Tag Archives: ROI

Top 10 Human-Centered Change & Innovation Articles of October 2025

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Top 10 Human-Centered Change & Innovation Articles of October 2025Drum roll please…

At the beginning of each month, we will profile the ten articles from the previous month that generated the most traffic to Human-Centered Change & Innovation. Did your favorite make the cut?

But enough delay, here are October’s ten most popular innovation posts:

  1. AI, Cognitive Obesity and Arrested Development — by Pete Foley
  2. Making Decisions in Uncertainty – This 25-Year-Old Tool Actually Works — by Robyn Bolton
  3. The Marketing Guide for Humanity’s Next Chapter – How AI Changes Your Customers — by Braden Kelley
  4. Don’t Make Customers Do These Seven Things They Hate — by Shep Hyken
  5. Why Best Practices Fail – Five Questions with Ellen DiResta — by Robyn Bolton
  6. The Need for Organizational Learning — by Mike Shipulski
  7. You Must Accept That People Are Irrational — by Greg Satell
  8. The AI Innovations We Really Need — by Art Inteligencia
  9. Three Reasons You Are Not Happy at Work – And What to Do to Become as Happy as You Could Be — by Stefan Lindegaard
  10. The Nuclear Fusion Accelerator – How AI is Commercializing Limitless Power — by Art Inteligencia

BONUS – Here are five more strong articles published in September that continue to resonate with people:

If you’re not familiar with Human-Centered Change & Innovation, we publish 4-7 new articles every week built around innovation and transformation insights from our roster of contributing authors and ad hoc submissions from community members. Get the articles right in your Facebook, Twitter or Linkedin feeds too!

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Have something to contribute?

Human-Centered Change & Innovation is open to contributions from any and all innovation and transformation professionals out there (practitioners, professors, researchers, consultants, authors, etc.) who have valuable human-centered change and innovation insights to share with everyone for the greater good. If you’d like to contribute, please contact me.

P.S. Here are our Top 40 Innovation Bloggers lists from the last four years:

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Harnessing the Secrets of Successful Customer Engagement

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Harnessing the Secrets of Successful Customer Engagement

GUEST POST from Shep Hyken

What is customer engagement? A Google search will provide plenty of definitions to consider. Here are a few to give you a clear understanding:

  • Qualtrics defines it as “the emotional connection between a customer and a brand.”
  • A recent Forbes article defines it as “building relationships with customers at every touch point.”
  • Wikipedia offers numerous definitions from multiple sources, including this one from Forrester from 2008: “creating deep connections with customers that drive purchase decisions, interaction, and participation over time.”

All of these (and more) are correct. They work. As a modern marketer, the new question is about how to deliver on the foundational definition of customer engagement using current tools and technology.

I had a chance to do an Amazing Business Radio interview with Spencer Burke, SVP of Growth at Braze, a customer engagement platform that offers messaging solutions to multiple communication channels. We discussed the innovative ways marketers and customer experience (CX) leaders are taking customer engagement to new levels.

Burke simplified the marketing and customer engagement definition to four words: connecting brands to consumers. That’s really the job of a marketer. The result is that customers want to buy, come back and buy more.

It may sound simple, but there are obstacles to the optimal customer engagement experience. According to Burke, “Marketers have a lot on their plate. It’s not easy to be creative when there’s an emphasis on Key Performance Indicators (KPIs) and time-draining routine tasks.”

To support this statement, Burke shared findings from the 2024 Global Customer Engagement Review, in which Braze interviewed 1,900 marketing decision makers to learn about challenges and opportunities in the marketing and CX industries.

Marketing used to be about finding creative ways to engage with customers, but today’s marketers are burdened in four areas:

    1. Too much emphasis on KPIs: Forty-two percent of marketers surveyed felt KPIs inhibit a focus on creativity. Numbers/KPIs are important. After all, you can’t manage what you don’t or can’t measure (Peter Drucker). But if they get in the way of creativity, then consider pushing the numbers aside for a moment—or maybe just focus on one or two KPIs.
    2. Too many routine tasks: Forty-two percent feel too much time is spent on “business as usual execution and tasks,” leaving less time for creative work. If there’s something that can be automated, then automate it. Don’t waste any employee’s time—especially when they are trying to be creative—with tasks and processes that drain energy and take up too much time.
    3. Lack of technology: Forty-one percent feel that a lack of technology hinders the execution of creative ideas. This is where Artificial Intelligence (AI) can support the process. How can AI make a creative marketer’s life easier? There are many, many ways!
    4. Return on Investment (ROI) is hard to track: Forty percent said it’s hard to demonstrate the ROI impact of creativity. Leadership wants ROI. Often, they demand to know the ROI before a project starts. You can’t fight this. Start with the end in mind. Understanding the benefits of the work that is to be performed is important to getting leadership to buy in and support the marketing and customer engagement efforts.

AI should be used as a tool to free up time and let creatives be creative, according to Burke. For example, he says, “When you know what you want to say but haven’t been able to articulate it just right, it’s a huge confidence booster to know you can drop the message into an AI interface to get feedback and suggestions for improvement.” The time savings are substantial, but more importantly, the marketer’s focus gets to be on creating, not finishing.

Burke also mentioned how important personalization is in today’s customer engagement strategy. There’s a tremendous amount of data on customers, and brands must be thoughtful in how they manage that data. AI can help interpret the data and deliver insights about customers that can be useful. For instance, Netflix learns its customers’ viewing habits and suggests TV shows and movies. Amazon remembers what its customers have bought in the past and can accurately predict when the customer should order more. The best brands use the data AI provides to create a better experience. But, it’s a balancing act. Too much personalization creates “the creepiness factor,” where being too detailed or specific has the opposite effect of what marketers want to achieve.

Astha Malik, Chief Business Officer of Braze, says, “Today’s marketers face growing expectations from increasingly connected consumers, who want value in exchange for their attention. In response, we see a growing number of marketers tapping into first-party data and utilizing AI to ignite creativity and craft personalized experiences that both resonate with consumers and foster brand loyalty.”

In addition, brands need to be consistent with their personalization. You can’t recognize a customer one time and not know them the next time. That defeats the entire personalization campaign.

All of this takes us back to Burke’s original definition of customer engagement, which is connecting brands to consumers. That connection must be consistent and accurate. There are more and better tools than ever to help create an optimal customer engagement experience, one interaction at a time. The closer you can get to meeting customers where they are, when they need you and provide value in those interactions, the more likely they will see you as a trusted brand and say, “I’ll be back!”

Image Credits: Pexels, Shep Hyken

This article originally appeared on Forbes.com

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Beyond ROI: Measuring the Human Impact of Innovation

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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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Evaluating the ROI of Innovative Projects

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Evaluating the ROI of Innovative Projects

GUEST POST from Art Inteligencia

In the fast-paced world of business, innovation stands as a crucial pillar for sustainable growth and competitive advantage. However, the challenge often lies in quantifying the value of these innovative projects. How does one measure the return on investment (ROI) in areas where traditional metrics fall short? This article will delve into effective strategies for evaluating ROI and explore two insightful case studies that illuminate the process.

Understanding ROI in Innovation

When it comes to innovation, ROI is more than just a financial metric. It encompasses both quantitative and qualitative factors that contribute to a project’s success. Traditional ROI calculations focus on costs versus financial gains. However, in innovative projects, you should consider additional dimensions such as strategic alignment, brand enhancement, cultural impact, and customer delight.

To evaluate the ROI of innovative projects, leaders need to establish clear goals, measure tangible and intangible benefits, and maintain a balance between short-term gains and long-term strategic value.

Strategies for Measuring ROI

1. Establish Clear Objectives

Begin by defining what success looks like. Set SMART (Specific, Measurable, Achievable, Relevant, Time-bound) goals to guide your evaluation process. Clarity here will provide a baseline for measuring outcomes.

2. Consider Multiple Metrics

Besides financial returns, consider metrics like customer satisfaction, employee engagement, market penetration, and risk mitigation. These will offer a holistic view of an innovation’s impact.

3. Utilize a Balanced Scorecard

A balanced scorecard aligns business activities with organizational vision and strategy, improving internal and external communications, and monitoring organizational performance against strategic goals.

Case Studies: Real-World Applications

Case Study 1: The Tech Corporation – A Leap into AI

The Tech Corporation, a global leader in software solutions, embarked on an innovative project to integrate artificial intelligence (AI) into their existing platforms. Initially, the ROI was challenging to gauge, as traditional metrics didn’t account for the learning curve and implementation intricacies.

The project was initially projected to yield a 20% increase in operational efficiency. While direct financial gains took time, the company soon observed a 30% reduction in process time, elevating employee productivity and customer satisfaction. The Tech Corporation tracked metrics such as customer feedback, time-to-market improvements, and AI-driven insights that led to new product features.

Beyond numbers, the strategic value gained through market positioning as an AI pioneer and enhanced data-driven decision-making demonstrated an exponential ROI that went beyond financial calculations.

Case Study 2: Green Energy Innovators – Sustainable Future

Green Energy Innovators, dedicated to renewable energy solutions, launched a project to develop a next-gen solar panel utilizing breakthrough nanotechnology. The initial costs were substantial, raising apprehensions about immediate financial ROI.

Through a balanced scorecard approach, the company focused on environmental impact, community engagement, and strategic partnerships. The project resulted in a 50% increase in energy efficiency compared to traditional panels, leading to government grants and additional funding opportunities.

The intangible benefits were equally significant. Brand perception soared, attracting top-tier talent and creating a culture of innovation within the organization. Over five years, the project not only achieved financial break-even but catapulted Green Energy Innovators into the forefront of sustainable technology.

The Future of Measuring ROI in Innovation

As innovation continues to evolve, so too must our methods of evaluating its ROI. Embracing a multi-faceted approach that considers both tangible and intangible benefits is crucial. Organizations should foster a culture of experimentation and learning, ensuring that every project, successful or not, contributes valuable insights to inform future innovations.

Ultimately, the true ROI of innovative projects extends beyond immediate gains, encompassing long-term strategic value, competitive edge, and the ability to adapt in an ever-evolving market landscape.

By looking beyond the spreadsheets and investing in understanding innovation’s broader impact, organizations can unlock unprecedented growth and ensure their place at the forefront of their industries.

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 Metrics that Matter

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Measuring Success beyond ROI

Innovation Metrics that Matter

GUEST POST from Art Inteligencia

Innovation is the lifeblood of any successful organization, driving growth, market competitiveness, and industry disruption. Traditionally, Return on Investment (ROI) has been the primary metric used to assess the success of innovation initiatives. However, as innovation evolves and becomes more complex, relying solely on ROI as a measure of success may hinder organizations from realizing their true potential. In this thought leadership article, we explore alternative metrics that capture the multifaceted impact of innovation, presenting two case studies that highlight the importance of measuring success beyond ROI.

1. Beyond Financial Metrics: A Holistic Approach to Measuring Innovation Success
Innovation initiatives extend far beyond the financial aspect, encompassing elements such as market reach, stakeholder satisfaction, brand reputation, and employee engagement. Organizations committed to achieving long-term success must adopt a holistic approach to measuring innovation, going beyond ROI. By leveraging a range of metrics, organizations can gain a comprehensive understanding of the true impact of their innovation efforts. Let us delve into two case studies that exemplify the power of looking beyond traditional ROI metrics.

Case Study 1: Airbnb – Establishing Trust and Experience

Airbnb, the disruptive hospitality platform, revolutionized the way people experience travel accommodations. To gauge the success of their innovation initiatives, Airbnb moved beyond ROI to measure metrics such as customer satisfaction, brand loyalty, and community engagement.

By tracking Net Promoter Score (NPS) and customer feedback, Airbnb discovered that building trust and ensuring positive experiences were crucial aspects of their innovation strategy. These non-financial metrics correlated strongly with increased bookings and customer retention, validating their focus on establishing trust as a key driver of success. By incorporating trust-building initiatives into their metric framework, Airbnb elevated their innovation outcomes and solidified their position as a market leader.

Case Study 2: Tesla – Shaping an Eco-Friendly Future

Tesla, the renowned electric vehicle manufacturer, disrupted the automotive industry with its commitment to sustainability and renewable energy. While financial success is vital, Tesla recognized the significance of measuring metrics that reflected their overall mission.

By capturing metrics related to the reduction of greenhouse gas emissions, the number of miles driven using electric vehicles, and customer testimonials about their environmental impact, Tesla highlighted the broader societal benefits of their innovation initiatives. By showcasing their influence on reducing carbon footprints and contributing to a greener future, Tesla not only attracted investors but also cultivated a loyal customer base. This validation propelled their innovation endeavors forward, reinforcing the importance of considering impact beyond financial returns.

Conclusion

Innovation cannot be adequately captured through a single metric like ROI. Organizations must adopt a more holistic and inclusive approach to assess the true success of their innovation initiatives. By incorporating metrics that delve into customer satisfaction, trust-building, social impact, and employee engagement, organizations can harness the full potential of their innovations. The case studies of Airbnb and Tesla illustrate the power of these alternative metrics, which not only drive sustainable growth but also shape industries and create positive societal change. As businesses focus on measuring success beyond ROI, they can unlock innovation’s immense potential and achieve lasting impact.

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

Image credit: misterinnovation.com

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Tracking the ROI of Internal Learning Programs

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Knowledge Transfer Value

Tracking the ROI of Internal Learning Programs

GUEST POST from Chateau G Pato
LAST UPDATED: January 8, 2026 at 11:55AM

In our modern society, the competitive landscape is defined not by access to information, but by the ability to effectively internalize, transfer, and apply it. We are awash in data, but starved for wisdom. As a champion of Human-Centered Innovation™, I consistently highlight that innovation is change with impact. Yet, too many organizations treat internal learning and development (L&D) as a cost center, an optional extra, or worse — a checkbox activity rather than a strategic imperative for value creation.The true measure of an organization’s agility and innovation capacity lies in its Knowledge Transfer Value (KTV). This goes beyond mere training hours; it’s about the measurable return on investment (ROI) from transforming individual insights into collective capabilities. Without a robust KTV framework, companies fall into the Efficiency Trap, focusing on the number of courses completed rather than the tangible business outcomes achieved. This is a critical failure of strategic intent, allowing the Corporate Antibody to reject vital new skills.

In an era where the shelf life of skills is rapidly diminishing, and agentic AI tools are shifting the nature of work, understanding and optimizing KTV is paramount to sustainable growth.

“The most valuable asset in any organization doesn’t appear on a balance sheet: it’s the untransferred knowledge locked in the heads of your people. Innovation is not just about creating new ideas; it’s about making sure valuable ideas don’t die in a silo. You can’t lead change if you can’t share knowledge.” — Braden Kelley

From Learning Hours to Business Impact

Traditionally, L&D metrics have focused on inputs (budget spent, hours trained, courses offered) and immediate reactions (satisfaction surveys). While these have their place, they tell us little about whether the learning actually changed behavior, improved performance, or contributed to strategic goals. This is the difference between learning activity and learning value.

Tracking KTV requires a fundamental shift in mindset, linking learning initiatives directly to measurable business outcomes. This means identifying the “useful seeds of invention” within employee expertise and planting them throughout the organization. It’s about recognizing that every problem solved by an individual could be a lesson learned by a team, and every team insight could become an organizational capability.

Consider the three domains of Outcome-Driven Change: Cognitive (thinking), Affective (feeling), and Conative (doing). Effective KTV measures how learning programs influence all three, leading to tangible improvements in how employees think about challenges, feel motivated to contribute, and ultimately, what they do to drive results.

Case Study 1: Accelerating Digital Transformation at a Global Bank

The Challenge: A large, traditional banking institution was struggling to digitally transform. Its vast workforce had pockets of advanced digital expertise, but this knowledge wasn’t spreading, leading to slow adoption of new technologies and methodologies.

The KTV Innovation: Instead of mandatory online courses, they launched a “Digital Champions” program. High-performing digital natives were incentivized to become internal coaches and mentors. Their success was measured not by training hours, but by the measurable improvement in the digital literacy scores of their mentees and the reduced error rates in projects they influenced.

The Impact: This peer-to-peer knowledge transfer, explicitly tied to individual performance reviews and team-level KPIs, significantly boosted the bank’s digital fluency. Within 18 months, new digital product launch cycles were cut by 30%, directly attributable to improved internal capabilities. The KTV was clear: faster innovation cycles, lower operational risk, and higher employee engagement.

Case Study 2: Reducing Customer Churn in a SaaS Startup

The Challenge: A rapidly scaling SaaS company faced increasing customer churn. The customer success team had tribal knowledge about preventing churn, but it was inconsistent, leading to varied customer experiences.

The KTV Innovation: They implemented a “Best Practice Playbook” system. When a customer success manager (CSM) successfully prevented a high-risk churn, they were required to document their approach in a structured, searchable playbook. An AI agent then analyzed these playbooks, identifying common patterns and creating “smart alerts” for other CSMs facing similar situations.

The Impact: The KTV was tracked through a direct correlation: for every 10 playbooks added, customer churn decreased by 0.5%. The AI-augmented knowledge transfer transformed individual successes into a scalable, collective capability, significantly improving customer retention and, ultimately, recurring revenue.

Leading Companies and Startups to Watch in 2026

The future of KTV is being shaped by platforms that bridge learning with demonstrable outcomes. Companies like Degreed and EdCast are evolving beyond mere learning experience platforms (LXPs) to become “skills intelligence” hubs, directly linking course completion to skill development and project assignments. Gong and Chorus.ai, traditionally focused on sales enablement, are extending their AI-driven conversation intelligence to automatically extract and codify best practices from internal meetings. Watch for startups like Sana Labs and Arist which are leveraging agentic AI to personalize learning pathways and measure real-world application, making knowledge transfer not just efficient, but highly impactful and measurable.

Conclusion: Knowledge as a Renewable Resource

In 2026, organizations that master KTV will treat knowledge not as a finite resource, but as a renewable one. They will foster cultures where sharing, learning, and applying insights are not just encouraged, but strategically incentivized and rigorously measured. This is the essence of Human-Centered Innovation™ – empowering people to grow, collaborate, and collectively drive meaningful impact.

If you’re looking for an innovation speaker to help your organization quantify the value of its intellectual capital and build a culture of continuous learning, the answer is to unlock the true potential of your people, transforming knowledge into undeniable business value.

Frequently Asked Questions

1. What is the biggest barrier to effective Knowledge Transfer Value (KTV)?

The primary barrier is often cultural: a lack of incentives for sharing, fear of losing individual competitive advantage, or simply insufficient time allocated for knowledge documentation and peer-to-peer transfer. Organizations must actively dismantle these “Corporate Antibody” responses.

2. How can AI help in tracking KTV?

AI can analyze communication patterns, identify knowledge silos, recommend relevant learning content, and even summarize best practices from recorded interactions. By connecting these activities to performance metrics, AI provides clearer insights into the actual impact of knowledge transfer.

3. Is KTV only relevant for technical skills?

Absolutely not. While technical skills are important, KTV is equally critical for soft skills, leadership capabilities, and organizational processes. Transferring effective communication strategies or leadership styles can have a profound, measurable impact on team cohesion and overall business outcomes.

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 credits: Unsplash

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Innovator Lifetime Value

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Innovator Lifetime ValueBy now, if you’re in marketing you’re probably familiar with the concept of customer lifetime value. Put simply, it’s the idea that a customer is worth to the organization not just the value of a single transaction, but the collection of all of the transactions that they might make during their relationship with you. And when speaking of customer lifetime value, we generally don’t talk about any single customer, but speak about their value in aggregate, averaging out the high value (many, many purchases) and low value customers (one or a few purchases).

The concept is usually linked to discussions of how much you can afford to spend to acquire a customer and whether a particular advertising or marketing effort is worth undertaking.The concept has been even applied to non-profits (lifetime donor value) and even to social media ROI.

But what’s a good outside innovation partner worth?

As I was speaking with several of the innovation leaders at Intuit on their campus in Mountain View last year, it came to me that organizations should be seeking to build and strengthen relationships with their customers, suppliers, and other potential innovation partners in ways similar to their approach to traditional relationship marketing.

Having helped several clients with their relationship marketing strategies, it seems to me that there is no reason why the same principles can’t or shouldn’t be applied to your potential innovation partner community.

After all, as more and more companies begin to understand and engage in the practice of open innovation, then there will be an advantage accumulated by the organizations that do a good job of building strong and profitable relationships with the most passionate and prolific suppliers, customers, academics, etc. over those organizations that don’t.

What organization out there wouldn’t want to accumulate an innovation advantage, a growth advantage, a relationship advantage over their competitors?

But the real questions are of course:

  1. Do you have the required internal innovation capability built already to support open innovation?
  2. Are you engaging in open innovation already? Or are your competitors?
  3. What are you doing to build strong relationships with you potential innovation partners?
  4. Are you tasking skilled relationship marketers with creating and maintaining these conversations and building these relationships?

So, do you? Are you?

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