Monthly Archives: September 2021

How AI is Revolutionizing Workplace Productivity

The Future of Work

The Future of Work: How AI is Revolutionizing Workplace Productivity

GUEST POST from Art Inteligencia

As the world rapidly embraces technological advancements, Artificial Intelligence (AI) is emerging as a transformative force in reshaping the future of work. From automating mundane tasks to augmenting human capabilities, AI is revolutionizing workplace productivity. This thought leadership article explores the profound impact of AI on the future of work, focusing on two noteworthy case studies that highlight its potential to enhance efficiency, creativity, and collaboration in diverse industries. By understanding these examples, we can proactively adapt and capitalize on the benefits AI brings to drive productivity in our own professional lives.

Case Study 1: Manufacturing and Supply Chain

AI has ushered in a new era of productivity in the manufacturing and supply chain industry. Traditional labor-intensive processes have been streamlined, optimized, and made more efficient through the implementation of AI-driven technologies. One such example is the global conglomerate General Electric (GE), which integrated AI-powered robots into their production lines to automate repetitive tasks. The introduction of AI reduced production time, decreased error rates, and increased overall process efficiency. This augmentation of human labor with AI resulted in improved workplace productivity and allowed employees to focus on more complex and strategic tasks. By embracing AI, GE demonstrated that automation, when applied thoughtfully, can be a powerful tool for transforming the workplace and optimizing productivity.

Case Study 2: Creative Industries and Content Creation

AI is making significant strides in enhancing productivity within creative industries. Companies like Adobe have leveraged AI to streamline content creation processes, saving valuable time and boosting creativity. Through their AI-powered platform, Adobe Sensei, they enable automated image and video analysis, simplifying time-consuming editing tasks. For instance, content creators can now rely on AI algorithms to auto-generate complex graphics, suggesting potential enhancements based on design trends and user preferences. By alleviating repetitive design work, professionals can focus on higher-value creative decision-making, resulting in greater productivity and improved output quality. This integration of AI in creative industries demonstrates the synergy between human ingenuity and AI-driven automation, empowering professionals and stimulating their creative potential.

The Future of Work: AI as a Collaborative Partner

While the aforementioned case studies highlight the profound impact of AI on workplace productivity, it is essential to recognize that AI’s role is not limited to automation alone. The future of work lies in collaborative synergy between humans and AI, with AI serving as an intelligent partner rather than a complete replacement. By leveraging AI’s capabilities, professionals can amplify their creative thinking, problem-solving skills, and strategic decision-making. AI can effortlessly analyze vast amounts of data, making predictions and suggesting insights that humans might overlook. As a result, professionals can focus on leveraging their unique human skills, such as empathy, critical thinking, and relationship building. By adopting AI as an augmenting ally, professionals in various industries can unlock unprecedented levels of productivity and innovation.

Conclusion

AI is undoubtedly revolutionizing workplace productivity, as showcased by the case studies in manufacturing and supply chain management, as well as creative industries. The transformative potential of AI lies in augmenting human capabilities, automating mundane tasks, and facilitating informed decision-making. By embracing AI as a collaborative partner, professionals can free up time, optimize their performance, and focus on high-value tasks that leverage their unique talents. As the future of work unfolds, it is imperative for human-centered professionals to actively embrace and adapt to AI, harnessing its power to revolutionize workplace productivity for the betterment of 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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What you should learn from the Google Health failure

What you should learn from the Google Health failure

GUEST POST from Arlen Meyers

There used to be a time when almost everyone was asking, “What would Google do with sickcare?”

Google health has pulled the plug on their sickcare venture. So did Haven. So did Microsoft. Maybe if the folks in the corner offices (remember those) or at their beach villas working from home talked to some doctors sooner, things might have been better. You remember who doctors are, right? They are those people in the white coats who actually take care of the patients you are trying to convince to use your products.

However, Google, by no means, is getting out of the sickcare business. Google says it is ramping up its investments in health-focused initiatives even as it dissolves its single unified health division. They are reorganizing and focusing on other products and services.

What can startups, scaleups and other grownups trying to tame the sickcare beast learn from these megafailures?

  1. Know when to pull the plug and learn from your mistakes

2. Don’t make the two most common reasons why your venture will fail. Adam Bosworth, a former manager of Google Health, who left in 2007 before the service was introduced, said the service could not overcome the obstacle of requiring people to laboriously put in their own data.

“In the end,” Mr. Bosworth said, “it was an experiment that did not have a compelling consumer proposition.” In other words, it was a solution looking for a problem.

  1. Don’t buy into the myth that patients are good consumers and are eager to take care of themselves. Even when the relatively few patients do give DIY medicine a shot, to use a COVIDism, here are the perils and pitfalls.
  2. Realize how hard it is to change doctor and patient behavior
  3. Sickcare is a personal services business, not a technology business that happens to take care of patients.
  4. Patients rarely, if ever, want to pay for anything that has to do with their health if someone else will. That’s why everyone is chasing B2B models, like self-insured employers, instead of B2C models
  5. You have to offer a compelling value proposition to multiple sickcare stakeholders simultaneously, not just the patient, to be successful
  6. Follow the money
  7. Automate your technology solution so end users have to do as little work as possible. I recently bought an at home blood pressure cuff from an online medical department store (no, not Amedzon) that measures my blood pressure, tells you when the cuff in not on my arm correctly, measures pulse rate too, sends the information to an app for storage where it calculates the average of the readings, and allows me to send the info to whomever I want with the push of a big button , all for under $60 (no delivery charge). It even synchs to Apple health. The bad news is that I don’t want to use Apple health. I’ve done enough already.
  8. Be a problem seeker, not a problem solver
  9. Don’t fall prey to the distraction of traction.
  10. Constantly evaluate your underlying business model hypotheses by repeatedly testing them

The bottom line is that all entrepreneurs and new product developers have one and only one job: figure out what the customer wants you to do and give it or sell it to them at a profit. It’s too bad you can’t just push one big button to make that happen. Well, at least they didn’t call it Google Sick.

Image Credit: Google

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Join Me for Innovation Day 2021 – October 15, 2021

Join Me for Innovation Day 2021 - October 15, 2021

Join me for the American Society for Quality’s (ASQ) Innovation Day 2021 on October 15,2021.

The theme for this year’s event is intersectional global value.

There will be an exciting line-up of innovation-oriented keynotes, in-depth topic speakers, practitioner and student lightning-talk sessions, panel discussions, workshops, round-tables, meet the author sessions, and a diversity-oriented networking experience.

I will be delivering the closing keynote to the event in my role as innovation speaker.

I hope you will join me for this live virtual event.

More details coming soon!
(including more details on the speakers and sessions)

Please register here: https://events.eply.com/ASQTCInnovationDay2021

All proceeds go to funding our inaugural ASQ Innovation Scholarship.

ASQ Innovation Day 2021 Page 1ASQ Innovation Day 2021 Page 2

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Building a Culture of Innovation

Strategies for Engaging Employees

Building a Culture of Innovation

GUEST POST from Chateau G Pato

In today’s fast-paced and ever-changing business landscape, organizations striving for sustainable growth and success must foster a culture of innovation. Building such a culture starts with actively engaging employees, harnessing their creativity and empowering them to contribute their best ideas. This thought leadership article will explore effective strategies for cultivating a culture of innovation, supported by two inspiring case studies that demonstrate the power of employee engagement in driving innovation.

Case Study 1: Google’s “20% Time Rule”:

Google, the tech giant known for its innovative products, follows a unique approach to inspire employee creativity and engagement. In order to foster innovation, Google allows employees to spend 20% of their time on projects they personally find interesting or meaningful. This initiative has led to major breakthroughs, including the creation of Gmail and Google Maps. By empowering employees to work on passion projects, Google demonstrates a commitment to employee interests while encouraging their investment in the company’s success. This strategy strengthens engagement and has resulted in a culture of innovation ingrained within Google’s DNA.

Strategies:

1. Promote Open Communication Channels:
Building a culture of innovation requires establishing open communication channels across all levels of the organization. Encourage idea sharing by implementing platforms for employees to submit suggestions, hold brainstorming sessions, and facilitate cross-functional collaboration. Regular feedback sessions and town hall meetings provide opportunities for employees to be heard and feel valued, fostering a culture where creativity thrives.

2. Invest in Employee Development:
Nurture a culture of innovation by investing in employee development programs. Offer workshops, training sessions, and mentorship programs that encourage continuous learning and skill development. These initiatives not only foster individual growth but also enable employees to approach problem-solving from new perspectives, enhancing their ability to generate innovative ideas.

3. Celebrate and Reward Innovation:
Recognize and reward innovative ideas and contributions. This can be done through formal programs, such as Innovation Awards or Hackathons, which showcase the successful implementation of employee-driven initiatives. Publicly acknowledging and celebrating innovation reinforces a culture where employees are motivated to think creatively and take risks, knowing their efforts will be recognized and appreciated.

Case Study 2: 3M’s “15% Culture”:

3M, the multinational conglomerate known for its innovative products, introduced the “15% Culture” to foster employee-driven innovation. Employees are encouraged to spend up to 15% of their work time on projects outside their regular responsibilities. This initiative led to the invention of products like Post-it Notes and Scotchgard. The 15% Culture showcases 3M’s commitment to providing time and resources for employees to explore their creative ideas, fostering engagement and driving continuous innovation.

Conclusion

Building a culture of innovation starts with engaging and empowering employees to contribute their best ideas. By implementing strategies like promoting open communication, investing in employee development, and celebrating innovation, organizations can create an environment where individuals feel supported to think outside the box. Case studies from Google and 3M highlight the tremendous impact that employee engagement can have on driving innovation and shaping a successful future. Embracing these strategies will not only foster a culture of innovation, but also enhance employee satisfaction, attract top talent, and position organizations at the forefront of their industries.

SPECIAL BONUS: The very best change planners use a visual, collaborative approach to create their deliverables. A methodology and tools like those in Change Planning Toolkit™ can empower anyone to become great change planners themselves.

Image credit: Pexels

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The Rise of Telemedicine

A Game-Changer in Healthcare Access

The Rise of Telemedicine

GUEST POST from Art Inteligencia

In recent years, the advancement of technology has revolutionized various sectors, and healthcare is no exception. Telemedicine, the practice of using digital communication technologies to provide remote medical care, is rapidly emerging as a game-changer in enhancing healthcare access. By bridging geographical barriers and minimizing logistical challenges, telemedicine has the potential to transform the way we receive medical treatment. This article explores the rise of telemedicine and presents two case studies to demonstrate its impact on improving healthcare access for both urban and rural populations.

Case Study 1 – Urban Accessibility: Dr. Smith’s Virtual Clinic

In bustling urban areas, long wait times, traffic congestion, and limited availability of quality healthcare professionals tend to be common issues. Dr. Michelle Smith, a general practitioner based in a metropolitan city, recognized these challenges and decided to launch a virtual clinic utilizing telemedicine.

By leveraging video conferencing platforms and mobile applications, Dr. Smith was able to connect with her patients remotely. Patients were able to schedule virtual appointments, receive consultations, and even share diagnostic reports or lab results with her through secure online platforms. To further personalize the experience, Dr. Smith integrated wearable devices and health monitoring tools to remotely track her patients’ vital signs and symptoms.

The implementation of telemedicine not only eliminated the need for patients to travel long distances, but it also reduced waiting times significantly. Additionally, Dr. Smith could effectively manage a larger patient base, providing healthcare services beyond the traditional office hours. As a result, her clinic experienced increased patient satisfaction, improved health outcomes, and reduced overall healthcare costs.

Case Study 2 – Rural Access Enhancement: The Texas Telehealth Initiative

In remote rural areas, access to healthcare services is often limited due to the scarcity of healthcare facilities and healthcare professionals. The Texas Telehealth Initiative demonstrates how telemedicine has tackled these challenges and improved healthcare access.

The initiative aimed to provide comprehensive healthcare services to rural communities across Texas through a network of telemedicine clinics. Patients living in isolated rural areas could now consult with specialists located in urban cities without the need for long journeys or expensive travel arrangements.

For instance, a patient suffering from a cardiological condition in a small town could remotely access a cardiologist in a big city for both diagnosis and treatment recommendations. Implementing high-definition video conferencing systems, medical professionals could examine patients virtually, review their medical history, and make accurate assessments. Moreover, real-time collaboration between specialists reduced the chances of misdiagnosis and improved treatment outcomes.

By reducing the barriers caused by geographical distance, the Texas Telehealth Initiative effectively enhanced healthcare access in rural communities. Patients who previously faced limited services or were compelled to travel long distances for specialized care could now receive top-notch medical attention from the comfort of their local clinic. This initiative undoubtedly resulted in improved patient outcomes, higher patient satisfaction, and reduced healthcare costs for both patients and healthcare organizations.

Conclusion

The rise of telemedicine presents a unique opportunity to transform healthcare access for vast numbers of individuals. As demonstrated by the aforementioned case studies, telemedicine offers immense potential in improving accessibility for both urban and rural populations. By leveraging digital communication technologies, healthcare professionals can overcome geographical barriers, reduce waiting times, and optimize the utilization of healthcare resources.

However, it is essential to ensure the responsible and ethical integration of telemedicine into existing healthcare systems. Policymakers, regulators, and healthcare providers must collaborate to establish clear guidelines, address privacy concerns, and tackle potential technical challenges. Only through careful planning and implementation can telemedicine truly transform healthcare access worldwide, making quality healthcare available to everyone regardless of their geographical location.

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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The Role of Change Management in Driving a Successful Digital Transformation

The Role of Change Management in Driving a Successful Digital Transformation

GUEST POST from Chateau G Pato

Digital transformation has become a critical imperative for organizations across industries. With the rapid advancements in technology and the changing expectations of customers, businesses must continuously reinvent their strategies, processes, and offerings. However, for any digital transformation initiative to succeed, one essential element cannot be overlooked: effective change management. In this thought leadership article, we will explore the significance of change management in driving successful digital transformations, backed by two compelling case studies.

Case Study 1: Netflix’s Transformation from DVD Rentals to Streaming Powerhouse

Netflix is a prime example of a company that embraced change management to fuel its transition from a DVD-by-mail rental service to a digital streaming giant. In 2007, following the introduction of their streaming service, Netflix faced several barriers, including resistance from customers accustomed to DVDs and the need to negotiate licensing agreements with content providers. Recognizing the need for comprehensive change management, Netflix’s leadership team implemented a multi-pronged approach:

1. Visionary Leadership: Netflix CEO, Reed Hastings, championed the vision for digital streaming, communicating it clearly to the entire organization. This ensured that everyone understood the need for change and were aligned with the company’s transformation goals.

2. Employee Empowerment: Netflix focused on enabling and empowering their employees during the transition. They invested heavily in employee training programs to enhance digital skills and actively encouraged risk-taking and innovation. By embracing the change from within, employees played a pivotal role in driving the company’s digital transformation forward.

3. Customer-Centricity: To ensure customer buy-in, Netflix carefully considered its user experience design. They conducted extensive user research, actively solicited feedback, and adapted their platform based on user preferences. This customer-centric approach allowed Netflix to seamlessly steer customers towards digital streaming and make it a preferred mode of content consumption.

By combining visionary leadership, employee empowerment, and customer-centricity, Netflix successfully navigated the challenges associated with their digital transformation. Today, they are the unquestionable leader in the streaming industry.

Case Study 2: General Electric (GE) and the Industrial Internet of Things (IIoT)

GE, a renowned conglomerate, embarked on its digital transformation journey by embracing the Industrial Internet of Things (IIoT). To remain competitive in an evolving landscape, GE recognized the need to leverage technology to transform its products into intelligent, connected devices. With this objective in mind, GE adopted a change management strategy that involved the following key elements:

1. Change Communication: Clear and consistent communication played a critical role in GE’s digital transformation. The company established a robust communication framework to educate stakeholders about the benefits of IIoT and its potential impact on various departments. This transparency helped allay concerns, build support, and foster a shared understanding of the transformation’s goals.

2. Skills Development: GE prioritized the development of digital skills across its workforce. Recognizing that digital transformation necessitates significant shifts in day-to-day operations, the company offered training programs, mentorship, and reskilling initiatives for its employees. By equipping employees with the necessary skills, GE ensured that they were well-prepared to adapt to new technologies and play vital roles in the company’s digital future.

3. Agile Methodologies: Embracing agile methodologies, GE adopted a phased approach to its digital transformation. By breaking the transformation into manageable increments, the company could continuously evaluate progress, iterate on solutions, and drive organizational alignment. This iterative approach minimized disruption and ensured a smooth transition to the digital landscape.

Through effective change management strategies, GE successfully modernized its offerings, created new revenue streams, and positioned itself as a leader in the IIoT space.

Conclusion

The case studies of Netflix and GE highlight the importance of change management in driving successful digital transformations. From visionary leadership and employee empowerment to customer-centricity and robust change communication, these organizations demonstrated the power of change management in achieving their digital goals. As businesses increasingly undertake digital transformation journeys, they must prioritize change management efforts to navigate complexities successfully, foster organizational readiness, and secure long-term success in the digital era.

SPECIAL BONUS: The very best change planners use a visual, collaborative approach to create their deliverables. A methodology and tools like those in Change Planning Toolkit™ can empower anyone to become great change planners themselves.

Image credit: Unsplash

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The Ethics of Futurology: Exploring Its Impact on Society

The Ethics of Futurology: Exploring Its Impact on Society

GUEST POST from Art Inteligencia

The term “futurology” has become increasingly associated with the exploration of the potential social, economic, and technological effects of the future. It is a field of study that requires a great deal of ethical consideration, due to its potential to shape the lives of individuals and entire societies. In this article, we will explore the ethical implications of futurology and its impact on society.

The most obvious ethical concern of futurology is that it can be used to shape the future in ways that may not be beneficial to society as a whole. For example, futurists have long been concerned with the potential impacts of automation and artificial intelligence on the workforce. Such technology could lead to massive job losses, which would have a devastating effect on the economy and lead to a rise in inequality. As a result, it is important to consider the implications of such technologies before they are implemented.

Furthermore, futurology can be used to create a vision of the future that may be unattainable or unrealistic. Such visions can shape public opinion and, if taken too far, can lead to disillusionment and disappointment. It is therefore important to consider the implications of any predictions made and to ensure that they are based on real-world data and evidence.

In addition to the potential ethical concerns, futurology can also have positive impacts on society. By predicting potential social, economic, and technological trends, futurists can help governments and businesses prepare for the future. This can help to create more informed and efficient decision-making, leading to better outcomes for all.

Despite the potential benefits of futurology, it is important to consider the ethical implications of its use. It is essential that any predictions made are based on evidence and do not lead to unrealistic expectations or disillusionment. It is also important to consider the potential impacts of any new technologies and to ensure that they are implemented responsibly. By doing so, futurology can help to shape a better future for all.

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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The Fail Fast Fallacy

The Fail Fast Fallacy

GUEST POST from Rachel Audige

The Fail Fast Fallacy is that while we speak of failing fast, many corporate executives are not going to do so successfully because a) corporates continue to expect success b) the highest achievers are the ones being asked to fail at what they are best at and c) we are injecting perfectionism into our testing and prototyping.

As lean and agile methods have permeated businesses both large and small, the notions of excellence and success have been replaced by catch cries around ‘failing fast, often and cheap’.

There is a certain amount of what we call ‘innovation theatre’ (the speak but not the action) around failure awards and risk rewards in the innovation ecosystem. It sounds brilliant but I am yet to walk into a room of employees that does not speak of ‘fear of failure’ in the organisation.

Notwithstanding some excellent programs around experimentation, with most clients, I hear:

  • “You are not paid to experiment. You are paid to know.”
  • “You can’t take risks or try anything new.”
  • “There is no way that I will agree to take on a big project like that. I’d rather play it safe.”
  • “We lose so much time getting all the boxes ticked.”

I now work with a variety of engineering companies and most not only encounter this issue but also cannot afford to fail. The investments are too substantial or the safety risks too great.

As a general rule, perfectionism is rewarded. Mistakes are not. The corporate paradigm is predicated on providing shareholder value and this does not leave a lot of wriggle room for mistakes.

There also seems to be a dissonance in organisations between what is preached and what is practiced or, in other words, what is promised and what is, in fact, punished. We hear the leadership talk about taking risks but, in parallel, see a colleague fired when an initiative fails.

EXPERTS DON’T LIKE TO FAIL

Not only is the general idea of failing an issue but, specifically, the ones most expected to ‘fail fast’ and be experimental are often those least willing to. Let me illustrate what I mean:

You know when you are amongst the high potentials in a corporate. You tend to get the ‘good gigs’. You are sent to head office for special training programs. You get more opportunities. You get more time with the boss. You also have more occasions to get involved in special projects.

One of the projects I was interested in when I was in a corporate role was part of a four-pillar strategy and the one I was dying to lead was around building an innovation culture. My title didn’t include the word ‘innovation’—no one had that in the organisation at the time—but I was given the green light to drive an innovation community, train coaches and inject innovative thinking across the business. I received the flack, but I also enjoyed the buzz. I did this alongside other ‘high potentials’. Anyone who was given permission to step outside their objectives and spend time helping others to solve their problems tended to be perceived as being excellent at their day job and was encouraged to do more.

Most of the people in the project were high performers in their roles and, ironically—unless an exceptional growth mindset prevails— probably the least likely people to want to be seen making mistakes or failing.

This is entirely consistent with research performed by Liz Wiseman who identified how our expertise and expectation of excellence when working in our area of expertise prevents us from exposing ourselves to less than excellent work.

A similar desire for excellence and perfectionism creeps into prototyping and the way we test out ideas. There is a tendency to overwork the prototype, to create something fully-functioning. As Alberto Savoia—who coined the word ‘pretotyping’—said: “The tough part is getting over our compulsion for premature perfectionism and our desire to add more features, or content, before releasing the first version.”

A pretotype is a stripped-down version of a product, used to merely validate interest. For your restaurant with delivery service, a pretotype could be a simple website that tracks how many visitors come to your page, giving you an idea as to whether or not people would be interested in ordering food from you.

Melbourne-based thought leader, Steve Glaveski, writes that corporate executives have understood the need to prototype but are not tending to ‘fail fast’ because “What they create is too often fully-functioning concepts which cost thousands of dollars and take months to develop.”

This may be particularly true for the technology providers. “People get stuck into tech too quickly,” explains Streicher Louw, Behavioural Strategist and former Innovation Lead at NBN. “They try to build the prototype in too high a fidelity. The moment you start carving that prototype into tech, it is less malleable.”

Not only is it ‘less malleable’ but the teams behind the prototyped concept have a strong incentive to ‘prove’ the value of the investment. The more you invest in it, the harder it will be to let it go and admit it was the wrong thing. You are likely to add more bells and whistles and expect that this will win the customer over.

Louw, who spent seven years in Australia’s National Broadband Network (NBN) where there is a strong culture of Human Centred Design and experimentation, says: “We get so much more for our efforts if we take the time to work out what problem a product solves for a customer and how he intends to use it before we start to build it.”

In many cases, it leads to months of wasted time and large sums of money, energy, hopes and dreams.

So how can we do a better job of failing fast?

EMBRACE DISCOMFORT

The challenge is to make failing more palatable, more tenable. To do that we need to get comfortable with feeling uncomfortable. How? There are a number of steps organisations can take and environments they can create.

1. Don’t just tell them, enable them.

At innovation conferences, we occasionally hear from corporate intrapreneurs who have instigated failure awards or CEOs who have learned to be vulnerable with their organisation and share mistakes. Both remain the exception. The most realistic initiatives I have encountered do not overplay the tolerance for risk taking or mistakes, rather, they remove obstacles for doing things differently and invest in the enablers (robust methods, resources, skilled experts). People are rewarded for working with other teams to help solve their problems. More focus is put on the work that goes on behind the scenes to get to a result (good or bad). People are not simply told to ‘go and innovate’; they are offered solid training in methods that will help with the full innovation journey. People are not fired for trying.

2. High performers should work outside their comfort zone to free them up to make mistakes.

Have you noticed how people feel safer asking what they think is a ‘stupid question’ in contexts where they are not expected to know better? In my innovation lead role, the workshops I ran for product managers in divisions outside mine were probably where I could bring most value. I was expert in a method but knew nothing about their business and felt entirely free to ask the naive and pointy questions. The participants were also more receptive to my input because I was not invested in the project; I wasn’t perceived as having an agenda.

“Put your staff in situations where they can’t help but make mistakes. Position them at the bottom of a learning curve where they’ll need to scramble back to the top by taking small steps, making mistakes, and getting fast feedback. Do more than make failure an option, make it inevitable,” advises Liz Wiseman.

This realisation is apparent in the Wiseman Group’s research which suggests that we should deliberately put people outside their area of expertise so that they give themselves permission to produce the minimum viable product, “not because they are told to, but because that’s all they know how to do”.

When we work in this ‘rookie mode’, as Wiseman calls it, we approach things in surprisingly productive and innovative ways.

Many of us have experienced this and I use this when assigning innovation champions outside their area of expertise. When we step out of our comfort zone and are not expected to be experts, we are less weighed down by expectations. Our novice state makes us more curious, we listen better and we are more humble and receptive to others. When I have managed others or observed myself in this mode, I find that I am more likely to make mistakes but I get over them faster. You tend to chunk things down and check on how you are doing and learn and adjust in a more agile way.

3. Run thought experiments that embrace ambiguity (with constraints).

One of the safest ways of testing what you know before talking with the customer is to run ‘safe’ thought experiments. Some simple yet robust approaches I have used include:

▶ Mapping exercises where you walk in the shoes of your customer and explore the ‘so what?’ of the key features of a given offering. SIT calls this ‘Attribute Value Mapping’ and it’s a great way of not only identifying sticky value propositions but unearthing what you need to improve to make the proposition all the more true!

▶ Bias-busting exercises using tools to scan for any mental fixedness that might have undermined the concept—before you move to testing it.

▶ Asking the ‘empty chair’. It is an established practice to include empty chairs for absent stakeholders. You then check your idea from their perspective.

4. Get used to working with a range of low-fidelity prototypes.

Try to use the fastest method of validation that you think is reasonable. The cadence of business is increasing. Cycles have to decrease. Fast prototyping is crucial. The term comes from the Greek word prōtotypon meaning ‘a first or primitive form’. It is just that.

“You will uncover the product you are supposed to make by prototyping the one you thought you should make,” says Streicher Louw.

If we are truly going to ‘fail fast’, we need to avoid falling in love with our idea and move quickly and cheaply. Be experimental and document both your hypotheses and what you learn. Teams should be created that enable effective experimentation and include a copywriter, a graphic artist, a data specialist and someone well versed in the products.

In my experience, there is tremendous value in rough concepts as a quick and easy way of testing functionality rather than a more polished visual representation of a product or service. The more finished it is, the less they engage and feel they can contribute. It feels done and dusted.

“When the first person you give it to uses it differently to how you intended, rather than educating the user you adapt the design,” says Louw.

The mindset needs to be one that is totally geared towards adapting to the user. It should be rough and approximate so that it is as flexible as possible, meaning that you can learn and change it quickly and for zero cost as you do.

Reid Hoffman, founder of LinkedIn, warns that: “If you are not embarrassed by the first version of your product, you’ve launched too late.” And nobody wants to do that.

Most of us cannot afford to be playing it safe. We need to accelerate the learning cycle. If we want this idea of failing fast to be meaningful, we need to give people the frameworks to innovate, the space to run safe thought experiments, to build iteratively and the opportunity to work outside their area of expertise to free them up from their own aversion to failure.

12 WAYS TO ‘FAKE IT UNTIL YOU MAKE IT’

In most cases, these should be shared with target customers or users to have them interact with it, respond, hone and, if possible, co-create.

1. Diagrams & Maps

Any sort of diagram or map can be a prototype. That includes stakeholder, process, customer journey, jobs to be done, UX maps. Work through what the customer is seeking to do and explore current and proposed solutions to see where they fit along the customer journey or on a simple map.

2. Stories

News of the Future: Tell the story of your idea and describe what the experience will be like. Letter to Grandma: Would she understand your concept?

3. Cardboard

Create low fidelity prototypes; simply mock up a concept using cardboard, sticky tape, bluetack and imagination and see people interacting with it. This way they can very rapidly work out how people use it. Build the next iteration incorporating user interaction with a first level of technology but with a human behind it, the processing is still simulated. Once the cardboard has done the job, you may want to move to prototyping tools such as POP or Invision to build an app that people can play with.

4. Sketches

We all know that a picture tells a thousand words.

5. Lego prototyping

Bring in some customers and describe your product. Have them build it with Lego while your model remains hidden. Bring yours out and discuss only once you have gleaned insights from their models.

6. Storyboarding

This is a visualisation of the complete experience over time.

Break it into scenes to make sense of interactions. Invite your customers to react and adapt.

7. Wizard of Oz pretotypes

This is rather artful deception in that the MVP is an illusion. There is nothing behind it. Zappos is known for having started with no store or inventory of their own; they simply had a web page. Dropbox was launched on the back of a simple three-minute video on ‘Hacker News’ which gave the founder immediate, high quality feedback.

It is a clever approach but should not feel like false advertising as that will quickly erode trust.

8. Social media ads, eDMs and landing pages

Eventbrite, Google, LinkedIn, Facebook—all these platforms enable you to cheaply test a concept and, based on click-rate, decide if there is a market. This is a good way to test purchase intent. It is also a good way to test two different campaigns with distinct value propositions.

9. Crowdfunding

The beauty of this approach is that it gives you the ability to test the market while raising funds to build it. In 2012 in what was then the most successful Kickstarter (crowdfunding platform) campaign in history, Pebble Technology Corporation was able to prove a market for wearable tech long before any of the tech giants moved in that direction.

10. 3D prototypes

Most of us have now seen a 3D printer in action. They are astonishing. They are also a relatively cheap way of testing the look and feel—as opposed to the functionality—of a concept.

11. Pilot Simulations

This is simply small scale testing of an experience. It is possible to create a different experience in a single store, for example, without generalising across all stores.

12. Run ECHO sessions

Use very rough sketches of concepts to enable clients to Engage, Co-create and HOne the solution.

Image credit: Rachel Audige

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Top 5 Future Studies Programs

Top 5 Future Studies Programs

GUEST POST from Art Inteligencia

In the ever-changing world of technology, futurists are needed more than ever. With the help of futurists, companies, governments, and organizations can plan for the future and make better decisions about how to adapt to a rapidly changing world. With the increasing demand for futurists, many universities have begun to offer undergraduate degrees in futurology. Here are the top five undergraduate futurology programs:

1. University of Oxford

The University of Oxford offers an undergraduate Master of Science in Futures Studies, which focuses on the study of complex systems, the analysis of dynamic change, and the development of long-term strategies. This program includes courses such as “Futures Thinking and Practice”, “Futures and the Environment” and “Futures and Society”.

2. University of Sussex

The University of Sussex offers an undergraduate degree in Futures Studies. This program focuses on the study of trends and events in the world, and how to anticipate and prepare for these changes. Courses in this program include “Futures Thinking”, “Theories and Techniques of Futures Studies”, and “Futures Analysis and Practice”.

3. University of Calgary

The University of Calgary offers an undergraduate Major in Futures Studies. This program focuses on the study of global and regional issues, and how to anticipate and prepare for them. Courses in this program include “Global Futures”, “Risk and Resilience”, and “Futures Thinking and Planning”.

4. University of Toronto

The University of Toronto offers an undergraduate Minor in Futures Studies. This program focuses on the study of trends and events in the world, and how to anticipate and prepare for them. Courses in this program include “Futures Thinking”, “Futures Analysis” and “Futures and Society”.

5. University of Washington

The University of Washington offers an undergraduate Minor in Futurism. This program focuses on the study of technological, social and environmental change, and how to anticipate and prepare for these changes. Courses in this program include “Futures Thinking and Practice”, “Futures and the Environment”, and “Futures and Society”.

These five universities offer excellent undergraduate programs in futurology. With their help, students can gain the skills and knowledge to become successful futurists and help shape the future.

I’m sure I missed some great future studies educational programs out there. Which ones did I miss?
(add them in the comments)

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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