Integrating Agile Practices into Non-Software Projects

Integrating Agile Practices into Non-Software Projects

GUEST POST from Art Inteligencia

Agile practices are often celebrated in the software development realm, promising flexibility, responsiveness, and enhanced collaboration. But, the principles of Agile can be extended beyond software. At its core, Agile strives to deliver value and facilitate continuous improvement, making it a valuable methodology for a variety of disciplines. In this article, we will explore how Agile practices can be integrated into non-software projects, supported by two compelling case studies.

Case Study 1: Agile in Marketing Campaign Management

Background: A global retail company, RetailCorp, faced challenges with their traditional marketing campaign management process, which was rigid, slow to adapt to market trends, and resulted in delayed campaign launches.

Agile Implementation: RetailCorp adopted Scrum, one of the most popular Agile frameworks, for their marketing team. They formed a cross-functional team including designers, content creators, data analysts, and campaign managers to collaborate and focus on delivering incremental value. Daily stand-ups, sprint planning, and retrospectives were introduced to the non-software team.

Outcomes:

  • Increased Flexibility: The marketing team could swiftly pivot strategies in response to competitors’ actions or new market data.
  • Enhanced Collaboration: The cross-functional team dynamic fostered innovation and creative problem-solving.
  • Reduced Time to Market: Campaigns were launched 30% faster compared to the previous process.

Case Study 2: Agile in Product Design and Development

Background: DesignStudio, a company specializing in developing consumer electronics, sought a way to accelerate their product design and development timeline without compromising quality.

Agile Implementation: DesignStudio embraced Kanban, aiming for a leaner workflow. They visualized the design and development process using Kanban boards, which provided transparency and facilitated the spotting and resolution of bottlenecks.

Outcomes:

  • Improved Workflow Efficiency: By limiting work in progress, DesignStudio minimized context-switching and improved focus.
  • Enhanced Quality: Continuous feedback loops ensured that design flaws were identified and corrected earlier in the process.
  • Faster Development Lifecycle: Products were designed and ready for market 25% quicker.

Keys to Successful Agile Integration in Non-Software Projects

Here are several strategies for successfully integrating Agile practices into non-software projects:

  • Adapt and Tailor: Customize Agile practices to fit the unique requirements and constraints of your non-software projects.
  • Focus on Training: Provide comprehensive Agile training to ensure teams understand the principles and can swiftly adapt.
  • Emphasize Collaborative Culture: Foster an environment where open communication and collaboration are prioritized, breaking down traditional silos.
  • Measure and Iterate: Regularly assess the effectiveness of Agile practices in achieving project goals and iterate for continuous improvement.

By harnessing Agile practices, non-software projects can achieve higher levels of efficiency, flexibility, and quality. The principles underpinning Agile aren’t limited to software; they are about fostering a culture of adaptability, continuous learning, and value-driven outcomes. As organizations continue to evolve in competitive landscapes, Agile methodologies offer a powerful tool for achieving sustainable success.

This article provides an insightful exploration of integrating Agile practices into non-software projects, featuring two illustrative case studies. It demonstrates practical examples and key strategies for successful Agile adoption beyond the realm of software development.

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

Image credit: Unsplash

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Measuring the Impact of Social and Environmental Innovation

Measuring the Impact of Social and Environmental Innovation

GUEST POST from Chateau G Pato

As we advance into an era of conscientious capitalism, the role of social and environmental innovation has become more critical than ever. Organizations are increasingly measured not just on their financial performance, but on their ability to generate positive social and environmental outcomes. However, to truly recognize the value of these innovations, we must develop robust methods for measuring their impact.

In this article, we’ll explore key strategies for evaluating the impact of social and environmental innovation, supported by two illustrative case studies.

Importance of Measuring Impact

Measuring impact is vital for several reasons. It provides accountability, guiding companies to deliver on their promises. It also helps in securing funding and support from stakeholders and enhances decision-making by providing insights into what works and what doesn’t. Moreover, clear metrics can foster increased transparency and trust between an organization and its stakeholders.

Approaches to Measuring Impact

While there is no one-size-fits-all approach, several methodologies can be used to measure impact:

  • Social Return on Investment (SROI): This method quantifies the social, environmental, and economic value created by an organization relative to the resources invested.
  • Triple Bottom Line (TBL): Focuses on people, planet, and profit, evaluating social and environmental performance alongside financial outcomes.
  • Key Performance Indicators (KPIs): Specific metrics tailored to a project’s goals, offering a direct line to assessing impact.

Case Study 1: Interface, Inc.

Background

Interface, Inc., one of the largest global manufacturers of modular carpet, embarked on a transformative mission to become a fully sustainable enterprise. Their initiative, Mission Zero, aimed to eliminate any negative impact the company had on the environment by 2020.

Measuring Impact

Interface used a comprehensive approach to measure its environmental innovations — they tracked metrics such as carbon emissions, water usage, and waste reduction. They also calculated their progress toward Mission Zero goals, establishing clear KPIs and regularly publishing sustainability reports.

Results

By the end of 2020, Interface had managed to reduce its greenhouse gas emissions by 96% and waste to landfills by 91% from a 1996 baseline, all while increasing their recycled and bio-based content across products.

Case Study 2: The MicroLoan Foundation

Background

The MicroLoan Foundation provides small loans, business training, and mentorship to women in sub-Saharan Africa, aiming to lift communities out of poverty through female entrepreneurship.

Measuring Impact

This organization uses a Social Return on Investment (SROI) framework to evaluate the socioeconomic impact of its programs. They assess metrics such as income increase, business success rate, and improvements in quality of life. Moreover, they track the ripple effect within communities, measuring how these microloans improve education and healthcare access.

Results

Women supported by the MicroLoan Foundation reported a 96% success rate in their businesses with significant improvements in household income and education access for their children, demonstrating a substantial SROI.

Moving Forward

As businesses aim to achieve sustainable and inclusive growth, the ability to precisely measure social and environmental impact becomes a vital asset. By leveraging diverse measurement strategies, companies can ensure they are not only contributing positively to society and the environment but are also reaping the rewards of their efforts through enhanced reputation and stakeholder trust.

Ultimately, the evolving landscape of business underscores that financial gain and social good do not have to be mutually exclusive but can coexist to create a more inclusive and sustainable future.

As leaders in change and innovation, let us commit to not just measuring outcomes, but driving meaningful impact that transforms lives and safeguards our planet.

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

Image credit: Unsplash

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Embracing Failure – Lessons Learned from Setbacks

Embracing Failure - Lessons Learned from Setbacks

GUEST POST from Art Inteligencia

In the world of innovation, failure is not just inevitable, it’s essential. Embracing failure can lead to groundbreaking discoveries, foster resilience, and cultivate a culture that thrives on learning. While the stigma of failure persists, forward-thinking organizations understand that embracing setbacks is a cornerstone of progress. Here, we explore two compelling case studies that illustrate how failure can be transformed into a stepping stone for future success.

Case Study 1: The Rise of Airbnb

When Brian Chesky and Joe Gebbia first conceived the idea of renting out air mattresses on their apartment floor, their concept wasn’t an overnight sensation. The fledgling platform struggled, with its initial website launch garnering disappointing engagement. The duo faced numerous rejections from investors, many of whom doubted the viability of the idea. However, rather than viewing these setbacks as failures, the team saw them as opportunities to refine their model and focus on user experience.

Lessons Learned:

  • Pivoting is powerful: Chesky and Gebbia used feedback from failures to adapt their business model, eventually redefining the travel and lodging industry.
  • Persistence is key: Despite numerous rejections, they persisted, displaying resilience that would eventually lead to Airbnb’s global success.

Case Study 2: The WD-40 Story

WD-40, now a staple in households worldwide, originated from a series of failures. The product’s creation was the result of 39 unsuccessful attempts to develop a formula to prevent corrosion. Instead of seeing these failed attempts as a loss, the creators viewed each one as a learning opportunity. The breakthrough came with the 40th formula, hence the name “WD-40” which stands for “Water Displacement, 40th formula”.

Lessons Learned:

  • Learning from repetition: Every failed attempt provided valuable data, ultimately leading to a successful product.
  • Failure can fortify determination: The triple-digit number of attempts underscores how determination can lead to ultimate success.

Conclusion

Both of these stories demonstrate that failure is not the opposite of success; it is part of its journey. Organizations willing to embrace failure cultivate a learning culture, fostering innovation and improvement. Embracing failure also sets the stage for transformational change as each setback provides the chance to learn, innovate, and ultimately succeed.

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

Image credit: Unsplash

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Creating Seamless Omnichannel Experiences

Creating Seamless Omnichannel Experiences

GUEST POST from Chateau G Pato

The modern consumer demands a unified and personalized experience across all channels of interaction. Whether they’re shopping online, on a mobile app, or in-store, customers expect consistency, efficiency, and a connected narrative from brands. Achieving this seamless omnichannel experience requires not just technological integration but a fundamental shift in how businesses think about customer journeys.

Understanding Omnichannel Experience

A true omnichannel experience is much more than simply being present on multiple channels. It requires the integration of every communication and sales channel to reflect a unified and personalized journey for the customer. This involves harmonizing data, creating consistent brand messaging, and ensuring that customers can switch between channels effortlessly, with the assurance that the company recognizes them at every touchpoint.

Key Elements of a Seamless Omnichannel Experience

  • Unified Data: Implement solutions that can centralize customer data from all channels, allowing for a personalized approach in real-time.
  • Consistent Branding: Ensure your brand message, style, and tone are consistent across every channel.
  • Integrated Technology: Use platforms that allow for seamless transitions and communication between channels.
  • Customer-Centric Approach: Design experiences from the customer’s perspective for ease of use and satisfaction.

Case Study 1: Starbucks

Starbucks is a pioneer in delivering seamless omnichannel experiences. Through their mobile app, they have successfully integrated numerous channels to enrich customer interaction. Customers can order ahead on their app, earn and redeem loyalty points, review past orders, and pay for purchases—all within a unified ecosystem. This integration has not only enhanced customer satisfaction but also increased sales, as it supports customers in deciding when and how to make purchases.

Additionally, Starbucks ensures that their promotions, brand messages, and updates are consistent across all channels, from their app to in-store displays and advertisements. This consistency reinforces their brand identity and helps maintain a cohesive customer experience.

Case Study 2: Disney

Disney offers another exemplary omnichannel experience, notably through their parks and resorts. The company has designed its My Disney Experience app to act as a comprehensive planning and guide tool for visitors. Before their visit, customers can book tickets, make dining reservations, and plan their itinerary. On the day of the visit, the app transforms into a navigator, with features like wait-time updates, interactive maps, and mobile ordering.

The seamless experience extends to physical locations with the MagicBand technology, which serves as an entry ticket, room key, and payment method. By providing a blend of digital and in-store interactions that are flawlessly connected, Disney ensures that their customers can focus on experiences, not logistics.

Conclusion

The journey towards creating seamless omnichannel experiences involves embracing both technological integration and a commitment to customer-centric innovation. By studying leaders like Starbucks and Disney, organizations can glean valuable insights into designing a strategy that fulfills today’s customer expectations. Future-ready omnichannel experiences are essential for maintaining competitive edge and fostering long-lasting customer relationships.

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

Image credit: Unsplash

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Driving Innovation Through Empathy, Leadership and Understanding

Driving Innovation Through Empathy, Leadership and Understanding

GUEST POST from Art Inteligencia

In the rapidly evolving world of business, innovation stands as a critical driver for success. While processes, structures, and technologies play substantial roles, the human element—particularly empathy—holds profound potential. Empathy allows leaders to deeply understand and genuinely connect with their teams and customers, fostering an environment where innovation thrives. This article explores the intricate relationship between empathy and leadership, anchored by compelling case studies that illustrate transformative outcomes when empathy is prioritized.

Case Study 1: The LEGO Group

LEGO, the beloved toy company, experienced significant challenges in the early 2000s. The company was nearing bankruptcy due to a failure to adapt to the changing interests of its core audience—children. The leadership team at LEGO realized a need to step back and adopt a fresh perspective grounded in empathy.

The turnaround strategy, famously termed “LEGO’s Business Transformation,” required the leadership to immerse themselves in the world of their customers—children. By spending time observing and interacting with children during play sessions, LEGO’s leaders understood the emotional and creative needs of their audience. This led to innovations like the immensely popular LEGO Friends series, which was designed based on detailed feedback from young girls who were previously underserved by traditionally boy-oriented LEGO products.

The result was not only an incredible resurgence in profitability but also an innovation culture that prioritizes deep customer connection and iterative feedback—a testament to the power of empathy-driven leadership.

Case Study 2: Microsoft’s Cultural Transformation

When Satya Nadella became the CEO of Microsoft in 2014, the company was seen as a bureaucratic giant struggling to compete with more nimble tech innovators. Nadella’s leadership focused heavily on empathy, both internally across Microsoft’s vast workforce and externally toward customers.

Internally, Nadella encouraged a cultural shift from a “know-it-all” to a “learn-it-all” philosophy. He challenged teams to use empathy to transform customer engagement strategies and product development processes. A concrete example is the development of features for people with disabilities, inspired by Nadella’s personal experiences as a father of a child with special needs.

This empathy-first approach led to breakthrough innovations such as Seeing AI, an app that narrates the world for the visually impaired, exemplifying how deep understanding and leadership empathy could drive product innovation while simultaneously enhancing Microsoft’s brand value and market relevance.

Conclusion

Empathy enables leaders to connect deeply with their teams and customers, providing a compass that guides innovative practices. The stories of LEGO and Microsoft underscore the profound impact that empathy can have when it shapes leadership strategies. As businesses grapple with complex challenges, those that integrate empathy into the very fabric of their leadership are not only poised to innovate but to do so in a manner that genuinely resonates with human needs.

In embracing empathy, leaders unlock the key to sustainable innovation, transforming their organizations into environments where understanding, creativity, and impact coexist harmoniously.

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

Image credit: Pexels

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What Innovators Can Learn From the Spectacular Rise and Crash of Theranos

Including its CEO Elizabeth Holmes

What Innovators Can Learn From the Spectacular Rise and Crash of Theranos

Last week in a Silicon Valley courtroom, Theranos founder and CEO Elizabeth Holmes was convicted on four counts of fraud in connection with the failed blood-testing company she founded in 2003. The Stanford dropout will soon be sentenced to up to 20 years in prison. She joins a long list of convicted fakers that includes Bernie Madoff, Jeff Skilling, John DeLorean, and many others.

For most observers, the question now is how Holmes got so far, so fast. But for innovators everywhere, I want to focus on a different question: what can we learn from this case study of innovation gone bad?

As an innovation author and trainer to corporate America, I see this as a tragedy for future startups, and the field of innovation.

From the beginning, I followed the amazing rise and spectacular fall of Theranos. At its zenith, the firm soared to a $9 billion valuation. When articles appeared on Elizabeth’s achievements, I was dazzled. Here was a young woman who’d had the gall to drop out of college and start a company that promised to change the game in healthcare.

Theranos invented the nanotainer, which collected blood through a simple, painless finger prick. Several drops of blood could then be tested by another Theranos invention, the Edison. Capable, according to company literature, of performing “hundreds” of separate tests, from standard cholesterol checks to AIDs and leukemia. “The results are faster, more accurate, and far cheaper than conventional methods,” crowed Wired Magazine in a 2014 cover story.

If only it were so. As the 18-week trial revealed, it was all smoke and mirrors.

The Edison was never able to perform any blood tests reliably. But instead of coming clean, Holmes chose to double down and lawyer up. In the book Bad Blood, Wall Street Journal reporter John Carreyrou detailed how Holmes went extreme. She harassed, threatened, and tried to silence internal whistleblowers. Carreyrou was pilloried before the Theranos staff and threatened by Holmes’ attorney and company stakeholder David Boies. Yet his damaging reporting led to Theranos’ unraveling. He carefully documented how Holmes and COO Ramesh “Sunny” Balwani resorted to using conventional test equipment behind the scenes, while pretending to patients and investors that Edison had performed the work.

As the story of Theranos now fades into history, what can be learned from this rare, behind-the-scenes insight into the amazing rise and fall of a startup that might guide the innovation efforts of others? What did Holmes get right, and where did she go wrong?

Innovators need to believe in themselves and think big, and they need self-discipline. Holmes had these attributes in spades. As a journal she kept revealed during the trial, Holmes kept up a grueling personal development regimen: “4 a.m. rise. Thank God, exercise, meditation, prayer. Eat breakfast Eat breakfast of whey and banana. Get to office by 6:45.”

Young and inexperienced in business, she apparently disciplined herself to speak in a deep and unemotional voice to make her seem older and more credible. She wore turtleneck sweaters to subliminally get people to think she might just be the second coming of Steve Jobs, her hero.

She made mentors of people like Larry Ellison and big-name investors like Tim Draper, who in turn helped convince big-name investors like the DeVoss family, the Cox family of Atlanta, and Rupert Murdock, who lost $125 million in the collapse.

Holmes’ was ultra-tough on herself to keep upping her game: “I am never a minute late,” she wrote in one entry. “I show no excitement. [I am] ALL ABOUT BUSINESS. I am not impulsive. I know the outcome of every encounter. I do not hesitate. I constantly make decisions and change them as needed. I speak rarely. I call bullshit immediately.”

Yet the one person she failed to call it on was herself.

And once she edged down that path with little lies, little deceptions, she got trapped into telling bigger and bigger lies. “Our equipment is already in use by the U.S. military on battlefields,” she promised would-be investors. It wasn’t. She was particularly good at establishing credibility, and somehow managed to charm such luminaries as Henry Kissinger, George Shultz, and James Mattis to serve on her board of directors, along with not a single scientist nor medical doctor who might have red-flagged problems with the Edison. (It is amazing that General Mattis apparently didn’t bother to check out the false claim that the military was already piloting the product on battlefields).

Holmes knew how to deflect when her offering proved vulnerable. Every good sales professional knows to “overcome objections.” But whenever visitors started asking her questions that were too close to the Big Lie (the product had major flaws), she aggressively pushed back with, “don’t ask us to reveal trade secrets.” While this shut them up, it did not solve her problem.

Another tool of innovators trying to build the buy-in for their ideas is to use the “fear of losing out” technique. There’s nothing unethical about it, unless you misrepresent facts. This strategy worked well for Holmes – at least for awhile. She used it successfully to secure big contracts, and big investments.

But the lie that did her in was a false attempt to demonstrate credibility. Before the jury, she admitted adding the logos of drug companies Pfizer and Schering-Plough to a marketing pitch to Walgreen Drugstores, at the time considering partnering with Theranos to install instant blood-testing centers in its 9,000 retail locations.

Final lesson to innovators: use creativity to make your case, but don’t fudge even on the smallest details. What Elizabeth did with the logos became a charge of wire fraud and was said to be the smoking gun that all jurors agreed on should send her to prison.

This article originally appeared in Forbes
Image credit: Wikimedia Commons

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Accelerating Technological Innovation with 5G Networks

Accelerating Technological Innovation with 5G Networks

GUEST POST from Chateau G Pato

As we stand on the brink of a new era in connectivity, 5G networks are poised to revolutionize countless industries by delivering unprecedented speed and reliability. This transformation extends beyond just faster downloads on our mobile devices; it lays down the infrastructural backbone for an explosion of innovation across various sectors. In this article, we will explore two compelling case studies where 5G technology is catalyzing innovation and transforming industries.

Case Study 1: Smart Manufacturing and the Industrial Internet of Things (IIoT)

The manufacturing sector is undergoing a significant transformation, driven by the integration of 5G technology into Industrial IoT systems. The enhanced speed and low latency of 5G enable real-time data transmission from a multitude of devices on the factory floor, thus optimizing operations and enabling predictive maintenance.

A prime example can be seen in the operations of Bosch, a global engineering and technology company. By incorporating 5G into their manufacturing processes, Bosch has developed a system that allows for real-time monitoring and analysis of their production lines. This system drastically reduces downtime by predicting equipment failures before they occur. Moreover, Bosch leverages 5G to support highly customizable production lines, which can adapt quickly to changes in consumer demands while maintaining efficiency and product quality.

Case Study 2: Revolutionizing Healthcare with Remote Surgery

One of the most promising applications of 5G technology lies in the field of healthcare, particularly in enabling remote surgery. The ultra-low latency and high reliability of 5G networks make it feasible for surgeons to perform operations from a distance, expanding access to critical medical expertise worldwide.

The potential of this technology was demonstrated in China during an awe-inspiring procedure in which a surgeon used 5G technology to perform brain surgery on a patient from 3,000 kilometers away. The high-speed network facilitated seamless communication and control, offering hope for areas with limited access to skilled healthcare professionals.

The Broad Spectrum of 5G-Driven Innovation

These case studies are just the tip of the iceberg. The capabilities of 5G extend into numerous other domains such as autonomous vehicles, augmented reality, and smart cities, each ripe for disruption and innovation.

In conclusion, 5G networks are not merely an upgrade in telecommunications technology; they represent a driving force for significant technological leaps and transformative business opportunities. Organizations that leverage the capabilities of 5G stand to gain a competitive edge, pushing the boundaries of what is possible and reimagining the future of their industries.

As we move forward into this exciting new world of connectivity, it is crucial for innovators, businesses, and policymakers alike to collaborate in order to maximize the potential of 5G, ensuring that its benefits are deeply and broadly realized across society.

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

Image credit: Pixabay

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New Skills Needed for a New Era of Innovation

New Skills Needed for a New Era of Innovation

GUEST POST from Greg Satell

The late Clayton Christensen had a theory about “jobs to be done.” In his view, customers don’t buy products as much as they “hire” companies to do specific “jobs” for them. To be competitive, firms need to understand what that job is and how to do it well. In other words, no one wants a quarter-inch drill bit, they want a quarter-inch hole.

The same can be said for an entire society. We need certain jobs to be done and will pay handsomely for ones that we hold in high regard, even as we devalue others. Just as being the best blacksmith in town won’t earn you much of a living today, great coding skills wouldn’t do you much good in a medieval village.

This is especially important to keep in mind today as the digital revolution comes to an end and we enter a new era of innovation in which some tasks will be devalued and others will be increasingly in demand. Much like Christensen said about firms, we as a society need to learn to anticipate which skills will lose value in future years and which will be considered critical.

The Evolution of Economies

The first consumer product was most likely the Acheulean hand axe, invented by some enterprising stone age entrepreneur over 100,000 years ago. Evidence suggests that, for the most part, people made stone axes themselves, but as technology evolved, some began to specialize in different crafts, such as smithing, weaving, cobbling and so on.

Inventions like the steam engine, and then later electricity and the internal combustion engine, brought about the industrial revolution, which largely put craftsmen out of work and reshaped society around cities that could support factories. It also required new skills to organize work, leading to the profession of management and the knowledge economy.

The inventions of the microchip and the internet have led to an information economy in which even a teenager with a smartphone has better access to knowledge than a specialist working in a major institution a generation ago. Much like the industrial era automated physical tasks, the digital era has automated many cognitive tasks.

Now as the digital era is ending we are entering a new era of innovation in which we will shift to post-digital computing architectures such as quantum computing and neuromorphic chips and enormous value will be created through bits powering atoms in fields like synthetic biology and materials science.

Innovation, Jobs and Wages

As economies evolved, some tasks became devalued as others increased in importance. When people could go to a smith for metal tools, they had no need to create stone axes. In much the same way, the industrial revolution put craft guilds out of business and technologies like tractors and combine harvesters drastically reduced the number of people working on farms.

Clearly replacing human labor with technology is disruptive, but it has historically led to dramatic increases in productivity. So labor displacement effects have been outweighed by greater wages and new jobs created by new industries. For the most part, innovation has made all of us better off, even, to a great extent, the workers who were displaced.

Consider the case of Henry Ford. Because technology replaced many tasks on the family farm, he didn’t need to work on it and found a job as an engineer for Thomas Edison, where he earned enough money and had enough leisure time to tinker with engines. That led him to create his own company, pioneer an industry and create good jobs for many others.

Unfortunately, there is increasing evidence that more recent innovations may not be producing comparable amounts of productivity and that’s causing problems. For example, when a company replaces a customer service agent with an automated system, it’s highly doubtful that the productivity gains will be enough to finance entire new industries that will train that call center employee to, say, design websites or run marketing campaigns.

Identifying New Jobs To Be Done

To understand the disconnect between technological innovation and productivity it’s helpful to look at some underlying economic data. In US manufacturing, for instance, productivity has skyrocketed, roughly doubling output in the 30 years between 1987 and 2017, even as employment in the sector decreased by roughly a third.

It is the increased productivity growth in manufacturing that has fueled employment growth in the service sector. However, productivity gains in service jobs have been relatively meager and automation through technological innovation has not resulted in higher wages, but greater income inequality as returns to capital dwarf returns to labor.

Further economic analysis shows that the divide isn’t so much between “white collar” and “blue collar” jobs, but between routine and non-routine tasks. So warehouse workers and retail clerks have suffered, but designers and wedding planners have fared much better. In other words, technological automation is creating major shifts in the “jobs to be done.”

A recent analysis by the McKinsey Global Institute bears this out. It identified 56 “foundational skills” that are crucial to the future of work, but aren’t in traditional categories such as “engineering” or “sales,” but rather things like self awareness, emotional intelligence and critical thinking.

Collaboration Is The New Competitive Advantage

The industrial revolution drove a shift from animal power to machine power and from physical skills to cognitive skills. What we’re seeing now is a similar shift from cognitive skills to social skills as automation takes over many routine cognitive tasks, increasingly the “job” that humans are valued for is relating to other humans.

There are some things a machine will never do. An algorithm will never strike out at a Little League game, see its child born or have a bad day at work. We can, of course, train computers to mimic these things by training them on data, but they will never actually have the experience and that limits their ability to fully relate to human emotions.

To see how this is likely to play out, simply go and visit your local Apple Store. It is a highly automated operation, without traditional checkout aisles or cash registers. Still, the first thing that catches your eye is a sea of blue shirts waiting to help you. They are not there to execute transactions, which you can easily do online, but to engage with you, understand what you’re trying to achieve and help you get it done.

We’ve seen similar trends at work even in highly technical fields. A study of 19.9 million scientific papers found that not only has the percentage of papers published by teams steadily increased over the past 50 years, the size of those teams has also grown and their research is more highly cited. The journal Nature got similar results and also found that the work being done is far more interdisciplinary and done at greater distances.

What’s becoming clear is that collaboration is increasingly becoming a competitive advantage. The ultimate skill is no longer knowledge or proficiency in a particular domain, but to build a shared purpose with others, who possess a diverse set of skills and perspectives, in order to solve complex problems. In other words, the most important jobs the ones we do in the service of a common objective.

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

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Digital Transformation and Navigating Change in the Digital Age

Digital Transformation and Navigating Change in the Digital Age

GUEST POST from Art Inteligencia

In an era where the digital landscape is perpetually evolving, organizations face the necessity of transformation to remain competitive and relevant. Digital transformation isn’t merely about adopting new technologies—it’s a holistic journey that involves shifts in culture, operations, and customer interactions. As a thought leader in human-centered change and innovation, I believe the key to successful digital transformation lies in balancing technology with the human elements of change. Let’s explore how organizations are navigating this complex journey through strategic case studies and actionable insights.

The Essence of Digital Transformation

To truly grasp digital transformation, one must understand that it encompasses much more than digitizing existing processes. It’s about re-imagining how your organization functions and interacts with both employees and customers, leveraging technologies like artificial intelligence, big data, and cloud computing. At its core, digital transformation seeks to enhance efficiency, improve customer experience, and foster innovation to create a sustainable competitive advantage.

Case Study 1: LEGO’s Strategic Resilience

Background

LEGO, the beloved brick maker, is an exemplar of how a traditional company can thrive amidst digital transformation. In the early 2000s, LEGO faced decreasing sales and was nearing the brink of financial collapse. The company needed a thorough digital overhaul to adapt to changing market dynamics and consumer expectations.

Transformation Journey

LEGO embraced digital transformation by integrating digital tools with its physical products. Recognizing the growing influence of digital play, they launched LEGO Mindstorms, a programmable robotics kit that merged software with their iconic bricks. Furthermore, LEGO ventured into the digital gaming space, creating mobile apps and video games that extended their brand universe into digital domains.

The Human Element

LEGO prioritized customer engagement throughout its transformation. By inviting fans to co-create new designs through the LEGO Ideas platform, they effectively tapped into their community’s creative potential. Internally, LEGO fostered a culture of innovation, encouraging employees to experiment and embrace new ideas. This balance of human-centric strategies with digital initiatives has helped LEGO sustain its iconic status while evolving with the times.

Case Study 2: GE’s Digital Industrial Revolution

Background

General Electric (GE), a giant in the industrial sector, embarked on a bold digital transformation strategy aiming to become the world’s leading digital industrial company. Facing the pressures of a rapidly digitizing world, GE sought to revitalize its operations and product offerings through data-driven solutions.

Transformation Journey

GE initiated the development of its Industrial Internet of Things (IIoT) platform called Predix. By equipping industrial equipment with sensors and connecting them to the cloud, GE extracted valuable insights to optimize performance, predict failures, and enhance customer value. This strategic pivot toward digital services represented a significant departure from their traditional manufacturing focus.

The Human Element

GE recognized the crucial role that organizational culture played in supporting this transformation. Leadership prioritized up-skilling employees, ensuring they were equipped with the necessary data analytics and digital skills. By fostering an agile work environment, GE empowered teams to collaborate effectively and innovate continuously. This human-centric approach enabled GE to navigate the challenges of digital transformation while capitalizing on the opportunities it presented.

Guiding Principles for Navigating Digital Transformation

  • Align Strategy with Purpose: Clearly define the purpose behind your digital transformation efforts and ensure they align with your organization’s vision and goals.
  • Engage Stakeholders: Foster open communication and engage employees, customers, and partners early in the transformation process.
  • Iterate and Adapt: Adopt an agile mindset, allowing for iterative improvements and adjustments as new insights emerge.
  • Invest in Learning: Prioritize workforce development to build the digital skills needed to embrace new technologies.
  • Focus on Customer Experience: Leverage digital capabilities to enhance customer interactions and deliver personalized experiences.

Conclusion

Digital transformation is an ongoing journey rather than a one-time project. Organizations must navigate complexities by integrating technology with human-centered strategies. By learning from successful case studies like LEGO and GE, businesses can model effective approaches to transformation that center around innovation, resilience, and sustainable growth. Embrace the digital age with clarity, purpose, and a people-first approach, and your organization will be well-positioned to thrive now and in the future.

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

Image credit: Pexels

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Problem Seeking 101

Problem Seeking 101 Charles Kettering

GUEST POST from Arlen Meyers

When federal agencies in charge of protecting Americans’ health recommended that there should be a pause in the administration of the Johnson & Johnson (J&J) COVID-19 vaccine, state health leaders listened and suspended its use. People may experience a mild headache after vaccination. The headaches associated with the blood clot occur one to three weeks after the shot and are more severe.

One expert recommended asking patients, “Is this like headaches you’ve had before? Or is the quality of the headache something that you’ve never experienced before?”

The 12 steps to biomedical innovation starts with being a problem seeker, not a problem solver. Eventually, to be successful, customer problems and solutions need to meld around a VAST business model i.e. one that is not just profitable, but that demonstrates:

1. Validity Regardless or which elements of your model you choose, they have to be valid. In other words, the dogs have to eat the food. When the dog won’t eat the food, you’ll have to change your approach and try again.

2. Automaticity At the very start of planning your venture, you should think about how you are going to work on your business, not in it. Reducing hands on time to manage operations will give you more time to lead the company and create strategies for growth and give you more personal time to enjoy the fruits of your success. Outsourcing, automating or using technologies to ramp up operations, sourcing and distribution is a key part of scaling, and something that investors want to see…which brings us to the next piece.

3. Scalability Your business model is primarily a way to create a business machine that can produce an infinite number of products. Think of it as a device that takes in customers and creates profits out the other end and can do so at quicker and quicker speeds.

4. Time and Traction Finally, your model need to create as much profit as quickly as possible with a growing customer base that is loyal to your brand.

Many doctors, scientists and engineers start with solutions looking for a problem. Some find it or, eventually, as their inventions or technology evolves, markets appear to those who have the talent to see them. The more typical model, and one that is more common among the startup community, is to find a problem and devise a solution.

But, how do you pick the IDEAL opportunity given the almost infinite possibilities? Here are some tips:

I Identify the problem: Seeing a problem is an important skill and core competency of savvy entrepreneurs. It typically is the result of personal experience, primary research talking or watching others or secondary research. Whichever problem you pick, look for ones that:

  1. Will make a very big difference in people’s lives if you solve it
  2. Has the potential to be very profitable or create lots of user defined value, typically at least 10x the value compared to existing offerings or the status quo.
  3. Is something that taps into your passion or satisfies your psychic need
  4. Anticipates future customer/stakeholder wants and needs
  5. Has an extremely high level of market pain and frustration, where customers know they have a problem and have unsuccessfully and repeatedly tried to solve it
  6. Has limited barriers to entry
  7. Has the right potential risk-return profile that matches yours
  8. Is not one dominated by incumbents
  9. Is easy to explain and understand
  10. Someone is willing to pay enough for your solution so that you can make it profitably

Where massive success comes – where a good idea becomes great – is when it meets five simple criteria:

  1. It is the first solution to a problem or gap (it is “innovative”)
  2. It is the first WORKING solution to a problem or gap (it is “innovative and effective”)
  3. It is the most affordable, comparable, option for its market (it is “innovativeeffective and affordable”)
  4. It consistently examines its effectiveness and seeks to improve (it is “innovativeeffectiveaffordableand adaptive”)
  5. It is powerful enough to create a loyal following that naturally wants to – and does – share the idea with others (it is “innovativeeffectiveaffordableadaptive and influential”)

How do you find problems worth solving?

  1. 1. Solve a problem that you already face
  2. 2. Observe a problem and solve it
  3. 3. Anticipate a problem and solve it
  4. 4. Create a problem and solve it
  5. 5. You have a personal stake in solving it
  6. 6. The 3 W’s: Will customers WANT it, is it WORTH it, can you WIN at it?

Identifying a problem starts with identifying a customer archetype that has it. Beyond guessing, identifying that person and describing their problem can only be done by talking to, working with or observing potential customers.

Doctors call it taking a pain history and documenting the chief pain complaint, the history of the present illness and their past medical history. In other words, talk to people and have them describe:

  1. Where is your pain?
  2. How bad is it?
  3. How long have you had it?
  4. On a scale of 1-10, how would you describe it?
  5. What have you done in the past to make it better?
  6. What makes it better or worse?
  7. What other problems do you have that makes the pain better or worse?
  8. How have you treated it in the past?
  9. Is the pain constant or intermittent?
  10. What would you pay to relieve the pain?

Startup geeks call this process customer discovery by “getting out of the building”. Doctors call it making house calls. Here is the ultimate list of customer discovery/development questions.

Here is a customer interview script.

Remote patient programs , for example, don’t just automatically work out. They have to be carefully planned and developed in order to gain traction and produce results. Most importantly, they have to target the right patients.

D Define and represent the problem

Primary or secondary research should give you some idea about :

  1. Market size
  2. Market growth
  3. The competitive landscape
  4. Where you intend to play
  5. What you see that others don’t.

Once you have done these things, then you can:

E Explore and experiment with possible strategies or solutions and risks involved with each by identifying customer segments and creating a value proposition canvas and a business model canvas

Here’s an into to value proposition design

When you create new value propositions and growth you need to focus on high-value customer jobs. These are not necessarily the most important jobs from your customers’ perspective. They are the most promising jobs from your perspective as a solutions provider. High-value customer jobs are characterized by the following, they are:

  • Important: When customer’s success or failure to get the job done leads to essential gains or extreme pains, respectively. Examples are managing the security risk of an ecommerce website, or designing and implementing the strategy at a company.
  • Tangible: When the pains or gains related to a job can be felt or experienced immediately or often. Examples are traffic during your daily commute, or managing a constantly overflowing email inbox.
  • Unsatisfied: When current value propositions don’t help to relieve pains or create desired gains in a satisfying way. Maybe the desired value proposition doesn’t even exist. Examples are the inexistent cure for hangovers, or calorie-free chocolate.
  • Lucrative: When many people have the job with related pains and gains or when a small number of customers are willing to pay a premium. An example of the former is listening to music on the go. An example of the latter are rare diseases for which customers or insurers are willing to pay a premium.

Here is a list of stakeholders that represent customer segments. But, job title is only one part of creating a customer persona. Here’s what Linkedin Sales Navigator won’t tell you and how to fill the gaps.

If you listen to or watch customers enough, you’ll be surprised at what you’ll discover. Here are some examples.

Don’t send out a questionnaire. Here’s why you need to interview stakeholders to identify their value factors that are most important until you get saturation.

A Act on a selected strategy or solution

L Look back and evaluate

Most businesses fail because 1) they don’t offer the right value proposition-market fit or 2) they don’t have a viable business model. Your business model canvas is anchored on your value proposition. Your value proposition (doing the job the customer wants you to do, removing the pain they have to endure to do it now and offering a product that meets or exceeds customer expectations) starts with understanding your customers. Focusing on your customers or market segments starts with those who touch the problem every day.

Design thinking describes this process i.e. understanding a problem from the customer perspective, putting yourself in their shoes by either interviewing them, watching them or experiencing what they experience. and create a range of solutions that you then design, prototype and test.

Design Thinking Diagram

Customer centered design means you have to learn how to talk to humans.

Before you do all this, though, decide whether the industry or market you decide to tackle is, the words of my friend, Tom Higley, the CEO at www.101010.net, the right founder-opportunity fit. That usually means finding independence, mastery and purpose and scratching all those psychological itches, be they pathological or not.

Perhaps the most powerful problem is one that you make personal but don’t take personally.

Here’s the problem with saying, “Don’t bring me problems, bring me solutions.”

The education pioneer, John Dewey, said, “a problem well-put is half solved”

That happens when you arm yourself initially with the information you get from being a problem seeker, not a problem solver. Even academic scientists are getting the message.

Image credits: MisterInnovation.com, Interaction Design Foundation

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