and safety. When faced with the unknown, the uncertain, or a perceived loss of control, our ancient limbic system – specifically the amygdala – fires up, triggering a “threat response.” This isn’t a conscious choice; it’s a primal, neurobiological reaction that floods our system with stress hormones, impairs rational thought, and leads directly to resistance, disengagement, and even outright rebellion. Trying to force change against this innate wiring is like trying to drive a car with the brakes on.

But what if we could shift our approach? What if we could harness the incredible power of neuroplasticity – the brain’s lifelong ability to rewire itself and form new connections – to cultivate a workforce not just tolerant of change, but genuinely adaptable and innovative? The burgeoning field of neuro-leadership offers a compelling, science-backed roadmap for doing just that.

The SCARF Model: A Compass for Navigating the Inner Landscape of Change

At the heart of understanding the brain on change lies Dr. David Rock’s insightful SCARF model. This framework identifies five key social domains that strongly influence whether our brains perceive a situation as a threat or a reward:

  • Status: Our sense of relative importance or standing. A perceived reduction in status can be deeply threatening.
  • Certainty: Our need for predictability and clear expectations about the future. Ambiguity is a major threat trigger.
  • Autonomy: Our sense of control over our own lives and work. Being told what to do without input can feel disempowering.
  • Relatedness: Our need for social connection, belonging, and trust. Feeling isolated or excluded is a significant threat.
  • Fairness: Our perception of equitable exchanges and just treatment. Injustice triggers strong threat responses.

When these domains are threatened during a period of organizational change, resistance is a natural, albeit often unconscious, outcome. Conversely, by consciously designing change initiatives that bolster these elements, leaders can foster psychological safety and activate the brain’s reward pathways, making people more receptive and engaged.

Neuroscience-Backed Strategies for a Human-Centered Transformation

Translating this understanding into actionable strategies is where the real power lies:

  1. Cultivate Unwavering Psychological Safety: This is the bedrock. For true embrace of disruption, people must feel safe to voice concerns, ask “dumb” questions, experiment, and even fail without fear of retribution. Leaders must actively model vulnerability, admit what they don’t know, and create open forums for dialogue. When the amygdala is calm, the prefrontal cortex – our center for rational thought, creativity, and problem-solving – can engage fully. A culture that embraces “failing fast” subtly reinforces safety around risk-taking.
  2. Break Down Change into Digestible Increments (and Celebrate Each Bite): Large, amorphous changes can overwhelm the brain, triggering an “energy drain” threat response. Our brains seek efficiency, and tackling a massive, ill-defined task feels incredibly inefficient. Instead, break down the transformation into smaller, clearly defined, and achievable steps. Each successful completion, no matter how minor, triggers a dopamine release – the brain’s natural reward chemical – reinforcing the new behavior and building momentum. This consistent positive reinforcement literally helps to hardwire new neural pathways, making the desired behaviors more automatic over time.
  3. Maximize Autonomy and Empower Co-Creation: Nothing triggers a threat response faster than a feeling of powerlessness. Mandating change from the top down, without input, crushes individual autonomy. Instead, involve employees in the design and implementation of the change. Empower teams to explore solutions, define processes, and even identify problems. This sense of ownership not only vastly increases buy-in but also taps into the collective intelligence and creativity of your workforce, activating the brain’s reward centers associated with competence and control.
  4. Strengthen Relatedness and Build Community: Humans are profoundly social creatures; our survival historically depended on strong group bonds. During periods of uncertainty, social isolation is a major threat. Foster collaboration, build strong cross-functional teams, and create frequent opportunities for people to connect, share experiences, and support one another. Initiatives that reinforce a sense of “we’re in this together” mitigate threat responses and build the trust essential for navigating disruption.
  5. Prioritize Transparency and Reduce Ambiguity (Where Feasible): While complete certainty is a mirage in a disruptive world, leaders can significantly reduce the brain’s cognitive load – and thus its threat response – by providing clear, consistent, and transparent communication. Explain the “why” behind the change, the anticipated outcomes, and the evolving roadmap. Even when details are uncertain, communicate what is known and what is still being figured out. This honest approach helps the brain create a clearer mental map, conserving precious cognitive energy that can then be redirected towards adapting to the change itself.

Case Study 1: Transforming a Legacy Financial Institution

A venerable financial institution, facing existential threats from nimble fintech startups, embarked on a sweeping digital transformation. Their initial top-down directives to adopt new technologies were met with palpable fear, resistance, and an alarming spike in employee turnover. Recognizing the human cost, the executive team pivoted, bringing in a change consultancy that prioritized neuroscience-backed approaches.

Instead of simply rolling out new software, they launched “Digital Reimagination Labs.” These were safe spaces where employees from all levels and departments could experiment with emerging technologies without fear of judgment or failure. This directly addressed Status (by valuing their input and learning) and Autonomy (by giving them control over their exploration). Regular “Future of Finance” town halls, led by transparent executives, directly confronted anxieties about job displacement by outlining new skill development programs and career pathways (boosting Certainty and Fairness). Small, cross-functional “Agile Pods” were formed to prototype new digital products, giving members immense Autonomy and fostering strong Relatedness. Each successful pilot was widely celebrated, reinforcing positive neural pathways.

The transformation was profound. Employee engagement soared, internal innovation flourished, and the institution successfully launched several cutting-edge digital products, not just staving off disruption but reclaiming market leadership. The shift was less about technology implementation and more about a deliberate rewiring of the organizational culture.

Case Study 2: Agile Adoption in a Global Manufacturing Giant

A global manufacturing powerhouse aimed to implement agile methodologies across its product development divisions to accelerate innovation and time-to-market. The deeply entrenched, hierarchical “waterfall” processes had created a culture where rigidity was king. Engineers and project managers, accustomed to meticulous planning, saw agile as a chaotic threat to their expertise and stability.

The leadership team, informed by neuroscientific principles, recognized that simply mandating agile would fail. They began by re-framing agile not as a radical overthrow, but as an evolution that would empower teams and lead to more satisfying, impactful work (appealing to Status and Autonomy). They introduced agile incrementally, starting with small, volunteer pilot teams in non-critical areas. This “small batch” approach significantly reduced the perceived Certainty threat. “Agile Coaches” were introduced, not as process police, but as supportive mentors and facilitators, fostering strong Relatedness and psychological safety. Critically, regular “Lessons Learned & Wins” sessions openly discussed challenges and celebrated every small success, from a smoother stand-up meeting to a completed sprint. This consistent positive reinforcement (dopamine hit) and normalization of learning from mistakes helped to literally rewire the perception of agile from a threat to an opportunity.

Within two years, over 70% of product development teams had adopted agile practices, leading to a 30% reduction in time-to-market and a dramatic improvement in cross-functional collaboration. The success wasn’t just about new processes; it was about intelligently engaging the human brain.

The Path Forward: Leading with the Brain in Mind

Embracing disruption is no longer just a strategic imperative; it’s a profound challenge to our very biology. By consciously applying neuroscience-backed strategies, leaders can move beyond simply managing change to truly cultivating a human-centered culture of continuous adaptation and innovation. It’s about creating environments where the brain feels safe, empowered, and rewarded, allowing our incredible human capacity for creativity, collaboration, and resilience to truly flourish. The future, without a doubt, belongs to those who understand and leverage the brain on change.

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: Gemini

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Beyond ROI: Measuring the Human Impact of Innovation

Beyond ROI: Measuring the Human Impact of Innovation

GUEST POST from Chateau G Pato

My unwavering commitment is to innovation that genuinely serves humanity. In boardrooms and brainstorms, we often hear the relentless drumbeat of “ROI” — Return on Investment. While financially prudent, this narrow focus risks blinding us to the true, holistic value of our innovations. Today, I want to champion a broader, more profound metric: Beyond ROI: Measuring the Human Impact of Innovation.

The pursuit of innovation isn’t merely about optimizing profit margins or shaving off a few percentage points of cost. True, sustainable innovation transforms lives, empowers individuals, strengthens communities, and shapes a better future. When we prioritize only financial returns, we risk creating technologies and solutions that are technically brilliant but humanly deficient, failing to resonate or even causing unintended harm. Human-centered innovation demands that we look beyond the balance sheet to the profound effects our work has on people.

The Imperative of Human Impact Metrics

Why is this so crucial now? Because the complexity and pervasiveness of modern technology mean its impact—positive or negative—is amplified. An innovation designed solely for efficiency might inadvertently dehumanize work, erode trust, or create new forms of exclusion. Conversely, an innovation that deliberately targets human well-being can yield exponential societal benefits that far outweigh direct financial gains, often leading to unforeseen economic opportunities down the line.

Measuring human impact isn’t about being altruistic at the expense of business success; it’s about redefining what success truly means in the 21st century. It’s about building resilient, future-proof organizations that are deeply connected to the needs and aspirations of their users, employees, and the broader society. It requires a shift from:

  • Outputs to Outcomes: Not just what we produce, but what change we effect in people’s lives.
  • Transactions to Relationships: Valuing long-term engagement and trust over single sales.
  • Efficiency to Well-being: Recognizing that human flourishing is a powerful driver of productivity and creativity.
  • Quantitative to Qualitative (and Blended): Incorporating richer, narrative data alongside traditional numbers.

Case Study 1: Transforming Education – Beyond Test Scores with Personalized Learning Platforms

For decades, the success of educational innovation was often measured by improved test scores or reduced administrative overhead. While these are valid metrics, they often miss the deeper, human impact. Consider the introduction of personalized learning platforms in schools. Initially, ROI might focus on software licensing costs versus teacher salaries saved, or a slight uptick in standardized test performance.

However, the true innovation lies in its human impact. One ed-tech company, in partnership with a school district, shifted its focus to measuring student engagement, self-efficacy, and tailored learning pathways. They didn’t just track grades; they tracked:

  • Student Voice: Surveys and qualitative interviews about how students felt about their learning experience, their sense of progress, and their ability to get help when needed.
  • Teacher Empowerment: How the platform freed up teachers’ time from grading to focus on one-on-one mentorship, creative lesson planning, and addressing individual student needs.
  • Reduced Learning Anxiety: Tracking anecdotal evidence and student feedback on reduced stress levels and increased confidence due to self-paced learning and immediate feedback.
  • Parental Involvement: How accessible dashboards and communication tools fostered greater parent-teacher collaboration and understanding of student progress beyond just report cards.

Measuring Human Impact in Action: By moving beyond simply tracking test scores to understanding the experience of learning, the company and district uncovered profound benefits: students felt more motivated and less stressed, teachers felt more effective and engaged, and parents became more integrated partners in their children’s education. This “human ROI” led to higher student retention, greater teacher satisfaction, and ultimately, a more vibrant and effective learning environment, all of which indirectly contributed to the school’s long-term success and reputation in ways that pure financial metrics could never capture.

Case Study 2: Reimagining Urban Mobility – Enhancing Community Well-being with Smart City Solutions

Smart city innovations often promise economic efficiency, reduced congestion, and lower carbon footprints. While important, focusing solely on these can overlook critical human elements. Imagine a city implementing an AI-powered traffic management system. The initial ROI might be calculated in terms of reduced commute times and fuel consumption.

However, a forward-thinking urban planning initiative recognized the need to measure the human impact on community cohesion and accessibility. They implemented a smart mobility platform that went beyond just traffic flow, tracking metrics like:

  • Access to Essential Services: How effectively the new system connected residents, especially those in underserved areas, to healthcare, grocery stores, and job centers, measured by travel time and mode availability.
  • Social Interaction and Public Space Use: Qualitative and quantitative data on how easily people could access public parks, community centers, and local businesses, and whether reduced traffic noise improved the quality of public spaces.
  • Sense of Safety and Security: Resident surveys on their perception of safety while walking, cycling, or using public transport due to better lighting, integrated surveillance (with privacy safeguards), and optimized pedestrian flows.
  • Reduced Stress and Improved Mental Health: Anecdotal evidence and surveys capturing residents’ reported stress levels related to commuting and navigating the city.

Measuring Human Impact in Action: By measuring beyond simple efficiency—by actively seeking to understand how the smart mobility solution influenced people’s ability to access opportunities, connect with others, and feel safe in their environment—the city found unexpected dividends. Residents reported greater satisfaction with urban living, a stronger sense of community belonging, and even improved mental well-being due to less stressful commutes and superbly accessible public spaces. This human-centric approach solidified public support for further smart city initiatives and attracted new businesses and residents seeking a high quality of urban life, demonstrating that human well-being is a powerful, albeit indirect, driver of economic prosperity.

The Path Forward: Integrating Human-Centered Metrics

Integrating human impact metrics into our innovation processes is not a simple task. It requires:

  • Empathy-Driven Research: Deeply understanding user needs, pain points, and aspirations through qualitative research (interviews, ethnographic studies).
  • Clear Definitions: Defining what “human impact” means for your specific innovation and how it aligns with your organizational values.
  • Diverse Data Collection: Blending quantitative data (e.g., usage patterns, time saved) with qualitative insights (e.g., sentiment analysis, testimonials, observational data).
  • Long-Term Perspective: Recognizing that human impact often unfolds over time and requires sustained monitoring.
  • Collaborative Design: Involving users and affected communities in the design and evaluation process from the outset.
  • Ethical Review: Ensuring that the pursuit of impact doesn’t inadvertently lead to privacy breaches, data misuse, or other ethical compromises.

As human-centered change leaders, our greatest challenge—and our greatest opportunity—lies in expanding our definition of success. When we look beyond the immediate financial returns and actively measure the human impact of our innovations, we don’t just create better products or services. We create a better world. Let’s champion this broader vision, for it is in the true flourishing of humanity that the ultimate value of our innovation will be found.

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: Gemini

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The Narrative Advantage

How Storytelling Fuels Innovation Adoption

The Narrative Advantage

GUEST POST from Art Inteligencia

My work centers on understanding how human beings embrace and drive change. In this pursuit, I’ve consistently found that logic and data, while essential, often fall short of igniting true transformation. What truly captures hearts and minds, what bridges the gap between a novel idea and widespread adoption, is the power of story. Today, I want to explore The Narrative Advantage: How Storytelling Fuels Innovation Adoption.

We are wired for stories. From ancient cave paintings to modern-day blockbusters, narratives have been the primary vehicle for transmitting knowledge, building connections, and inspiring action. Innovation, at its core, represents a change from the familiar. To overcome the inherent resistance to the new, we must frame our innovations not just as solutions, but as compelling stories that resonate with human needs, desires, and aspirations.

Beyond Features and Benefits: The Emotional Connection

Too often, we launch innovations by focusing on technical specifications, features, and benefits. While this information is important, it primarily appeals to the rational mind. Adoption, however, is often an emotional decision. People need to see themselves within the innovation’s narrative, to understand how it will impact their lives, solve their problems, or fulfill their ambitions on a personal level.

Storytelling allows us to create this emotional connection. A well-crafted narrative can:

  • Build Empathy: By sharing stories of real people whose lives have been improved by the innovation, we foster empathy and make the abstract tangible.
  • Create Understanding: Complex technologies become more accessible and understandable when woven into a relatable narrative.
  • Inspire Action: Compelling stories can ignite passion and motivate individuals to embrace the new.
  • Foster Trust: Authentic and transparent storytelling builds trust in the innovation and the organization behind it.
  • Drive Advocacy: People who connect with an innovation’s story are more likely to become advocates, spreading the word and encouraging adoption.

Case Study 1: The Little Blue Elephant That Could – Democratizing Data with a Human Touch

Consider the challenge of introducing sophisticated data analytics tools to teams that have traditionally relied on intuition or basic spreadsheets. The technology might offer immense potential for improved decision-making and efficiency, but the learning curve and perceived complexity can be significant barriers to adoption.

One company I worked with faced this exact scenario. Their new data platform, while technically brilliant, was met with lukewarm reception. Teams felt overwhelmed by the dashboards and the sheer volume of information. That’s when we shifted our approach to emphasize storytelling.

Instead of bombarding teams with technical manuals, we developed a series of “day-in-the-life” stories featuring individuals from different departments. We created a fictional persona, “Eleanor the Analyst” (represented internally by a small blue elephant plush toy – a memorable visual anchor). Each story showcased Eleanor using the new platform to overcome a specific challenge her team faced – optimizing marketing campaigns, streamlining supply chain issues, or improving customer service.

These weren’t dry use cases; they were narratives with relatable characters, clear challenges, and triumphant resolutions, all made possible by the new data platform. We focused on the “how it felt” for Eleanor and her team – the sense of empowerment, the clarity gained, the time saved.

The Narrative Advantage in Action: By personifying the technology and illustrating its impact through engaging stories, we made the abstract concrete and the complex accessible. The little blue elephant became a symbol of data-driven success. Adoption rates soared as teams began to see themselves as the protagonist in similar success stories. The narrative shifted from “a complicated new tool we have to learn” to “a powerful ally that can help us achieve our goals.”

Case Study 2: The Silent Guardian – Building Trust in Autonomous Vehicles Through Transparent Storytelling

The advent of autonomous vehicles (AVs) presents a paradigm shift in transportation. The technology promises increased safety, efficiency, and accessibility. However, it also evokes anxieties related to trust, control, and the unknown. Overcoming this resistance is crucial for widespread adoption.

One leading AV developer understood that simply showcasing the technology’s capabilities wouldn’t be enough. They recognized the need to build a narrative of safety and reliability. Their approach centered on transparent storytelling that addressed public concerns head-on.

They created a series of short videos and blog posts that went behind the scenes of their rigorous testing processes. They featured the engineers and safety experts who were meticulously designing and validating the AV software and hardware. They shared stories of the countless simulations and real-world trials their vehicles underwent, highlighting the redundancies and fail-safe mechanisms built into the system.

Crucially, they also addressed potential failure scenarios openly and honestly, explaining how the AV system was designed to respond safely in unexpected situations. They didn’t shy away from the complexities but rather sought to demystify them through clear and accessible language.

The Narrative Advantage in Action: By telling the story of their meticulous development process, their commitment to safety, and their proactive approach to addressing potential risks, this AV developer built a narrative of trust and reliability. This transparency helped to alleviate public anxieties and fostered a greater sense of confidence in the technology. The narrative shifted from “a potentially dangerous robot car” to “a carefully engineered and rigorously tested silent guardian.”

Crafting Your Innovation Narrative

Developing a compelling innovation narrative requires more than just telling a story; it demands strategic thinking and a deep understanding of your audience. Consider these elements:

  • Identify Your Protagonist: Who is the hero of your story? Often, it’s the user whose problem is being solved or whose life is being improved.
  • Define the Challenge: What problem or pain point does your innovation address? Make it relatable and emotionally resonant.
  • Present Your Innovation as the Guide: How does your innovation help the protagonist overcome their challenge and achieve their goal?
  • Illustrate the Transformation: What does the “happily ever after” look like? How will the protagonist’s life or work be better because of your innovation?
  • Maintain Authenticity: Your story must be genuine and believable. Avoid hyperbole and focus on the real impact of your innovation.

In conclusion, in a world saturated with information, stories cut through the noise and forge meaningful connections. By harnessing the power of narrative, we can transform innovative ideas from abstract concepts into compelling realities that people understand, trust, and ultimately adopt. The narrative advantage isn’t a marketing afterthought; it’s the very foundation upon which successful innovation adoption is built. So, let us ask ourselves not just what our innovation does, but what story it tells. For it is in that story that we will find the key to unlocking widespread embrace and realizing the full potential of our creations.

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: Pexels

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Innovation with Integrity

Navigating the Ethical Minefield of New Technologies

Innovation with Integrity - Navigating the Ethical Minefield of New Technologies

GUEST POST from Chateau G Pato

My life’s work revolves around fostering innovation that truly serves humanity. We stand at a fascinating precipice, witnessing technological advancements that were once the stuff of science fiction rapidly becoming our reality. But with this incredible power comes a profound responsibility. Today, I want to delve into a critical aspect of this new era surrounding innovating with integrity.

The breakneck speed of progress often overshadows the ethical implications baked into these innovations. We become so enamored with the “can we?” that we forget to ask “should we?” This oversight is not just a moral failing; it’s a strategic blunder. Technologies built without a strong ethical compass risk alienating users, fostering mistrust, and ultimately hindering their widespread adoption and positive impact. Human-centered innovation demands that we place ethical considerations at the very heart of our design and development processes.

The Ethical Imperative in Technological Advancement

Think about it. Technology is not neutral. The algorithms we write, the data we collect, and the interfaces we design all carry inherent biases and values. If we are not consciously addressing these, we risk perpetuating and even amplifying existing societal inequalities. Innovation, at its best, should uplift and empower. Without a strong ethical framework, it can easily become a tool for division and harm.

This isn’t about stifling creativity or slowing progress. It’s about guiding it, ensuring that our ingenuity serves the greater good. It requires a shift in mindset, from simply maximizing efficiency or profit to considering the broader societal consequences of our creations. This means engaging in difficult conversations, fostering diverse perspectives within our innovation teams, and proactively seeking to understand the potential unintended consequences of our technologies.

Case Study 1: The Double-Edged Sword of Hyper-Personalization in Healthcare

The promise of personalized medicine is revolutionary. Imagine healthcare tailored precisely to your genetic makeup, lifestyle, and real-time health data. Artificial intelligence and sophisticated data analytics are making this increasingly possible. We can now develop highly targeted treatments, predict health risks with greater accuracy, and empower individuals to take more proactive control of their well-being.

However, this hyper-personalization also presents a significant ethical minefield. Consider a scenario where an AI algorithm analyzes a patient’s comprehensive health data and identifies a predisposition for a specific condition that, while not currently manifesting, carries a social stigma or potential for discrimination (e.g., a neurological disorder or a mental health condition).

The Ethical Dilemma: Should this information be proactively shared with the patient? While transparency is generally a good principle, premature or poorly communicated information could lead to anxiety, unwarranted medical interventions, or even discrimination by employers or insurance companies. Furthermore, who owns this data? How is it secured against breaches? What safeguards are in place to prevent biased algorithms from recommending different levels of care based on demographic factors embedded in the training data?

Human-Centered Ethical Innovation: A human-centered approach demands that we prioritize the patient’s well-being and autonomy above all else. This means:

  • Transparency and Control: Patients must have clear understanding and control over what data is being collected, how it’s being used, and with whom it might be shared.
  • Careful Communication: Predictive insights should be communicated with sensitivity and within a supportive clinical context, focusing on empowerment and preventative measures rather than creating fear.
  • Robust Data Security and Privacy: Ironclad measures must be in place to protect sensitive health information from unauthorized access and misuse.
  • Bias Mitigation: Continuous efforts are needed to identify and mitigate biases in algorithms to ensure equitable and fair healthcare recommendations for all.

In this case, innovation with integrity means not just developing the most powerful predictive algorithms, but also building ethical frameworks and safeguards that ensure these tools are used responsibly and in a way that truly benefits the individual without causing undue harm.

Case Study 2: The Algorithmic Gatekeepers of Opportunity in the Gig Economy

The rise of the gig economy, fueled by sophisticated platform technologies, has created new forms of work and flexibility for millions. Algorithms match individuals with tasks, evaluate their performance, and often determine their access to future opportunities and even their earnings. This algorithmic management offers efficiency and scalability, but it also raises serious ethical concerns.

Consider a ride-sharing platform that uses an algorithm to rate drivers based on various factors, some transparent (e.g., customer ratings) and some opaque (e.g., route efficiency, acceptance rates). Drivers with lower scores may be penalized with fewer ride requests or even deactivation from the platform, effectively impacting their livelihood.

The Ethical Dilemma: What happens when these algorithms contain hidden biases? For instance, if drivers who are less familiar with a city’s layout (potentially newer drivers or those from marginalized communities) are unfairly penalized for slightly longer routes? What recourse do drivers have when they believe an algorithmic decision is unfair or inaccurate? The lack of transparency and due process in many algorithmic management systems can lead to feelings of powerlessness and injustice.

Human-Centered Ethical Innovation: Innovation in the gig economy must prioritize fairness, transparency, and worker well-being:

  • Algorithmic Transparency: The key factors influencing algorithmic decisions that impact workers’ livelihoods should be clearly communicated and understandable.
  • Fair Evaluation Metrics: Performance metrics should be carefully designed to avoid unintentional biases and should genuinely reflect the quality of work.
  • Mechanisms for Appeal and Redress: Workers should have clear pathways to appeal algorithmic decisions they believe are unfair and have their concerns reviewed by human oversight.
  • Consideration of Worker Well-being: Platform design should go beyond simply matching supply and demand and consider the broader well-being of workers, including fair compensation, safety, and access to support.

In this context, innovating with integrity means designing platforms that not only optimize efficiency but also ensure fair treatment and opportunity for the individuals who power them. It requires recognizing the human impact of these algorithms and building in mechanisms for accountability and fairness.

Building an Ethical Innovation Ecosystem

Navigating the ethical minefield of new technologies requires a multi-faceted approach. It’s not just about creating a checklist of ethical considerations; it’s about fostering a culture of ethical awareness and responsibility throughout the innovation lifecycle. This includes:

  • Ethical Frameworks and Guidelines: Organizations need to develop clear ethical principles and guidelines that inform their technology development and deployment.
  • Diverse and Inclusive Teams: Bringing together individuals with diverse backgrounds and perspectives helps to identify and address potential ethical blind spots.
  • Proactive Ethical Impact Assessments: Before deploying new technologies, organizations should conduct thorough assessments of their potential ethical and societal impacts.
  • Continuous Monitoring and Evaluation: Ethical considerations should not be a one-time exercise. We need to continuously monitor the impact of our technologies and be prepared to adapt and adjust as needed.
  • Open Dialogue and Collaboration: Engaging in open discussions with stakeholders, including users, policymakers, and ethicists, is crucial for navigating complex ethical dilemmas.

Innovation with integrity is not a constraint; it’s a catalyst for building technologies that are not only powerful but also trustworthy and beneficial for all of humanity. By embracing this ethical imperative, we can ensure that the next wave of technological advancement truly leads to a more just, equitable, and sustainable future. Let us choose to innovate not just brilliantly, but also wisely.

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: Gemini

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You Can’t Innovate Without This One Thing

You Can't Innovate Without This One Thing

GUEST POST from Robyn Bolton

It just landed on your desk. Or maybe you campaigned to get it. Or perhaps you just started doing it. How the title of “Innovation Leader” got to your desk doesn’t matter nearly as much as the fact that it’s there, along with a budget and loads of expectations.

Of course, now that you have the title and the budget, you need a team to do the work and deliver the results.

Who should you look for? The people that perform well in the current business, with its processes, structures, and (relative) predictability, often struggle to navigate the constant uncertainty and change of innovation. But just because someone struggles in the process and structure of the core business doesn’t mean they’ll thrive creating something new.

What are the qualities that make someone a successful innovator?

70 answers

A lot of people have a lot to say about the qualities and characteristics that make someone an innovator. When you combine the first four Google search results for “characteristics of an innovator” with the five most common innovation talent assessments, you end up with a list of 70 different (and sometimes conflicting) traits.

The complete list is at the end of this article, but here are the characteristics that appeared more than once:

  1. Curious
  2. Persistent
  3. Continuously reflective
  4. Creative
  5. Driven
  6. Experiments
  7. Imaginative
  8. Passionate

It’s a good list, but remember, there are 62 other characteristics to consider. And that assumes that the list is exhaustive.

+1 Answer

It’s not. Something is missing.

There is one characteristic shared by every successful innovator I’ve worked with and every successful leader of innovation. It’s rarely the first (or second or third) word used to describe them, but eventually, it emerges, always said quietly, after great reflection and with dawning realization.

Vulnerability.

Whether you rolled your eyes or pumped your fist at the word made famous by Brene Brown, you’ve no doubt heard it and formed an opinion about it.

Vulnerability is the “quality or state of being exposed to the possibility of being attacked or harmed, either physically or emotionally.”  Without it, innovation is impossible.

Innovation requires the creation of something new that creates value. If something is new, some or all of it is unknown. If there are unknowns, there are risks. Where there are risks, there is the possibility of being wrong, which opens you up to attack or harm.

When you talk to people to understand their needs, vulnerability allows you to hear what they say (versus what you want them to say).

In brainstorming sessions, vulnerability enables you to speak up and suggest an idea for people to respond to, build on, or discard.

When you run experiments, vulnerability ensures that you accurately record and report the data, even if the results aren’t what you hoped.

Most importantly, as a leader, vulnerability inspires trust, motivates your team, engages your stakeholders, and creates the environment and culture required to explore, learn, and innovate continuously.

n + 1 is the answer

Just as you do for every job in your company, recruit the people with the skills required to do the work and the mindset and personality to succeed in your business’ context and culture.

Once you find them, make sure they’re willing to be vulnerable and support and celebrate others’ vulnerability. Then, and only then, will you be the innovators your company needs.


Here’s the full list of characteristics:

  1. Action-oriented, gets the job done
  2. Adaptable
  3. Ambitious
  4. Analytical, high information capacity, digs through facts
  5. Associative Thinker, makes uncommon connections
  6. Breaks Boundaries, disruptive
  7. Business minded
  8. Collaborative
  9. Compelling Leader
  10. Competitive
  11. Consistent
  12. Continuously reflects (x3)
  13. Courageous
  14. Creative (x3)
  15. Curious (x4), asks questions, inquisitive, investigates
  16. Delivers results, seeks tangible outcomes
  17. Disciplined
  18. Divergent Thinker
  19. Driven (x3)
  20. Energetic
  21. Experiments (x2)
  22. Financially oriented
  23. Flexible, fluid
  24. Formally educated and trained
  25. Futuristic
  26. Giving, works to benefit others, wants to make the world better
  27. Goal-oriented
  28. Has a Growth mindset
  29. Highly confident
  30. Honest
  31. Imaginative (x2)
  32. Influential, lots of social capital
  33. Instinctual
  34. Intense
  35. Iterating between abstract and concrete thinking
  36. Learns through experiences
  37. Likes originality, seeks novelty
  38. Loyal
  39. Motivated by change, open to new experiences
  40. Networks, relates well to others
  41. Observes
  42. Opportunistic mindset, recognizes opportunities
  43. Opportunity focused
  44. Passionate (x2)
  45. Patient
  46. Persistent (x4)
  47. Persuasive
  48. Playful
  49. Pragmatic
  50. Proactive
  51. Prudent
  52. Rapidly recognizes patterns
  53. Resilient
  54. Resourceful
  55. Respects other innovators
  56. Seeks understanding
  57. Self-confident
  58. Socially intelligent
  59. Stamina
  60. Takes initiative
  61. Takes risks
  62. Team-oriented
  63. Thinks big picture
  64. Thrives in uncertainty
  65. Tough
  66. Tweaks solutions constantly
  67. Unattached exploration
  68. Visionary
  69. Wants to get things right
  70. Willing to Destroy

And the sources:

Image Credit: Pixabay

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Human-Centered Innovation

Leading with Empathy and Purpose

Human-Centered Innovation

GUEST POST from Art Inteligencia

We are living in an era of accelerated disruption, where agility, adaptability, and authenticity are vital. Organizations that thrive are those that place human beings — their needs, values, and experiences — at the center of their innovation efforts. Human-centered innovation is not a one-time initiative; it’s a leadership philosophy and cultural mindset. It combines empathy, purpose, and co-creation to solve the right problems and deliver sustainable impact.

The Mindset Shift: From Product-First to People-First

Historically, innovation has often been driven by technical feasibility and operational efficiency. While important, these elements alone rarely produce breakthrough outcomes. Human-centered innovation flips the script — starting not with the solution, but with the people experiencing the problem. This mindset demands curiosity, humility, and a deep commitment to designing with — not just for — stakeholders.

Case Study 1: Mayo Clinic’s Center for Innovation

Challenge:

Mayo Clinic wanted to elevate the patient experience and align care delivery more closely with patient needs and expectations.

Approach:

They established the Center for Innovation to embed human-centered design principles into their healthcare system. Teams of clinicians, designers, and technologists collaborated directly with patients to map pain points and ideate solutions. The focus wasn’t just on what could be improved, but what should be improved from the patient’s perspective.

Outcome:

Through co-creation, Mayo Clinic redesigned waiting areas, streamlined appointment systems, and introduced more transparent communication tools. These changes improved patient satisfaction, reduced stress, and fostered stronger doctor-patient relationships — while also enhancing care team productivity and morale.

Principles of Human-Centered Innovation

  1. Empathy-Driven Discovery: Immerse yourself in users’ contexts through ethnographic research, journey mapping, and storytelling.
  2. Inclusive Co-Creation: Involve diverse stakeholders — especially those directly impacted — throughout the innovation process.
  3. Rapid Iteration: Prototype early, test frequently, and learn fast to ensure solutions are viable, feasible, and desirable.
  4. Systemic Thinking: Understand the interdependencies within the ecosystem to design scalable, sustainable solutions.
  5. Purpose-Led Transformation: Align innovation efforts with the organization’s mission and societal impact goals.

Case Study 2: IBM’s Enterprise Design Thinking

Challenge:

IBM needed to reinvigorate its innovation practices to better align product development with evolving customer expectations.

Approach:

They launched Enterprise Design Thinking — a framework designed to embed empathy and agility across the enterprise. Cross-functional teams, including sponsor users, collaborated in iterative cycles of alignment, ideation, and feedback. Tools like Hills (clear problem statements) and Playbacks (structured feedback loops) ensured consistent engagement and learning.

Outcome:

Projects accelerated dramatically, reducing time-to-market by over 50%. User satisfaction scores rose as products better reflected actual needs. Internally, the initiative boosted employee engagement, cross-team collaboration, and a shared innovation language across the organization.

Embedding Human-Centered Change

Innovation isn’t just about ideas — it’s about people driving meaningful change. Leaders must create the conditions for empathy and experimentation to flourish. This means fostering psychological safety, celebrating curiosity, and removing friction from collaboration. Human-centered innovation becomes sustainable when it’s woven into leadership behaviors, reward systems, and strategic priorities.

Ultimately, innovation rooted in human need unlocks greater loyalty, differentiation, and relevance. It ensures we are solving the right problems — not just building faster solutions. And in a world demanding more inclusive, equitable, and regenerative approaches, human-centered design isn’t just an advantage. It’s a responsibility.

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: Pexels

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