Techniques for Effective User Research

Techniques for Effective User Research

GUEST POST from Chateau G Pato

In today’s fast-paced, technology-driven world, understanding your users is crucial. Successful innovation requires insights into users’ needs, behaviors, and challenges. Effective user research uncovers these insights and informs design and business decisions. Here, I’ll share some essential techniques for conducting impactful user research, illustrated with real-world case studies.

Why User Research Matters

Before diving into techniques, let’s understand why user research is essential. It helps in:

  • Identifying user needs: Understand what users want and need from your products or services.
  • Enhancing user experience: Create intuitive and enjoyable experiences by aligning with user expectations.
  • Reducing risk: Avoid costly design flops by validating concepts before launch.

Key User Research Techniques

1. Interviews

Interviews are one of the most direct ways to gather rich, qualitative data. Conducting one-on-one discussions allows for in-depth exploration of user perspectives.

Case Study: HealthTech Startup

A healthtech startup utilized interviews to understand how patients manage chronic conditions. By conducting interviews with patients, caregivers, and healthcare providers, they discovered barriers in medication adherence. Insights gained informed the design of a reminder and support feature within their app, leading to increased user engagement and improved health outcomes.

2. Surveys and Questionnaires

Surveys provide quantitative data that can represent broader user trends. When well-designed, they offer valuable insights into user preferences and satisfaction levels.

3. Observational Studies

Observational studies involve watching users interact with products in natural settings. This technique uncovers real-world usage patterns and potential areas for improvement.

Case Study: Retail Experience

A major retailer used observational studies to analyze customer behavior in their stores. By observing shoppers, they identified pain points in store navigation and checkout processes. This led to strategic store layout changes and self-checkout technology implementations, enhancing convenience and boosting customer satisfaction.

4. Usability Testing

Usability testing evaluates how easily users can navigate a product. By having users perform tasks while observing their interactions, designers can identify and fix usability issues.

5. Focus Groups

Focus groups bring diverse users together to discuss their experiences. Facilitators can explore different perspectives in a dynamic group setting, uncovering collective insights.

Best Practices for Conducting User Research

  • Clearly define objectives: Know what you aim to learn to select appropriate research methods.
  • Recruit the right participants: Ensure your sample accurately represents your target audience.
  • Maintain ethical standards: Prioritize participant privacy and obtain informed consent.
  • Iterate and refine: Use findings to refine hypotheses and improve research processes.

Conclusion

Effective user research is pivotal in crafting solutions that resonate with users and drive business success. By applying these techniques thoughtfully, businesses and innovators can create products that truly meet user needs, leading to greater user satisfaction and loyalty.

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

Image credit: Unsplash

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Scrum or Kanban: Which is Right for Your Team?

Scrum or Kanban: Which is Right for Your Team?

GUEST POST from Art Inteligencia

In the dynamic world of Agile project management, Scrum and Kanban are two popular methodologies. Both frameworks help teams work more efficiently, but which one is right for your team? Let’s dive into the characteristics of each and examine real-world case studies to help you make an informed decision.

Understanding Scrum

Scrum is a structured framework that promotes teamwork, accountability, and iterative progress toward a well-defined goal. It consists of time-boxed iterations called sprints, typically lasting two to four weeks. Key roles in Scrum include the Scrum Master, Product Owner, and Development Team. Scrum ceremonies such as sprint planning, daily stand-ups, sprint reviews, and retrospectives are integral to the process.

Understanding Kanban

Kanban, on the other hand, is a visual method for managing workflows with an emphasis on continuous delivery. Unlike Scrum, it doesn’t prescribe fixed roles or timeframes. Work items are visualized on a Kanban board, which helps teams manage the flow and limit work in progress (WIP) to enhance productivity and quality.

Case Study 1: Tech Innovators, Inc.

Tech Innovators, Inc., a software development firm, initially adopted Scrum to tackle complex software projects. The structure allowed them to deliver high-quality software consistently. With well-defined sprint goals and regular feedback loops, the team improved their collaboration and accountability. However, as the team matured and gained confidence, they realized that some aspects of Scrum were constraining.

They transitioned to Kanban for its flexibility in handling unexpected work and continuous delivery. With Kanban, they could prioritize tasks dynamically and respond better to customer needs. This shift enabled Tech Innovators to reduce their lead time by 30% and significantly improve customer satisfaction.

Case Study 2: Creative Market Agency

Creative Market Agency, specializing in digital marketing campaigns, had complex, non-linear projects with frequent changes in scope. Initially, they used Kanban to manage their ever-changing project requirements. The visual nature of Kanban suited their needs as it provided transparency and adaptability.

However, as projects grew larger and involved more stakeholders, the lack of structure became a bottleneck. They switched to Scrum to impose a necessary order and discipline. The cadence of sprints, coupled with defined roles, helped the agency streamline their processes, improve predictability, and enhance stakeholder communication.

Key Considerations

Deciding between Scrum and Kanban depends on your team’s specific needs and project dynamics:

  • Structure vs. Flexibility: Scrum provides structure with fixed roles and sprints, while Kanban offers more flexibility.
  • Workload and Prioritization: If managing workload and prioritizing tasks dynamically is crucial, Kanban might be more suitable.
  • Project Complexity: For complex projects needing alignment and stakeholder engagement, Scrum’s structured approach is beneficial.
  • Team Maturity: Mature teams comfortable with autonomy might thrive in a Kanban environment, whereas less experienced teams may benefit from Scrum’s guidance.

Conclusion

Both Scrum and Kanban have their strengths. Your choice should align with your team’s goals, project requirements, and maturity. Whether you need Scrum’s structured sprints or Kanban’s continuous flow, what matters most is tailoring the framework to your unique context for optimal team performance and innovation.

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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How will humans change in the next 10,000 years?

Future evolution: from looks to brains and personality

GUEST POST from Nicholas R. Longrich, University of Bath

READER QUESTION: If humans don’t die out in a climate apocalypse or asteroid impact in the next 10,000 years, are we likely to evolve further into a more advanced species than what we are at the moment? Harry Bonas, 57, Nigeria

Humanity is the unlikely result of 4 billion years of evolution.

From self-replicating molecules in Archean seas, to eyeless fish in the Cambrian deep, to mammals scurrying from dinosaurs in the dark, and then, finally, improbably, ourselves – evolution shaped us.

Organisms reproduced imperfectly. Mistakes made when copying genes sometimes made them better fit to their environments, so those genes tended to get passed on. More reproduction followed, and more mistakes, the process repeating over billions of generations. Finally, Homo sapiens appeared. But we aren’t the end of that story. Evolution won’t stop with us, and we might even be evolving faster than ever.


This article is part of Life’s Big Questions

The Conversation’s new series, co-published with BBC Future, seeks to answer our readers’ nagging questions about life, love, death and the universe. We work with professional researchers who have dedicated their lives to uncovering new perspectives on the questions that shape our lives.


It’s hard to predict the future. The world will probably change in ways we can’t imagine. But we can make educated guesses. Paradoxically, the best way to predict the future is probably looking back at the past, and assuming past trends will continue going forward. This suggests some surprising things about our future.

We will likely live longer and become taller, as well as more lightly built. We’ll probably be less aggressive and more agreeable, but have smaller brains. A bit like a golden retriever, we’ll be friendly and jolly, but maybe not that interesting. At least, that’s one possible future. But to understand why I think that’s likely, we need to look at biology.

The end of natural selection?

Some scientists have argued that civilisation’s rise ended natural selection. It’s true that selective pressures that dominated in the past – predators, famine, plague, warfare – have mostly disappeared.

Starvation and famine were largely ended by high-yield crops, fertilisers and family planning. Violence and war are less common than ever, despite modern militaries with nuclear weapons, or maybe because of them. The lions, wolves and sabertoothed cats that hunted us in the dark are endangered or extinct. Plagues that killed millions – smallpox, Black Death, cholera – were tamed by vaccines, antibiotics, clean water.

But evolution didn’t stop; other things just drive it now. Evolution isn’t so much about survival of the fittest as reproduction of the fittest. Even if nature is less likely to murder us, we still need to find partners and raise children, so sexual selection now plays a bigger role in our evolution.

And if nature doesn’t control our evolution anymore, the unnatural environment we’ve created – culture, technology, cities – produces new selective pressures very unlike those we faced in the ice age. We’re poorly adapted to this modern world; it follows that we’ll have to adapt.

And that process has already started. As our diets changed to include grains and dairy, we evolved genes to help us digest starch and milk. When dense cities created conditions for disease to spread, mutations for disease resistance spread too. And for some reason, our brains have got smaller. Unnatural environments create unnatural selection.

To predict where this goes, we’ll look at our prehistory, studying trends over the past 6 million years of evolution. Some trends will continue, especially those that emerged in the past 10,000 years, after agriculture and civilisation were invented.

We’re also facing new selective pressures, such as reduced mortality. Studying the past doesn’t help here, but we can see how other species responded to similar pressures. Evolution in domestic animals may be especially relevant – arguably we’re becoming a kind of domesticated ape, but curiously, one domesticated by ourselves.

I’ll use this approach to make some predictions, if not always with high confidence. That is, I’ll speculate.

Lifespan

Humans will almost certainly evolve to live longer – much longer. Life cycles evolve in response to mortality rates, how likely predators and other threats are to kill you. When mortality rates are high, animals must reproduce young, or might not reproduce at all. There’s also no advantage to evolving mutations that prevent ageing or cancer – you won’t live long enough to use them.

When mortality rates are low, the opposite is true. It’s better to take your time reaching sexual maturity. It’s also useful to have adaptations that extend lifespan, and fertility, giving you more time to reproduce. That’s why animals with few predators – animals that live on islands or in the deep ocean, or are simply big – evolve longer lifespans. Greenland sharks, Galapagos tortoises and bowhead whales mature late, and can live for centuries.

Even before civilisation, people were unique among apes in having low mortality and long lives. Hunter-gatherers armed with spears and bows could defend against predators; food sharing prevented starvation. So we evolved delayed sexual maturity, and long lifespans – up to 70 years.

Still, child mortality was high – approaching 50% or more by age 15. Average life expectancy was just 35 years. Even after the rise of civilisation, child mortality stayed high until the 19th century, while life expectancy went down – to 30 years – due to plagues and famines.

Then, in the past two centuries, better nutrition, medicine and hygiene reduced youth mortality to under 1% in most developed nations. Life expectancy soared to 70 years worldwide , and 80 in developed countries. These increases are due to improved health, not evolution – but they set the stage for evolution to extend our lifespan.

Now, there’s little need to reproduce early. If anything, the years of training needed to be a doctor, CEO, or carpenter incentivise putting it off. And since our life expectancy has doubled, adaptations to prolong lifespan and child-bearing years are now advantageous. Given that more and more people live to 100 or even 110 yearsthe record being 122 years – there’s reason to think our genes could evolve until the average person routinely lives 100 years or even more.

Size, and strength

Animals often evolve larger size over time; it’s a trend seen in tyrannosaurs, whales, horses and primates – including hominins.

Early hominins like Australopithecus afarensis and Homo habilis were small, four to five feet (120cm-150cm) tall. Later hominins – Homo erectus, Neanderthals, Homo sapiens – grew taller. We’ve continued to gain height in historic times, partly driven by improved nutrition, but genes seem to be evolving too.

Why we got big is unclear. In part, mortality may drive size evolution; growth takes time, so longer lives mean more time to grow. But human females also prefer tall males. So both lower mortality and sexual preferences will likely cause humans to get taller. Today, the tallest people in the world are in Europe, led by the Netherlands. Here, men average 183cm (6ft); women 170cm (5ft 6in). Someday, most people might be that tall, or taller.

As we’ve grown taller, we’ve become more gracile. Over the past 2 million years, our skeletons became more lightly built as we relied less on brute force, and more on tools and weapons. As farming forced us to settle down, our lives became more sedentary, so our bone density decreased. As we spend more time behind desks, keyboards and steering wheels, these trends will likely continue.

Humans have also reduced our muscles compared to other apes, especially in our upper bodies. That will probably continue. Our ancestors had to slaughter antelopes and dig roots; later they tilled and reaped in the fields. Modern jobs increasingly require working with people, words and code – they take brains, not muscle. Even for manual laborers – farmers, fisherman, lumberjacks – machinery such as tractors, hydraulics and chainsaws now shoulder a lot of the work. As physical strength becomes less necessary, our muscles will keep shrinking.

Our jaws and teeth also got smaller. Early, plant-eating hominins had huge molars and mandibles for grinding fibrous vegetables. As we shifted to meat, then started cooking food, jaws and teeth shrank. Modern processed food – chicken nuggets, Big Macs, cookie dough ice cream – needs even less chewing, so jaws will keep shrinking, and we’ll likely lose our wisdom teeth.

Beauty

After people left Africa 100,000 years ago, humanity’s far-flung tribes became isolated by deserts, oceans, mountains, glaciers and sheer distance. In various parts of the world, different selective pressures – different climates, lifestyles and beauty standards – caused our appearance to evolve in different ways. Tribes evolved distinctive skin colour, eyes, hair and facial features.

With civilisation’s rise and new technologies, these populations were linked again. Wars of conquest, empire building, colonisation and trade – including trade of other humans – all shifted populations, which interbred. Today, road, rail and aircraft link us too. Bushmen would walk 40 miles to find a partner; we’ll go 4,000 miles. We’re increasingly one, worldwide population – freely mixing. That will create a world of hybrids – light brown skinned, dark-haired, Afro-Euro-Australo-Americo-Asians, their skin colour and facial features tending toward a global average.

Sexual selection will further accelerate the evolution of our appearance. With most forms of natural selection no longer operating, mate choice will play a larger role. Humans might become more attractive, but more uniform in appearance. Globalised media may also create more uniform standards of beauty, pushing all humans towards a single ideal. Sex differences, however, could be exaggerated if the ideal is masculine-looking men and feminine-looking women.

Intelligence and personality

Last, our brains and minds, our most distinctively human feature, will evolve, perhaps dramatically. Over the past 6 million years, hominin brain size roughly tripled, suggesting selection for big brains driven by tool use, complex societies and language. It might seem inevitable that this trend will continue, but it probably won’t.

Instead, our brains are getting smaller. In Europe, brain size peaked 10,000—20,000 years ago, just before we invented farming. Then, brains got smaller. Modern humans have brains smaller than our ancient predecessors, or even medieval people. It’s unclear why.

It could be that fat and protein were scarce once we shifted to farming, making it more costly to grow and maintain large brains. Brains are also energetically expensive – they burn around 20% of our daily calories. In agricultural societies with frequent famine, a big brain might be a liability.

Maybe hunter-gatherer life was demanding in ways farming isn’t. In civilisation, you don’t need to outwit lions and antelopes, or memorise every fruit tree and watering hole within 1,000 square miles. Making and using bows and spears also requires fine motor control, coordination, the ability to track animals and trajectories — maybe the parts of our brains used for those things got smaller when we stopped hunting.

Or maybe living in a large society of specialists demands less brainpower than living in a tribe of generalists. Stone-age people mastered many skills – hunting, tracking, foraging for plants, making herbal medicines and poisons, crafting tools, waging war, making music and magic. Modern humans perform fewer, more specialised roles as part of vast social networks, exploiting division of labour. In a civilisation, we specialise on a trade, then rely on others for everything else.

That being said, brain size isn’t everything: elephants and orcas have bigger brains than us, and Einstein’s brain was smaller than average. Neanderthals had brains comparable to ours, but more of the brain was devoted to sight and control of the body, suggesting less capacity for things like language and tool use. So how much the loss of brain mass affects overall intelligence is unclear. Maybe we lost certain abilities, while enhancing others that are more relevant to modern life. It’s possible that we’ve maintained processing power by having fewer, smaller neurons. Still, I worry about what that missing 10% of my grey matter did.

Curiously, domestic animals also evolved smaller brains. Sheep lost 24% of their brain mass after domestication; for cows, it’s 26%; dogs, 30%. This raises an unsettling possibility. Maybe being more willing to passively go with the flow (perhaps even thinking less), like a domesticated animal, has been bred into us, like it was for them.

Our personalities must be evolving too. Hunter-gatherers’ lives required aggression. They hunted large mammals, killed over partners and warred with neighbouring tribes. We get meat from a store, and turn to police and courts to settle disputes. If war hasn’t disappeared, it now accounts for fewer deaths, relative to population, than at any time in history. Aggression, now a maladaptive trait, could be bred out.

Changing social patterns will also change personalities. Humans live in much larger groups than other apes, forming tribes of around 1,000 in hunter-gatherers. But in today’s world people living in vast cities of millions. In the past, our relationships were necessarily few, and often lifelong. Now we inhabit seas of people, moving often for work, and in the process forming thousands of relationships, many fleeting and, increasingly, virtual. This world will push us to become more outgoing, open and tolerant. Yet navigating such vast social networks may also require we become more willing to adapt ourselves to them – to be more conformist.

Not everyone is psychologically well-adapted to this existence. Our instincts, desires and fears are largely those of stone-age ancestors, who found meaning in hunting and foraging for their families, warring with their neighbours and praying to ancestor-spirits in the dark. Modern society meets our material needs well, but is less able to meet the psychological needs of our primitive caveman brains.

Perhaps because of this, increasing numbers of people suffer from psychological issues such as loneliness, anxiety and depression. Many turn to alcohol and other substances to cope. Selection against vulnerability to these conditions might improve our mental health, and make us happier as a species. But that could come at a price. Many great geniuses had their demons; leaders like Abraham Lincoln and Winston Churchill fought with depression, as did scientists such as Isaac Newton and Charles Darwin, and artists like Herman Melville and Emily Dickinson. Some, like Virginia Woolf, Vincent Van Gogh and Kurt Cobain, took their own lives. Others – Billy Holliday, Jimi Hendrix and Jack Kerouac – were destroyed by substance abuse.

A disturbing thought is that troubled minds will be removed from the gene pool – but potentially at the cost of eliminating the sort of spark that created visionary leaders, great writers, artists and musicians. Future humans might be better adjusted – but less fun to party with and less likely to launch a scientific revolution — stable, happy and boring.

New species?

There were once nine human species, now it’s just us. But could new human species evolve? For that to happen, we’d need isolated populations subject to distinct selective pressures. Distance no longer isolates us, but reproductive isolation could theoretically be achieved by selective mating. If people were culturally segregated – marrying based on religion, class, caste, or even politics – distinct populations, even species, might evolve.

In The Time Machine, sci-fi novelist H.G. Wells saw a future where class created distinct species. Upper classes evolved into the beautiful but useless Eloi, and the working classes become the ugly, subterranean Morlocks – who revolted and enslaved the Eloi.

In the past, religion and lifestyle have sometimes produced genetically distinct groups, as seen in for example Jewish and Gypsy populations. Today, politics also divides us – could it divide us genetically? Liberals now move to be near other liberals, and conservatives to be near conservatives; many on the left won’t date Trump supporters and vice versa.

Could this create two species, with instinctively different views? Probably not. Still, to the extent culture divides us, it could drive evolution in different ways, in different people. If cultures become more diverse, this could maintain and increase human genetic diversity.

Strange New Possibilities

So far, I’ve mostly taken a historical perspective, looking back. But in some ways, the future might be radically unlike the past. Evolution itself has evolved.

One of the more extreme possibilities is directed evolution, where we actively control our species’ evolution. We already breed ourselves when we choose partners with appearances and personalities we like. For thousands of years, hunter-gatherers arranged marriages, seeking good hunters for their daughters. Even where children chose partners, men were generally expected to seek approval of the bride’s parents. Similar traditions survive elsewhere today. In other words, we breed our own children.

And going forward, we’ll do this with far more knowledge of what we’re doing, and more control over the genes of our progeny. We can already screen ourselves and embryos for genetic diseases. We could potentially choose embryos for desirable genes, as we do with crops. Direct editing of the DNA of a human embryo has been proven to be possible — but seems morally abhorrent, effectively turning children into subjects of medical experimentation. And yet, if such technologies were proven safe, I could imagine a future where you’d be a bad parent not to give your children the best genes possible.

Computers also provide an entirely new selective pressure. As more and more matches are made on smartphones, we are delegating decisions about what the next generation looks like to computer algorithms, who recommend our potential matches. Digital code now helps choose what genetic code passed on to future generations, just like it shapes what you stream or buy online. This might sound like dark science fiction, but it’s already happening. Our genes are being curated by computer, just like our playlists. It’s hard to know where this leads, but I wonder if it’s entirely wise to turn over the future of our species to iPhones, the internet and the companies behind them.

Discussions of human evolution are usually backward looking, as if the greatest triumphs and challenges were in the distant past. But as technology and culture enter a period of accelerating change, our genes will too. Arguably, the most interesting parts of evolution aren’t life’s origins, dinosaurs, or Neanderthals, but what’s happening right now, our present – and our future.

This article is republished from The Conversation under a Creative Commons license. Read the original article.

Image Credit: Pixabay

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Leading a Culture of Innovation from Any Seat

3 Ways to Leverage Human-Centered Design at Your Organization

Leading a Culture of Innovation from Any Seat

GUEST POST from Patricia Salamone

In a world where business challenges are increasingly complex, identifying your objective and framing your problem correctly is an integral way to demonstrate leadership and ensure teams don’t inadvertently solve the wrong problem. This is where a Human-Centered Design (HCD) mindset comes in—providing a groundbreaking way to define and ensure teams are focused on the right objective.

First, consider the challenge and objectives.

Not all business challenges need to be completely reimagined. Before jumping back to the drawing board, ask yourself, is there an obvious answer? Is there a clear approach to finding a solution? Can the team define what isn’t right? If you can’t say yes to these questions, then your business can benefit from the application of HCD principles. While teams understand they need to align and reframe challenges, having the proper tools in place is where many teams can fall short.

Move past traditional methods and be inspired to see challenges by taking a step back to reframe the problem:

  • Align the team. Often, internal teams will have differing viewpoints on a business problem. Rather than seeing this as a barrier, cross-functional alignment can open the door for creativity and new ideas.
  • Keep the focus on the issue. It’s often tempting to jump from “we have a problem” to, “here’s what we should do.” Instead, keep digging deeper. For every apparent problem definition, ask, “why does that matter?” multiple times, enabling yourself to get to the root cause and ensure you’re focusing on the “problem” rather than a “symptom of the problem.”
  • Use different words to reframe. Next time your team states a problem, challenge everyone to restate it using different words. Each iteration can reveal new facets of the problem, bringing clarity to the challenge at hand.
  • Zoom out. Rather than using a microscope to see details that aren’t immediately visible, approach the problem from a broader, more abstract perspective. Look at the customer’s “job to be done,” rather than what they may say their challenge is. This enables a more holistic and pragmatic view.

By making problem-reframing a habit, you are opening your organization up to greater flexibility and new pathways for innovation. This method also has the added benefit of clarifying gaps in knowledge and revealing where additional customer insight is needed.

Make empathy a daily habit.

A core principle of HCD is that empathy must permeate every aspect of traditional research initiatives. Simply seeking customer feedback to develop strategies often leads to insular thinking. While a research project-driven mindset is very much the norm, empathy in an HCD context is much more than that, it must permeate every aspect of the work.

Similar to reframing challenges, it is imperative to listen and learn from customer stories and perspectives. Here are some ways to establish daily habits and build stronger relationships with your customers.

  • Advocate for the customer’s voice in team meetings. Always begin by asking questions like, “how would our customers feel about this?”
  • Socialize existing wisdom within an HCD team on a weekly basis. This could look like emails containing important insights or bringing in a small group of clients together for “speed dating” with stakeholders to gain a human understanding of your customers’ experiences, wishes, and pain points.
  • Obtain real-time feedback. Online research communities can enable on-demand responses to explore fuzzy, front-end ideas, rapidly iterate on new product concepts, or gather deep insights into how your customers use a product post-launch.

Apply an agile mindset.

One of the hallmarks of HCD is agility. But being agile isn’t just about being “fast,” it’s about delivering value as efficiently as possible. In practice, an agile mindset means thinking differently about how your work gets done and the ways in which a team can break through functional silos.

Not sure where to begin? Here are some tactics to get you started:

  • Break up the work of the team into two-week sprints. Define what can be done in those two weeks and create measurable goals to work toward them (even if those outcomes are only intermediate steps toward a bigger goal).
  • Commit to short and frequent stand-ups with your team to share commitments and highlight possible hurdles to accomplishing the goals of the current sprint.
  • Portion out deliverables. Rather than focusing on your next big presentation as your deliverable, think about how you can break your work down and deliver portions of that content to your stakeholders sooner in a more informal way.

While the above suggestions are purely jumping-off points, they serve as solid examples of practical ways you can begin to transition from understanding HCD as a concept to it becoming an enabler of rethinking both your own work, as well as becoming a catalyst to higher-performing teams.

At the end of the day, embracing the principles of HCD is a long-term journey. These proven steps will help you lead and inspire teams to begin developing new habits that quickly demonstrate the strong potential HCD has in creating a new way to see innovation through the eyes of your customers.

Image credit: Pixabay

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Transforming Business Processes with Machine Learning

Transforming Business Processes with Machine Learning

GUEST POST from Chateau G Pato

In today’s rapidly evolving landscape, businesses depend on innovative solutions to remain competitive. One such transformative force is machine learning (ML), a subset of artificial intelligence (AI) that enables systems to learn and improve from experience without being explicitly programmed. By integrating machine learning into business processes, organizations can uncover insights, enhance decision making, and drive efficiencies. Let us delve into how machine learning is revolutionizing business operations through real-world examples.

Understanding Machine Learning

Machine learning algorithms build mathematical models based on sample data, known as training data, to make predictions or decisions without being explicitly programmed to perform the task. There are three primary types of machine learning:

  • Supervised learning: The model is trained on labeled data.
  • Unsupervised learning: The model works on unlabeled data to find hidden patterns.
  • Reinforcement learning: The model learns by receiving feedback from its environment.

Case Study 1: Optimizing Supply Chain Operations

Company: XYZ Manufacturing

XYZ Manufacturing, a global leader in consumer electronics, faced challenges with forecasting demand, managing inventory, and optimizing their supply chain. They turned to machine learning to address these issues.

By implementing supervised learning models, XYZ Manufacturing improved demand forecasting accuracy by 30%. These models analyzed historical sales data, market trends, and seasonality to predict future demand. As a result, the company reduced excess inventory and improved product availability.

Additionally, XYZ Manufacturing utilized unsupervised learning algorithms to optimize their logistics network. The algorithms identified patterns in transportation data, leading to more efficient routing that decreased shipping costs by 20% and reduced delivery times.

Case Study 2: Enhancing Customer Experience in Banking

Company: ABC Bank

ABC Bank, a leading financial institution, sought to improve its customer experience and service offerings. With the help of machine learning, they developed a personalized recommendation engine.

The bank utilized supervised learning to analyze customer transaction history, demographics, and preferences. This analysis enabled ABC Bank to offer tailor-made financial products and services to its customers, increasing cross-selling opportunities by 25% and enhancing customer satisfaction.

Furthermore, ABC Bank deployed reinforcement learning in its fraud detection systems. The model learned from various transaction patterns to detect anomalies and suspicious activities in real-time, reducing fraudulent transactions by 40%.

The Future of Machine Learning in Business

Machine learning is no longer a futuristic concept but a present-day reality driving substantial change across industries. As organizations continue to explore ML applications, we anticipate further advancements in process automation, intelligent decision-making, and personalized experiences.

However, it is crucial for leaders to adopt a human-centered approach when implementing machine learning. Ensuring transparency, addressing ethical considerations, and fostering continuous learning will empower businesses to harness the full potential of machine learning responsibly and sustainably.

Conclusion

Machine learning is transforming how businesses operate, creating opportunities to enhance efficiency, accuracy, and customer engagement. By learning from industry pioneers like XYZ Manufacturing and ABC Bank, organizations can navigate the complexities of machine learning adoption and unlock new avenues for growth and innovation.

As we embrace this technological revolution, let us remain committed to a vision where machine learning augments human creativity and intelligence, steering us toward a future brimming with possibilities.

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

Image credit: Unsplash

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What Can Leaders Do to Have More Innovative Teams?

What Can Leaders Do to Have More Innovative Teams?

GUEST POST from Diana Porumboiu

Talent is one of the main drivers of innovation and its scarcity and high value makes it a frequent cause for concern for leaders from all over the world. And for good reason. Quality talent can make a business up to 800 times more productive.

But some of the biggest managerial challenges of senior leaders are finding the right talent and encouraging innovative behavior in employees. In fact, only 23% of managers and senior leaders believe they have good methods in place to acquire and retain the best talent.

So, how do you find the right people, retain them, and get them to drive more innovation? Putting together innovative teams and making sure that you have the best talent in the organization is not just an HR responsibility. From top executives to managers and leaders, they all have a part to play in the quest for talent that can help the organization drive more innovation.

To this end, we wrote this article for people in large organizations, whether they are innovation managers, leaders, or executives, who want to build talented teams that can actually drive more innovation.

We’ll go through some important points on the characteristics of innovative employees and provide some practical tips on how to get better talent and tap into the potential of current workforce to drive more innovation.

Why organizations need more employees involved in, and trained for, innovation work

We know that at a global level there is a shortage of highly skilled employees, and that even large companies with all their resources, don’t excel at finding and retaining talent.

Even though unemployment is still a big problem in many areas of the world, the rapid pace of change in recent times have showed that there is also an increasing shortage of talent.

Before 2020, a Gallup survey revealed that 73% of respondents were thinking of leaving their job. The pandemic hit, along with a crisis for many workers, but also with a wakeup call for other employees. And the Great Resignation, where 25 million people in the US quit their jobs in the second half of 2021, is proof of these unpredictable changes.

So, maybe now more than ever organizations should make sure that they are prepared and that they have the right workforce to help them thrive in the future.

Finding top talent is difficult, it takes time and it’s expensive. There is no way around it, organizations need more people once they start growing. At the same time, inside most companies there are also huge opportunities to unlock value from the existing workforce.

  • Untapped internal innovation potential

As it’s becoming more difficult to recruit top talent who can make more innovation happen, businesses that lack the knowledge and support for future growth are on shaky grounds.

But the conversations around the war for talent are not enough to provide real solutions on how to get more people involved in innovation work. Of course, as businesses grow, the need for more people to support that growth is obvious. However, when it comes to innovation capabilities, we don’t hear that often discussions around internal scouting and training of the existing workforce who can turn into assets for innovation.

How to tap into the full potential of employees? The approaches can vary, but a good start that works for almost any company, is to include everyone in the conversation, create a sense of belonging and give them a voice. This option is always worth pursuing and for a more in-depth guide on how to do that you can also check our article on collecting ideas from frontline employees.

Include everyone in the conversation, create a sense of belonging and give them a voice.

A second approach is to actually have them implement and drive innovation, but this is more complicated and requires a very structured approach and well implemented innovation management processes.

Either way, employees would benefit from training on innovation as is understood and applied within your organization. A common understanding of what innovation is for you, as a company, and how to achieve it, can reveal more potential than you first imagined you had.

There is still some controversy around the topic, and some believe that not everyone can be an innovator. While that can be true to some extent, innovation comes in different forms and shapes and almost everyone can contribute to innovation in one way or another if the context allows for it. Which takes us to our next point.

  • Innovation can be everyone’s job

While innovation might not come natural to most people, it doesn’t mean that we can’t learn the skills and mindset required for it. Even though not everyone has the curiosity and openness to explore new opportunities and ways of improving their work, they should still be encouraged and incentivized to be more innovative. And we believe it all starts at the top.

Innovation should be approached both top-down and bottom-up, but unless it starts from the top with great leaders who set the tone and support innovation, the chances of success are slim. At the same time, the front-end of innovation is where everyone can and should contribute, while the back-end execution requires more specialized skills and knowledge.

Viima Innovation Management Funnel

The bottom line here is that you can achieve a lot more innovation if you give everyone an opportunity to contribute. Most ideas, especially those that lead to incremental innovation come from the front-line employees, as they are the ones in close contact with your customers, products, and services. Even though most of these won’t necessarily change the trajectory of your business, when you put them together, they can make a huge difference in the performance of the core business.

  • Knowledge — source of innovation and competitive advantage

Speaking of competition, intangible assets, more prominently knowledge, are one of the major competitive advantages for organizations. Even more, tacit knowledge, the know-how, wisdom and experiences of employees which is not codified or explicit, represents an important driver for innovation.

As soon as you start working on harnessing that knowledge by creating the environment that enables transparent communication and flow of information, you will have more people involved in everyday innovation activities like idea challenges.

If you promote an innovation culture

“Even if people themselves might not be innovators, they are still likely to support innovation instead of blocking it by being resistant to change.”

So, if we look at it from this perspective, everyone in the organization can contribute to innovation with the right leaders at the helm, some good skills development programs, and a sound scouting system in place. But for that, we first need to understand what makes an employee innovative and what are the traits that define innovative thinking.

What makes employees innovative?

In simple words, innovation stems from a mix of creativity and action. However, even if creativity is important, it is often overrated compared to execution, which makes change happen and gets things done. To get to execution in the corporate setting, you also need good communication and collaboration.

At a macro level, things seem simple but at the micro level, the individual’s set of skills and traits required for innovation can’t be summed up in a couple of words.

Employee Pondering

So, let’s see what makes someone innovative, what to pay attention to, and what skills innovators should learn and develop. This can help you assess whether some of your team members excel in some areas or if they need to refine other skills or behaviors.

  • Growth Mindset

The road to innovation is paved with uncertainty and risk, so innovators will always need to push into the unfamiliar. This comes natural to those with a growth mindset, who are usually inclined to be more open to change. On the other hand, those with a fixed mindset will be more reluctant to try something new or explore beyond what they are used to.

In short, a growth mindset is compatible with innovation because those who possess it, believe their abilities can be developed through hard work and dedication. Innovation work will most certainly mean that you will fail at some point, or your assumptions will prove to be false. Those with a growth mindset are resilient, curious, and eager to learn, so such failures won’t hold them back.

There is a common misconception that a fixed mindset can’t be transformed, since it is after all, fixed. The good news is that neuroscience has proved the plasticity of our brains, which means that behaviors and mindsets can be changed, even at a more mature age. But more on that, in the next section.

  • Skills

As mentioned earlier, if you want to build an innovation culture and inspire innovative thinking within your organization, it’s not enough to have the most creative people. There are certain skills that encourage the proactive “doers” to act and execute on innovation.

Some of these skills for innovation are critical thinking, which helps with problem solving, curiosity, which allows for exploration and learning, good communication which enables collaboration and teamwork, and of course the hard skills necessary to actually implement innovation.

This is by no means an exhaustive list of skills for innovation, but they can be seen as the basis on which people can build and improve their skills. The key thing to remember is that for some types of innovation, you want people that can move things forward and get them done.

  • Values

Maybe less pragmatic, but just as important in getting more people on the innovation boat, are the personal values. Values guide behavior and explain behavioral patterns. We tend to act instinctively according to our core values and according to empirical studies, certain values foster innovative behavior while others might impede it.

Our previous article on cultural differences and innovation explains more in depth the relation between people’s beliefs and innovation, so we won’t go too much into detail here.

While some theories like the Theory of Basic Human Values of Schwartz or Hofstede’s cultural dimensions theory stem from cultural psychology and communication, they have been extended and applied to economics and the corporate world as well.

For example, one of the ten broad personal values identified by Schwartz, self-direction, is defined as someone being independent in thought, inclined to choose, create, and explore. On the other hand, someone that values conformity and security more, will be less inclined to accept change, or challenge the status quo.

Schwartz Theory Basic Values

Source: https://i2s.anu.edu.au/resources/schwartz-theory-basic-values

These can be measured through the Schwartz Value survey and the Portrait Values Questionnaire. Of course, this is just one practical method, and it has its limitation, as it’s not always easy to apply in a corporate context. However, these methods can still be helpful in providing some guidelines on personality traits and values that are more inclined toward innovation.

So, let’s move from theory to practices that can encourage and nurture innovative behaviors in employees.

How to nurture innovative behavior in your organization

Most leaders concerned about the future of the organization they work for have asked themselves at some point how to unlock more innovation potential and it’s not easy to find the right answer. That’s because there is no single correct answer, but rather a mix of strategy, leadership approaches, resources, and practices.

The first noteworthy element that ignites innovation behavior is as simple as having the ambition to pursue specific goals that highlight the role and value of change and innovation.

Having the right goals that provide focus and direction is essential to set the stage and make it explicit that everyone has a role to play in improving the way they, and the company at large, operate and behave.

The next steppingstone that reinforces and support the goals are the processes that can lead to change and innovation. These are essential in strengthening teams that work on those goals and make things happen. Such processes will look different for each organization. Whether it’s a specific time allocation like the 15% or 20% rule for innovation, or idea management processes, these are crucial for long-term success.

Now, there are also other methods that are essential in nurturing an innovative behavior and these are mostly related to leaders’ soft skills and their ability to create the environment where innovation can flourish.

  • Foster a growth mindset

As already mentioned, there is a myth that you either have the growth mindset or you don’t. In fact, brains keep on changing, together with the cognitive abilities, and a fixed mindset can be developed into a growth one. How to achieve this in practice?

Start by identifying the fixed mindset patterns in your employees. Is someone giving up quickly? Maybe they avoid challenges and prefer the comfort zone, or they avoid negative feedback and are always prepared with the answer “It’s not my job” or “I’m not good with words, or creative enough”. These are all signs that point to a fixed mindset.

To change this, set smart goals and offer learning opportunities that are aligned with those goals. People with a fixed mindset usually hang on to old habits because they had success with those, and they’ve been measured based on them. So, create reward systems that encourage new ways of working and challenge people to take risks.

People with a fixed mindset usually hang on to old habits because they had success with those, and they’ve been measured based on them.

For example, Tata Group worked on developing an innovation culture for many years and as part of their initiative they have a prize for the best failed idea. The purpose is not to fail for the sake of failing but to encourage innovation.

Such initiatives should come from leaders who are willing to address the root causes of their employees’ uncertainty and reluctance to novelty. However, to be able to implement similar initiatives, leaders should take a step back and consider another element, which is critical: psychological safety in the workplace.

  • Psychological safety

The concept of psychological safety dates to 1999 and it refers to the belief that one will not be punished or shamed if speaking up or coming up with ideas, questions or concerns. Studies show that when employees feel comfortable to challenge the status quo without fearing negative consequences, organizations can innovate faster and adapt well to change.

Leaders have the greatest impact on team climate, and they have the power to influence internal behaviors more than anyone. A McKinsey survey reveals how leaders should develop their skills through leadership programs that focus on specific skills. Among the skills that have the biggest influence on creating psychologically safe work environments are the open dialogue skills, sponsorship, and situational humility.

While the theory helps us understand the importance of psychological safety in the workplace, it doesn’t provide practical answers. So, let’s briefly look at some concrete examples that leaders can put in practice to inspire more trust, and safety.

A good place to start is Laura Delizonna’s framework for psychological safety, which is based on four key pillars: Care, Courage, Co-elevate, Commitment.

Laura Delizonna Psychological Safety Framework

Care

Care is about empathy and the openness to understand one another even if you don’t agree. Showing care means practicing active listening, showing interest and empathy.

For example, some organizations have team rituals like check-ins. One technique is the PIE check-in when each person in the team takes a few seconds to talk about their Physical, Intellectual and Emotional state.

Another technique you could use is the Rose Bud Thorn, where you ask each person to share a positive of the week (rose), something that emerged (the bud) and something that is challenging (the thorn).

There are other techniques and most of them work well even in remote environments. Also, something as simple as coffee chats, ask me anything sessions, sharing rituals like celebrating birthdays or holidays can all help in showing care and empathy. Leaders should constantly offer their support, assess people’s needs and burnout risk.

Courage

To inspire courage, leaders first have to show courage. They should walk the talk and be open with their vulnerabilities, mistakes, and challenges. So, while it might be difficult for some, true leaders show the way by admitting when they don’t know something, asking questions and showing interest to learn and improve their skills. Owning errors publicly and as soon as they happen has a big impact on team morale and attitude towards failure.

As a leader you can share your learning journey where you include the goal, the adversities you faced, experiments you made and failed and lessons you learned.

Co-elevate

Co-elevate is about inspiring and empowering others to bring their best, not just cooperate. Study shows that leaders think they give recognition 80% of their time, while team members feel they receive recognition 30% of the time. There is a disconnect in how we communicate.

Some best practice to co-elevate is to express appreciation that is frequent and specific. What do you appreciate in someone’s approach? How did their work influence the results and you personally? What specific behaviors can you praise?

Just as important is to solicit input and how you do that makes all the difference. Instead of leaving room at the end of a meeting for people to add something, change the approach to ask opposing views, or what someone would do in your place, etc. Remember to thank those who speak up and give an opposing argument.

As you can see, there are many nuances when communicating, providing, and asking for feedback. Once you create procedure and different pathways that allow for contribution, things will get easier.

Commitment

Commitment is what brings everything together. Leaders need to commit to experiments and to try to do something differently. Set goals for things you want to change. You can start with one experiment every day.

Psychological safety and a growth mindset are essential if you want to unleash the innovation potential of employees. However, nurturing them takes time, so you won’t see results overnight. It’s important to remember that as leaders you set the scene and lead the way. Unless you take baby steps to display the innovative behavior you expect from others, you won’t be able to move the needle in the right direction.

Conclusion

Neuroscience taught us that even as adults, our brains are malleable, so if some employees might seem resistant to change, disengaged or lack creativity, first ask yourself if there is something you can do differently. Maybe they don’t have the environment where they can flourish, or they are not led by people who allow them to shine.

Inevitably, there’s always going to be someone who resists change, who can’t be converted to a growth mindset or innovative thinking. This doesn’t mean that there isn’t room for improvement. Their support can contribute to incremental innovation and continuous improvements. It’s also more cost-efficient to train existing workforce than always looking for something you believe it’s missing.

When you’ll inevitably have to scout externally for new talent to support innovation work, consider a few key elements: the employer brand, innovation culture, leadership training programs, as well as the processes and mechanisms that facilitate innovation.

This article was originally published in Viima’s blog.

Image credits: Viima, Unsplash, Pexels

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Key Innovation Performance Indicators

Key Innovation Performance Indicators

GUEST POST from Art Inteligencia

Innovation is the lifeblood of organizations striving to remain relevant in a rapidly changing marketplace. However, without a set of clear Key Performance Indicators (KPIs), those aspirations often flounder. How do you measure the nebulous concept of innovation? In this article, I will outline the essential KPIs for innovation and illustrate their impact through two compelling case studies.

Understanding Innovation KPIs

Defining KPIs for innovation involves recognizing both qualitative and quantitative metrics. These KPIs should align with the organization’s strategic goals, fostering a culture of creativity and progress. Here are a few critical innovation KPIs:

  • Innovation Portfolio Mix: The balance between incremental, adjacent, and transformational innovations.
  • Time to Market: The duration from ideation to product launch.
  • Percentage of Revenue from New Products: Revenue contribution of products released in the last 3 years.
  • Number of Ideas Generated and Implemented: A ratio reflecting idea generation effectiveness and conversion into successful projects.
  • Customer Impact: Customer satisfaction and engagement with new products or services.

Case Study 1: Google’s 20% Time

In the early 2000s, Google introduced its famous “20% time” policy, allowing engineers to dedicate a fifth of their workweek to projects they believed could benefit the company. This freedom sparked numerous innovations, including Gmail and AdSense. Google measured the success of this initiative through:

  • Idea Generation Volume: The sheer number of ideas was astronomical, with thousands of projects initiated.
  • Implementation Rate: Google tracked the transition from idea to scalable project, maintaining a balance between open exploration and focused execution.
  • Revenue Impact: The new products generated substantial revenue, with AdSense alone contributing significantly to Google’s ad revenue.

Google’s case emphasizes the importance of creating an environment that encourages risk-taking and exploration while enforcing KPIs to ensure resources are effectively allocated towards sustainable innovation.

Case Study 2: 3M’s Innovation DNA

3M, a paragon of persistent innovation, has relied heavily on metrics to sustain its innovative edge. The company’s longstanding goal of deriving 30% of its revenue from products less than 5 years old has been a critical KPI:

  • Revenue from New Products: This KPI ensures continuous portfolio refreshment and keeps the company moving forward.
  • R&D Efficiency: Investment in R&D is tracked against the resulting innovations to evaluate the effectiveness of their spending.
  • Incremental vs. Breakthrough Innovations: 3M categorizes innovations to maintain a strategic mix, ensuring they aren’t solely focused on incremental improvements.

3M’s approach highlights the power of KPIs in aligning innovation efforts with long-term business strategy, consistently driving the company’s market leadership.

Implementing Effective Innovation KPIs

When crafting innovation KPIs, organizations must consider the following:

  • Strategic Alignment: Ensure KPIs align with overarching business goals to maintain innovation direction.
  • Flexibility: Adapt metrics as the market and organizational priorities evolve.
  • Broad Engagement: Engage cross-functional teams to encompass diverse insights and drive holistic impact.
  • Iterative Review: Regularly assess KPI effectiveness and refine them based on real-world performance and feedback.

Conclusion

Innovation KPIs are indispensable in gauging the true impact of creative efforts within an organization. By examining the practices of industry leaders like Google and 3M, we recognize that the most successful companies use KPIs not only to measure innovation but to steer and sustain it. Ultimately, the right KPIs—tailored to the company’s goals and culture—provide a roadmap for enduring innovation and competitive advantage.

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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Four Reasons the Big Quit Exists

Four Reasons the Big Quit Exists

Turns out the pandemic prompted mass numbers of employees finally say, “take this job and shove it” to employers and careers they don’t like. Life is too short to be miserable at work.

In a recent NICE Webinar, we discussed how job quit rates have hit a historic high—even while the economy is still recovering from two years of furloughs and layoffs. This is often referred to as The Great Resignation.

Enlightening research from Gallup gathered in March of 2021 found that 48% of the working population in the United States is actively job-hunting or seeking out new opportunities.[1]

NICE Employee Churn word cloud

So, while we watch the labor market churn with no signs of settling, how can businesses avoid the costs of high turnover rates?

“How to Reduce the Risk of Employee Churn Amid the Big Quit”
(click to continue reading this article on the NICE blog)

Image credits: NICE

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Why Revolutions Fail

Why Revolutions Fail

GUEST POST from Greg Satell

I still remember the feeling of triumph I felt in the winter of 2005, in the aftermath of the Orange Revolution in Ukraine. During the fall, we readied ourselves for what proved to be a falsified election. In November, when the fraudulent results were announced, we took to the streets and the demonstrations lasted until new elections were called in January.

We had won, or so we thought. Our preferred candidate was elected and it seemed like a new era had dawned. Yet soon it became clear that things were not going well. Planned reforms stalled in a morass of corruption and incompetence. In 2010, Victor Yanukovych, the same man we marched against, rose to the presidency.

The pattern repeats with almost metronomic regularity. Egyptian dictator Hosni Mubarak was ousted in the Arab Spring, only to be replaced by the equally authoritarian Abdel Fattah el-Sisi. George W. Bush gave way to Barack Obama, who set the stage for Donald Trump. Revolutions sow the seeds for their own demise. We need to learn to break the cycle.

The Physics Of Change And The Power Of Shared Values

In Rules for Radicals, the legendary activist Saul Alinsky observed that every revolution inspires a counterrevolution. That is the physics of change. Every action provokes a reaction because, if an idea is important, it threatens the status quo, which never yields its power gracefully. If you seek to make change in the world, you can be sure that some people aren’t going to like it and will fight against it.

For example, President Bush’s support for a “Defense of Marriage Act” inspired then San Francisco Mayor Gavin Newsom to unilaterally begin performing weddings for gay and lesbian couples at City Hall, in what was termed the Winter of Love. 4,027 couples were married before their nuptials were annulled by the California Supreme Court a month later.

The backlash was fierce. Conservative groups swung into action to defend the “sanctity of marriage” and in 2008 were successful in placing Proposition 8, an amendment to the California Constitution that prohibited gay marriage, on the ballot. It was passed with a narrow majority of 52% of the electorate which, only further galvanized LGBTQ activists and led, eventually, to legalized gay marriage.

In our work helping organizations drive transformation, we find similar dynamics at play. Corporate revolutionaries tend to assume that once they get their budget approved or receive executive sponsorship, everything will go smoothly. The reality is that’s the point when things often get bogged down, because those who oppose change see that it has actually become possible and redouble their efforts to undermine it.

The Differentiation Trap

Many revolutionaries, corporate and otherwise, are frustrated marketers. They want to differentiate themselves in the marketplace of ideas through catchy slogans that “cut through.” It is by emphasizing difference that they seek to gin up enthusiasm among their most loyal supporters.

That was certainly true of LGBTQ activists, who marched through city streets shouting slogans like “We’re here, we’re queer and we’d like to say hello.” They led a different lifestyle and wanted to demand that their dignity be recognized. More recently, Black Lives Matter activists made calls to “defund the police,” which many found to be shocking and anarchistic.

Corporate change agents tend to fall into a similar trap. They rant on about “radical” innovation and “disruption,” ignoring the fact that few like to be radicalized or disrupted. Proponents of agile development methods often tout their manifesto, ignoring the fact many outside the agile community find the whole thing a bit weird and unsettling.

While emphasizing difference may excite people who are already on board, it is through shared values that you bring people in. So it shouldn’t be a surprise that the fight for LGBTQ rights began to gain traction when activists started focusing on family values. Innovation doesn’t succeed because it’s “radical,” but when it solves a meaningful problem. The value of Agile methods isn’t a manifesto, but the fact that they can improve performance.

Learning To Love Your Haters

Once you understand that shared values are key to driving change forward, it becomes clear that those who oppose the change you seek can help break the cycle of revolution and counter-revolution and beginning to drive change forward. That’s why you need to learn to love your haters.

By listening to people who hate your idea you can identify early flaws and fix them before it’s too late. Yet even more importantly they can help you identify shared values because they are trying to persuade many of the same people you are. Often, if not always, you can use their own arguments against them.

That’s exactly what happened in the fight for LGBTQ rights. The central argument against the movement was that the gay lifestyle was a threat to family values. So it was no accident that it prevailed on the basis of living in committed relationships and raising happy families. In a similar way, Black Lives Matter activists would do much better focusing on the shared value of safe neighborhoods that in a crusade against police officers.

To be clear, listening to your opposition doesn’t mean engaging directly with them. That’s a mistake Barack Obama made far too often. He would appear on Bill O’Reilly’s show on Fox News, only to be ridiculed as soon as he was off camera. He would have been much better off watching at home and using the bombastic TV host’s remarks for his own purposes.

Achieving Schwerpunkt

In the final analysis, the reason that most would-be revolutionaries fail is that they assume that the righteousness of their cause will save them. It will not. Injustice, inequity and ineffectiveness can thrive for decades and even centuries, far longer than a human lifespan. If you think that your idea will prevail simply because you believe in it you will be sorely disappointed.

Tough, important battles can only be won with good tactics, which is why successful change agents learn how to adopt the principle of Schwerpunkt. The idea is that instead of trying to defeat your enemy with overwhelming force generally, you want to deliver overwhelming force and win a decisive victory at a particular point of attack.

Thurgood Marshall did not seek to integrate all schools, at least not at first. He started with graduate schools, where the “separate but equal” argument was most vulnerable. More recently, Stop Hate For Profit attacked Facebook not by asking users to boycott, but focused on advertisers, who themselves were vulnerable to activist action.

Yet Schwerpunkt is a dynamic, not a static concept. You have to constantly innovate your approach as your opposition adapts to whatever success you may achieve. For example, the civil rights movement had its first successes with boycotts, but eventually moved on to sit-ins, “Freedom Rides,” community actions and eventually, mass marches.

The key to success wasn’t any particular tactic, leader or slogan but strategic flexibility. Unfortunately, that’s exactly what most movements lack. All too often they get caught up in a strategy and double down, because it feels good to believe in something, even if it’s a failure. They would rather make a point than make a real difference.

Successful revolutionaries, on the other hand, understand that power will not fall simply because you oppose it, but it will crumble if you bring those who support it over to your side. That’s why lasting change is always built on the common ground of shared values.

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

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From Concept to Creation: A Guide to Ideation

From Concept to Creation: A Guide to Ideation

GUEST POST from Chateau G Pato

In the ever-evolving landscape of innovation, transitioning from a broad concept to a tangible creation can often be the most challenging yet rewarding journey an organization can undertake. Ideation, the creative process of generating, developing, and communicating new concepts, is a cornerstone of this journey. As a thought leader in human-centered change and innovation, it’s my pleasure to guide you through the critical stages of ideation using two compelling case studies as illustrations.

The Ideation Process

The ideation process involves several key stages: inspiration, creative generation, refinement, prototyping, and execution. Each phase is crucial, requiring both structured methodologies and a flexible mindset. Successful ideation fosters a culture of creativity and openness, leveraging diverse perspectives to develop solutions that resonate with real human needs.

Case Study 1: Airbnb – Revolutionizing Travel Accommodation

Inspiration:

The founders of Airbnb, Brian Chesky and Joe Gebbia, were struggling to pay rent in San Francisco in 2007. They saw an opportunity during a local design conference, when hotels were fully booked. This sparked the idea of renting out air mattresses in their apartment to attendees looking for affordable accommodation.

Creative Generation:

The idea expanded beyond their immediate need. Chesky and Gebbia, alongside Nathan Blecharczyk, envisioned a platform where homeowners could list and rent spaces globally. This was revolutionary, challenging the traditional hotel industry.

Refinement and Prototyping:

Initial website versions were simple, but enough to validate the concept through real users. Continuous feedback helped refine the platform to better match user needs, laying the foundation for what Airbnb is today.

Execution:

Airbnb launched officially in 2008 and has since grown exponentially, leveraging lessons learned from user feedback and scaling the model to accommodate millions of users worldwide.

Case Study 2: The Dyson Vacuum Cleaner – Engineering Innovation

Inspiration:

James Dyson, frustrated with the inefficiency of traditional vacuum cleaners, sought out a solution. Noticing the industrial cyclone separators used in sawmills inspired him to apply similar technology to home vacuuming.

Creative Generation:

The concept of a bagless vacuum cleaner took shape. Dyson’s vision was to create a powerful vacuum that maintained its suction, unlike traditional models losing power as bags filled.

Refinement and Prototyping:

Dyson created over 5,000 prototypes over five years, iterating designs based on performance and user input. This relentless refinement was driven by his commitment to solving a real problem.

Execution:

The Dyson DC01 launched in 1993 and revolutionized the market. Its success built upon Dyson’s perseverance through ideation stages, ultimately establishing a new standard in home cleaning technology.

Key Takeaways

Both Airbnb and Dyson exemplify the power of effective ideation. Here are a few key takeaways from their journeys:

  • User-Centric Mindset: Focus on understanding and solving real user problems.
  • Iterative Prototyping: Test, learn, and refine ideas continuously.
  • Persistence and Flexibility: Stay committed to your vision, but be flexible enough to adapt based on feedback and new insights.

Conclusion

The journey from concept to creation demands a balance of creativity, strategy, and resilience. By fostering a culture that embraces these qualities, organizations can transform great ideas into groundbreaking innovations. Remember, successful ideation is not just about having a bright idea — it’s about nurturing that idea through each phase of its evolution, just as seen in the transformative journeys of Airbnb and Dyson.

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

Image credit: Unsplash

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