Category Archives: Digital Transformation

Process Keepers Hold the Keys to Change

Process Keepers Hold the Keys to Change

GUEST POST from Mike Shipulski

If you want to improve the work, ask the people who do the work. They know the tools and templates. They know the ins and outs of the process. They know when and how to circumvent the process. And they know what will break if you try to change the process. And what breaks is the behavior of the people that use the process.

When a process changes, people’s behavior does not. Once people learn the process, they want to continue to work that way. It’s like their bodies know what to do without even thinking about it. But on the other hand, when a process doesn’t meet the need, people naturally modify their behavior to address the shortcomings of the process. And in this case, people’s behavior doesn’t match the process yet they standardize their behavior on circumventing the process. Both of these realities – people like to do what they did last time and people modify their behavior to address shortcomings of the process – make it difficult for people to change their behavior when the process changes.

When the process doesn’t work but the modified behavior does, change the process to match the modified behavior. When that’s not possible, ask the people why they modified their behavior and ask them to come up with a process that is respectful of their on-the-fly improvements and respectful of the company’s minimum requirements for their processes.

When the process doesn’t work but the people are following it anyway, ask them to come up with ways to improve the process and listen to their ideas. Then, run a pilot of their new process on the smallest scale and see what happens. If it makes things better, adopt the process on a larger scale and standardize on the new way to work. If it makes things worse, stop the pilot and try another improvement suggested by the team, again on a small scale. Repeat this process until the process performs satisfactorily.

When the people responsible for doing the work are given the opportunity to change their processes for the better, there’s a good chance the broader population that uses the process will ultimately align their behavior to the new process. But the change will not be immediate and there may be some backsliding. But, because the keepers of the process feel ownership of the new process and benefit from the change, they will continue to reinforce the new behavior until it becomes new behavior. And if it turns out the new process needs to be modified further, the keepers of the process will make those changes and slowly align the behavior to match the process.

When the new process is better than the old one, people will ultimately follow the new process. And the best way to make the new process better than the old one is to ask the people who do the work.

Image credit: Old Photo Profile

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Designing Your Organization for Transformation

Designing Your Organization for Transformation

GUEST POST from Greg Satell

The March on Washington, in which Martin Luther King Jr. delivered his famous “I Have a Dream” speech, is one of the most iconic events in American history. So it shouldn’t be surprising that when anybody wants to drive change in the United States, they often begin with trying to duplicate that success.

Yet that’s a gross misunderstanding of why the march was successful. As I explain in Cascades, the civil rights movement didn’t become powerful because of the March on Washington, the March on Washington took place because the civil rights movement became powerful. It was part of the end game, not an opening shot.

Unfortunately, many corporate transformations make the same mistake. They try to drive change without preparing the ground first. So it shouldn’t be surprising that McKinsey has found that only about a quarter of transformational efforts succeed. Make no mistake, transformation is a journey, not a destination, and you start by preparing the ground first.

Start with a Keystone Change

Every successful transformation starts out with a vision, such as racial equality in the case of the civil rights movement. Yet to be inspiring, a vision needs to be aspirational, which means it is rarely achievable in any practical time frame. A good vision is more of a beacon than it is a landmark.

That’s probably why every successful transformation I found in my research first had to identify a keystone change which had a tangible and concrete objective, involved multiple stakeholders and paved the way for future change. In some cases, there are multiple keystone changes being pursued at once seeking to influence different institutions.

For example, King and his organization, the Southern Christian Leadership Conference (SCLC), mobilized southern blacks, largely through religious organizations, to influence the media and politicians. At the same time, through their work at the NAACP, Charles Hamilton Houston and Thurgood Marshall worked to influence the judicial system to eliminate segregation.

The same principle holds for corporate transformations. When Paul O’Neill set out to turnaround Alcoa in the 1980s, he started by improving workplace safety and, more recently, at Experian, when CIO Barry Libenson set out to move his company to the cloud, he started with internal APIs. In both cases, the stakeholders won over in achieving the keystone change also played a part in bringing about the larger vision.

Lead with Values

Throughout his career, Nelson Mandela was accused of being a communist, an anarchist and worse. Yet when confronted with these, he would always point out that nobody needed to guess what he believed, because it was all written down in the Freedom Charter way back in 1955. Those values signaled to everybody, both inside and outside of the anti-apartheid movement, what they were fighting for.

In a similar vein, when Lou Gerstner arrived at IBM in the early 90s, he saw that the once great company had lost sight of its values. For example, its salespeople were famous for dressing formally, but that was merely an early manifestation of a value. The original idea was to be close to customers and, since most of IBM’s early customers were bankers, salespeople dressed formally. Yet if customers were now wearing khakis, it was okay for IBM’ers to do so as well.

Another long held value at IBM was a competitive spirit, but IBM executives had started to compete with each other internally rather than working to beat the competition. So Gerstner worked to put a stop to the bickering, even firing some high-placed executives who were known for infighting. He made it clear, through personal conversations, emails and other channels that in the new IBM the customer would come first.

What’s important to remember about values is, if they are to be anything more than platitudes, you have to be willing to incur costs to live up to them. When Nelson Mandela rose to power, he couldn’t oppress white South Africans and live up to the values in the Freedom Charter. At IBM, Gerstner was willing to give up potential revenue on some sales to make his commitment to the customer credible.

Build a Network of Small Groups

With attendance at its weekend services exceeding 20,000, Rick Warren’s Saddleback Church is one of the largest congregations in the world. Yet much like the March on Washington, the mass of people obscures the networks that underlie the church and are the source of its power.

The heart of Saddleback Church is the prayer groups of six to eight people that meet each week, build strong ties and support each other in matters of faith, family and career. It is the loose connections between these small groups that give Saddleback its combination of massive reach and internal coherence, much like the networks of small groups convened in front of the Lincoln Memorial during the civil rights movement.

One of the key findings of my research into social and political movements is that they are driven by small groups, loosely connected, but united by a common purpose. Perhaps not surprisingly, research has also shown that the structure of networks plays a major role in organizational performance.

That’s why it’s so important to network your organization by building bonds that supersede formal relationships. Experian, for example has built a robust network of clubs, where employees can share a passion, such as bike riding and employee resource groups, that are more focused on identity. While these activities are unrelated to work, the company has found that it helps employees span boundaries in the organization and collaborate more effectively.

All too often, we try to break down silos to improve information flow. That’s almost aways a mistake. To drive a true transformation, you need to connect silos so that they can coordinate action.

Make the Shift from Hierarchies to Networks

In an earlier age, organizations were far more hierarchical. Power rested at the top. Orders went down, information flowed up and decisions we made by a select priesthood of vaunted executives. In today’s highly connected marketplace, that’s untenable. The world has become fast and hierarchies are simply too slow.

That’s especially true when it comes to transformation. It doesn’t matter if the order comes from the top. If the organization itself isn’t prepared, any significant transformation is unlikely to succeed. That’s why you need to lead with vision, establish a keystone change that involves multiple stakeholders and work deliberately to network your organization.

Yet perhaps most importantly, you need to understand that in a networked world, power no longer resides at the top of hierarchies, but emanates from the center of networks. You move to center by continually widening and deepening connections. That’s how you drive a true transformation.

None of this happens overnight. It takes some time. That’s why the desire for change is not nearly as important as the will to prepare for it.

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

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Successful Agile Transformations

Case Studies

Successful Agile Transformations

GUEST POST from Art Inteligencia

In a world accelerating at an unprecedented pace, the very notion of how organizations function and deliver value is undergoing a seismic shift. For too long, “Agile” has been bandied about as a mere set of tools or a new project management methodology. But let me be clear: that’s missing the forest for the trees. True Agile transformation is a profoundly human transformation. It’s about dismantling rigid hierarchies, fostering a culture of trust and autonomy, and relentlessly focusing on delivering real value to real people – your customers and your employees.

Many organizations embark on Agile journeys, only to stumble. They hit the inevitable resistance to change, encounter leadership unwilling to cede control, or fail to truly embed the Agile mindset within their cultural DNA. Yet, amidst these challenges, beacons of success shine brightly. These are the organizations that understood that process is important, but people are paramount. They didn’t just *do* Agile; they *became* Agile, from the inside out. Let’s delve into a couple of illuminating case studies that highlight the power of successful, human-centered Agile transformations.

Case Study 1: ING – Banking on Agility and Empowerment

The Challenge: ING, a venerable multinational banking and financial services corporation, faced the classic dilemma of established giants: how to remain competitive and responsive against nimble fintech disruptors in a rapidly digitalizing market. Their traditional waterfall approaches and siloed departments were creating drag, hindering innovation and slowing their ability to deliver new digital products and services quickly. Customer expectations were evolving rapidly, and ING needed to catch up – fast.

The Human-Centered Agile Approach: ING didn’t merely adopt a framework; they engineered a radical organizational redesign centered on people. Drawing inspiration from Silicon Valley’s tech giants, they famously restructured their entire Dutch headquarters into a “tribe and squad” model. This wasn’t just a reshuffle; it was a profound cultural shift.

  • Empowered, End-to-End Ownership: They disbanded traditional functional departments, creating small, cross-functional “squads” (teams of 5-9 people) with complete, end-to-end responsibility for specific products or customer journeys. Each squad was given the autonomy to decide how they would achieve their objectives, fostering an incredible sense of ownership, accountability, and psychological safety. This was a direct investment in the human capital.
  • Relentless Customer-Centricity: The focus moved dramatically from internal processes to external customer value. Squads were organized explicitly around customer needs and journeys, ensuring every effort directly contributed to enhancing the customer experience. Continuous feedback loops, rapid prototyping, and extensive user testing became the norm, allowing ING to truly listen to its customers.
  • Leadership as Facilitators, Not Commanders: Senior leadership transformed from a command-and-control hierarchy to a servant leadership model. Their role became one of removing impediments, empowering teams, coaching, and fostering a culture where experimentation and learning from failure were not just tolerated, but encouraged. They invested heavily in comprehensive training and ongoing coaching for *all* employees, reinforcing the new mindset.

The Results: ING’s transformation is a benchmark for large-scale enterprise agility.

  • Dramatic Speed & Innovation: They significantly reduced time-to-market for new digital services, often by two-thirds. This agility fueled a surge in innovation, leading to a richer array of customer-facing products.
  • Enhanced Customer and Employee Experience: By placing customers at the heart of development, ING saw marked increases in customer satisfaction. Internally, employee engagement and morale soared as individuals felt more empowered, valued, and connected to the impact of their work.
  • Significant Cost Savings: Streamlined processes and increased efficiency led to substantial operational cost reductions.

Key Takeaways from ING:

  1. Go Beyond Process: Agile is a cultural redesign. Real transformation requires fundamentally rethinking organizational structure and leadership roles.
  2. Empower the Edge: Push decision-making authority to the teams closest to the work and the customer. Trust your people.
  3. Leaders Must Serve: Leadership’s role shifts from directing to enabling and fostering a safe, experimental environment.

Case Study 2: Microsoft – Reigniting Innovation Through DevOps and Human Connection

The Challenge: For decades, Microsoft, an undeniable software behemoth, operated under deeply ingrained, lengthy waterfall development cycles. This led to notoriously slow response times to market shifts, often years-long product release cycles, and a growing disconnect between engineering teams and the rapidly evolving needs of their enterprise and consumer customers. As the industry pivoted to cloud computing and continuous delivery, Microsoft’s traditional pace became a critical liability. The scale of change required was staggering.

The Human-Centered Agile Approach: Microsoft’s revitalization, particularly within its Azure cloud services division, stands as a testament to the power of human-centered engineering transformation. It wasn’t just about adopting Scrum; it was about building a culture of rapid feedback and continuous improvement.

  • DevOps as a Cultural Bridge: A cornerstone was the widespread adoption of DevOps practices. This went far beyond automation; it was about fostering deep collaboration and communication between traditionally siloed development and operations teams. This human alignment created shared ownership for the entire software delivery lifecycle, leading to smoother, faster deployments and a significant reduction in blame-games.
  • Small, Autonomous Teams & Direct Customer Connection: They moved from massive, multi-year projects to smaller, highly focused, cross-functional engineering teams. Crucially, these teams were given significant autonomy and were pushed to establish direct, continuous feedback loops with customers. They regularly released minimal viable products (MVPs), gathered immediate user insights, and iterated. This direct connection gave engineers a palpable sense of purpose and impact.
  • Iterative Development and Continuous Delivery: The shift from infrequent, “big bang” releases to continuous integration and continuous delivery (CI/CD) meant delivering value incrementally, reducing risk, and allowing teams to adapt their products in real-time based on actual usage and feedback. This empowered teams to learn and adjust on the fly.
  • Leadership Modeling the Change: Under Satya Nadella’s leadership, there was a profound cultural pivot towards a “growth mindset.” Leadership actively participated in Agile ceremonies, openly discussed challenges, celebrated incremental successes, and championed transparency. This top-down commitment to vulnerability and learning reinforced the new ways of working and built trust across the organization.

The Results: Microsoft’s transformation is widely recognized for reigniting its innovation engine and solidifying its position as a cloud and software leader.

  • Exponential Release Acceleration: The release cadence for Azure, once measured in months or years, accelerated to daily or even hourly deployments for some services, allowing them to compete fiercely and effectively.
  • Superior Product Quality & Relevance: Continuous testing, integration, and rapid feedback loops led to higher quality products that were consistently more aligned with customer needs.
  • Elevated Employee Engagement: Engineers reported vastly improved morale, feeling more connected to the product, the customer, and the impact of their work. The ability to see their code deployed and used quickly was a massive motivator.
  • A Culture of Continuous Learning: Beyond metrics, Microsoft successfully instilled a culture of experimentation, embracing failure as a learning opportunity, and fostering a relentless drive for improvement across its vast engineering organization.

Key Takeaways from Microsoft:

  1. DevOps is More Than Tools: It’s a cultural imperative that bridges development and operations for faster, higher-quality delivery.
  2. Customer Proximity is Power: Direct and continuous customer feedback empowers teams and ensures relevance.
  3. Leadership Must Lead By Example: A growth mindset, transparency, and active participation from the top are non-negotiable for large-scale change.

The Human Element: The True North of Agile Success

What these remarkable case studies unequivocally demonstrate is that successful Agile transformation is never purely about adopting methodologies or implementing new tools. These are merely enablers. The true alchemy happens when organizations embrace the human element – when they empower their people, foster deep psychological safety, build unwavering trust, and cultivate an environment where continuous learning, radical collaboration, and unwavering customer-centricity are not just preached, but deeply ingrained in every interaction.

When you genuinely commit to understanding your employees, listening to your customers, and creating the conditions for people to do their absolute best work, that’s when agility transcends a buzzword and becomes a sustainable, formidable competitive advantage. It’s not just about doing Agile; it’s about being Agile, mind, body, and soul. And that, my friends, is the only transformation worth pursuing in our increasingly complex world.

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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Creating Accessible Digital Experiences

Creating Accessible Digital Experiences

GUEST POST from Chateau G Pato

In the relentless pursuit of innovation, organizations often focus on speed, features, and market share. Yet, a fundamental aspect, one that unlocks true human potential and broadens market reach, is frequently overlooked: **accessibility**. For too long, accessibility has been relegated to a compliance checkbox, a burdensome requirement rather than a strategic advantage. I’m here to tell you that creating accessible digital experiences isn’t just about meeting mandates; it’s a profound strategic imperative, a catalyst for deeper customer engagement, enhanced brand loyalty, and genuine social impact. It’s about designing for humanity, not just for the “average” user, and in doing so, unlocking new avenues for growth and competitive differentiation.

The digital world, for all its promise of connectivity and information, can paradoxically create formidable barriers. For individuals with disabilities – visual, auditory, motor, cognitive – an inaccessible website, app, or software platform can be a fortress, not a gateway. When we design with accessibility in mind from the outset, we aren’t just accommodating a minority; we are improving the experience for everyone. Think about the universal design principles seen in the physical world: curb cuts, originally designed for wheelchairs, now benefiting parents with strollers, delivery drivers, and even skateboarders. The same principle applies in the digital realm, yielding universal benefits that improve usability and engagement for all.

The Irrefutable Business Case for Accessibility

Beyond the undeniable ethical responsibility, there’s an increasingly compelling business case for prioritizing accessibility. Leaders who grasp this are positioning their organizations for future success:

  • Expanded Market Reach: According to the World Health Organization, over one billion people, about 15% of the global population, experience some form of disability. This represents a significant, often underserved, market segment with substantial purchasing power – a market you’re currently missing if your experiences aren’t accessible.
  • Enhanced Usability for All: Features like clear navigation, high-contrast text, keyboard operability, and intuitive interfaces don’t just help those with disabilities; they enhance the experience for everyone. Consider a user accessing your app on a small screen in bright sunlight (requiring higher contrast) or a busy professional multitasking (benefiting from clear auditory cues and keyboard shortcuts).
  • Improved SEO & Performance: Many accessibility best practices, such as semantic HTML, proper heading structures, descriptive alt text for images, and well-structured content, directly contribute to better search engine optimization (SEO) and overall site performance. Google rewards well-structured, user-friendly content.
  • Reduced Legal Risk: Non-compliance with accessibility standards (like WCAG – Web Content Accessibility Guidelines, which are increasingly adopted globally) can lead to costly lawsuits, significant fines, and severe reputational damage. Proactive implementation is the most effective risk mitigation strategy.
  • Innovation & Brand Reputation: Companies that champion accessibility are seen as innovative, forward-thinking, and genuinely inclusive. This builds powerful brand loyalty, attracts top talent who value ethical practices, and fosters a culture of true innovation by pushing teams to think more creatively about problem-solving.

The Transformative Shift: From Compliance to Culture

The true breakthrough happens when accessibility transitions from a reactive checklist item mandated by legal teams to an ingrained, proactive part of an organization’s design, development, and content creation culture. This requires a human-centered approach, profound empathy, and a commitment to continuous learning and adaptation.

  1. Embrace Inclusive Design Principles: Design for diversity from day one. Actively involve people with disabilities in the user research, design, and testing processes. Their lived experiences provide invaluable insights that no able-bodied designer can replicate.
  2. Educate and Empower Teams: Provide comprehensive, ongoing training for designers, developers, product managers, quality assurance specialists, and content creators on accessibility standards (WCAG), assistive technologies, and inclusive design methodologies. Foster a shared understanding and collective responsibility.
  3. Integrate Accessibility into Workflows: Make accessibility a standard, non-negotiable requirement in every sprint, every design review, every code commit, and every quality assurance check. It’s not an add-on or a post-launch fix; it’s integral to the definition of “done.”
  4. Utilize Robust Tools & Testing: Leverage automated accessibility checkers for initial scans, but always complement this with manual testing using a variety of assistive technologies (e.g., popular screen readers like JAWS or NVDA, voice control software, keyboard-only navigation). Critically, conduct usability testing with actual users with diverse abilities.
  5. Iterate and Improve Continuously: Accessibility is an ongoing journey, not a static destination. Establish feedback loops, monitor digital experience performance against accessibility metrics, and continuously iterate to enhance the user experience based on real-world usage and evolving standards.

Pioneering Inclusivity: Case Studies in Action

Case Study 1: Microsoft’s Cultural Transformation for Accessibility

Microsoft has undergone a remarkable journey, transforming accessibility from a secondary consideration to a core tenet of its mission: “to empower every person and every organization on the planet to achieve more.” This wasn’t merely about adding features; it was a profound cultural shift. They launched initiatives like the “AI for Accessibility” program, a $25 million five-year grant program leveraging AI to amplify human capabilities for people with disabilities, fostering external innovation. Internally, they’ve deeply integrated accessibility features into Windows, Office 365, and Xbox, from advanced Narrator screen reader improvements to live captions for Teams meetings and the groundbreaking Xbox Adaptive Controller, designed for gamers with limited mobility. This deep commitment extends to their hiring practices, ensuring diverse perspectives are inherent in product development teams, leading to more thoughtful, empathetic, and ultimately, more universally effective solutions.

Case Study 2: Starbucks’ Seamless Inclusive Digital Ordering

Starbucks, a global leader celebrated for its in-store customer experience, recognized the escalating importance of equally accessible digital channels. Their highly utilized mobile app, a primary touchpoint for millions of daily orders, became a focal point for significant accessibility enhancements. Collaborating closely with accessibility experts and, critically, with blind and low-vision users, they embarked on a comprehensive overhaul. This included vastly improving screen reader compatibility, optimizing color contrast ratios, and streamlining the entire navigation flow. The goal was to ensure users relying on assistive technologies could seamlessly browse menus, customize complex orders, apply loyalty points, and complete payments – functionalities absolutely crucial to the personalized Starbucks experience. This strategic investment not only significantly broadened their customer base, tapping into a previously underserved demographic, but also powerfully reinforced their brand image as a progressive, community-focused organization. The holistic improvements ultimately benefited all users by making the app inherently more intuitive, robust, and reliable, underscoring the universal dividends of inclusive design.

The Future is Undeniably Inclusive

As we race towards a future increasingly dominated by sophisticated digital interactions – from augmented reality to hyper-personalized AI and the metaverse – the imperative for accessibility only grows stronger. My perspective on human-centered innovation demands that we place empathy, usability, and inclusivity at the very core of our digital creation process. True innovation isn’t just about what technology can do; it’s about what it enables people to do, regardless of their diverse abilities. By embracing accessibility as a profound strategic advantage and embedding it as a cultural cornerstone, organizations can build not just better products and services, but fundamentally a better, more equitable, and more prosperous digital world for all.

The time for lip service is over. The time to act decisively is now. Let’s design a future where every digital door is truly open to everyone, creating value not just for shareholders, but for humanity.

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: Unsplash

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Why Are Transformations So Hard to Manage?

Why Are Transformations So Hard to Manage?

GUEST POST from Drs. Dean Anderson and Linda Ackerman Anderson

Knowing which type of change your organization is undergoing is critical to your success. Three types exist, and each requires different change strategies, plans and degrees of employee engagement. A very common reason for failure in transformational change is leaders inadvertently using approaches that do not fit the type of change they are leading. Is this happening in your organization?

The three types of change occurring in organizations today are:

  1. Developmental
  2. Transitional
  3. Transformational

Traditional project management and change management effectively support developmental and transitional change, but they are woefully insufficient for transformational change. You will need to understand the type of change you are in to know whether typical project or change management approaches can work for you.

Developmental Change

Developmental change is the simplest type of change: it improves what you are currently doing rather than creates something new. Improving existing skills, processes, methods, performance standards, or conditions can all be developmental changes. Specific examples include increasing sales or quality, interpersonal communication training, simple work process improvements, team development, and problem-solving efforts.

Transitional Change

Transitional change replaces “what is” with something completely new. This requires designing and implementing a “new state.” The organization simultaneously must dismantle and emotionally let go of the old way of operating while the new state is being put into place. This “transitional” phase can be project managed and effectively supported with traditional change management tools. Examples include reorganizations, simple mergers or acquisitions, creation of new products or services that replace old ones, and IT implementations that do not radically impact people’s work or require a significant shift in culture or behavior to be effective.

Two variables define transitional change: (1) you can determine your destination in detail before you begin, and can, therefore, “manage” your transition, and (2) people are largely impacted only at the levels of skills and actions, not the more personal levels of mindset, behavior and culture.

Transformational Change

Transformation, however, is far more challenging for two distinct reasons. First, the future state is unknown when you begin, and is determined through trial and error as new information is gathered. This makes it impossible to “manage” transformation with pre-determined, time-bound and linear project plans. You can have an over-arching change strategy, but the actual change process literally must “emerge” as you go. This means that your executives, managers and frontline workers alike must operate in the unknown—that scary, unpredictable place where stress skyrockets and emotions run high.

Second, the future state is so radically different than the current state that the people and culture must change to implement it successfully. New mindsets and behaviors are required. In fact, often leaders and workers must shift their worldviews to even invent the required new future, let alone operate it effectively.

Without these “inner” shifts of mindset and culture, the “external” implementation of new structures, systems, processes or technology do not produce their intended ROI. For example, many large IT implementations fail because they require a mindset and culture change that does not occur, i.e., the new systems require people to share information across strongly held boundaries or put the needs of the enterprise over their own turf agendas. Without these radical changes in attitude and behavior, people do not use the technology as designed and the change fails to deliver its ROI.

Implications for the Workforce

Because transformation impacts people so personally, you must get them involved in it to garner their support; and the earlier in the process of formulating your transformation strategy the better! Employee resistance is always in direct proportion to the degree to which people are kept in the dark and out of the change process. Here are some options for employee engagement.

Get staff engaged in building your case for change and determining the vision for the new state. Consider using large group meeting technologies, which can involve hundreds of people simultaneously in short periods of time.

Consider putting a wider representation of people on your change leadership team. Provide mindset, behavior, and change skill development to all employees. Use employee groups to identify your customers’ requirements for your transformation, and to benchmark what “best-in-class” organizations are doing in your industry. Ask employee groups to input to enterprise-wide changes that impact them, and give them the authority to design the local changes for improving their work (they know it best.) Then before implementation, get them involved in doing an impact analysis of your design to ensure that it is feasible and won’t overwhelm your organization beyond what it can handle.

When you engage your employees in these ways before implementation, you minimize resistance. Use such strategies to support your change efforts, especially if they are transformational.

Image credit: Pixabay

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Top 10 Human-Centered Change & Innovation Articles of July 2022

Top 10 Human-Centered Change & Innovation Articles of July 2022Drum 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 July’s ten most popular innovation posts:

  1. What Latest Research Reveals About Innovation Management Software — by Jesse Nieminen
  2. Top Five Reasons Customers Don’t Return — by Shep Hyken
  3. Five Myths That Kill Change and Transformation — by Greg Satell
  4. How the Customer in 9C Saved Continental Airlines from Bankruptcy — by Howard Tiersky
  5. Changing Your Innovator’s DNA — by Arlen Meyers, M.D.
  6. Why Stupid Questions Are Important to Innovation — by Greg Satell
  7. We Must Rethink the Future of Technology — by Greg Satell
  8. Creating Employee Connection Innovations in the HR, People & Culture Space — by Chris Rollins
  9. Sickcare AI Field Notes — by Arlen Meyers, M.D.
  10. Cultivate Innovation by Managing with Empathy — by Douglas Ferguson

BONUS – Here are five more strong articles published in June 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!

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 two years:

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What will it take to create a national medical records system?

What will it take to create a national medical records system?

GUEST POST from Arlen Meyers, M.D.

Almost every person that has experienced the US sickcare system has been frustrated by the lack of data interoperability. We are all paying the costs, now pegged at $4.1T. About $1T of the tab is waste.

Here is the case for data interoperability.

Larry Ellison, the CEO of Oracle, is the latest person who says he wants his company to fix that.

Like those that preceded him, he will face:

  1. Stakeholders that don’t play nice with each other
  2. An enormous cost
  3. Trying to create a VAST business model
  4. Inconsistent technical standards
  5. Competition
  6. The lack of a national patient unique identifier system
  7. Privacy and confidentiality issues
  8. A highly regulated system for patients sharing their data
  9. End user resistance to dissemination and implementation
  10. Cybersecurity
  11. Connecting the kaleidoscope of the disparate elements of the US sickcare system of systems, like the VA, safety net hospitals, rural hospitals, academic centers and DOD facilities
  12. Combining financial data with clinical data
  13. Combining research data with clinical care data
  14. Varying levels of data maturity in the system
  15. Accessing data that is created outside of traditional medical service facilities
  16. The growth of retail sickcare and sicktech companies
  17. Harnessing data from the internet of medical things
  18. Integrating artificial intelligence to not only achieve the quintuple aim, but also create shareholder value that will conflict with one another
  19. Winning the “cloud wars”
  20. The lack of trust and growing sickcare technoskepticism
  21. The Cerner VA implentation FUBAR halo effects.
  22. Changing the EMR “SHIT” -single most hated information technology- to a whole product solution
  23. Accessing unstructured data on social media sites
  24. Governance of the enterprise
  25. Regulatory oversight of software as a medical device and digital therapeutics
  26. Low levels of sickcare professional and patient data literacy
  27. Barriers to international data sharing in a era of pandemics and required rapid response
  28. Fax facts
  29. Push back from patients who want to be paid for their data
  30. Decentralized clinical trial data issues
  31. DEI
  32. Leaderpreneurship skills
  33. UI/UX Will he eliminate passwords?

Wouldn’t it be nice if Sickcare USA, Inc. could provide you with the same experience as your bank ATM system?

Is Larry really the smartest person or just in the wrong room?

Image Credit: Pixabay

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Five Myths That Kill Change and Transformation

Five Myths That Kill Change and Transformation

GUEST POST from Greg Satell

I first became interested in transformation in the fall of 2004. I was managing a leading news organization in Kyiv, Ukraine when the Orange Revolution broke out. It was an amazing thing to witness and experience. Seemingly overnight, a habitually dormant populace suddenly rose up and demanded change.

One of the things that struck me at the time is how no one really knew what was going on or what would happen next—not the journalists I spoke to in the newsroom every day, not the other business leaders and certainly not the political leaders. Anyone with any conventional form of power seemed to have completely lost their ability to shape events.

That’s what started me on my 15 year-long journey to understand how transformation works that led to my book, Cascades. What I found was that many traditional notions about change management are not only wrong, but they can also actually kill a transformational effort even before it really starts. Here are five myths that you need to avoid if you want to bring change about.

Myth #1: You Need to Get Off to a Fast Start

Traditionally, managers launching a new initiative have aimed to start big. They work to gain approval for a sizable budget as a sign of institutional commitment, recruit high-profile executives, arrange a big “kick-off” meeting and look to move fast, gain scale and generate some quick wins. All of this is designed to create a sense of urgency and inevitability.

That may work for a conventional project, but for something that’s truly transformational, it’s a sure path to failure. Starting off with a big bang will often provoke fear and resistance among those who aren’t yet on board. Real, lasting change always starts with small groups, loosely connected, united by a shared purpose.

A much more effective strategy is to start with a keystone change that represents a concrete and tangible goal, involves multiple stakeholders and paves the way for future change. That’s how you build credibility and momentum. While the impact of that early keystone change might be limited, a small, but meaningful, initiative can show what’s possible.

For example, when the global data giant Experian sought to transform itself into a cloud-based enterprise, it started with internal API’s that had limited effect on its business. Yet those early achievements spurred on a full digital transformation. In much the same way, when Wyeth Pharmaceuticals began its shift to lean manufacturing, it started with a single process at a single plant. That led toa 25% reduction of costs across the entire firm.

Myth #2: You Need to Demand Early Commitment

Another thing that leaders often do is demand early commitment to a transformational initiative. They point out a new direction and they want everybody to get on board—or else. Any lingering questions or doubts are considered to be tantamount to disloyalty and are not tolerated.

This is silly. If an initiative really is transformational, then by definition it’s very different than what the rank and file have come to accept. If people don’t have any questions or doubts, then that means they never really believed in the organization before the transformation. They were just keeping their heads down and playing along.

Rather than demanding commitment, smart transformation initiatives start out as voluntary. By allowing people to opt-in, you are much more likely to get people who are truly enthusiastic and want things to work. That will make things much easier than wasting a lot of time and energy trying to convince people that change is a good thing.

Smart, devoted people should have questions. Certainly, you wouldn’t want people to change direction on a dime and have absolutely no doubts. At least in the beginning, you want to allow people to self-select. That’s how you ensure that people are genuinely enthusiastic and engaged, rather than just playing lip service to the idea.

Myth #3: You Have to Have a Unique Value Proposition and Differentiate Yourself

Because traditional change management programs rely so much on persuasion, they tend to borrow a lot from marketing. So the first step they often take is to differentiate the change they seek from the status quo by formulating a unique value proposition. This is almost always a mistake.

It is difference that makes people uncomfortable with change in the first place, so presenting unfamiliar concepts is a sure way to heighten resistance. Rather than focusing on differentiation, what you want to do is present change in the context of shared values.

For example, many organizations today are trying to adopt agile development techniques. Unfortunately, evangelists often start by promoting the Agile Manifesto, because that’s what makes them passionate about the idea in the first place. Yet for people outside the Agile community, the Agile Manifesto can seem strange, or even threatening.

If you want to attract people to your cause, you need to focus on shared values to create a comfortable entry point. In the case of Agile development, while most people are unfamiliar with the concepts in the Agile Manifesto, everybody understands the value of better-quality projects done faster & cheaper. As Darrell Rigby and his co-authors explain in Doing Agile Right, Agile, at its core, is really about becoming a high-performance organization.

Myth #4: You Have to Engage Your Fiercest Critics

One of the things we’re most frequently asked about in our workshops is how to persuade those who are dead set against change. The underlying assumption is that if you can come up with the right communication strategy or rhetorical flourish, anybody can be convinced of anything. That’s clearly not the case. Nobody is that clever or charming.

The truth is that if an idea is important and has real potential for impact, there will always be people who will hate it and work to undermine it in ways that are dishonest, deceptive and underhanded. You will not convince them, and you shouldn’t even try. You will just be wasting time and energy.

What you can do, however, is listen. The arguments your opposition uses will clue you in to the shared values that can bring people over to your side. For example, for a long-time people who opposed LGBTQ rights emphasized that they were defending families. It is no accident that gay marriage, with its emphasis on committed relationships and raising happy families, became the vehicle to drive the movement forward.

In a similar vein, those who oppose diversity and inclusion initiatives often do so on the grounds of performance (while strongly proclaiming that they support fairness). Yet the vast preponderance of the evidence shows that diversity improves performance. By making that case, you are tapping in a value that even your opposition has highlighted as important.

Myth #5: Transformation Is Either Top-Down or Bottom-Up

There has been a long running debate about whether change should be top-down or bottom-up. Some say that true change can only take hold if it comes from the top and is pushed through the entire organization. Others argue that you must first get buy-in from the rank-and-file before any real change can take place.

That is a false choice. For any given idea or initiative, you are likely to find both support and resistance at every level of the organization. You don’t start a movement for change by specifying who belongs and who doesn’t, you need to go out and identify your Apostles wherever you can find them.

The truth is that transformation isn’t top-down or bottom-up but moves from side-to-side. Change never happens all at once and can’t simply be willed into existence. It can only take place when people truly internalize and embrace it. The best way to do that is to empower those who already believe in change to bring in those around them.

And that reveals what is probably the most important myth of all, that creating change takes special personal qualities. One of the things that amazed me in my research was how ordinary even legendary change leaders were at the beginning (as a young lawyer, Gandhi was too shy to speak up in court). What made them different is what they learned along the way.

Transformation is always a journey, never a particular destination. So, the most important thing you can do to bring change about is simply to get started. If not now, when? If not you, who?

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

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TODAY ONLY – Change Planning Toolkit – Fourth of July Special

TODAY ONLY - Change Planning Toolkit - Fourth of July SpecialHappy Fourth of July!

For all of my American friends in celebration of Independence Day, I have a special offer for you.

If you live in the United States of America, TODAY ONLY, if you purchase a copy of:

The Change Planning Toolkit from the Human-Centered Change methodology …

You can get one of the two following deals if you are one of the first ten (10) people to purchase the deal and ENTER A UNITED STATES MAILING ADDRESS:

OPTION ONE: Free copy of Charting Change (a $49.99 value) when you buy a $99.99 one-year Change Planning Toolkit license (a $1,200 value)

OPTION TWO: Save 40% and get a free copy of Charting Change (a $49.99 value) when you buy a $999.99 Change Planning Toolkit lifetime license (a $120,000 value) and use coupon code lifetime4th

Thank you to all of our servicemen and servicewomen for protecting our freedom, and to everyone else please keep your fingers and toes safe with any celebration fireworks, and …

Keep innovating!

We Must Rethink the Future of Technology

We Must Rethink the Future of Technology

GUEST POST from Greg Satell

The industrial revolution of the 18th century was a major turning point. Steam power, along with other advances in areas like machine tools and chemistry transformed industry from the work of craftsmen and physical labor to that of managing machines. For the first time in world history, living standards grew consistently.

Yet during the 20th century, all of that technology needed to be rethought. Steam engines gave way to electric motors and internal combustion engines. The green revolution and antibiotics transformed agriculture and medicine. In the latter part of the century digital technology created a new economy based on information.

Today, we are on the brink of a new era of innovation in which we will need to rethink technology once again. Much like a century ago, we are developing new, far more powerful technologies that will change how we organize work, identify problems and collaborate to solve them. We will have to change how we compete and even redefine prosperity itself.

The End of the Digital Revolution

Over the past few decades, digital technology has become almost synonymous with innovation. Every few years, a new generation of chips would come out that was better, faster and cheaper than the previous one. This opened up new possibilities that engineers and entrepreneurs could exploit to create new products that would disrupt entire industries.

Yet there are only so many transistors you can cram onto a silicon wafer and digital computing is nearing its theoretical limits. We have just a few generations of advancements left before the digital revolution grinds to a halt. There will be some clever workarounds to stretch the technology a bit further, but we’re basically at the end of the digital era.

That’s not necessarily a bad thing. In many ways, the digital revolution has been a huge disappointment. Except for a relatively brief period in the late nineties and early aughts, the rise of digital technology has been marked by diminished productivity growth and rising inequality. Studies have also shown that some technologies, such as social media, worsen mental health.

Perhaps even more importantly, the end of the digital era will usher in a new age of heterogeneous computing in which we apply different computing architectures to specific tasks. Some of these architectures will be digital, but others, such as quantum and neuromorphic computing, will not be.

The New Convergence

In the 90s, media convergence seemed like a futuristic concept. We consumed information through separate and distinct channels, such as print, radio and TV. The idea that all media would merge into one digital channel just felt unnatural. Many informed analysts at the time doubted that it would ever actually happen.

Yet today, we can use a single device to listen to music, watch videos, read articles and even publish our own documents. In fact, we do these things so naturally we rarely stop to think how strange the concept once seemed. The Millennial generation doesn’t even remember the earlier era of fragmented media.

Today, we’re entering a new age of convergence in which computation powers the physical, as well as the virtual world. We’re beginning to see massive revolutions in areas like materials science and synthetic biology that will reshape massive industries such as energy, healthcare and manufacturing.

The impact of this new convergence is likely to far surpass anything that happened during the digital revolution. The truth is that we still eat, wear and live in the physical world, so innovating with atoms is far more valuable than doing so with bits.

Rethinking Prosperity

It’s a strange anachronism that we still evaluate prosperity in terms of GDP. The measure, developed by Simon Kuznets in 1934, became widely adopted after the Bretton Woods Conference a decade later. It is basically a remnant of the industrial economy, but even back then Kuznets commented, “the welfare of a nation can scarcely be inferred from a measure of national income.”

To understand why GDP is problematic, think about a smartphone, which incorporates many technologies, such as a camera, a video player, a web browser a GPS navigator and more. Peter Diamandis has estimated that a typical smartphone today incorporates applications that were worth $900,000 when they were first introduced.

So, you can see the potential for smartphones to massively deflate GDP. First of all, the price of the smartphone itself, which is just a small fraction of what the technology in it would have once cost. Then there is the fact that we save fuel by not getting lost, rarely pay to get pictures developed and often watch media for free. All of this reduces GDP, but makes us better off.

There are better ways to measure prosperity. The UN has proposed a measure that incorporates 9 indicators, the OECD has developed an alternative approach that aggregates 11 metrics, UK Prime Minister David Cameron has promoted a well-being index and even the small city of Somerville, MA has a happiness project.

Yet still, we seem to prefer GDP because it’s simple, not because its accurate. If we continue to increase GDP, but our air and water are more polluted, our children less educated and less healthy and we face heightened levels of anxiety and depression, then what have we really gained?

Empowering Humans to Design Work for Machines

Today, we face enormous challenges. Climate change threatens to pose enormous costs on our children and grandchildren. Hyperpartisanship, in many ways driven by social media, has created social strife, legislative inertia and has helped fuel the rise of authoritarian populism. Income inequality, at its highest levels since the 1920s, threatens to rip shreds in the social fabric.

Research shows that there is an increasing divide between workers who perform routine tasks and those who perform non-routine tasks. Routine tasks are easily automated. Non-routine tasks are not, but can be greatly augmented by intelligent systems. It is through this augmentation that we can best create value in the new century.

The future will be built by humans collaborating with other humans to design work for machines. That is how we will create the advanced materials, the miracle cures and new sources of clean energy that will save the planet. Yet if we remain mired in an industrial mindset, we will find it difficult to harness the new technological convergence to solve the problems we need to.

To succeed in the 21st century, we need to rethink our economy and our technology and begin to ask better questions. How does a particular technology empower people to solve problems? How does it improve lives? In what ways does it need to be constrained to limit adverse effects through economic externalities?

As our technology becomes almost unimaginably powerful, these questions will only become more important. We have the power to shape the world we want to live in. Whether we have the will remains to be seen.

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

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