Category Archives: Innovation

What is Quantitative Research?

What is Quantitative Research?

GUEST POST from Art Inteligencia

Quantitative research is a type of research that focuses on the collection and analysis of numerical data. It is used to assess relationships between variables, measure changes over time, and develop predictive models. Quantitative research is often used to generate statistically significant results, which can help inform decisions and guide strategies for businesses, organizations, and governments.

Quantitative research typically involves collecting large amounts of data from a variety of sources and then analyzing it using tools such as surveys, interviews, focus groups, and experiments. The data is then analyzed using statistical methods to measure relationships between variables and assess trends.

Quantitative research is often used to answer questions such as “What is the average age of customers in my store?” or “What percentage of my customers are female?” It can also be used to measure the effectiveness of marketing campaigns or to predict the success of a new product.

Quantitative research is an invaluable tool for understanding and predicting human behavior. By collecting and analyzing large amounts of data, researchers can gain insights into trends and relationships that would otherwise remain hidden. The results of quantitative research can help organizations make better decisions and develop more effective strategies.

Image credit: Pixabay

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8 Design Thinking Flaws and How to Fix Them

8 Design Thinking Flaws and How to Fix Them

by Braden Kelley and Adam Radziszewski

Design Thinking attempts to extract the mindset of a designer, an artist, a creator, or even a child into a series of steps that can be applied to any discipline (even business or politics) to solve human-centered problems. Its steps are so logical that we can’t imagine anyone opposing them.

  • Why wouldn’t you speak with customers and observe them?
  • Why wouldn’t you collect diverse perspectives and research before choosing a problem to solve?
  • Why wouldn’t you come up with lots of ideas, prototype the most promising and test those prototypes?
  • If you’re selling to people, to humans, why wouldn’t you use a human-centric approach?

Because people can quickly understand the power (or promise) of Design Thinking, companies, consultants, and universities have latched on to the methodology and quickly accelerated it to the top of the hype curve. This has created a lot of problems for both expert Design Thinking practitioners and for the methodology itself.

So, let’s look at eight Design Thinking flaws and how to fix them:

Click here to continue reading on CustomerThink.com


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7 Steps to Building Stronger Sales Relationships with Human-Centric Problem Solving

7 Steps to Building Stronger Sales Relationships with Human-Centric Problem Solving

by Braden Kelley and Adam Radziszewski

Building strong sales relationships is all about trust and demonstrating how the product/solution will make the customer’s life better. But is traditional selling getting you where you want to go?

If you’re looking to close more business and feeling stuck, try injecting some human-centric problem solving into your sales process.

What is human-centric problem solving?

Human-centric problem solving goes beyond what people say they do. Instead, it looks for what people actually do.

The approach helps you investigate the distinctly human elements that go beyond what sales tools can tell you about a prospect. It can also help you discover the true problem worth solving for the prospect.

Sometimes, you’ll even find a new problem the customer doesn’t even know they have.

Click here to continue reading on Sales Hacker


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25 Free Futures Research and Futurology Resources

25 Free Futures Research and Futurology Resources

GUEST POST from Art Inteligencia

One of the biggest barriers to getting started in futurology or futures research is knowing where to go to find information to educate and inform oneself about some of the basics of becoming a futurist and for raw materials to use in support of your first future studies or futurology efforts.

To help with that I have compiled a list of twenty-five resources to get you started in addition to this web site and Braden Kelley’s very excellent FutureHacking™ tools. So, without further delay, here is the list:

1. The Institute for the Future:

https://www.iftf.org/ – The Institute for the Future is a research organization that is focused on understanding emerging trends and long-term changes in the world.

2. The World Future Society

https://www.wfs.org/ – The World Future Society is a global network that works to explore and shape the future.

3. The Millennium Project

http://www.millennium-project.org/ – The Millennium Project is an independent global think tank that works to create a vision and action plan for a better future.

4. The Foresight Institute

https://www.foresight.org/ – The Foresight Institute is an organization that seeks to promote the responsible development of nanotechnology and other emerging technologies.

5. The Institute for New Economic Thinking

https://www.ineteconomics.org/ – The Institute for New Economic Thinking is a global think tank that works to promote critical economic analysis and new economic models.

6. The Hub of Futurism

https://www.hubof-futurism.com/ – The Hub of Futurism is a platform that brings together and connects futurists, thinkers, and innovators.

7. The Center for Science and the Imagination

https://scifi.asu.edu/ – The Center for Science and the Imagination is a research center dedicated to exploring the intersection of science and culture.

8. The Future of Life Institute

https://futureoflife.org/ – The Future of Life Institute is a research center that works to study, protect, and promote the future of life on Earth.

9. The Futurist Magazine

https://www.wfs.org/futurist – A magazine published by the World Future Society that features articles on technological, social, and economic changes and their implications on the future.

10. IEEE Spectrum

https://spectrum.ieee.org/ – A magazine published by the Institute of Electrical and Electronics Engineers that covers the technological advances and their effects on the future.

11. Singularity Hub

https://singularityhub.com/ – A website featuring articles on topics related to artificial intelligence, robotics, biotechnology, nanotechnology and their implications for the future.

12. Futurism

https://futurism.com/ – A website featuring news and opinion pieces about developments in science, technology, and the future.

13. The Futurist Podcast

https://thefuturistpodcast.com/ – A podcast featuring interviews with leading experts and thought leaders on topics related to the future.

14. The Institute for the Future

https://www.iftf.org/ – A research organization that provides resources and research on the future of technology, work, and society.

15. World Economic Forum

https://www.weforum.org/ – A platform featuring reports and discussions on topics related to the global economy and the future of work.

16. The Long Now Foundation

https://longnow.org/ – A foundation providing resources about long-term thinking and decision making for the future.

17. The Technology Review

https://www.technologyreview.com/ – A website featuring news and opinion pieces about emerging technologies and their implications for the future.

18. The Future of Life Institute

https://futureoflife.org/ – A research institute providing resources and research on the implications of emerging technologies on the future.

19. Futurism.com

https://futurism.com/ – A website dedicated to exploring the world of technological advances and the future of humanity.

20. Futurum Research

https://futurumresearch.com/ – An independent research firm that provides insights, analysis, and forecasts about the future of business and technology.

21. The Futures Agency

https://www.thefuturesagency.com/ – A consultancy dedicated to helping organizations, leaders, and individuals identify and prepare for the future.

22. Future of Life Institute

https://futureoflife.org/ – A research and outreach organization dedicated to exploring the potential of artificial intelligence and its implications for the future of humanity.

23. Long Now Foundation

https://longnow.org/ – A nonprofit organization that works to inspire long-term thinking and foster responsibility in the framework of the next 10,000 years.

24. Center for the Study of the Drone

https://dronecenter.bard.edu/ – A research center that provides analysis, education, and policy advice on the use of unmanned aerial systems (drones).

25. Massive Change Network

https://massivechangenetwork.org/ – An international network of organizations, cities, and individuals working to create a more sustainable and equitable world.

This is of course not an exhaustive list of all the futurology and futures research resources out there, but it is a good start to supplement all of the futurology articles here on this website.

Bottom line: Futurology and prescience are 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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Top 5 Innovation Movies According to Artificial Intelligence

Top 5 Innovation Movies According to Artificial Intelligence

GUEST POST from Art Inteligencia

In recent years, filmmakers have explored the concept of innovation and its impact on the world in a variety of ways. From biopics about trailblazing inventors to stories about the consequences of technological progress, these movies have not only entertained audiences, but also provided thought-provoking insights into the world of innovation. Here are our top 5 innovation movies that will leave you feeling inspired.

1. The Social Network (2010)

This biopic chronicles the rise of Mark Zuckerberg, the co-founder of Facebook and one of the most successful entrepreneurs of our time. The movie paints a vivid picture of the challenges and successes of an ambitious young innovator who changed the way people interact with each other.

2. The Imitation Game (2014)

This biopic focuses on the life of Alan Turing, the British mathematician who was instrumental in cracking the Nazi Enigma code during World War II. The movie explores the power of innovation and its potential to save lives and shape our future.

3. Moneyball (2011)

This movie tells the story of Oakland A’s general manager Billy Beane, who revolutionized baseball by employing advanced analysis to build a winning team on a tight budget. This movie is a wonderful example of how innovation can be applied to any field to improve performance.

4. Hidden Figures (2016)

This biopic tells the inspiring story of three African-American women mathematicians who played a crucial role in the successful launch of the first US space mission. The movie highlights the importance of diversity and the power of innovation to break down barriers.

5. The Man in the White Suit (1951)

This classic comedy stars Alec Guinness as a young inventor who develops a revolutionary fabric that never gets dirty or wears out. The movie explores the power of innovation and how it can disrupt entire industries.

Conclusion

Each of these movies provides a unique perspective on innovation and its power to change the world. They are sure to leave you feeling inspired to pursue your own innovative ideas.

Personally, I was surprised to see ‘The Man in the White Suit’ on the list, and not my favorite ‘Chitty Chitty Bang Bang’, so I guess I will have to see if Netflix or Prime Video has this movie from the fifties. It sounds intriguing.

Another favorite of mine is ‘Flash of Genius’, a movie about the inventor of intermittent wipers and his painful fight against the patent infringement of the major car companies.

Image credit: Pixabay

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Building a Gig-Innovation Model

Leveraging the External Talent Cloud

LAST UPDATED: November 21, 2025 at 9:32AM

Building a Gig-Innovation Model

GUEST POST from Chateau G Pato

The traditional model of innovation — locked within the four walls of the corporate R&D lab or internal project team — is no longer sufficient for navigating today’s complex, rapidly evolving landscape. In an era defined by accelerating technological shifts, diverse customer demands, and intense global competition, organizations cannot afford to limit their intellectual firepower to their fixed headcount. Instead, they must strategically tap into the vast, specialized skills, fresh perspectives, and scalable capacity residing in the External Talent Cloud. This is the essence of building a robust Gig-Innovation Model.

For the human-centered change leader, this isn’t about simply outsourcing tasks or replacing core employees; it’s about intelligently augmenting internal teams with precision-targeted external expertise, on-demand. The smartest organizations are those that can fluidly and ethically assemble the absolute best talent for any given innovation challenge, regardless of whether that talent is on the payroll or part of the global freelance ecosystem. This model unlocks unprecedented agility, cost-efficiency, and a breadth of expertise that no single enterprise could ever hope to maintain internally.

Embracing the Gig-Innovation Model is not just a trend; it’s a strategic imperative for organizations aiming to stay relevant, accelerate their pace of innovation, embed continuous change capabilities, and ultimately, thrive in the future.

The Limitations of Internal-Only Innovation

Relying solely on internal teams for innovation, while valuable for core competencies, presents several critical limitations that can hinder growth and agility:

  • Persistent Skill Gaps: Rapidly evolving fields (e.g., advanced AI ethics, quantum computing, specialized biotech applications) often require highly niche skills that are too expensive, too difficult, or too transient to hire and retain full-time.
  • Inherent Cognitive Bias: Internal teams, however brilliant and well-intentioned, can suffer from organizational groupthink, entrenched paradigms, and a lack of truly fresh, outside perspective, often leading to incremental rather than disruptive ideas.
  • Scalability Challenges: Spiky or short-term innovation demands (e.g., a rapid proof-of-concept sprint for a new product, a deep dive into an emerging market segment) are difficult to staff efficiently with fixed internal resources without overworking teams or sacrificing other strategic priorities.
  • Cost Inflexibility: Maintaining a large, diverse internal innovation team comes with significant fixed overhead (salaries, benefits, infrastructure), regardless of current project load or strategic focus, limiting dynamic resource allocation.

The Gig-Innovation Model directly addresses these by providing flexible, on-demand access to a diverse, global talent pool.

Key Characteristics of a Robust Gig-Innovation Model

Successfully integrating external talent into your innovation pipeline requires intentional design, clear processes, and a human-centered cultural shift:

  • Clear Project Scoping & Modularity: Precisely defining innovation challenges into discrete, modular projects or work packages with clear deliverables, measurable outcomes, and acceptance criteria suitable for external contribution.
  • Curated Talent Cloud & Platform Strategy: Proactively building relationships with reputable freelance platforms, specialized agencies, and individual experts, thereby creating a trusted, accessible network for specific, high-demand skill sets (e.g., UI/UX design, data science, specific market research, advanced engineering).
  • Seamless On-boarding & Integration: Establishing efficient, digitally-enabled processes for on-boarding external talent, including secure system access, clear cultural integration into project teams, and robust communication channels from day one.
  • Hybrid Team Leadership & Enablement: Training internal leaders to effectively manage and integrate hybrid teams, fostering psychological safety, promoting equitable collaboration between full-time employees and external contributors, and recognizing diverse contributions.
  • Robust Intellectual Property (IP) Management: Implementing clear, legally sound frameworks and explicit agreements to protect company IP, ensure confidentiality, and fairly compensate external innovators for their contributions.
  • Performance & Relationship Management: Developing systems for tracking external talent performance, providing constructive feedback, and proactively nurturing long-term relationships with high-performing individuals for future engagements, creating a loyal extended network.

Key Benefits of the Gig-Innovation Model

Embracing the external talent cloud delivers tangible benefits that significantly accelerate innovation and strengthen overall organizational resilience and adaptability:

  • Enhanced Agility & Speed: Rapidly assemble expert teams for time-sensitive projects or urgent strategic pivots, dramatically accelerating time-to-market for new products, services, or internal solutions.
  • Access to Niche & Frontier Expertise: Tap into highly specialized, cutting-edge skills (e.g., specific regulatory knowledge for emerging markets, advanced quantum computing algorithms) that are often unavailable or cost-prohibitive to hire internally on a permanent basis.
  • Diverse Perspectives & De-biased Thinking: Introduce fresh, unbiased thinking, cross-industry insights, and global perspectives that challenge internal assumptions and foster truly disruptive, rather than merely incremental, innovation.
  • Cost Optimization & Flexibility: Convert fixed labor costs into flexible, variable project-based expenses, allowing for more dynamic budget allocation and resource deployment across innovation initiatives.
  • Risk Mitigation & Experimentation: Test new market ideas, technological concepts, or business models with lower initial investment by leveraging external talent for discrete proofs-of-concept or pilot projects.
  • Internal Up-skilling & Knowledge Transfer: Internal teams gain new skills, knowledge, and best practices by collaborating directly with external experts, fostering continuous learning and capability building across the organization.

Case Study 1: The Automotive OEM and the Autonomous Future

Challenge: Accelerating Autonomous Driving Software Development

A major automotive OEM was falling behind competitors in autonomous driving software development. Their internal R&D team possessed deep automotive engineering expertise but lacked the cutting-edge AI and machine learning specialists needed to accelerate their vision for self-driving vehicles. Hiring these specialists full-time proved difficult due to high demand and fierce competition from tech giants.

Gig-Innovation Intervention:

The OEM strategically established a dedicated “Innovation Guild” comprising both internal engineers and a carefully curated network of external freelance AI/ML experts sourced through specialized platforms. They meticulously broke down their complex autonomous driving software into modular components (e.g., perception algorithms, sensor fusion, predictive modeling) that could be worked on by hybrid teams. Internal project managers were rigorously trained in Hybrid Team Leadership, focusing on agile methodologies, transparent communication, and ensuring psychological safety and equitable contribution from both internal and external members. Robust IP Management protocols were established from the outset.

The Human-Centered Lesson:

This Gig-Innovation Model allowed the OEM to access top-tier AI talent globally, without the significant overhead and hiring challenges of full-time recruitment. The external experts brought fresh methodologies and accelerated development timelines. Crucially, the internal engineers gained invaluable hands-on experience and facilitated knowledge transfer, significantly up-skilling them for the future. The OEM significantly accelerated its software development roadmap, reducing its projected time-to-market for advanced autonomous features by 18 months, demonstrating how targeted external talent can fill critical gaps and drive innovation faster and more effectively.

Case Study 2: The Consumer Goods Giant and Sustainable Packaging

Challenge: Disruptive Sustainable Packaging Solutions

A global consumer goods giant was committed to ambitious sustainability goals, particularly in eliminating single-use plastics from its product lines. Their internal packaging R&D team, while competent in traditional materials, lacked deep expertise in niche areas like bioplastics from algae, advanced composite materials, or circular economy design principles at scale. They urgently needed truly disruptive, rather than merely incremental, solutions.

Gig-Innovation Intervention:

The company launched an open innovation challenge, leveraging a global crowdsourcing platform to tap into a diverse ecosystem of material scientists, industrial designers, and sustainability strategists worldwide. This involved meticulous Clear Project Scoping, breaking down the overarching challenge into specific, solvable problems. They offered competitive bounties and long-term retainer contracts for the best solutions and talent. Internal core teams worked collaboratively alongside external experts in focused sprints, with clear Seamless On-boarding & Integration processes for winning contributors to join short-term projects. They eventually formed a permanent “Sustainable Solutions Hub” led by an internal core team but primarily staffed by external experts on a flexible, project-by-project basis, constantly curating the talent cloud.

The Human-Centered Lesson:

This model provided unprecedented access to diverse, cutting-edge knowledge and a global network of innovators. It allowed the company to rapidly prototype and test materials and designs that their internal team alone could not have conceived. The external perspective challenged internal biases about manufacturability and cost, pushing for truly radical solutions. Within a year, they identified three promising bioplastic innovations and two circular design concepts, significantly accelerating their sustainability roadmap and establishing themselves as a leader in eco-friendly packaging, all by embracing external ingenuity on demand as a core part of their innovation strategy.

Building Your Gig-Innovation Future: A Human-Centered Approach

The Gig-Innovation Model is not just a tactical staffing solution; it’s a strategic framework for future-proofing your organization. It requires a fundamental shift in mindset: from simply owning all resources to intelligently accessing and integrating the best global resources. It demands a culture of trust, transparency, and a genuine valuing of diverse contributions, regardless of employment status.

Start by identifying your organization’s most critical innovation bottlenecks or strategic areas where fresh, external perspective is desperately needed. Pilot a small, clearly scoped project with external talent, focusing intently on fostering trust, ensuring clear communication, and achieving seamless integration between internal and external contributors. By doing so, you’ll transform your organization from a closed system to an open, dynamic, and resilient innovation ecosystem, poised to adapt and thrive in any future.

“The walls of your innovation lab are only as high as your imagination. Break them down with the External Talent Cloud to truly unleash human-centered innovation.”

Your first step towards building a Gig-Innovation Model: Identify a specific, non-core innovation challenge or a complex research question that your internal team has been struggling with or has limited time to address. Instead of immediately assigning it internally, clearly define the precise deliverable and the specific expertise required. Then, research and identify two different external talent platforms or individual freelancers specializing in that exact niche. Compare their capabilities and propose a small, well-defined pilot project to leverage this external expertise, focusing on how it will bring a truly new perspective or a specialized skill set that your internal team currently lacks. Document the expected learning for your internal team.

Frequently Asked Questions About the Gig-Innovation Model

1. What is the Gig-Innovation Model?

The Gig-Innovation Model is a strategic framework where an organization augments its internal teams by fluidly and ethically accessing specialized, on-demand external talent (freelancers, consultants, experts) from the global gig ecosystem to drive innovation. It focuses on filling niche skill gaps and bringing fresh, unbiased perspectives to complex challenges.

2. How does using external talent improve the quality of innovation?

External talent introduces diverse, cross-industry expertise and challenges the organization’s inherent cognitive biases (groupthink). This leads to the formulation of truly disruptive ideas, wider opportunity mapping, and solutions that are more resilient because they are pressure-tested by outside perspectives.

3. What is the biggest challenge in adopting this model?

The biggest challenge is cultural and operational: training internal leaders in **Hybrid Team Leadership** and establishing robust, clear processes for **Seamless Onboarding & Integration**. Successful adoption requires prioritizing trust and psychological safety to ensure fair and effective collaboration between full-time employees and external contributors.


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: Pexels

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Why Qualitative Data is the Soul of Innovation

Beyond the Dashboard

LAST UPDATED: November 16, 2025 at 09:36PM

Why Qualitative Data is the Soul of Innovation

GUEST POST from Chateau G Pato

In today’s business landscape, “data-driven” has become the mantra. We are awash in dashboards, metrics, KPIs, and algorithms, all designed to give us a clear, quantifiable picture of performance. And rightly so—quantitative data is essential for measuring results, optimizing processes, and identifying trends. But what if I told you that in our relentless pursuit of the “what,” we are often missing the much more powerful “why”?

The truth is, true innovation—the kind that creates new markets, delights customers in unexpected ways, and genuinely changes human behavior—rarely springs from a spreadsheet. It emerges from deep empathy, nuanced understanding, and the ability to connect seemingly disparate observations. This is the domain of qualitative data. It’s the soul of innovation, breathing life into the numbers and revealing the human stories behind the trends.

For human-centered change leaders, mastering the art of qualitative inquiry isn’t just a research technique; it’s a foundational leadership skill. It’s about listening more deeply, observing more keenly, and seeking the unspoken needs that dashboards simply cannot illuminate.

What is Qualitative Data?

Qualitative data describes qualities or characteristics. It is collected through methods that explore underlying reasons, opinions, and motivations, providing insights into the “why” and “how” of phenomena. Unlike quantitative data, which focuses on numbers and statistics, qualitative data deals with words, meanings, interpretations, and experiences.

Key Characteristics of Qualitative Data

To truly appreciate its power, understanding the fundamental characteristics of qualitative data is essential:

  • Exploratory: It seeks to understand concepts, opinions, or experiences rather than to measure them.
  • Contextual: It provides rich, in-depth understanding of a situation, problem, or human experience within its natural setting.
  • Interpretive: It relies heavily on the researcher’s interpretation of observations and conversations, seeking patterns and meanings.
  • Non-numerical: Its focus is on descriptions, narratives, and meanings, rather than statistical analysis.
  • Emergent: Key themes, hypotheses, and insights often surface organically during the data collection and analysis process, rather than being pre-defined.

Key Benefits for Innovation

Embracing qualitative data moves innovation from a mechanistic process to a deeply human one, unlocking several crucial benefits:

  • Uncovering Unmet Needs: It reveals pain points, desires, and behaviors that customers can’t articulate or that quantitative data masks. This is where breakthrough ideas truly lie, often in the subtle nuances.
  • Deep Empathy: Direct observation and conversation build a profound understanding of users’ lives, motivations, and emotional drivers, which is critical for designing truly human-centered solutions.
  • Contextual Understanding: It explains why a dashboard metric is fluctuating, or how a process is actually being used (or circumvented) in real-world scenarios, providing the “story behind the numbers.”
  • Idea Generation & Validation: Qualitative insights fuel powerful ideation, providing concrete human problems to solve, and then allow for rapid, iterative validation of concepts with real users.
  • Sense-Making in Complexity: In complex, ambiguous situations, qualitative data helps make sense of divergent perspectives and synthesize them into coherent pathways forward, offering clarity amidst chaos.
  • Building Organizational Stories: Human stories gleaned from qualitative research are far more powerful for galvanizing teams and stakeholders around a shared vision than charts and graphs alone, fostering engagement and buy-in.

Case Study 1: Re-imagining the Commute Experience

Challenge: Stagnant Public Transportation Ridership

A metropolitan transit authority was seeing stagnant ridership despite investments in new train cars and minor schedule adjustments. Their dashboards showed ridership numbers, peak times, and route popularity, but offered no insights into why people chose not to ride or why existing riders were sometimes dissatisfied.

Qualitative Intervention:

Instead of relying solely on quantitative surveys, the authority deployed ethnographic researchers. They rode trains and buses, interviewed commuters during their journeys, observed behavior at stations, and conducted in-home interviews about daily routines. They specifically looked for “un-articulated needs” and “workarounds.”

The Human-Centered Lesson:

What emerged was fascinating. Dashboards highlighted efficiency, but qualitative research revealed an emotional dimension: stress. Commuters felt a profound lack of control, from unpredictable delays to confusing information displays, to the anxiety of missing connections. One key insight: many commuters loved their “third space” (headphones, reading) but hated interruptions. This led to innovations like clearer real-time digital signage inside the cars, predictive arrival times on personal apps, and even small, quiet zones. These changes weren’t about speed, but about alleviating stress and increasing a sense of control and predictability—factors the numbers alone never revealed. Ridership subsequently increased, driven by an improved “emotional experience” rather than just functional efficiency.

Case Study 2: Understanding Small Business Lending Friction

Challenge: Low Adoption of Digital Lending Platform

A large bank launched a sophisticated new digital platform for small business loans, expecting high adoption. While dashboards showed a few initial users, conversion rates were low, and traditional loan applications still dominated. The quantitative data only indicated a problem, not its root cause.

Qualitative Intervention:

The bank’s innovation team conducted in-depth interviews with small business owners, observed them attempting to navigate the new platform, and even shadowed them during their busy workdays. They engaged in “contextual inquiry” to understand their daily challenges beyond just financial needs.

The Human-Centered Lesson:

The qualitative insights were striking. The digital platform was designed with a “big business” mindset, asking for detailed projections and complex financial statements that many small business owners, especially sole proprietors or new ventures, didn’t have readily available or structured in that format. They weren’t “digital averse”; they were “complexity averse” and “time-poor.” The qualitative research revealed their deep fear of making a mistake, of being judged, and the overwhelming feeling of paperwork. The solution wasn’t just to simplify the platform, but to introduce a human element: a “digital concierge” chatbot backed by human support, designed to guide them through the process in plain language, pre-populate forms with existing bank data, and reassure them at each step. This blended approach addressed the human anxiety, leading to a significant increase in digital platform adoption, proving that even a digital solution needs a human touch based on qualitative understanding.

Beyond Metrics: Cultivating a Qualitative Mindset

Integrating qualitative data means cultivating a new mindset within your organization. It means valuing stories as much as statistics, curiosity as much as certainty, and empathy as much as efficiency. It requires leaders to:

  • Get Out of the Office: Actively seek opportunities to spend time with customers, employees, and partners in their natural environments.
  • Ask “Why” (Five Times): Don’t settle for surface-level answers. Probe deeper to uncover root causes and underlying motivations.
  • Practice Active Listening: Hear not just words, but emotions, hesitations, and unspoken needs. Truly listen to understand, not just to respond.
  • Embrace Ambiguity: Qualitative data is messy; it doesn’t fit neatly into charts, but that’s precisely where the richest, most transformative insights reside. Be comfortable with uncertainty as you explore.

Dashboards show us the health of the body, but qualitative data reveals the beating heart and the dreams within the mind. To truly innovate in a human-centered way, we must look beyond the quantifiable surface and connect with the profound, often unstated, human truths that qualitative inquiry uncovers.

“Numbers tell us how many people clicked. Stories tell us why they might click next time.”

Your first step towards qualitative insight: Identify one critical customer journey or internal employee process that is currently under-performing or causing frustration. Instead of immediately diving into metrics, schedule five 30-minute, open-ended conversations with individuals who experience that journey or process daily. Ask them to describe their biggest challenges, unexpected moments, and what they secretly wish could be different. Just listen, without judgment or interruption, and take diligent notes. The insights you gain will be invaluable.

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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The Venture Client Model

Bringing the Outside In for Internal Disruption

LAST UPDATED: November 13, 2025 at 1:23PM
The Venture Client Model

GUEST POST from Chateau G Pato

For decades, large corporations have wrestled with a critical innovation problem: how to access the speed and agility of the startup ecosystem without choking it with bureaucracy or overpaying through premature acquisition. Corporate Venture Capital (CVC) offered a financial window, but often failed to translate investment into operational change. The solution is not more capital; it’s a new engagement model built on a human-centered relationship: the Venture Client Model.

The Venture Client Model transforms the relationship between the corporation and the startup. Instead of acting as a passive investor, the large company acts as a first, paying client — a crucial lighthouse customer. The startup receives a contract (not just equity) and the opportunity to pilot its technology within a real, complex industrial environment. The corporation, in turn, gains early, de-risked access to disruptive solutions and the ability to test future technologies for internal applications.

This model is inherently human-centered because it focuses on solving real, internal pain points with external ingenuity, forcing a necessary friction between established internal process and external disruptive speed. It moves innovation from the periphery of financial investment directly into the core of operational value creation, where change truly impacts the customer and the bottom line.

The Three Pillars of the Venture Client Advantage

The success of the Venture Client Model hinges on its unique structure, which addresses the primary failures of traditional internal R&D and CVC:

1. De-Risked Operational Access (The Speed Multiplier)

Traditional procurement processes are an innovation killer. They are designed for stability, not speed. The Venture Client Unit (VCU) operates with its own streamlined legal and commercial framework, allowing for the rapid deployment of proof-of-concept projects. This structure allows a startup solution to enter the corporate environment in weeks, not months, dramatically accelerating the time-to-value.

2. Focused Pain Point Sourcing (The Value Anchor)

Unlike traditional CVC, which often chases market hype, the VCU starts by rigorously identifying the top five systemic pain points within the parent organization (e.g., slow supply chain traceability, high energy consumption in a factory). They then source startups specifically to solve those problems. This ensures that every pilot project is anchored to an immediate, quantifiable operational return, overcoming internal resistance by delivering proven, tangible value right away.

3. Internal Cultural Catalyst (The Mindset Shift)

The most profound impact of the Venture Client Model is internal. When a lean, external solution fixes a multi-million-dollar internal process in six weeks, it creates a powerful cultural catalyst. It shows internal teams what is possible outside the traditional, risk-averse framework, directly increasing the Adaptability Quotient (AQ) of the workforce. It changes the mindset from “we can’t do that” to “who outside can help us do this?”

Case Study 1: The Automotive OEM and Process Optimization

Challenge: Inefficient Factory Floor Logistics

A major European automotive manufacturer was suffering from production bottlenecks due to outdated manual logistics tracking on its assembly lines. Traditional internal R&D struggled to find a quick, cost-effective solution that could integrate with decades-old legacy systems. The internal solution required a full-scale IT overhaul, demanding years and hundreds of millions.

Venture Client Intervention:

The manufacturer’s VCU identified a small startup specializing in computer vision-based inventory tracking. Within a specialized procurement sandbox, the VCU ran a three-month pilot. The startup’s off-the-shelf software was integrated with existing CCTV infrastructure to track component flow automatically. The result was a 15% reduction in assembly-line bottlenecks and an immediate, visible ROI. The manufacturer then scaled the solution across five factories within the next year.

The Human-Centered Lesson:

The success was not just technological; it was methodological. The Venture Client process forced internal operations teams to collaborate with a nimble external party on a real, immediate problem, breaking down “Not Invented Here” bias and proving the viability of external solutions.

The Crucial Distinction: Client vs. Investor

The Venture Client is fundamentally different from Corporate Venture Capital (CVC). CVC focuses on a financial return in 5-7 years, often funding startups outside the corporation’s direct operational sphere. The Venture Client focuses on an operational return in 6-12 months. The contract is for a product or service (not equity), though VCU often has an option for future equity if the pilot is successful. This immediate operational focus ensures that the initiative remains aligned with core business needs, securing necessary internal sponsorship.

Case Study 2: The Infrastructure Firm and Predictive Maintenance

Challenge: Reactive Maintenance in Remote Infrastructure

A global energy infrastructure firm maintained thousands of remote assets (pipelines, wind farms) and relied on scheduled or reactive maintenance, leading to costly downtime and emergency fixes. The internal data science team was too small and too focused on existing predictive models to develop a radically new solution.

Venture Client Intervention:

The VCU scouted a specialized startup utilizing acoustic sensing and advanced machine learning to detect micro-leaks and component wear in real-time, long before traditional vibration sensors flagged an issue. The firm acted as the first commercial client, providing the startup with critical, large-scale training data from their assets. The pilot demonstrated an increase in lead time for critical fixes by three weeks. The firm then moved from a pilot contract to a large-scale, multi-year vendor contract, securing a strategic advantage in predictive asset management.

The Human-Centered Lesson:

This highlights the mutual value exchange. The corporation gained a strategic, proprietary solution and validated a technology stream. The startup gained a massive, credible reference customer and the data necessary to rapidly mature its AI model. It’s a win-win built on the human-centered need for speed (startup) and stability (corporation).

Conclusion: Scaling External Ingenuity

The Venture Client Model is the ultimate tool for scaling external ingenuity for internal disruption. It turns the largest corporate asset — its scale, its budget, and its pain points — into a magnet for innovation. By establishing a dedicated, de-risked commercial channel, corporations can access game-changing technologies on their own terms, transforming innovation from a high-stakes financial bet into a continuous portfolio of strategic pilots that accelerate organizational learning.

“Stop waiting for the big acquisition to disrupt your business. Start paying the right startups to solve your most urgent problems today. That is the Venture Client Model.” — Braden Kelley

Your first step toward building a Venture Client capability: Identify the single biggest operational bottleneck in your organization that costs over $5 million annually, and commit to finding an external startup solution to pilot it within 90 days.

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.

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Innovation or Not – The Trackless Train

A Human-Centered Analysis

LAST UPDATED: November 13, 2025 at 1:23PM
Innovation or Not - The Trackless Train

GUEST POST from Chateau G Pato

In the urban mobility landscape, China’s Autonomous Rail Rapid Transit (ART) — colloquially known as the trackless train or trackless tram — has emerged as a major disruptive force. Operating on rubber tires guided by optical sensors and GPS along “virtual tracks” painted on the road, it mimics the capacity and ride quality of a light rail system without the immense cost and disruption of laying physical rails. The critical question for city leaders is: Does this technology satisfy a true Human-Centered Change imperative, or is it merely an aesthetically pleasing substitute?

Innovation, in my view, is defined by solving a problem with a solution that delivers orders of magnitude greater value to the end-user or the system. The trackless train is a powerful example of systemic innovation because it challenges the trade-off that has defined urban transit for a century: high capacity equals high infrastructure cost.

It sits squarely in the “mid-tier transit” niche, providing the capacity (up to 300-500 passengers) that traditional Bus Rapid Transit (BRT) often lacks, while avoiding the exorbitant cost ($100M+ per kilometer) and multi-year construction timelines of Light Rail Transit (LRT). This cost differential is the fundamental disruptive innovation, making high-capacity transit accessible to thousands of previously underserved cities.

The Three-Axis Innovation Test

To assess ART’s true innovative nature, we must evaluate it against three critical axes of change:

1. The Cost-Reduction Axis (Systemic Innovation)

The primary systemic innovation of the trackless train is the elimination of fixed steel rails. This massive reduction in civil engineering cost — with proponents suggesting installation for as little as $10M per kilometer compared to $130M per kilometer for LRT — is transformative for medium-sized cities globally. This enables cities previously locked out of high-capacity transit due to budget constraints to deploy a solution quickly. This is innovation by subtraction.

2. The User Experience Axis (Human-Centered Innovation)

For the passenger, the value proposition hinges on ride quality and reliability. ART leverages stabilization technologies borrowed from high-speed rail to offer a smoother, quieter ride than a standard articulated bus. Furthermore, its guidance system and dedicated lane operations (where implemented) ensure a higher level of punctuality and predictability than mixed-traffic buses. The rail-like aesthetic also positively impacts land use, encouraging development around stations much like traditional rail. The faster deployment time also means citizens get access to improved transit sooner, a key human-centered benefit.

3. The Operational Flexibility Axis (Adaptive Innovation)

Unlike fixed-rail systems, ART offers greater adaptive flexibility. The vehicles are bi-directional and, crucially, can temporarily leave their virtual track to navigate around accidents or construction, a capability impossible for LRT. This allows the system to remain resilient to unexpected urban disruption, delivering a less frustrated customer experience.

  • The Challenge: Critics argue that this flexibility undercuts its benefit, as it still operates in mixed traffic and lacks the legal permanence that fixed rail offers to developers for long-term investment guarantees.

Case Study 1: Yibin, China – The Speed and Cost Imperative

Challenge: Rapid Urban Expansion vs. Traditional Rail Cost

Yibin, a city in Sichuan, China, experienced rapid population growth and needed a mid-capacity transit solution quickly to connect the old city center with its new high-speed rail network. Traditional LRT was deemed too expensive and time-consuming for the required 17.7km line through dense urban areas.

ART Intervention:

Yibin adopted the ART system (Line T1). The line was constructed and made operational in less than a year at a cost estimated around $13M/km — significantly less than the cost of conventional light rail. The short deployment time was critical to connecting the new high-speed rail station to the city’s commercial hubs almost immediately upon its completion. The ART was able to deliver a rail-like experience — speed (up to 70kph) and capacity (300 passengers per train) — at an accelerated timeline, thereby redefining the transit delivery schedule constraint.

The Innovation Takeaway:

This case demonstrates the value of Time-to-Market Innovation. The ART solution allowed Yibin to unlock the economic benefits of its high-speed rail investment years earlier than a conventional project would have allowed. The combination of speed and cost proved to be the transformative change agent.

The Gadgetbahn Critique: Is it Just a Fancy Bus?

A significant, rational critique from the transit community dismisses ART as a “gadgetbahn” — a glorified articulated bus. Critics point out that the system still requires reinforced concrete guideways to handle the multi-axle steering and rubber wheels repeating the same trajectory, which can cause significant differential road wear and compromise the promised low disruption and quick deployment. This addresses a critical flaw in the infrastructure savings claim.

However, the innovation lies not just in the hardware, but in the integration of technologies — high-speed rail stabilization, sensor-fusion guidance (GPS, Lidar), and multi-car articulation — that collectively push it into a new capacity and ride-quality tier. It’s an example of combinatorial innovation, where existing technologies are synthesized to solve a previously intractable systemic problem. It is a bus platform elevated to a new class of service, offering a viable, lower-cost step between high-quality BRT and full LRT.

Case Study 2: Perth, Australia – The Policy Barrier Test

Challenge: Certifying a New Mid-Tier System in a Developed Market

Perth, Western Australia, was one of the first Western cities to commit to implementing ART. Their challenge was not technical feasibility, but rather overcoming the rigid, decades-old regulatory framework that recognizes only two categories: fixed rail and road vehicles (buses/cars). ART fits neither.

ART Intervention:

The Perth initiative received funding for certification and demonstration of the ART vehicle. The focus of the trial was less on performance and more on addressing the policy and safety assurance gap. This involved proving how the vehicle’s unique steering, braking, and guidance systems met stringent public transport safety standards, essentially forcing a regulatory body to create a new transit category. The investment here is in demonstrating the integrity of the system to a skeptical, risk-averse regulatory environment.

The Innovation Takeaway:

The Perth case highlights that Innovation is often a Policy Problem. The ART forces cities to rethink urban transit categories, creating a viable regulatory precedent for mid-tier transit globally. The innovation is the ability to adapt to, and ultimately change, the institutional environment required for mass-scale adoption.

Conclusion: Redefining the Rail Niche

The trackless train is more than a clever bus. It is a powerful disruptive innovation because it provides a high-value trade-off for urban planners: high capacity and quality at a fraction of the cost and time. While it will not replace subways or traditional high-density light rail, it creates a new, accessible rail niche for the thousands of medium-sized cities worldwide that need a step up from BRT but cannot afford LRT. It provides the capacity necessary to drive urban regeneration without the financial burden, fundamentally changing how we approach city-shaping.

“True innovation eliminates the impossible trade-off. The trackless train removes the ‘rail-or-bust’ constraint for millions of urban citizens.”

Your first step toward systemic innovation: Identify one systemic problem in your organization currently constrained by a high cost/high time trade-off, and challenge your teams to find a combinatorial solution that eliminates the cost barrier entirely, much like the trackless train.

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.

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What Leaders Need to Know About Organizational Innovation

What Leaders Need to Know About Organizational Innovation

GUEST POST from Art Inteligencia

Organizational innovation is an essential component of any successful business. In an ever-changing business environment, having the ability to develop and implement innovative solutions can be the difference between success and failure. But what do leaders need to know about organizational innovation?

First and foremost, leaders need to understand the importance of fostering a culture of innovation. Creating an environment where employees feel comfortable to come up with creative solutions and take risks is essential for any business looking to stay ahead of the competition. Leaders should be willing to provide resources and support to help employees come up with new ideas and solve problems.

Leaders should also be aware of the potential risks associated with innovation. While new ideas can bring great rewards, they can also come with a certain degree of risk. Leaders should have a strategy in place to mitigate these risks, and make sure that any new initiatives are thoroughly tested before implementation.

Leaders should also recognize the importance of collaboration when it comes to innovation. Working together to come up with creative solutions can be a great way to foster team spirit and drive the business forward. Leaders should encourage employees to work together to come up with new ideas and solutions, and should provide resources to help facilitate this process.

Finally, leaders should have a clear vision of where they want the business to go. Having a clear direction and a plan to reach it can help ensure that the organization’s efforts are focused on the right goals. Leaders should be willing to challenge the status quo and embrace new ideas to drive the business forward.

Organizational innovation is an essential component of any successful business. It is important for leaders to recognize the importance of fostering a culture of innovation, being aware of the potential risks associated with innovation, encouraging collaboration, and having a clear vision of where they want the business to go. By taking these steps, leaders can ensure that their organization is well-positioned to take advantage of new opportunities and remain competitive in an ever-changing business environment.

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