Category Archives: collaboration

3 Mind-Blowing Things I Learned in Nebraska

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3 Mind-Blowing Things I Learned in Nebraska

GUEST POST from Robyn Bolton

In the Before Times, we attended conferences to learn, make connections, and promote ourselves and our businesses. Then COVID hit, and conferences became virtual.   Although that made them easier to attend, it also made them easier to skip. Because, if we’re honest, most conferences were more about connecting and promoting than learning.

Last week, I went to one of those rare, almost mythical, conferences more focused on learning and connecting than promoting. It was fantastic! It was also in Nebraska (which is a pretty interesting place, btw).

Here are my three biggest mind-blowing takeaways from Inside Outside’s IO2022 Summit:

“Strategy is the direction you take to win in the future”

Kareen Proudian, Managing Partner at Faculty of Change

It’s a bit embarrassing to admit, but if you asked me to define “Strategy,” I’d respond with a long and rambling answer. Which means I can’t define “strategy.”  This admission is especially embarrassing because I have a resume littered with places where I developed, drafted, and implemented strategies, so I should have learned what the word means. But nope, I didn’t.

I suspect I’m not alone.

Asking for the definition of strategy is like asking if you must wear clothes to the office. You should know the answer. But unlike whether or not clothing is mandatory, most of us don’t know the answer, AND it’s easy to get away with never knowing the answer.

The elegant simplicity of Kareen’s definition of strategy blew my mind. It’s short, memorable, and something that most people can understand. Maybe I should share the definition with my alma maters and past employers.

“When we feel threatened, our IQ drops 50 to 70 points”

Alla Weinberg, CEO at Spoke & Wheel

When I first heard talk about Psychological Safety and Safe Spaces in today’s business world, I rolled my eyes. Hard. As a Gen X-er, I grumbled about how we didn’t need “safe spaces” when I grew up because we were tough and self-reliant, and I lamented the inevitable downfall of society caused by weak and coddled Millennials.

I was wrong.

Psychological Safety is absolutely and unquestionably essential for individuals to grow, teams to work, companies to operate and innovate, and societies to function and evolve. I’ve seen teams and businesses transform and achieve unbelievable success by discussing and living the elements they require for Psychological Safety. I’ve also seen teams and businesses fail in its absence.

These results aren’t surprising when you realize that you feel threatened when you are in a complex situation in which you cannot accurately predict the outcomes. And when you feel threatened, you are half as intelligent, effective, and creative as you are when you’re calm.

So, if you’re a manager and you’re upset that your people aren’t as intelligent, effective, or creative as they should be, it may not be their fault. It may be yours.

“Stage expertise, not industry expertise, is key to innovation success”

Sean Sheppard, Managing Partner at U+

There is deep comfort in the known. It’s why we gravitate to people like us. It’s also why companies ask job candidates and consultants about their experience in the industry and choose those with deep experience and impressive expertise. Often, there’s nothing with this question or the resulting decision.

Sometimes, it’s precisely the wrong question.

Sometimes, functional expertise is significantly more important than industry experience. After all, if you’re the hiring manager at a healthcare company looking for a Director of Finance, who would you hire – a Marketing Director from a competitor or a Finance Director from a CPG company?

That’s the case with innovation.

Decades of real-world experience (not to mention the successful launch of 100+ startups) show that successful corporate startup teams had expertise (mindsets, skillsets, executional drive) in the startup’s phase and a working knowledge of the industry rather extensive industry expertise and little to no innovation experience.

Questions are good. The right questions are better. So, the next time you’re staffing up an innovation team (or hiring a consultant), choose based on their innovation experience and willingness to learn about your industry.

Innovation happens everywhere

That’s why people from San Francisco, Austin, Washington DC, NYC, Toronto, Boston, and dozens of other places converged on Lincoln, Nebraska.

We went to see innovation in action and learn about the thriving startup community in the middle of the country. We also went to learn and connect with others committed to creating new things that create value.

Getting our minds blown was a bonus.

Image credit: Pixabay

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Three HOW MIGHT WE Alternatives That Actually Spark Creative Ideas

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Three How Might We Alternatives That Actually Spark Creative Ideas

GUEST POST from Robyn Bolton

Q: How might we brainstorm new ideas to serve our customers better?

A: Have a brainstorming session that starts with “How Might We help customers [Job to be Done/problem]?”

If only it were that simple.

How Might We (HMW) is an incredible tool (not BS, as some would assert), but we misuse it. We focus too much on the “we” and not enough on the “might.”

Might > We

HMW was first used to prompt people to be “wildly creative while simultaneously leveraging [company’s] innate strengths.”

IDEO popularized the prompt as a way to solve “wicked problems” – problems so complex that there is no right or wrong answer.

In both of these cases, the assumption was that the word “might” would free people from the shackles of today’s thinking and constraints and give people permission to dream without fear of judgment and reality.

“We” kept ideas tethered to the reality of the company’s “innate strengths,” providing a modicum of comfort to executives worried that the session wouldn’t result in anything useful and would, therefore, be a waste of time.

We > Might

Alas, as time went on and HMW became more popular, we lost sight of its intent (prompt wildly creative thinking about wicked problems) and twisted it to our purposes.

  • We end the HMW sentence with our problems (e.g., HMW cut costs by getting more customers to use self-service tools?).
  • We use it to brainstorm solutions to things that aren’t even problems (e.g., HMW eliminate all customer service options that aren’t self-serve?)
  • We mentally replace “might” with “will” so we can emerge from brainstorming sessions with a tactical implementation plan.

How Might Can YOU Fix HMW?

If you’re not getting creative, radical, or unexpected ideas from your brainstorming sessions, you have an HMW problem.< As a result, continuing to use HMW as a tool to prompt creative, radical, or unexpected ideas is the definition of insanity. And you are not insane. Instead, mix it up. Use different words to articulate the original intent of HMW.

How would we solve this problem if the answer to every request is YES?

Innovation thrives within constraints. Brainstorming doesn’t.

Even when you tell people not to constrain themselves, even implore them to value “quantity over quality,” you still get more “safe” ideas rather than more “crazy” ideas.

Do more than tell. Make a world without constraints real. Explicitly remove all the constraints people throw at ideas by creating a world of infinite money, people, capabilities, willingness, appetite for risk, and executive support. Doing this removes the dreaded “but” because there is no “but we don’t have the money/people/capabilities” or “but management will never go for it” and creates space for “and.”

What would we ask for if we were guaranteed a YES to only ONE request?

This question is often asked at the end of a brainstorm to prioritize ideas. But it’s equally helpful to ask it at the beginning.

This question shifts our mindset from “the bosses will never say yes, so I won’t even mention it” to “the bosses will say yes to only one thing, so it better be great!”  It pulls people off the sidelines and reveals what people believe to be the most critical element of a solution.   It drives passionate engagement amongst the whole team and acts as a springboard to the next brainstorm – How Might We use (what they said yes to) to solve (customers’ Jobs to be Done/problem)?

How would we solve the problem if the answer to every request is NO?

This one is a bit risky.

Some people will throw their hands in the air, declare the exercise a waste of time and effort, and collapse into a demotivated blob of resignation.

Some people will feel free. As Seth Godin wrote about a journal that promises to reject every single person who submits an article, “The absurdity of it is the point. Submitting to them feels effortless and without a lot of drama, because you know you’re going to get rejected. So instead of becoming attached to the outcome, you can simply focus on the work.”

For others, this will summon their inner rebel, the part of themselves that wants to stick it to the man, prove the doubters wrong, and unleash a great “I told you so” upon the world. To them, “No” is the start of the conversation, not the end. It fires them up to do their best work.

Don’t invite the first group of people to the brainstorm.

Definitely invite the other two groups.

How Might Will/Do YOU Fix HMW?

If you want something different, you need to do something different.

Start your next brainstorm with a new variation on the old HMW prompt.

How do people react? Does it lead to more creative or more “safe” ideas?

How might we adjust to do even better next time?

Image credit: Pexels

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Innovating with Competitors for Mutual Benefit

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The Art of Co-opetition

Innovating with Competitors for Mutual Benefit

GUEST POST from Art Inteligencia

For centuries, the business world has been largely defined by a zero-sum game mentality: my gain is your loss, and vice versa. Competition, in its purest form, often paints rivals as adversaries to be defeated. However, in an increasingly complex, interconnected, and rapidly evolving global economy, this outdated mindset is not only limiting; it’s detrimental. As a human-centered change and innovation thought leader, I advocate for a more nuanced and powerful strategy: **co-opetition**. This isn’t just a clever portmanteau; it’s a strategic imperative that combines competition and cooperation, enabling organizations to innovate faster, enter new markets, and tackle grand challenges that no single entity could solve alone. It’s about recognizing that sometimes, the fastest way forward is to build bridges, not just walls, with those who might traditionally be seen as your fiercest rivals.

Co-opetition acknowledges that while companies may compete fiercely for market share on one front, they can also collaborate to expand the entire market, establish industry standards, share costly R&D, or even address systemic societal issues. This requires a significant shift in mindset—from purely adversarial to strategically collaborative—and a deep understanding of shared objectives that transcend individual company interests. It’s about finding those unique, human-centered problems or opportunities that are too big for any single player, and then pooling resources and expertise to collectively unlock new value.

Why Co-opetition is the New Innovation Frontier

Embracing co-opetition offers compelling advantages in today’s innovation landscape:

  • Accelerated Innovation: By sharing research, development costs, or technological expertise, companies can bring new products, services, or industry standards to market much faster than they could individually. This is particularly crucial in rapidly evolving tech sectors.
  • Market Expansion & Creation: Collaborating with competitors can help create entirely new markets or significantly expand existing ones by developing universally accepted standards, educating consumers, or pooling resources for infrastructure development.
  • Shared Risk & Cost Reduction: Tackling complex, high-risk innovation projects (e.g., developing sustainable technologies, exploring new scientific frontiers) becomes more feasible when costs and risks are shared across multiple organizations.
  • Access to Complementary Expertise: No single company has all the answers. Co-opetition allows rivals to leverage each other’s unique strengths, technologies, or market access, creating synergistic solutions.
  • Industry-Wide Problem Solving: Many of today’s grand challenges—climate change, global health, digital ethics—require industry-wide solutions. Competitors often have a shared interest in solving these systemic issues that impact their entire ecosystem.

“In the age of exponential change, the enemy isn’t always your competitor. Sometimes, the real adversary is stagnation, and co-opetition is the antidote.”

The Art of Navigating Co-opetitive Relationships

Successfully engaging in co-opetition requires strategic clarity and careful management:

  1. Clearly Define Collaboration Boundaries: Establish strict rules of engagement, clearly delineating what areas are open for cooperation and what remains fiercely competitive. This prevents valuable intellectual property or sensitive strategies from being compromised.
  2. Identify Mutual Benefits: Both parties must clearly see the tangible advantages of collaboration. The “what’s in it for us” must be explicit and balanced.
  3. Build Trust & Transparency (Within Limits): While sharing proprietary secrets is generally off-limits, a foundational level of trust and transparency is essential for effective collaboration. Clear communication channels are vital.
  4. Focus on Expanding the Pie: The goal of co-opetition is often to grow the overall market or solve a common industry challenge, rather than just fighting over existing slices.
  5. Formalize Agreements: Legal frameworks and clear contracts are crucial to define roles, responsibilities, IP ownership, and dispute resolution mechanisms.

Case Study 1: Payment Networks – Visa, Mastercard, and the Expansion of Digital Commerce

The Challenge:

Before the widespread adoption of credit and debit cards, cash and checks dominated transactions. The challenge for individual banks was to create a universally accepted, reliable, and secure electronic payment system that would build consumer trust and enable widespread merchant adoption. No single bank had the reach or resources to do this alone.

Co-opetition in Action:

Visa and Mastercard emerged from groups of competing banks that understood the need for a shared infrastructure. While banks competed fiercely for customers, they collectively owned and operated these payment networks. These networks, in turn, competed fiercely with each other to sign up banks and merchants. This is a classic example of co-opetition:

  • Shared Infrastructure: Competing banks collaborated to create a vast, reliable network for processing transactions, establishing universal standards that benefited all participants.
  • Market Expansion: By providing a secure and convenient alternative to cash, they jointly expanded the entire market for electronic payments, creating billions in new revenue for the entire banking industry.
  • Innovation in Security & Technology: Both Visa and Mastercard continually innovate in areas like fraud prevention, contactless payments, and digital wallets, often setting industry-wide standards that benefit all banks and consumers using their networks, even as they compete for transaction volume.

The Result:

The co-opetitive model of payment networks led to an explosion in digital commerce, fundamentally transforming how people buy and sell. Competing banks leveraged a shared infrastructure to grow a massive new market. Visa and Mastercard continue to be fierce rivals, yet their foundational co-opetition allows them to jointly build and expand the digital economy, proving that collaboration at a foundational level can drive immense, mutual profit.

Case Study 2: Autonomous Driving Development – The Race to a Shared Future

The Challenge:

Developing fully autonomous driving (Level 5) technology is one of the most complex and capital-intensive engineering challenges of our time. It requires trillions of miles of testing, massive R&D investments in AI, sensors, mapping, and regulatory navigation. No single automaker or tech company possesses all the necessary resources, data, or expertise to bring this to fruition independently, safely, and quickly.

Co-opetition in Action:

In response, we’ve seen an unprecedented wave of co-opetition across the automotive and tech industries. Companies that are fierce competitors in vehicle sales or software platforms are collaborating on specific aspects of autonomous driving:

  • Joint Ventures for Tech Platforms: BMW and Mercedes-Benz (Daimler), for example, have collaborated on developing scalable platforms for automated driving, pooling resources for sensor fusion, perception, and decision-making software. They still compete on car design and brand, but share the foundational, high-cost R&D.
  • Data Sharing & Mapping Consortia: Companies are exploring ways to share vast amounts of road data to improve mapping and perception systems, recognizing that a better shared “map” benefits everyone in the industry.
  • Standardization Efforts: Competitors work together on industry standards for safety, testing protocols, and communication between autonomous vehicles, ensuring public trust and regulatory acceptance for the entire sector.

The Result:

This co-opetitive approach is accelerating the development of autonomous driving technology, making it safer and more viable for wider adoption. While each company still aims to differentiate its final product, the shared investment in foundational technology and standards reduces individual risk, speeds up learning, and helps build public confidence in a nascent industry. It’s a pragmatic recognition that some challenges are simply too big to tackle alone, and mutual benefit can be achieved even among the fiercest competitors.

Conclusion: Redefining Competition for a Collaborative Future

The outdated paradigm of pure, unadulterated competition is no longer sufficient for the complexities of the 21st century. The most forward-thinking, human-centered organizations understand that strategic co-opetition—the art of collaborating with rivals for mutual benefit—is a powerful engine for innovation, market expansion, and systemic problem-solving.

As leaders, our challenge is to identify those critical junctures where collaboration with competitors can expand the overall pie, mitigate shared risks, or accelerate progress on grand challenges. It requires courage, a strategic mindset, and a willingness to see beyond immediate rivalries to shared long-term prosperity. Embrace co-opetition, and you will unlock new frontiers of innovation, build more resilient industries, and collectively shape a more prosperous and sustainable future.

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: Unsplash

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Making Innovation the Way We Do Business (easy as ABC)

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Making Innovation the Way We Do Business (easy as ABC)

GUEST POST from Robyn Bolton

“We need to be more innovative.”

How many times have you said or heard that? It’s how most innovation efforts start. It’s a statement that reflects leaders’ genuine desire to return to the “good ol’ days” when the company routinely created and launched new products and enjoyed the publicity and growth that followed.

But what does it mean to be more innovative?

Innovation’s ABCs

A is for Architecture

Architecture includes most of the elements people think of when they start the work to become more innovative – strategy, structure, processes, metrics, governance, and incentives.

Each of these elements answers fundamental questions:

  • Strategy: Why is innovation important? How does it contribute to our overall strategy?
  • Structure: Who does the work of innovation?
  • Process: How is the work done?
  • Metrics: How will we know when we’re successful? How will we measure progress?
  • Governance: Who makes decisions? How and when are decisions made?
  • Incentives: Why should people invest their time, money, and political capital? How will they be rewarded?

When it comes to your business, you can answer all these questions. The same is true if you’re serious about innovation. If you can’t answer the questions, you have work to do. If you don’t want to do the work, then you don’t want to be innovative. You want to look innovative*.

B is for Behavior

Innovation isn’t an idea problem. It’s a leadership problem.

Leaders that talk about innovation, delegate it to subordinates and routinely pull resources from innovation to “shore up” current operations don’t want to be innovative. They want to look innovative.

Leaders who roll up their sleeves and work alongside innovation teams, ask questions and listen with open minds, and invest and protect innovation resources want to be innovative.

To be fair, it’s incredibly challenging to be a great leader of both innovation and operations. It’s the equivalent of writing equally well with your right and left hands. But it is possible. More importantly, it’s essential.

C is for Culture

Culture is invisible, pervasive, and personal. It is also the make-or-break factor for innovation because it surrounds innovation architecture, teams, and leaders.

Culture can expand to encourage and support exploration, creativity, and risk-taking. Or it can constrict, unleashing antibodies that swarm, suffocate, and kill anything that threatens the status quo.

Trying to control or change culture is like trying to hold water in your fist. But if you let go just a bit, create the right conditions, and wait patiently, change is possible.

Easy as 123

The most common mistake executives make in the pursuit of being “more innovative” is that they focus on only A or only B or only C.  But, as I always tell my clients, the answer is “and, not or.”

  1. Start with Architecture because it’s logical, rational, and produces tangible outputs like org charts, process flows, and instruction manuals filled with templates and tools. Architecture is comforting because it helps us know what to do and how.
  2. Use Architecture to encourage Behavior because the best way to learn something is to do it. With Architecture in place (but well before it’s finished), bring leaders into the work – talking to customers, sharing their ideas, and creating prototypes. When leaders do the work of innovation, they quickly realize what’s possible (and what’s not) and are open to learning how to engage (behave) in a way that supports innovation.
  3. Leverage Architecture and Behavior to engage Culture by creating the artifacts, rituals, and evidence that innovation can happen in your company, is happening and will continue to happen. As people see “innovation” evolve from a buzzword to a small investment to “the way we do business,” their skepticism will fade, and their support will grow.

Just like the Jackson 5 said

ABC, It’s easy a 123

Architecture, behavior, culture – they’re all essential to enabling an innovation capability that repeatedly creates new revenue.

And while starting with architecture, building new leadership behaviors, and investing until the culture changes isn’t easy, it’s the 123 steps required to “be more innovative.”

Image credit: Wikimedia Commons

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Building Seamless Human-AI Workflows

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Designing for Collaboration

Building Seamless Human-AI Workflows

GUEST POST from Art Inteligencia

The rise of artificial intelligence is no longer a futuristic fantasy; it’s a present-day reality reshaping our workplaces. However, the narrative often focuses on AI replacing human jobs. As a human-centered innovation thought leader, I believe the true power of AI lies not in substitution, but in synergy. The future of work is not human versus AI, but human with AI, collaborating in seamless workflows that leverage the unique strengths of both. Designing for this collaboration is the next great frontier of innovation.

The fear of automation is understandable, but it overlooks a critical point: AI excels at tasks that are often repetitive, data-intensive, and rule-based. Humans, on the other hand, bring creativity, critical thinking, emotional intelligence, and the ability to handle ambiguity and novel situations. The sweet spot lies in designing workflows where AI augments human capabilities, freeing us from mundane tasks and empowering us to focus on higher-level strategic thinking, innovation, and human connection. This requires a fundamental shift in how we design work, moving away from a purely task-oriented approach to one that emphasizes collaboration and shared intelligence.

Building seamless human-AI workflows is a human-centered design challenge. It demands that we deeply understand the needs, skills, and workflows of human workers and then thoughtfully integrate AI tools in a way that enhances their capabilities and improves their experience. This involves:

  • Identifying the Right Problems: Focusing AI on tasks that are truly draining human energy and preventing them from higher-value work. This means conducting thorough journey mapping and observational studies to pinpoint the most repetitive and tedious parts of a person’s workday. The goal is to eliminate friction, not just automate for automation’s sake.
  • Designing Intuitive Interfaces: Ensuring that AI tools are user-friendly and seamlessly integrated into existing workflows, minimizing the learning curve and maximizing adoption. The user should feel like the AI is a helpful partner, not a clunky, foreign piece of technology. The interaction should be conversational and natural.
  • Fostering Trust and Transparency: Making it clear how AI is making decisions and providing explanations when appropriate, building confidence in the technology. We must move away from “black box” algorithms and towards a model where humans understand the reasoning behind an AI’s suggestion, which is crucial for building trust and ensuring the human remains in control.
  • Defining Clear Roles and Responsibilities: Establishing a clear understanding of what tasks are best suited for humans and what tasks AI will handle, creating a harmonious division of labor. This requires ongoing communication and training to help people understand their new roles in a hybrid human-AI team. The human’s role should be elevated, not diminished.
  • Iterative Learning and Adaptation: Continuously monitoring the performance of human-AI workflows and making adjustments based on feedback and evolving needs. A human-AI workflow is not a static solution; it’s a dynamic system that requires continuous optimization based on both quantitative metrics and qualitative feedback from the people using it.

Case Study 1: Augmenting Customer Service with AI

The Challenge: Overwhelmed Human Agents and Long Wait Times

A large e-commerce company was struggling with an overwhelmed customer service department. Human agents were spending a significant amount of time answering repetitive questions and sifting through basic inquiries, leading to long wait times and frustrated customers. This was impacting customer satisfaction and agent morale, creating a vicious cycle of burnout and poor service.

The Human-AI Collaborative Solution:

Instead of simply replacing human agents with chatbots, the company implemented an AI-powered support system designed to augment human capabilities. An AI chatbot was deployed to handle frequently asked questions and provide instant answers to common issues, such as order status updates and password resets. However, when the AI encountered a complex or emotionally charged query, it seamlessly escalated the conversation to a human agent, providing the agent with a complete transcript of the interaction and relevant customer data, like past purchases and support history. The AI also assisted human agents by automatically summarizing past interactions and suggesting relevant knowledge base articles, allowing them to resolve issues more quickly and efficiently. The human agent’s role shifted from being a frontline information desk to a skilled problem-solver and relationship builder.

The Results:

The implementation of this human-AI collaborative workflow led to a significant reduction in average wait times (by over 30%) and a noticeable improvement in customer satisfaction scores. Human agents were freed from the burden of repetitive tasks, allowing them to focus on more complex and nuanced customer issues, leading to higher job satisfaction and lower burnout rates. The AI provided efficiency and speed, while the human agents provided empathy and creative problem-solving skills that the AI couldn’t replicate. The result was a superior customer service experience that leveraged the strengths of both humans and AI, creating a powerful synergy that improved the entire customer journey.

Key Insight: AI can significantly improve customer service by handling routine inquiries, freeing up human agents to focus on complex issues and build stronger customer relationships.

Case Study 2: Empowering Medical Professionals with AI-Driven Diagnostics

The Challenge: Improving Diagnostic Accuracy and Efficiency

Radiologists in a major hospital were facing an increasing workload, struggling to analyze a high volume of medical images (X-rays, MRIs, CT scans) while maintaining accuracy and minimizing diagnostic errors. This was a demanding and pressure-filled environment where human fatigue could lead to oversights with potentially serious consequences for patients. The backlog of images was growing, and the time a radiologist could spend on each case was shrinking.

The Human-AI Collaborative Solution:

The hospital integrated AI-powered diagnostic tools into the radiologists’ workflow. These AI algorithms were trained on vast datasets of medical images to identify subtle anomalies and patterns that might be difficult for the human eye to detect, acting as a highly efficient “second pair of eyes.” For example, the AI would highlight a small nodule on a lung scan, prompting the radiologist to take a closer look. However, the AI did not replace the radiologist’s expertise. The AI provided suggestions and highlighted areas of concern, but the final diagnosis and treatment plan remained firmly in the hands of the human medical professional. The radiologist’s role evolved to one of critical judgment, combining their deep clinical knowledge with the AI’s data-processing power. The AI’s insights were presented in a clear, easy-to-understand interface, ensuring the radiologist could quickly integrate the information into their workflow without feeling overwhelmed.

The Results:

The implementation of AI-driven diagnostics led to a significant improvement in diagnostic accuracy (reducing false negatives by 15%) and a reduction in the time it took to analyze medical images. Radiologists reported feeling more confident in their diagnoses and experienced reduced levels of cognitive fatigue. The AI’s ability to process large amounts of data quickly and identify subtle patterns complemented the human radiologist’s clinical judgment and contextual understanding. This collaborative workflow enhanced the efficiency and accuracy of the diagnostic process, ultimately leading to better patient outcomes and a more sustainable workload for medical professionals. The innovation wasn’t in the AI alone, but in the thoughtful design of the human-AI partnership.

Key Insight: AI can be a powerful tool for augmenting the capabilities of medical professionals, improving diagnostic accuracy and efficiency while preserving the crucial role of human expertise and judgment.

The Human-Centered Future of Work

The examples above highlight the immense potential of designing for seamless human-AI collaboration. The key is to approach AI not as a replacement for human workers, but as a powerful partner that can amplify our abilities and allow us to focus on what truly makes us human: our creativity, our empathy, and our capacity for complex problem-solving. As we continue to integrate AI into our workflows, it is crucial that we maintain a human-centered perspective, ensuring that these technologies are designed to empower and enhance the human experience, leading to more productive, fulfilling, and innovative ways of working. The future of work is collaborative, and it’s up to us to design it thoughtfully and ethically.

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: 1 of 900+ FREE quote slides available at <a href=”http://misterinnovation.com” target= “_blank”>http://misterinnovation.com</a>

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Four Things You Need to Succeed in The Good Place

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Four Things You Need to Succeed in The Good Place

GUEST POST from Robyn Bolton

You have, no doubt, seen the design squiggle. The ubiquitous scribble is all loopy and knotty in the beginning until it finally sorts itself into a straight line by the end.

It illustrates the design process – “the journey of researching, uncovering insights, generating creative concepts, iteration of prototypes and eventually concluding in one single designed solution” – and its elegant simplicity has led it to be adopted by all sorts of other disciplines, including innovation.

But when I showed it to a client, her immediate response was, “It’s Jeremy Bearimy!”*

Wha????

And that is how I discovered The Good Place, a sitcom about four humans who die, go to The Good Place, and struggle to learn what it means to be good.

The show, created by Michael Schur of The Office and Parks and Recreation fame, is a brilliant treatise on ethics and moral philosophy. It also contains valuable wisdom about what innovators need to succeed.

Questions

With all due respect, “It’s the way it’s always been done” is an excuse that’s been used for hundreds of years to justify racism, misogyny…

Tahani Al-Jamil

This quote was a gut punch from the show’s fourth and final season. As innovators, we often hear people ask why change is needed. “If it ain’t broke, don’t fix it!” they proclaim.

But sometimes it is broke, and we don’t know it. At the very least, it can always be better.

So, while “it’s the way it’s always been done” at your company probably (hopefully) doesn’t include racism, misogyny, sexism, and other genuinely horrible things, framing the status quo as an enabler of those horrors is a harsh wake-up call to the dangers of an unquestioning commitment to continuing to do things the way they’ve always been done.

Decisions (not just Ideas)

If you’re always frozen in fear and taking too long to figure out what to do, you’ll miss your opportunity, and maybe get sucked into the propeller of a swamp boat.

Jason Mendoza

Even though Jason Mendoza is the resident idiot of The Good Place, he occasionally (and very accidentally) has moments of profound insight. This one to a situation that innovators are all too familiar with – analysis paralysis.

How often do requests for more data, more (or more relevant) benchmarks, or input from more people slow down decisions and progress? These requests are rarely rooted in doubt about the data, benchmarks, or information you presented. They are rooted in fear – the fear of making the wrong decision, being blamed or shamed, and losing a reputation or even a job.

But worse than being wrong, blamed, shamed, or unemployed is missing an opportunity to radically improve your business, team, or even the world. It’s the business equivalent of getting sucked into the propeller of a swamp boat.

Actions (not just decisions)

In football, trying to run out the clock and hoping for the best never works. It’s called “prevent defense.” You don’t take any chances and just try and hold on to your lead. But prevent defense just PREVENTS you from winning! It’s always better to try something.

Jason Mendoza

Jason does it again, this time invoking a lesson learned from his beloved Jacksonville Jaguars.

Few companies publicly admit to adopting a prevent defense, even though most companies engage in it. They play prevent defense when they don’t invest in innovation, focus exclusively on maintaining or incrementally improving what they currently do, or confine their innovation efforts to events like hackathons and shark tanks.

Incremental improvements and innovation theater keep you competitive. But they won’t get you ahead of the competition or make you a leader in your industry. In fact, they prevent it by making you feel good and safe when you’re really just running out the clock.

Perseverance

Come on, you know how this works. You fail and then you try something else. And you fail again and again, and you fail a thousand times, and you keep trying because maybe the 1,001st idea might work. Now, I’m gonna and try to find our 1,001st idea.

Michael

It’s hard to explain this quote without sharing massive spoilers, so let’s just say that The Good Place is an experiment that fails. A lot.

But it’s also an experiment that generates profound learning and universe-altering changes, things that would not have been possible without the failures.

Yes, smart innovators know when to kill a project. They also know when to try one more time. Wise innovators know the difference.

One final bit of wisdom

Innovation is hard. You will run into more resistance than expected, and things will rarely work out as planned. As long as you keep trying and learning, you won’t fail.

To paraphrase Jason Mendoza (again), you’re not a failed innovator, you’re pre-successful.

*For those of you who are, like I was, unfamiliar with Jeremy Bearimy, here’s a clip explaining it (WARNING: SPOILERS)

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Quantifying the Value of Empathy and Collaboration

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The Untapped Metrics

Quantifying the Value of Empathy and Collaboration - The Untapped Metrics

GUEST POST from Chateau G Pato

In the data-driven world of modern business, we have become masterful at measuring the tangible. We track ROI, KPIs, and market share with an almost religious fervor. But what if the most powerful drivers of innovation and long-term success are the very things we struggle to quantify? This is the paradox of empathy and collaboration—they are the invisible forces that fuel human-centered innovation, yet they are rarely captured on a dashboard. It’s time to move beyond this oversight and develop a new framework for measuring what truly matters.

We’ve long held a bias toward what’s easy to count: revenue growth, cost reduction, and time-to-market. These metrics are important, but they only tell a part of the story. They measure the output of an organization, but they fail to capture the health of the engine—the human element. A company with high empathy and strong collaboration is an engine that is well-oiled, resilient, and primed for continuous innovation. A company without it is a machine running on fumes, prone to burnout, internal conflict, and a failure to connect with its customers.

The challenge lies in making the intangible tangible. We must develop a new set of metrics that allow us to gauge the strength of our human connections. This isn’t about replacing traditional business metrics; it’s about complementing them with a deeper understanding of the organizational and cultural health that underpins all successful change. By actively measuring and managing the soft skills that drive hard results, we can create a more powerful and sustainable innovation culture. The metrics we need to tap into include:

  • Empathy Quotient (EQ) Scores: Measuring the ability of teams to truly understand and feel the customer’s experience. This can be done through surveys, observational studies, and qualitative feedback.
  • Collaboration Velocity: Tracking the speed and effectiveness with which diverse teams can come together to solve a problem. This involves analyzing communication patterns, project handoffs, and feedback loops.
  • Psychological Safety Index: Gauging whether employees feel safe to take risks, voice dissenting opinions, and admit mistakes without fear of retribution. This is foundational for a truly innovative culture.
  • Customer Experience (CX) Depth: Moving beyond simple satisfaction scores to understand the emotional journey of the customer and the depth of their connection to your brand.
  • Cross-Functional Innovation Rate: Measuring the percentage of successful innovations that originated from collaboration between different departments or teams.

Case Study 1: The Healthcare Innovator and Empathy as a Metric

The Challenge: A Disconnected Patient Experience

A large hospital system was struggling with declining patient satisfaction scores, even though their clinical outcomes were excellent. The data showed that patients felt disconnected and unheard during their visits. The problem wasn’t a lack of medical expertise, but a lack of empathy in the patient-facing process. The organizational culture was focused on efficiency and procedures, with little attention paid to the emotional experience of the patient.

The New Metric and Innovation:

The hospital’s leadership team, in a human-centered change initiative, decided to make **Empathy** a core metric. They created an “Empathy Index” by integrating a new set of questions into patient surveys, focusing on qualitative feedback about how they were listened to and how well their concerns were addressed. They also conducted observational studies to see how staff interacted with patients in real-time. This new metric, along with qualitative feedback, led to a simple but profound innovation: the “Patient Story” program. Staff meetings and training sessions were no longer just about protocols; they began with a personal story from a patient or a family member, reminding the staff of the human impact of their work. Furthermore, they launched a “Listening Skills” training program, explicitly teaching doctors and nurses how to actively listen and respond with empathy.

The Results:

Within a year, the hospital’s patient satisfaction scores saw a dramatic turnaround. The Empathy Index showed a significant increase, and the qualitative feedback was overwhelmingly positive. By making empathy a measurable and celebrated metric, the hospital shifted its culture, leading to a more connected patient experience and, ultimately, better health outcomes. It proved that a soft skill could drive hard, measurable business results.

Key Insight: By creating a quantifiable metric for empathy, organizations can drive cultural and behavioral changes that lead to significant improvements in customer experience and business results.

Case Study 2: The Tech Giant’s Collaboration Velocity

The Challenge: Siloed Innovation and Slow Development

A leading technology company was an acknowledged innovator, but its sheer size had created a problem: its teams were working in silos. A new product idea would often get bogged down as it moved from engineering to marketing to sales, with each department operating on its own timeline and with its own metrics. The result was a slow, inefficient development cycle and a high percentage of promising projects being abandoned due to a lack of cross-functional alignment.

The New Metric and Innovation:

The company’s leadership team recognized that a lack of collaboration was their biggest barrier to growth. They introduced a new metric: **Collaboration Velocity**, which measured the speed at which cross-functional teams could move a project from ideation to launch. They tracked the number of inter-departmental meetings, the frequency of cross-team knowledge sharing, and the speed of project handoffs. This data revealed the key bottlenecks. As an innovation, they introduced a “Fusion Team” model. Instead of having a project move sequentially through departments, a small, multi-disciplinary team with representatives from engineering, design, and marketing was assigned to a project from day one, with shared goals and metrics. Furthermore, they used a “Project Pulse” tool to track the sentiment and psychological safety within these teams, ensuring the collaboration was healthy and productive.

The Results:

The results were immediate and impactful. The company’s Collaboration Velocity improved by over 40% in the first year. The Fusion Teams were able to launch new products in half the time of the traditional model, with far greater internal alignment and market success. The company’s overall innovation output increased, and the new metric gave leaders a clear, data-driven way to prove the value of breaking down silos and investing in collaborative team structures. The intangible value of collaboration became a powerful, measurable driver of competitive advantage.

Key Insight: Measuring the health and speed of collaboration provides a clear path to breaking down organizational silos and accelerating the pace of innovation.

The Path Forward: A New Era of Measurement

The future of innovation belongs to those who are brave enough to expand their definition of what can be measured. We must stop treating empathy and collaboration as unquantifiable “soft skills” and start seeing them as the strategic, measurable assets they truly are. By developing and integrating these new metrics into our dashboards, we are not just adding to our data; we are gaining a richer, more holistic understanding of our organizational health. This allows us to make more informed decisions, nurture a culture of trust and psychological safety, and, most importantly, build a more resilient and human-centered engine for continuous innovation. It’s time to stop flying blind and start quantifying the forces that are truly driving us forward.

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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Innovation Without Borders

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Building a Collaborative Ecosystem

Innovation Without Borders

GUEST POST from Art Inteligencia

Imagine a single tree, however majestic, trying to thrive in a vast, arid desert. Its growth is limited by its solitary access to resources. Now, picture a thriving rainforest, a vibrant tapestry of interconnected life, where every organism contributes to a larger, self-sustaining system. This ecological metaphor vividly illustrates the profound shift occurring in the world of innovation.

For too long, organizations treated innovation like that lone tree, fiercely guarding internal R&D, proprietary patents, and closely held knowledge. While internal capabilities remain crucial, this siloed approach is no longer sufficient to navigate the exponential complexity and speed of today’s challenges. As a human-centered change and innovation thought leader, I’ve observed this fundamental truth: the future of breakthrough innovation isn’t born from isolated genius, but from the power of interconnectedness. It’s about cultivating a vibrant, human-centric innovation ecosystem – a collaborative network that gracefully transcends traditional organizational boundaries.

An innovation ecosystem is a dynamic web of diverse entities – startups, academic institutions, research labs, other companies (even “co-opetitors”), government bodies, and individual experts – all interacting, sharing, and co-creating value. It’s a powerful acknowledgment that no single organization possesses all the talent, knowledge, or perspectives needed to tackle humanity’s grandest challenges, or even to sustain its competitive edge in a rapidly evolving market. By intentionally building and nurturing these external connections, organizations can unlock exponential creativity, accelerate problem-solving, and access capabilities far beyond their internal reach, fostering a collective intelligence that is truly unstoppable.

Why Innovation Ecosystems Are the New Competitive Arena

Embracing an open, collaborative approach to innovation offers transformative benefits that siloed approaches simply cannot match:

  • Unlocking Radical Diversity: Ecosystems seamlessly integrate varied backgrounds, disciplines, cultures, and experiences. This rich tapestry of perspectives sparks truly novel thinking, uncovers critical blind spots, and generates solutions that are robust and globally relevant.
  • Accelerating Breakthroughs: Complex, multi-faceted challenges can be efficiently broken down and tackled simultaneously by multiple specialized partners. This significantly compresses discovery, research, and development cycles, bringing solutions to market at unprecedented speed.
  • De-risking & Optimizing Resources: Innovation is inherently risky and resource-intensive. By distributing the burden of R&D investment and intellectual exploration across multiple partners, individual risk is mitigated, and collective resources (financial, intellectual, and human) are leveraged with far greater efficiency.
  • Fueling New Business Models & Value: Interactions within ecosystems frequently spark the discovery of entirely new value propositions, untapped market segments, and innovative collaborative business models that would be impossible to conceive or execute in isolation.
  • Attracting and Retaining Elite Talent: Organizations known for their open, collaborative, and purpose-driven ecosystems become irresistible magnets for top talent. The most ambitious individuals seek impactful work, diverse learning opportunities, and the chance to contribute to solutions far greater than any single entity can achieve.

Case Study 1: LINX Consortium – The Power of Shared Scientific Pursuit

The LINX Consortium: Forging the Future of Semiconductors Together

The semiconductor industry operates at the bleeding edge of science and engineering, demanding continuous breakthroughs in materials and manufacturing. Developing these next-generation components often requires astronomical resources and expertise far beyond what even the largest corporations can command internally. The LINX (Laboratory for Innovation in Nanomaterials and X-ray Technology) consortium, a groundbreaking collaboration between a leading European semiconductor manufacturer and several world-class universities and research institutes, epitomizes a successful innovation ecosystem.

  • The Challenge: To rapidly develop and scale next-generation nanomaterials and advanced X-ray technologies, crucial for future semiconductor devices. This required deep scientific insight, specialized equipment, and interdisciplinary collaboration that no single entity possessed.
  • Ecosystem in Action: LINX pooled financial resources, shared access to highly specialized laboratory facilities and cutting-edge analytical tools. University researchers brought foundational scientific breakthroughs and theoretical models, while the industrial partner provided real-world manufacturing challenges, market insights, and engineering validation. Crucially, they fostered a culture of radical transparency and mutual learning, openly sharing pre-competitive research results to accelerate collective progress.
  • The Outcome: LINX significantly accelerated the development of novel materials with superior properties, leading directly to breakthroughs in chip performance and energy efficiency that would have been unattainable for any single participant within the same timeframe and cost. Moreover, the collaborative environment nurtured a new generation of interdisciplinary talent, ready to drive future innovation.

**The Lesson:** For grand scientific and technological challenges, a shared vision and pooled intellectual resources within an ecosystem lead to accelerated breakthroughs beyond individual capacity.

Case Study 2: Nespresso – Brewing a Circular Economy

Nespresso’s Circular Economy Collaborations: Transforming Waste into Value

Nespresso, a global pioneer in portioned coffee, faced a formidable sustainability dilemma: how to effectively recycle its used aluminum coffee capsules on a massive, global scale. Building the necessary infrastructure independently was simply impossible, given the diverse waste management systems across different countries and cities. Their ingenious solution was to construct a sprawling, multi-stakeholder innovation ecosystem centered on circularity.

  • The Challenge: Establish a robust, globally accessible recycling infrastructure for used aluminum coffee capsules, overcoming complex logistical hurdles and ensuring high consumer participation. This was a critical challenge for their brand reputation and long-term sustainability.
  • Ecosystem in Action: Nespresso strategically partnered with a diverse array of entities: local governments, municipal waste management companies, postal services, and even other private sector recycling firms. They innovated jointly to develop diverse collection points, including dedicated Nespresso recycling bags, drop-off locations at boutiques, and even convenient postal collection services. They collaborated with specialized recycling plants to develop bespoke processes that efficiently separated aluminum from coffee grounds (which were then composted into fertilizer). Beyond recycling, they also partnered with organizations like the Rainforest Alliance to ensure sustainable, ethical sourcing of coffee beans, embedding their environmental commitment throughout their entire value chain.
  • The Outcome: This expansive, collaborative network allowed Nespresso to achieve remarkably high recycling rates in numerous markets, dramatically reducing waste and landfill impact. This ecosystem not only solved a critical environmental challenge but also significantly bolstered Nespresso’s brand reputation as a leader in sustainability, offering a tangible value proposition for environmentally conscious consumers.

**The Lesson:** Tackling global sustainability challenges often requires a collaborative ecosystem, transforming potential liabilities into competitive advantages through shared responsibility and innovative partnerships.

Building Your Collaborative Innovation Ecosystem: A Human-Centric Blueprint

Creating and nurturing a thriving innovation ecosystem extends far beyond mere contractual agreements. It demands a deliberate, human-centered approach to collaboration, built on trust and shared purpose:

  1. Define Your Collective North Star (Compelling Shared Purpose): Before partnerships, identify the grand challenge or common vision that genuinely unites potential collaborators. A clear, inspiring shared purpose is the magnetic force that draws in diverse partners and aligns their efforts.
  2. Cultivate Deep Trust and Radical Transparency: Foster an environment of open communication, shared objectives, and a willingness to be vulnerable about challenges and successes. Trust is the most vital currency in any collaborative endeavor, nurtured through consistent, ethical interactions.
  3. Actively Seek & Embrace Diverse Perspectives: Deliberately seek partners who bring fundamentally different skills, knowledge bases, cultural backgrounds, and ways of thinking. The richer the diversity of human intellect, the more robust and creative the solutions will be.
  4. Establish Agile Governance & Clear Roles: While valuing flexibility, a well-defined, lightweight framework for decision-making, intellectual property sharing, and conflict resolution is essential. Clarity minimizes friction and maximizes productive output.
  5. Design for Human Connection & Open Communication: Beyond formal meetings, create intentional platforms and opportunities for informal networking, spontaneous idea exchange, and relationship building between individuals from different partner organizations.
  6. Measure Collective Impact, Not Just Individual Gains: Shift your focus from isolated metrics to celebrating shared successes and synergistic value creation. Emphasize how the ecosystem as a whole is achieving something greater than the sum of its parts.
  7. Lead by Example (Be the Ultimate Partner): Demonstrate genuine reciprocity, flexibility, active listening, and an unwavering commitment to mutual benefit. Your behavior will set the tone for the entire ecosystem.

In an era where no organization can afford to innovate in isolation, the capacity to build, participate in, and orchestrate vibrant, human-centered innovation ecosystems will be the ultimate differentiator. It’s a profound shift from competitive isolation to expansive, collaborative co-creation, unlocking a future of limitless possibilities for human progress and shared prosperity.

“If you want to go fast, go alone. If you want to go far, go together.”
– African Proverb

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: Gemini

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People Drive the World-Technology as a Co-Pilot via Center of Human Compassion

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People Drive the World-Technology as a Co-Pilot via Center of Human Compassion

GUEST POST from Teresa Spangler

People at the Center – Technology as a Co-Pilot

Are people at the center of your innovation and new product plans? Have we made people the center of all things digital? Are human’s and our environment the center of the new world entering the 4th Industrial Revolution? When innovation is during groundbreaking disruptive inventions or whether innovation is iterating into new products… what is placed at the center of your strategies? What are the reasons for these new inventions?

So much is at stake, as the world turns to being driven by AI, humanoids, rockets’ red glare searching for new lands to inhabit, games and more games feeding our brains with virtual excitement and stimulation, devices galore on our bodies, in our hands, in our homes helping us navigate our every move and in many ways directing us on how to think. The acceleration of digital permeating our lives is mind boggling. The news we are fed, seemingly unbiased, the product advertisements that sneak into our feeds, the connections via too many social and work-related networks that appear all too promising and friendly too is overwhelming. Technology is encompassing our lives!

The Power of Technology

Don’t get me wrong, I love technology for all the positive it contributes to the world. Technology is allowing individuals to create! To create and earn! To take control of their lives and build meaningful endeavors. The creation of TIME and SPACE to live how we to live has been a major outcome of

1. technology but also 2. the pandemic.

Let’s explore the creator economy which has experienced an explosion of late. As referenced in the Forbes article, The Biggest Trends For 2022 In Creator Economy And Web3, by Maren Thomas Bannon, Today, the total size of the creator economy is estimated to be over $100 billion and 50 million people worldwide consider themselves creators. Creators will continue to bulge out of the global fabric as individuals seek to augment their incomes or escape the confines or rigged corporate cultures. Technology is enabling creators no doubt!

Technology is also allowing forward acting organizations to scale growth at unprecedented speeds. Let’s look at a recent survey conducted by Accenture

Curious about the effects of the pandemic, we completed a second round of research in early 2021 and discovered the following:

  1. Technology Leaders have moved even further ahead of the pack and have been growing at 5x the rate of Laggards on average in the past three years.
  2. Among the “Others” there is a group of organizations—18% of the entire sample—that has been able to break previous performance barriers—the Leapfroggers.

Let’s look at a recent survey conducted by Accenture

Curious about the effects of the pandemic, we completed a second round of research in early 2021 and discovered the following:

  1. Technology Leaders have moved even further ahead of the pack and have been growing at 5x the rate of Laggards on average in the past three years.
  2. Among the “Others” there is a group of organizations—18% of the entire sample—that has been able to break previous performance barriers—the Leapfroggers.

Of course, so much technology is doing good things for the world. 3-D printing is emerging at the center of homelessness. As reported in the #NYTIMES, this tiny village in Mexico is housing homeless people. The homes were built using an oversized 3-D printer.

Another example positive outcomes of technology is the emergence of over-the-counter hearing devices. Fortune Business Insights estimates the global hearing aids market is projected to grow from $6.67 billion in 2021 to $11.02 billion by 2028 at a CAGR of 7.4% in forecast period, 2021-2028.

These devices, until this year, were regulated to being sold by medical professionals at, for the majority of population in need, very high prices $2000 to $5000+ per hearing aid. Yes typically you need two. But recent innovations in ear buds and bluetooth are allowing other technology companies into the game! Take Bose for example, the FDA recently approved Bose SoundControl Hearing Aids to be purchased on their website for $895/pair. No need for a hearing professional. This significantly changes the playing field and opens the doors for so many that have put off purchases (of these not covered by insurance by the way) devices.

Entertainment & leisure travel is going to a whole new level with the help of technology. It’s wonderful that anyone with connectivity and travel the world and explore via Virtual Reality. Here are 52 places you can explore in the comfort of your home shared by NY Times. Many of us attended conferences and events over the past two years virtually. We’ll see an exponential growth in virtual reality experiences in the coming year.

So why am I talking about creating a Center for Human Compassion if so much good is really coming out of technology? Because many of the outcomes are also unrealized and not anticipated or at least publicized to prepare people. It is essential for companies, technologists, and product teams to consider the consequences of new technologies. Not as an afterthought but at the forethought, from inception of ideas we must ask what are the downsides? How will people be affected? What could happen?

The quote below is taken from the World Economic Forum report, Positive AI Economic Futures

machines will be able to do most tasks better than humans. Given these sorts of predictions, it is important to think about the possible consequences of AI for the future of work and to prepare for different scenarios. Continued progress in these technologies could have disruptive effects: from further exacerbating recent trends in inequality to denying more and more people their sense of purpose and fulfillment in life, given that work is much more than just a source of income.

WeForum brings 150 thought leaders together to share thoughts on how we create an AI world we want. For all of AI’s good, there are potentials for negative outcomes.

Let’s take the military’s fight again hobbyists and drones. In the recent article from WSJ, The Military’s New Challenge: Defeating Cheap Hobbyist Drones, how much energy was placed on Human Compassion if drone technologies, IoT and AI got in the wrong hands?

The U.S. is racing to combat an ostensibly modest foe: hobbyist drones that cost a few hundred dollars and can be rigged with explosives. @WSJ

I feel certain there was some consideration but not enough to draw out possible negative impacts and how to mitigate them before they could even start. Did we really put people at the center of what is possible with drone technologies? What do you think?

This is no easy task. We know what is good for us can turn to bad for us when in the wrong hands, or if it’s not moderated to healthy limits. How do we help facilitate a more compassionate relationship with technology and put people at the center?

Here are four strategies to ensure you are keeping people at the center of your innovation, new products and technology development efforts.

  1. Create a Center of Human Compassion, or People Centered Technology Consortium, or what ever you wish to brand your initiative. Select trusted advisors from external (customers, partners…) and a select group of internal stake holders to join your collaborative to gather input, feedback and push back!
  2. Discuss with your trusted group very early on. Gamify initiatives around gathering what ifs! Anticipating the worst you will plan better for the best! (leaving the hope out)
  3. Build a continuous feedback loop. It is important that insights and scenarios are revisited and rehashed over and over again.
  4. Join other consortiums and get involved with AI and tech for good initiatives. If you can’t find ones you feel are of value to you and your company, start one!

Mantra for the year: #lucky2022 but not without work and placing people front and center of plans will good fortune and luck come for the masses.

As always, reach out if you have ideas you’d like to share or questions you’d like to discuss!

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6 Ways to Leverage Virtual Tools to Create an Innovation Culture

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6 Ways to Leverage Virtual Tools to Create an Innovation Culture

GUEST POST from Soren Kaplan

Culture is a key success factor for every team and organization. Shape it to get more innovation, even from your remote workforce.

Companies like Facebook, Twitter, Box, Slack, and Salesforce all say that employees can keep working remotely well into next year or even forever. We’re seeing a sea change toward remote work and how to make it more fun and effective. But what happens to the culture of teams and organizations in a virtual world?

In my book, The Invisible Advantage: How to Create a Culture of Innovation, I define culture as “the norms and values that shape behavior.” If you want to change culture to get more innovation, for example, you need to change norms and values toward things that inspire people to generate ideas, prioritize the best ones, test them out, and implement them using customer input. So how do you do that when you’re working remotely and it’s impossible to gather around the water cooler?

To change norms and values, you need to first change your own behavior, since our behavior is what ultimately communicates and reinforces what’s important. If you want more innovation, you need to do things that demonstrate you’re serious about soliciting ideas and doing something with them.

Here are six things you can do to get more innovation from your remote team in today’s virtual world:

1. Find Problems to Fuel Ideas

Innovation starts with problems. Ineffective leaders ignore problems and sweep them under the carpet. Innovative leaders love problems because they’re the basis for new ideas. Every month, ask your team to share the toughest problems they’re facing due to working remotely or in their work serving customers. Keep a running list that you can continually prioritize. The result: People see you’re serious about addressing real issues and they don’t hold back sharing problems that, if solved, will make a big different for the business.

2. Bring on Virtual Brainstorming

Brainstorming is a simple process that includes generating lots of ideas, prioritizing them, and the selection the best of the best to pursue. Get a tool specifically designed for online brainstorming, like Mural, Lucidchart, or Ideaboardz. The result: People learn the brainstorming process and your team will have online tools that are just as effective as stickies on a white board.

3. Tell Symbolic Stories

People remember stories. And stories contain messages about what’s important and why. Look for current or past examples of “innovation” from your team, other teams in your organization, or even outside your company. Find stories about how people overcame physical distance or used technology to innovate. Discuss what led to success and how you can do similar things as a team working remotely. The result: People internalize what’s important and why and will re-tell the same stories to others as part of reinforcing culture.

4. Pair Up to Show Up

Working remotely can feel isolating. Pair people to tackle a tough idea or problem. Give pairs time to work together and then report back progress. Use the larger team to provide feedback and support each pair’s efforts. Run virtual “innovation synch-ups,” where pairs share their ideas with the larger team and get feedback. The result: Pairing people up builds relationships infused with the values of innovation while ensuring more robust results.

5. Count It to Make It Count

You get what you measure. Set a target to collect some number of new ideas per month (like 15-20) and successfully implement 1-2 as a team. Track and report on progress regularly so everyone knows the targets are serious success measures. Create an online dashboard that you that you use to track progress from meeting to meeting. The result: People see the importance of quantifiable results and feel accountable to them.

6. Celebrate Wins to Create a Winning Team

Recognition of achievements and team celebrations are as important as ever. When someone delivers an innovation–whether creating a new product, service, process, or anything else–recognize them publicly. During virtual team meetings, set aside time for “virtual awards” to recognize those who have made valuable contributions. Email or snail mail a certificate or gift card in advance so recipients have real-world awards in their possession during the ceremony. The result: People understand the innovative behavior and results that are valued and will do what they can to deliver more of it themselves.

As I wrote in my last article, business should ideally keep going and growing, even in a pandemic or economic downturn. Innovation shouldn’t stop either. If you’re not innovating, it’s likely someone else is. And it’s likely your competition. In today’s world, everything eventually gets disrupted. Your culture is ultimately your only sustainable competitive advantage-even in a virtual world. Shape yours today.

If you want to see how you can build tools & resources to support your remote team, visit Praxie.com.

Image credits: Getty Images (acquired by Soren Kaplan)

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

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