Category Archives: Change

Asking the Hard Questions About What We Create

Beyond the Hype

GUEST POST from Chateau G Pato

In the relentless pursuit of “the next big thing,” innovators often get caught up in the excitement of what they can create, without ever pausing to ask if they should. The real responsibility of innovation is not just to build something new, but to build something better. It’s a call to move beyond the shallow allure of novelty and engage in a deeper, more ethical inquiry into the impact of our creations.

We are living in an age of unprecedented technological acceleration. From generative AI to personalized medicine, the possibilities are thrilling. But this speed can also be blinding. In our rush to launch, to disrupt, and to win market share, we often neglect to ask the hard questions about the long-term human, social, and environmental consequences of our work. This oversight is not only a moral failing, but a strategic one. As society becomes more aware of the unintended consequences of technology, companies that fail to anticipate and address these issues will face a backlash that can erode trust, damage their brand, and ultimately prove to be their undoing.

Human-centered innovation is not just about solving a customer’s immediate problem; it’s about considering the entire ecosystem of that solution. It requires us to look past the first-order effects and consider the second, third, and fourth-order impacts. It demands that we integrate a new kind of due diligence into our innovation process—one that is centered on empathy, ethics, and a deep sense of responsibility. This means asking questions like:

Who benefits from this innovation, and who might be harmed?
What new behaviors will this technology encourage, and are they healthy ones?
Does this solution deepen or bridge existing social divides?
What happens to this product or service at the end of its life cycle?
Does our innovation create a dependency that will be hard to break?

Case Study 1: The Dark Side of Social Media Algorithms

The Challenge: A Race for Engagement

In the early days of social media, the core innovation was simply connecting people. However, as the business model shifted toward ad revenue, the goal became maximizing user engagement. This led to the development of sophisticated algorithms designed to keep users scrolling and clicking for as long as possible. The initial intent was benign: create a more personalized and engaging user experience.

The Unintended Consequences:

The innovation worked, but the unintended consequences were profound. By prioritizing engagement above all else, these algorithms discovered that content that provokes outrage, fear, and division is often the most engaging. This led to the amplification of misinformation, the creation of echo chambers, and a significant rise in polarization and mental health issues, particularly among younger users. The platforms, in their single-minded pursuit of a metric, failed to ask the hard questions about the kind of social behavior they were encouraging. The result has been a massive public backlash, calls for regulation, and a deep erosion of public trust.

Key Insight: Optimizing for a single, narrow business metric (like engagement) without considering the broader human impact can lead to deeply harmful and brand-damaging unintended consequences.

Case Study 2: The “Fast Fashion” Innovation Loop

The Challenge: Democratizing Style at Scale

The “fast fashion” business model was a brilliant innovation. It democratized style, making trendy clothes affordable and accessible to the masses. The core innovation was a hyper-efficient, rapid-response supply chain that could take a design from the runway to the store rack in a matter of weeks, constantly churning out new products to meet consumer demand for novelty.

The Unintended Consequences:

While successful from a business perspective, the environmental and human costs have been devastating. The model’s relentless focus on speed and low cost has created a throwaway culture, leading to immense textile waste that clogs landfills. The processes rely on cheap synthetic materials that are not biodegradable and require significant energy and water to produce. Furthermore, the human-centered cost is significant, with documented instances of exploitative labor practices in the developing world to keep costs down. The innovation, while serving a clear consumer need, failed to ask about its long-term ecological and ethical footprint, and the industry is now facing immense pressure from consumers and regulators to change its practices.

Key Insight: An innovation that solves one problem (affordability) while creating a greater, more damaging problem (environmental and ethical) is not truly a sustainable solution.

A Call for Responsible Innovation

These case studies serve as powerful cautionary tales. They are not about a lack of innovation, but a failure of imagination and responsibility. Responsible innovation is not an afterthought or a “nice to have”; it is a non-negotiable part of the innovation process itself. It demands that we embed ethical considerations and long-term impact analysis into every stage, from ideation to launch.

To move beyond the hype, we must reframe our definition of success. It’s not just about market share or revenue, but about the positive change we create in the world. It’s about building things that not only work well, but also do good. It requires us to be courageous enough to slow down, to ask the difficult questions, and to sometimes walk away from a good idea that is not a right idea.

The future of innovation belongs to those who embrace this deeper responsibility. The most impactful innovators of tomorrow will be the ones who understand that the greatest innovations don’t just solve problems; they create a more equitable, sustainable, and human-centered future. It’s time to build with purpose.

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

Image credit: Pixabay

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Driving Change Forward Requires a Shared Purpose

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Driving Change Forward Requires a Shared Purpose

GUEST POST from Greg Satell

On September 12, 1962, President Kennedy addressed the nation from Rice University. “We choose to go to the moon,” he said. “We choose to go to the moon in this decade and do the other things, not because they are easy, but because they are hard, because that goal will serve to organize and measure the best of our energies and skills.”

The speech galvanized the country into one of the most vast collective efforts in history, involving politicians, scientists, engineers and the general public to achieve that goal. Perhaps even more importantly, it imbued the country with a sense of shared purpose that carried over into our business, personal and community life.

Today, that sense of shared purpose is much harder to achieve. Our societies are more diverse and we no longer expect to spend an entire career at a single company, or even a single industry. That’s why the most essential element of a leader’s job today isn’t so much to plan and direct action, but to inspire and empower belief in a common mission.

Start with Shared Identity

When Lou Gerstner first arrived at IBM, the company was going bankrupt. He quickly identified the root of the problem: Infighting. “Units competed with each other, hid things from each other,” he would later write. Huge staffs spent countless hours debating and managing transfer pricing terms between IBM units instead of facilitating a seamless transfer of products to customers.”

The problem is a common one. General Stanley McChrystal experienced something similar in Iraq. As he described in Team of Teams, his forces were split into competing tribes, such as Navy SEALS, Army Special Forces, Night Stalker helicopter pilots, and others, each competing with everyone else for resources.

We naturally tend to form groups based on identity. For example, in a study of adults that were randomly assigned to “leopards” and “tigers,” fMRI studies noted hostility to outgroup members. Similar results were found in a study involving five-year-old children and even in infants. So, to a certain extent, tribalism is unavoidable.

It can also be positive. Under Gerstner, his employees continued to take pride in their unit, just as under McChrystal commando teams continued to build an esprit de corps. Yet those leaders, and President Kennedy as well, expanded those tribes to include a second, larger identity as IBMers, warriors in the fight against terrorism and as Americans, respectively.

Anchor Shared Identity with Shared Values

Shared identity is the first step to building a true sense of shared purpose, but without shared values shared identity is meaningless. We can, as in the study mentioned above, designate ourselves “leopards” or “tigers,” but that is a fairly meaningless distinction. It may be enough to generate hostility to outsiders, but not enough to create a genuine team dynamic.

In the 1950s there were a number of groups opposed to Apartheid in South Africa. Even though they shared common goals, they were unable to work together effectively. That began to change with the Congress of the People, a multi-racial gathering which produced a statement of shared values that came to be known as the Freedom Charter.

Nelson Mandela would later say that the Freedom Charter would have been very different if his organization, the African National Congress (ANC) had written it by themselves, but it wouldn’t have been nearly as powerful. It not only gave anti-Apartheid groups a basis for collective action, by being explicit values, it formed a foundation for those outside of South Africa, who shared the same values, to share the anti-Apartheid purpose.

Perhaps most importantly, the Freedom Charter imposed costs and constraints on the anti-Apartheid movement. By committing itself to a multi-racial movement the African National Congress lost some freedom of action. However, constraining itself in that way was in itself a powerful argument for the viability of a multi-racial society in South Africa.

One of the most powerful moments in our Transformation and Change Workshops is when people make the shift from differentiating values, such as the black nationalism that Mandela favored as a young man, to shared values, such as equal rights under the law that the Freedom Charter called for. Of course, you can be a black nationalist and also support equal rights, but it is through shared values that your change effort will grow.

Engaging in Shared Action

Shared identity and shared values are both essential elements of shared purpose, but they are still not sufficient. To create a true sense of a common mission, you need to instill bonds of trust and that can only be done through engaging in shared action. Consider a study done in the 1960s, called the Robbers Cave Experiment, which involved 22 boys of similar religious, racial and economic backgrounds invited to spend a few weeks at a summer camp.

In the first phase, they were separated into two groups of “Rattlers” and “Eagles” that had little contact with each other. As each group formed its own identity, they began to display hostility on the rare occasions when they were together. During the second phase, the two groups were given competitive tasks and tensions boiled over, with each group name calling, sabotaging each other’s efforts and violently attacking one another.

In the third phase, the researchers attempted to reduce tensions. At first, they merely brought them into friendly contact, with little effect. The boys just sneered at each other. However, when they were tricked into challenging tasks where they were forced to work together in order to be successful, the tenor changed quickly. By end of the camp the two groups had fallen into a friendly camaraderie.

In much the same way, President Kennedy’s Moonshot wasn’t some obscure project undertaken in a secret lab, but involved 400,000 people and was followed on TV by millions more. The Congress of the People wasn’t important just for the document that it produced, but because of the bonds forged in the process. General McChrystal didn’t just preach collaboration, but made it necessary by embedding his personnel in each other’s units.

Becoming a Transformational Leader

Times like these strain any organization. The Covid-19 crisis alone forces enterprises to change. Put racial and political tensions on top and you can quickly have a powder keg waiting to explode. On the other hand, much like the boys in the “Robbers Cave” experiment, common struggle can serve to build common bonds.

When President Kennedy gave his famous speech in 1962, the outlook didn’t look very bright. The launch of the Russian satellite Sputnik in 1957 had put America on its heels. Kennedy’s disastrously failed Bay of Pigs invasion was only compounded by his humiliation at the hands of Khrushchev in Vienna.

Yet instead of buckling under the pressure, Kennedy had the grit and imagination to conceive a new project that would “serve to organize and measure the best of our energies and skills.” He pledged that we would go to the moon before the decade was out and we did, putting America back on top of the world and imbuing the country with a sense of pride and ambition.

We can do the same. The Covid pandemic, while tragic, gives us the opportunity to reimagine healthcare and fix a broken system. The racial tensions that George Floyd’s murder exposed have the potential to help us build a new racial consciousness. Revolutions do not begin with a slogan, they begin with a cause.

That’s what makes transformational leaders different. Where others see calamity, they see potential for change.

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

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Neuroscience-Backed Strategies for Embracing Disruption

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The Brain on Change

Neuroscience-Backed Strategies for Embracing Disruption

GUEST POST from Chateau G Pato

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

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

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

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

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

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

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

Neuroscience-Backed Strategies for a Human-Centered Transformation

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

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

Case Study 1: Transforming a Legacy Financial Institution

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

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

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

Case Study 2: Agile Adoption in a Global Manufacturing Giant

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

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

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

The Path Forward: Leading with the Brain in Mind

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

Image credit: Gemini

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The Narrative Advantage

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How Storytelling Fuels Innovation Adoption

The Narrative Advantage

GUEST POST from Art Inteligencia

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

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

Beyond Features and Benefits: The Emotional Connection

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Crafting Your Innovation Narrative

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

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

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

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

Image credit: Pexels

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Your Next Best Action is Up to You

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Your Next Best Action is Up to You

GUEST POST from Mike Shipulski

If you don’t know why you’re doing what you’re doing, you can try to remember why you started the whole thing or you can do something else. Either can remedy things, but how do you choose between them? If you’ve forgotten your “why”, maybe it’s worth forgetting or maybe something else temporarily came up that pushed your still-important why underground for a short time. If it’s worth forgetting, maybe it’s time for something else. And if it’s worth remembering, maybe it’s time to double down. Only you can choose.

If you still remember why you’re doing what you’re doing, you can ask yourself if your why is still worth its salt or if something changed, either inside you or in your circumstances, that has twisted your why to something beyond salvage. If your why is still as salty as ever, maybe it’s right to stay the course. But if it’s still as salty as ever but you now think it’s distasteful, maybe it’s time for a change.

When you do what you did last time, are you more efficient or more dissatisfied, or both? And if you imagine yourself doing it again, do you look forward to more efficiency or predict more dissatisfaction? These questions can help you decide whether to keep things as they are or change them.

What have you learned over the last year? Whether your list is long or if it’s short, it’s a good barometer to inform your next chapter.

What new skills have you mastered over the last year? Is the list long or short? If you don’t want to grow your mastery, keep things as they are.

Do the people you work with inspire you or bring you down? Are you energized or depleted by them? If you’re into depletion, there’s no need to change anything.

Do you have more autonomy than last year? And how do you feel about that? Let your answers guide your future.

What is the purpose behind what you do? Is it aligned with your internal compass? These two questions can bring clarity.

You’re the only one who can ask yourself these questions; you’re the only one who can decide if you like the answers; and you’re the only one who is responsible for what you do next. What you do next is up to you.

“Fork in the road” by Kai Hendry is licensed under CC BY 2.0.

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What Change Agility Really Means for Your Team

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Beyond the Buzzwords

What Change Agility Really Means for Your Team

GUEST POST from Chateau G Pato

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

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

The Three Pillars: Sensing, Adapting, Thriving

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

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

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

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

Phoenix Retail Group: From Legacy to Leader

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

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

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

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

Practical Steps to Ignite Change Agility in Your Team

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

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

Case Study 2: InnovateNow’s Agile Product Pivot

InnovateNow: A Startup’s Survival Through Listening

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

Their agility was their lifeline:

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

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

The Human Imperative: Embracing the Dance

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

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

Image credit: Pixabay

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Engaging Distributed Teams in Remote Work

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Engaging Distributed Teams in Remote Work

GUEST POST from Art Inteligencia

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

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

The Core Challenge: Bridging the Distance Gap

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

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

Strategies for Enhanced Engagement

1. Foster Psychological Safety

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

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

2. Prioritize Intentional Communication

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

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

3. Cultivate a Shared Purpose and Vision

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

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

4. Invest in Technology and Training

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

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

Case Studies

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

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

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

Results:

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

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

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

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

Results:

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

The Future of Remote Engagement

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

Image credit: Pixabay

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

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

Why Amazon Wants to Sell You Robots — by Shep Hyken

Now is the Time to Design Cost Out of Our Products — by Mike Shipulski

How Consensus Kills Innovation — by Greg Satell

The Four Secrets of Innovation Implementation — by Shilpi Kumar

Reset and Reconnect in a Chaotic World — by Janet Sernack

This 9-Box Grid Can Help Grow Your Best Future Talent — by Soren Kaplan

‘Fail Fast’ is BS. Do This Instead — by Robyn Bolton

The Power of Stopping — by Mike Shipulski

The Battle Against the Half-Life of Learning — by Douglas Ferguson

The Phoenix Checklist – Strategies for Innovation and Regeneration — by Teresa Spangler

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

Is Digital Different? — by John Bessant

Marriott’s Approach to Customer Service — by Shep Hyken

Empathy: The Currency of Human Connection and Innovation — by Soren Kaplan

Four Keys to Decision Making Every Leader Should Know — by Greg Satell

Is Percy an Innovation or Another Attack on America’s Poor? — by Braden Kelley

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:

Top 40 Innovation Bloggers of 2020

Top 40 Innovation Bloggers of 2021

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Unlocking the Power of Cause and Effect

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Unlocking the Power of Cause and Effect

GUEST POST from Greg Satell

In 2011, IBM’s Watson system beat the best human players in the game show, Jeopardy! Since then, machines have shown that they can outperform skilled professionals in everything from basic legal work to diagnosing breast cancer. It seems that machines just get smarter and smarter all the time.

Yet that is largely an illusion. While even a very young human child understands the basic concept of cause and effect, computers rely on correlations. In effect, while a computer can associate the sun rising with the day breaking, it doesn’t understand that one causes the other, which limits how helpful computers can be.

That’s beginning to change. A group of researchers, led by artificial intelligence pioneer Judea Pearl, are working to help computers understand cause and effect based on a new causal calculus. The effort is still in its nascent stages, but if they’re successful we could be entering a new era in which machines not only answer questions, but help us pose new ones.

Observation and Association

Most of what we know comes from inductive reasoning. We make some observations and associate those observations with specific outcomes. For example, if we see animals going to a drink at a watering hole every morning, we would expect to see them at the same watering hole in the future. Many animals share this type of low-level reasoning and use it for hunting.

Over time, humans learned how to store these observations as data and that’s helped us make associations on a much larger scale. In the early years of data mining, data was used to make very basic types of predictions, such as the likelihood that somebody buying beer at a grocery store will also want to buy something else, like potato chips or diapers.

The achievement over the last decade or so is that advancements in algorithms, such as neural networks, have allowed us to make much more complex associations. To take one example, systems that have observed thousands of mammograms have learned to associate the ones that show a tumor with a very high degree of accuracy.

However, and this is a crucial point, the system that detects cancer doesn’t “know” it’s cancer. It doesn’t associate the mammogram with an underlying cause, such as a gene mutation or lifestyle choice, nor can it suggest a specific intervention, such as chemotherapy. Perhaps most importantly, it can’t imagine other possibilities and suggest alternative tests.

Confounding Intervention

The reason that correlation is often very different from causality is the presence of something called a confounding factor. For example, we might find a correlation between high readings on a thermometer and ice cream sales and conclude that if we put the thermometer next to a heater, we can raise sales of ice cream.

I know that seems silly, but problems with confounding factors arise in the real world all the time. Data bias is especially problematic. If we find a correlation between certain teachers and low test scores, we might assume that those teachers are causing the low test scores when, in actuality, they may be great teachers who work with problematic students.

Another example is the high degree of correlation between criminal activity and certain geographical areas, where poverty is a confounding factor. If we use zip codes to predict recidivism rates, we are likely to give longer sentences and deny parole to people because they are poor, while those with more privileged backgrounds get off easy.

These are not at all theoretical examples. In fact, they happen all the time, which is why caring, competent teachers can, and do, get fired for those particular qualities and people from disadvantaged backgrounds get mistreated by the justice system. Even worse, as we automate our systems, these mistaken interventions become embedded in our algorithms, which is why it’s so important that we design our systems to be auditable, explainable and transparent.

Imagining A Counterfactual

Another confusing thing about causation is that not all causes are the same. Some causes are sufficient in themselves to produce an effect, while others are necessary, but not sufficient. Obviously, if we intend to make some progress we need to figure out what type of cause we’re dealing with. The way to do that is by imagining a different set of facts.

Let’s return to the example of teachers and test scores. Once we have controlled for problematic students, we can begin to ask if lousy teachers are enough to produce poor test scores or if there are other necessary causes, such as poor materials, decrepit facilities, incompetent administrators and so on. We do this by imagining counterfactual, such as “What if there were better materials, facilities and administrators?”

Humans naturally imagine counterfactuals all the time. We wonder what would be different if we took another job, moved to a better neighborhood or ordered something else for lunch. Machines, however, have great difficulty with things like counterfactuals, confounders and other elements of causality because there’s been no standard way to express them mathematically.

That, in a nutshell, is what Judea Pearl and his colleagues have been working on over the past 25 years and many believe that the project is finally ready to bear fruit. Combining humans innate ability to imagine counterfactuals with machines’ ability to crunch almost limitless amounts of data can really be a game changer.

Moving Towards Smarter Machines

Make no mistake, AI systems’ ability to detect patterns has proven to be amazingly useful. In fields ranging from genomics to materials science, researchers can scour massive databases and identify associations that a human would be unlikely to detect manually. Those associations can then be studied further to validate whether they are useful or not.

Still, the fact that our machines don’t understand concepts like the fact that thermometers don’t increase ice cream sales limits their effectiveness. As we learn how to design our systems to detect confounders and imagine counterfactuals, we’ll be able to evaluate not only the effectiveness of interventions that have been tried, but also those that haven’t, which will help us come up with better solutions to important problems.

For example, in a 2019 study the Congressional Budget Office estimated that raising the national minimum wage to $15 per hour would result in a decrease in employment from zero to four million workers, based on a number of observational studies. That’s an enormous range. However, if we were able to identify and mitigate confounders, we could narrow down the possibilities and make better decisions.

While still nascent, the causal revolution in AI is already underway. McKinsey recently announced the launch of CausalNex, an open source library designed to identify cause and effect relationships in organizations, such as what makes salespeople more productive. Causal approaches to AI are also being deployed in healthcare to understand the causes of complex diseases such as cancer and evaluate which interventions may be the most effective.

Some look at the growing excitement around causal AI and scoff that it is just common sense. But that is exactly the point. Our historic inability to encode a basic understanding of cause and effect relationships into our algorithms has been a serious impediment to making machines truly smart. Clearly, we need to do better than merely fitting curves to data.

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

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Laddering Up Your Career Portfolio

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Laddering Up Your Career Portfolio

GUEST POST from Arlen Meyers, M.D.

A career used to describe your roles in one company throughout your working life, like a career at Monsanto, Deloitte, a university or IBM. But, the workplace and generational attitudes have changed, along with a prolonged life expectancy, so careers now mean something different. Now, a career includes all the roles you undertake throughout your life – education, training, paid and unpaid work, family, volunteer work, leisure activities and more.

In today’s world the term career is seen as a continuous process of learning and development. For physicians, those activities that contribute to a career can include:

training
education
employment
work experience
community activities
enterprise activities
employment
different life roles
volunteer work
leisure activities

The traditional career ladder for doctors meant 4 years of college, 4 years of medical school and then 4-6 years of residency or fellowship followed by 30-40 years of practice, if not more. The contemporary career trajectory is much different. Exit ramps exist and clinical practice half-lives are shorter.

Investment advisers often suggest bond laddering as an investment risk management strategy. A bond ladder is the name given to a portfolio of bonds with different maturities. For example, you buy bonds with maturation dates that are 1 year, 3 years,5 years and 10 years with variable returns. When one matures, you retire it and buy another on the ladder. Physician entrepreneurs should consider doing the same with their careers as a way to hedge career risk. Doctors, like most everyone, need some side gigs. But, you don’t want to quit your day job until the time is right.

Career laddering is a also a way to leverage your impact. As you move how you spend your time on one thing to another, the results of your efforts should be more meaningful and impactful, whether it be helping more people, helping to solidify your personal brand or creating a higher return the investement of your time. Think about your position, authority, and influence. How are you using them to positively impact the lives of your sphere?

Instead of putting all of your eggs in one basket, diversify your interests and job roles, gradually retiring one to assume another. For example, while clinical practice is the focus of most doctors, take time to build your interest portfolio and dedicate the requisite time and attention to those roles to build value in them. Such roles can be teaching, volunteering, advising, writing, consulting,entrepreneurship or many others. Then, when it’s time, prune or retire one of the roles to assume another on the ladder.

The strategy also applies to advising or consulting. At some point, if you have done things right, people will be coming to you to ask for help. Here are some tips on how to navigate the gig economy.

For example, you might want to apply these criteria to whether you accept your next gig based on fit:

Does it meet your personal and professional needs?
Do you trust the people ?
Do you think the business is viable and how long will it take?
What are the next critical success factors and do you have the knowledge, skills, attitudes and competencies to deliver them?
Are you satisfied with the compensation being offered?
Is there a conflict of interest with other projects?
How much will this intrude into your non-work life and other commitments?
Is the problem the company wants to solve important to you?
How much time, effort and travel is expected?
How much liability is there?

Don’t get stuck in the three boxes of life. Laddering jobs during your career, including after traditional retirement age as an encore career, is a great way to keep you engaged and satisfied.

Here is the case against early retirement. Many of these studies clearly show that health problems intensify after workers qualify for retirement benefits and abate after policies encouraging work are introduced. In addition, there are financial and social consequences.

The word is out. For the first time in 57 years, the participation rate in the labor force of retirement-age workers has cracked the 20 percent mark, according to a new report from money manager United Income (PDF). Some work longer because they want to. Most do it because they think they have to.

What’s more, since social security costs will exceed income in 2020, by delaying retirement ,you will be doing your part for your country’s budget.

You don’t have to do all this full time. Instead you can be a digital nomad or follow the 10/20/30 plan.

Some cities or towns will pay you to move there. Job switching for higher pay is common.

Create a career portfolio and rethink your encore career: You lower your risk, increase your return and can wake up with a smile on your face having made a wise investment.

Image credit: Pixabay

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