What Makes Digital Health Clinical Trials Different?

What Makes Digital Health Clinical Trials Different?

GUEST POST from Arlen Meyers, M.D.

For digital health entrepreneurs, unless your intended use puts you in the FDA category of a medical device, you don’t need to show that your product is safe and effective, let alone cost-effective. In most cases, rather, you need to demonstrate to investors that it can quickly scale and make money and the sooner the better. Too bad. You would think that whether you have to or not that prudent sick care business practices would mean creating a product that does what you say it will do. That’s why only a handful of the hundreds of thousands of digital health apps are clinically valid.

However, most sick care digipreneurs avoid costly, risky trials because they are afraid of possible negative results that could be the death blow of their company, like many early stage biotech or device companies that wake up to see their valuations plummet due to a failed trial.

Digital health regulation is changing rapidly as the FDA tries to keep up with the pace of change and new products and services. On FDA regulation, the rule—for now, at least—is clear: Any device that is “intended for use in the diagnosis of disease of other conditions, or in the cure, mitigation, treatment, or prevention of disease” requires FDA approval, Curtis said. This goes for devices meant for humans and animals, as the FDA regulates both.

The emergence of digital therapeutics, the incorporation of AI and the adoption of remote sensing is challenging us how to demonstrate safety and efficacy, if not cost-efffectiveness.

For example, there’s been an explosion in the number and variety of digital apps purporting to address behavioral health issues, but a recent study published in Nature Digital Medicine casts doubts on their backing by legitimate scientific research. Based on the literature review conducted by the researchers, only 14 percent of apps described design or development that was based on real-world evidence.

One commentary to a recently published article on digital health trials noted that “The pipeline of digital health studies appears to be promising,” noted the researchers, but they also underscored that the small sample sizes in many studies “could limit their ability to yield a high level of evidence, demonstrate value, or motivate stakeholder adoption.”

Digital health technologies hold great promise to solve some of the biggest problems in our healthcare system, including achieving higher quality, lower cost, and greater access to care. a better doctor and patient experience and efficiencies in business processes. In the January 2019 issue of Health Affairs, reported that scant evidence exists demonstrating the clinical impact of twenty top-funded digital health companies. These companies tended not to study the clinical effectiveness of their products in terms of key healthcare metrics like patient outcomes, cost, and access to care.

They found 104 peer-reviewed published studies on the products or services of these companies. The majority of the studies were from three companies. Nine companies had no peer-reviewed publications. Only 28% of the studies targeted patients with high-burden, high-cost conditions or risk factors. Healthy volunteers were the most commonly studied population. Further, 15% of all studies assessed the product’s “clinical effectiveness” and only eight studies assessed clinical effectiveness in a high-cost, high-burden population. The eight clinical effectiveness studies measured impact in terms of patient outcomes, while no studies measured impact in terms of cost or access to care. There were no clinical effectiveness studies in heart disease, COPD, mental health conditions, hyperglycemia, or low back pain. Studies that did not assess clinical effectiveness may have intended to validate the product against a gold standard measurement or report feasibility of use.

This is of particular interest given the incredible amount of funding, interest, and hype in digital health. Although these companies were only a small portion of total digital health companies, they were a large portion of total private funding and had the most resources to demonstrate impact. Further, since “digital health” currently encompasses myriad technology types and approaches, these findings have broad implications.

From text messages to mobile apps, digital health devices are becoming increasingly important in clinical trials for their ability to streamline trials, lower site burden, and improve the patient experience. However, manufacturers must consider the safety, reliability, and convenience of these devices in order to effectively implement them into medical device trials. The digital components of these medical device trials must adhere to the same rigorous regulatory standards as the device itself, which can pose significant hurdles for some sponsors. Those hurdles include:

  • Usability and Accuracy. Sponsors must be able to determine that a device is providing the desired endpoint values in a trial. The metric should be accurate and presented in a usable format.
  • Safety. The manufacturer should be able to provide highly secure methods for transmitting data between the digital health device and the analysis site.
  • Convenience. The manufacturer should be able to provide logistical support to decrease the site and subject burden. They should also be able to provide full documentation of engineering verification for the devices.
  • Ease of Use. It is important to consider how the patient will interact with the device. It needs to be an appropriate size and weight, and it should allow the patient to move and behave in the same way he or she normally would.
  • Reliability. To maintain data continuity, the device should have a battery life sufficient to allow it to collect data for long periods of time with minimal glitches.

In another study of digital health apps for COVID 19, apps were evaluated using the Systems Wide Analysis of mobile health-related technologies (SWAT) tool in line with the NHS Digital Assessment Questionnaire and were given a score for each category (usability, functionality, ethical values, security and privacy, user-perceived value, design, and content) by two independent assessors.

A recent review concluded that “Safety of apps is an emerging public health issue. The available evidence shows that apps pose clinical risks to consumers. Involvement of consumers, regulators, and healthcare professionals in development and testing can improve quality. Additionally, mandatory reporting of safety concerns is needed to improve outcomes.”

The concept of a “digital clinical trial” involves leveraging digital technology to improve participant access, engagement, trial-related measurements, and/or interventions, enable concealed randomized intervention allocation, and has the potential to transform clinical trials and to lower their cost. In April 2019, the US National Institutes of Health (NIH) and the National Science Foundation (NSF) held a workshop bringing together experts in clinical trials, digital technology, and digital analytics to discuss strategies to implement the use of digital technologies in clinical trials while considering potential challenges. This position paper builds on this workshop to describe the current state of the art for digital clinical trials including (1) defining and outlining the composition and elements of digital trials; (2) describing recruitment and retention using digital technology; (3) outlining data collection elements including mobile health, wearable technologies, application programming interfaces (APIs), digital transmission of data, and consideration of regulatory oversight and guidance for data security, privacy, and remotely provided informed consent; (4) elucidating digital analytics and data science approaches leveraging artificial intelligence and machine learning algorithms; and (5) setting future priorities and strategies that should be addressed to successfully harness digital methods and the myriad benefits of such technologies for clinical research.

But, when it comes to human subject pilots and trials, there are several glaring differences of digital health trials compared to drug and device trials:

  1. Intellectual property concerns are usually lower in digital trials
  2. Digital trials need to be done faster because the markets change so quickly and the barriers to entry are lower
  3. IRBs set up to protect patients in drug and device trials are not comfortable with digital health trials
  4. We are still trying to define the ethics of data science
  5. Cybersafety is as important as patient safety
  6. Digital health clinical trial ecosystems are primitive compared to drug and device trial ecosystems although both have recruitment and completion challenges
  7. Data trials need mostly patient data, not the physical presence of patients
  8. HIPAA rules get in the way
  9. Lack of interoperability and getting data from non-traditional hospital based HIT systems skews the data and , consequently, the results
  10. Funding sources for conducting digital health trials are scarce. Investors don’t fund research projects. They fund product development and marketing. Here are some ideas on how to convince your CFO to pilot, test and integrate your IT solution.

The FDA has stated their position when it comes to the regulation of mobile medical apps.

Digital health has evolved because:

  1. Interoperability is improving
  2. Sick care is turning into health care
  3. The medical business model is changing
  4. Costs continue to spiral out of control
  5. The recognition by digipreneurs and investors that sick care is ripe for digitization
  6. Patient and provider frustration with a lousy experience
  7. Cheap mobile and internet technologies
  8. Regulatory, IP and reimbursement changes
  9. The breakdown of barriers to diffusion and implementation
  10. Digital heath ecosystems

An international consortium of medical experts has introduced the first official standards for clinical trials that involve artificial intelligence. The move comes at a time when hype around medical AI is at a peak, with inflated and unverified claims about the effectiveness of certain tools threatening to undermine people’s trust in AI overall. 

Collaboratively developed guidelines for the privacy, content, security, design and operability of mobile health (mHealth) apps have been released. Compliance with the guidelines can provide a level of assurance that an app delivers value to patients, physicians and other users.

The guidelines were developed by Xcertia, a nonprofit founded by the AMA and other major health and technology organizations. They address concerns that have hindered the use of mHealth apps. Fears that an app may expose personal health information, that its content is inaccurate or that its functionality is limited have slowed adoption of mHealth digital health tools.

These advances are permeating all aspects of clinical research but the recent acceleration of decentralised and hybrid clinical trials (DCTs) illustrates how far reaching digitalisation is becoming. Patient-centricity has been driving the decentralisation of clinical trials for some time but the rapid emergence of the COVID-19 pandemic required the pharmaceutical industry to pivot operations and accelerate its DCT programmes. This response required a corresponding ramp-up in mobile technology, data management and AI.

AI can provide insight into protocol complexity and contribute to protocol designs better adapted to DCTs, including the creation of virtual control arms. The intelligent use of data to include historical data as well as the data collected during a clinical trial can optimise the number and diversity of patients needed to reach the desired endpoints and give the patients who do participate a higher value experience.

Until and unless we address ongoing digital health clinical trial issues , sick care digipreneurs will have little or no incentive to conduct digital health clinical trials using precious startup funds. Instead, they will continue to sell snake oil and lots of folks will buy it. Maybe you should sleep on it.

Image Credit: Pixabay

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Challenges and Opportunities in Scaling Social Innovations

Challenges and Opportunities in Scaling Social Innovations

GUEST POST from Chateau G Pato

In today’s fast-paced world, social innovations are pivotal in addressing complex societal challenges. These are novel solutions that meet social needs more effectively or efficiently than existing alternatives. However, scaling these innovations to achieve broader impact is fraught with challenges. In this article, we’ll explore both the obstacles and opportunities inherent in scaling social innovations, supported by real-life case studies.

Understanding the Challenges

One of the primary challenges in scaling social innovations is the resource constraint. Many social enterprises operate on tight budgets, limiting their capacity to expand. Furthermore, impact measurement is often complex and multifaceted, making it difficult to prove efficacy to potential stakeholders.

Another significant challenge is maintaining the integrity and core values of the innovation during scaling. As organizations grow, they risk diluting their mission and losing the elements that made their innovation successful initially.

Seizing Opportunities

Despite these challenges, there are several opportunities to scale social innovations successfully. First, leveraging partnerships and collaborations can provide access to additional resources, networks, and expertise. Second, advancements in technology facilitate wider reach and efficient impact tracking, proving invaluable for scaling efforts.

Moreover, policy support and favorable regulatory environments can create conducive ecosystems for scaling. Building strong stakeholder relationships and continuous learning loops also enhance scalability.

Case Study 1: Grameen Bank

The Grameen Bank, founded by Muhammad Yunus in Bangladesh, is an outstanding example of a social innovation that successfully scaled. It introduced microcredit as a way to alleviate poverty by providing small loans to impoverished entrepreneurs without requiring collateral.

Challenges: Initially, the bank faced skepticism from traditional financial institutions and cultural barriers. The idea of lending without collateral was perceived as risky and unconventional.

Opportunities and Success: The Grameen Bank’s scaling success can be attributed to its innovative group lending model, which fostered community accountability. The bank also prioritized local partnerships and trained its staff to understand community dynamics, ensuring a deep-rooted presence. Today, the Grameen Bank model is replicated in over 100 countries, proving the impact and scalability of microfinance.

Case Study 2: Teach For All

Teach For All is a global network of independent organizations working to expand educational opportunity by enlisting talented graduates and professionals to teach in high-need communities for at least two years.

Challenges: A significant challenge Teach For All faced was adapting its model to different countries with varying educational needs, cultures, and policies. Additionally, recruitment and training at scale presented logistical hurdles.

Opportunities and Success: Teach For All overcame these challenges by adopting a flexible, locally-adaptive model. By empowering local partners to customize implementation to their unique context, Teach For All maintained its core mission while respecting local nuances. The organization leveraged global learnings and cross-border partnerships, enhancing both scope and depth of impact. Today, Teach For All operates in over 60 countries, impacting millions of students globally.

Conclusion

While scaling social innovations presents distinct challenges, the examples of Grameen Bank and Teach For All demonstrate that it is indeed possible to expand impact effectively and sustainably. By recognizing and addressing scaling barriers such as resource limitations, execution risks, and impact measurement difficulties, social innovators can unlock immense potential.

Through strategic partnerships, use of technology, and adaptive frameworks, social innovations can not only grow but thrive, continuously transforming and uplifting communities worldwide.

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

Image credit: Pixabay

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Celebrating Failure Via Lessons in Organizational Culture

Celebrating Failure Via Lessons in Organizational Culture

GUEST POST from Art Inteligencia

In today’s rapidly evolving business landscape, organizations striving for innovation and transformation must foster a culture that embraces failure as a stepping stone to success. Failure is often stigmatized, yet it serves as one of the most potent learning tools available. By celebrating failure and extracting valuable lessons, organizations can adapt, grow, and build resilience.

Understanding the Value of Failure

Failure provides insights that success cannot. It highlights weaknesses in processes, gaps in knowledge, and areas for improvement. A culture that perceives failure as an opportunity rather than a setback encourages experimentation and bold ideas, paving the way for groundbreaking innovation.

Case Study #1: Pixar Animation Studios

The Journey of “Toy Story 2”

Pixar Animation Studios is renowned for its creative brilliance, yet even such an innovative company has faced significant challenges, most notably with the production of “Toy Story 2.” What began as a direct-to-video sequel turned into a major theatrical release, overwhelming the original project plan.

During production, a near-fatal data loss almost wiped out the entire film. The project was saved by a single employee who had a backup copy on her home computer, but the incident forced the team to reflect deeply on their processes and assumptions.

In response, Pixar embraced a culture of reviewing failures openly, investing in better data resilience and project management strategies. By turning this major setback into a learning moment, Pixar transformed its production approach, enhancing communication and collaboration across teams.

Case Study #2: Tata Group

The Nano Car Failure

Tata Motors, part of the Tata Group, launched the Tata Nano in 2008 with great anticipation. Positioned as the world’s cheapest car, the Nano was expected to revolutionize the Indian automotive market.

However, the car failed to meet sales expectations due to design flaws, marketing missteps, and a mismatch with consumer perceptions. Rather than viewing the Nano as a defeat, Tata leveraged its lessons learned to enhance market research processes and product development strategies.

The company has since implemented customer-focused design principles and improved stakeholder engagement in new projects, learning from the mistakes and challenges faced with the Nano.

Principles for Cultivating a Culture that Celebrates Failure

1. Establish Psychological Safety

Employees must feel safe to take risks without fear of judgment or reprisal. Encouraging open dialogue about mistakes and the insights gained from them is crucial for fostering psychological safety.

2. Encourage Experimentation

Create an environment where experimentation is not only allowed but encouraged. Allocate resources and time for innovation projects, and celebrate the learning that comes from both successes and failures.

3. Learn and Iterate

After a failure, conduct a thorough analysis to understand what went wrong and why. Use this information to iterate and improve processes. Document these lessons so future teams can benefit from past experiences.

Conclusion

By embracing failure and integrating its lessons into the organizational fabric, companies unlock pathways to innovation and long-term success. Celebrating failure as a learning opportunity rather than a defeat cultivates a resilient and forward-thinking workplace culture.

In a world where change is the only constant, let us actively seek out and learn from failures, transforming them into stepping stones for future achievements.

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

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The Future of User Research in a Digital-First Landscape

The Future of User Research in a Digital-First Landscape

GUEST POST from Chateau G Pato

In an era where digital experiences define customer interactions and influence business growth, understanding user needs is more critical than ever. As organizations pivot towards a digital-first strategy, the methods and tools for user research must evolve to keep pace with changing expectations and technologies.

Embracing Digital Ethnography

Traditional user research methods like face-to-face interviews and focus groups often fall short in a global digital economy where interactions occur online. Digital ethnography, leveraging tools such as social media listening and online behavioral data, allows researchers to gain profound insights with greater reach and efficiency. By observing digital behaviors in real-time, researchers can access authentic user interactions without the bias that often accompanies direct questioning.

Case Study 1: Netflix

Innovating with Cultural Analytics

Netflix has fine-tuned its user research process to align with its digital-first model. By employing digital ethnography techniques, Netflix tracks viewing habits and preferences through an intricate web of data analytics. This deep dive into cultural analytics not only helps Netflix in curating personalized content but also in identifying potential content trends across different regions.

Understanding the cultural context of their growing global audience, Netflix successfully predicted the popularity of shows like “Squid Game,” a South Korean series that became a worldwide sensation. By analyzing regional viewing patterns and social media buzz, Netflix tapped into a cultural wave before it crested, ultimately driving subscriptions and engagement globally.

Leveraging AI and Machine Learning

Innovations in AI and machine learning have unlocked new possibilities for user research, enabling researchers to process vast amounts of data with precision. These technologies can predict trends, discern patterns, and generate meaningful insights that were previously out of reach. AI-powered tools can analyze user feedback, identify sentiment, and highlight areas where digital interfaces may require enhancement.

Case Study 2: Spotify

AI-Driven Personalization

Spotify’s use of AI and machine learning for user research stands as a beacon of innovation. The company utilizes AI algorithms to analyze user listening behaviors, preferences, and feedback, enabling it to create highly personalized experiences. Playlists such as “Discover Weekly” use these insights to cater to individual tastes, promoting user satisfaction and retention.

Spotify’s approach to user research showcases the power of AI in transforming raw data into actionable insights that not only understand current user preferences but also anticipate future needs. By continuously refining their models, Spotify remains at the forefront of delivering user-centric digital products.

Integrating Qualitative and Quantitative Methods

While digital tools offer quantitative insights at scale, the importance of qualitative research remains undiminished. Combining both approaches provides a comprehensive understanding of user needs, motivations, and potential pain points. Digital tools can help in identifying broad trends, but qualitative methods are essential in uncovering the ‘why’ behind these patterns.

Organizations that build a culture of innovation prioritize the integration of diverse research methodologies, ensuring they cater to the complete user journey from multiple angles.

The Road Ahead

The future of user research in a digital-first landscape is rich with potential. By embracing emerging technologies and methodologies, organizations can create richer, more empathetic user experiences that resonate deeply with their audiences. The continual evolution and integration of advanced tools and human-centric approaches will shape how we understand and engage with users in a world increasingly defined by digital interactions.

As we stand on the precipice of this exciting future, the opportunity lies in our ability to remain curious, adaptable, and thoughtful about the role user research plays in crafting experiences that are not only effective but transformative.

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

Image credit: Pixabay

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Leading Change in Times of Crisis and Uncertainty

Leading Change in Times of Crisis and Uncertainty

GUEST POST from Art Inteligencia

In today’s rapidly shifting world, organizations face unprecedented levels of uncertainty. Whether due to global pandemics, economic fluctuations, technological disruptions, or geopolitical tensions, crises can emerge without warning and demand adaptive leadership. The key to navigating these turbulent times is a focus on human-centered change, placing the needs and wellbeing of people at the forefront of every decision. As a thought leader in change and innovation, I, Braden Kelley, share insights and strategies for leading effectively in such challenging environments.

Understanding Crisis Dynamics

Crisis periods often trigger reactions characterized by fear and anxiety, potentially leading to hasty decisions. However, understanding the dynamics at play enables leaders to make informed choices. During a crisis, communication becomes critical; people look for guidance and reassurance amid chaos. Therefore, clear, transparent, and empathetic communication should be a cornerstone of any crisis management strategy.

Case Study 1: Johnson & Johnson’s Tylenol Crisis

In 1982, Johnson & Johnson faced a significant crisis when reports emerged that several people had died after consuming cyanide-laced Tylenol capsules. The situation was dire, not just for affected families but also for the company’s reputation and financial health. Rather than hiding from the crisis, Johnson & Johnson’s leadership adhered to their values and focused on health and safety. They initiated a nationwide recall of Tylenol products, costing the company over $100 million.

This decisive and ethical action was coupled with strategic communication, including regular updates and cooperation with media channels. By placing consumer safety above profits, Johnson & Johnson gradually rebuilt trust and emerged from the crisis stronger, setting a gold standard for crisis management.

“Our actions dictated the preservation of our key value: put the wellbeing of customers first.” – Johnson & Johnson’s response team

Key Takeaways

  • Prioritize ethical decision-making, even at a financial cost.
  • Emphasize transparency and maintain open communication channels.
  • Align actions with core organizational values to rebuild trust.

Case Study 2: Airbnb’s Response to COVID-19

When the COVID-19 pandemic struck in 2020, Airbnb was among the many companies that faced a staggering downturn as travel restrictions came into place worldwide. The crisis required immediate reevaluation of business operations and strategy. Airbnb’s leadership, led by CEO Brian Chesky, focused on transparent and empathetic communication, both internally and externally.

The company quickly outlined a revised mission and strategy that included supporting hosts and guests through flexible policies and assistance programs. They prioritized the community, even as they had to make difficult decisions such as workforce reductions. Their empathetic approach resonated with stakeholders, helping maintain a sense of solidarity despite the challenging circumstances.

“Our greatest strength lies in our community, and our response must reflect that collective power.” – Brian Chesky, Airbnb CEO

Key Takeaways

  • Adapt quickly to new realities without losing sight of fundamental values.
  • Implement flexible policies to accommodate stakeholders’ needs.
  • Communicate with empathy to maintain community trust.

Strategies for Leading Through Crisis

1. Prioritize People: During a crisis, the human aspect should always come first. Prioritizing the physical, mental, and emotional wellbeing of stakeholders ensures that the organization moves forward cohesively.

2. Foster Resilience: Encourage a culture of adaptability. By nurturing innovation and learning, organizations can better withstand shocks and adapt to new circumstances.

3. Communicate Transparently: Regular and honest communication fortifies trust and mitigates uncertainty. Use multiple channels to reach all parts of your organization and community.

4. Be Decisive and Ethical: Inaction and ambiguity can exacerbate a crisis. Leaders should make decisions confidently, rooted in core values, to guide the organization effectively.

5. Reflect and Learn: After managing a crisis, reflection helps uncover valuable lessons and opportunities for improvement. This continuous learning cycle prepares organizations to better handle future disruptions.

Conclusion

Leading change in times of crisis and uncertainty demands a steadfast commitment to people and principles. By learning from past experiences and adopting a human-centered approach, leaders can guide their organizations through the toughest challenges. As we continue to face unpredictable futures, embracing change with empathy and agility will be the ultimate differentiator in building resilient and thriving organizations.

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

Image credit: Pexels

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Managing Knowledge Spaghetti

How collaboration platforms can help turbocharge your innovation efforts

Managing Knowledge Spaghetti

GUEST POST from John Bessant

Say the word ‘innovation’ and many people quickly conjure in their mind the wonderful ‘lightbulb moment’. But of course, innovation isn’t like this — that flash of inspiration is only the start of what will be a long journey trying to create value from that initial idea. It’s all about navigating our way through a landscape of uncertainty, learning to deal with a variety of roadblocks, potholes and other unexpected barriers.

And if we want to be able to repeat the trick, to give our ideas a fighting chance then the evidence is clear; we need some kind of a process. Over a hundred years of research has fed our understanding to the point where the kind of system we need to make innovation happen can be specified as an international standard. And in terms of pictures what we’re really looking for is less a lightbulb moment than a reproduceable process, something like this.

Clear Innovation Strategy Bessant

Which is fine, as long as we bear in mind one important truth. Innovation doesn’t happen like that.

Back in 1931 the mathematician Alfred Korzybski presented a paper to a meeting in New Orleans on mathematical semantics. It was pretty complex stuff but one phrase which he used has stuck in the wider popular memory. He pointed out that ‘the map is not the territory…’ In other words, a description of something is not the thing itself. The model is not reality. Which has some pretty important implications for the way we work with innovation.

Process models, however detailed, are simplifications, ways of representing how innovation might take place. But — like any map, be it a crumpled sketch someone has drawn or a sophisticated Google Maps picture — it is a guide, it isn’t the place itself. The map is, by its nature, a reduction of the process and in reducing it we lose some important information.

The reality, of course, is that innovation is more complex. And it’s all about knowledge spaghetti.

Just like a plate of pasta innovation involves many different strands. Only this time we are talking about knowledge — technical knowledge, market knowledge, legal knowledge, financial knowledge and so on. They need to be woven together to create value.

And these knowledge strands are held by different people, inside and outside the organization. We have to find them and connect them, link them together to enable us to innovate. Whilst we can superimpose structures on it to help us with this task, we shouldn’t forget that we’re really working with knowledge spaghetti.

Spaghetti solutions

So how do we work with it? Just like recipes for spaghetti there are many variations. One approach is to employ specialists and create cross-functional teams which bring together the relevant strands and align them towards a focused target. That’s proved to be a good model for developing new products and services, especially if we can find ways to bring in all the relevant players including users.

We can use a similar cross-functional approach to the design and implementation of major internal process innovations — things like introducing a new IT system or reorganizing to become more customer-focused. And a third approach involves carefully constructed strategic collaborations, bringing knowledge partners together with complementary strands of knowledge spaghetti.

One very powerful model is based on the idea that everyone in the organization has something to contribute to the innovation story — high involvement innovation. Here we’re working on the belief that even small strands of knowledge can be important and if we could bring them in to the story, we’d make significant progress.

Which history tells us we can. In countless embodiments the principle of high involvement has been shown to pay dividends. Ask people for what they know that might help solve problems around quality, cost, delivery, etc — and there’s no shortage of good ideas in response. The challenge has, historically, been one of working with such high volumes of knowledge and keeping the flywheel going by responding to employee suggestions and giving feedback on progress towards their implementation.

Suggestion boxes and schemes work but until recently had their limitations. Two recent trends have changed all that. The first, borne on the waves of total quality thinking and then the whole ‘lean’ movement, has shown us that in any context people are very effective innovators, well able to improve on what they are doing on a continuing basis.

And the second has been the emergence of collaboration platforms on which they can deploy their innovation skills. Today’s collaborative innovation platform resembles its suggestion box predecessor in outline only; it’s still a way of collecting ideas from employees. But it does so in an interactive space in which challenges can be posed, ideas suggested, comments added and shaping, and welding together multiple knowledge sets and experience enabled. And in doing so they open up the very real possibilities of high involvement innovation — getting everyone to contribute to the innovation story.

Emergent properties

But it’s not just the raw return on investment which collaboration platforms offer — though these benefits are impressive. Their real value lies in the way they enable ‘emergent properties’ — the innovation whole becomes much greater than the sum of its parts.

They give us new and powerful ways of working with the knowledge spaghetti. Not only can we handle the sheer scale of the knowledge challenge and focus it towards key objectives but we can do so in ways which yield surprising additional benefits. They effectively turbocharge our innovation system.

In particular they contribute in the following ways:

  • Reach — one of the obvious ways in which platforms can help is that they create a network which even remote users can connect to. We can spread the innovation net far and wide, can reach the parts other innovation approaches don’t. For example, recruiting ideas from people on ships at sea or working on an off-shore oil platform would have been impossible until recently. Now they can join the innovation conversation as simply as placing a phone call. Working under extreme conditions like in a humanitarian disaster area can now also be a space for crowdsourcing new and urgent solutions to problems. (We’ve seen this in Ukraine where the problems of getting urgent supplies in and vulnerable people out of a war zone are being addressed by many people sharing ideas across makeshift collaboration platforms based on mobile phone networks). We’re now able to involve people in innovation anywhere on the planet and on a 24/7 timescale.
  • High involvement innovation has always worked well in teams — that’s been at the heart of the success of lean approaches. But until recently that depended on the team being physically together, exploring and co-creating solutions — not easy if you’re working with a distributed team. Platforms solve this challenge, enabling virtual team meetings and collaboration and asynchronous collaboration.

    Organizations like Conoco-Philips employ around 10,000 people, globally distributed and often in hard to access places like off-shore oil platforms. Airbus has around 130,000, again globally distributed and engaged in multiple activities. And Bombardier have over 15,000 ‘knowledge workers’ around the world with whom they want to engage. Through the use of collaboration platforms organizations like these are able to achieve sustained high involvement and significant traction on their innovation challenges.

    • Richness — successful high involvement innovation isn’t just about assembling lots of people. By their nature people are different and diversity matters in innovation. They bring different perspectives, different ways of framing and working with the problem being explored. Plus they are not just cardboard cut-outs, they have a rich history of different experiences — their origins, their education, their work experience. All of this represents potentially useful strands of knowledge spaghetti, and platforms help us draw on this.

    Subsea7, a major player in the world of offshore services for the oil and other industries has used a platform approach to great effect. In one example a long-running concern with turnaround times for fitting out ships was solved when someone on the platform identified a solution which he had originally seen in action at a previous employer. The resulting savings ran into millions of dollars.

    People also bring with them networks of connections; knowledge is socially distributed and connecting to these networks can yield surprising possibilities. It means the innovating organization can access different skills and specialized knowledge inside and outside the organization. It’s classic open innovation, building on the idea that in even the largest organization ‘not all the smart people work for you’.

    • Refining — one of the powerful features of collaboration platforms is that they enable — well, collaboration! They make it possible to comment, criticize (constructively), modify and refine ideas, setting up a process of true co-creation. This fits well with recent research which argues that there’s a fundamental flaw in the model of ‘brainstorming’ used by many organizations to source ideas. The principle of postponing judgment has been replaced by a ‘no criticism’ approach in which every idea is accepted. But the reality is that good ideas need to be tempered, hammered into shape, worked on — and processes of constructive criticism are really important. Pixar, for example, has made this a core feature of its daily ideation process.

    And having access to the diversity of perspectives which platforms allow means that there is real potential for shaping and developing interesting ideas into great and value-adding ones. They provide a way of creating those magical ‘water-cooler’ moments in an online and distributed world.

    • Requiring — using focused campaigns to draw out ideas in particular directions. One of the limits of the old model of suggestion schemes is that they operate in ‘bottom up’ fashion, solving problems which are important and visible at a local level. But the real power of HII lies in mobilizing it to work on ‘top-down’ strategic challenges. The campaign model sits at the heart of many collaboration platforms and allows short intense ‘sprints’ focusing the innovation energy on a key problem area, rather like a laser beam.

    Conoco Philips Alaska have been using a process targeted at continuous improvement of their extensive operations; they run between 6 and 8 campaigns every year, involve around 1500 employees and generate savings running into millions of dollars annually.

    But it depends on several things — not least spending time to ensure the ‘right’ question is being asked. Simply setting ‘how can we improve productivity’ as a target is too vague, a bit like using that medieval weapon, the blunderbuss. Chances are some of your shots will hit the target but there’s an awful lot of waste involved.

    So it’s important to ensure we’re asking the ‘right’ question; a key feature of successful collaboration platforms is the amount of effort which goes in to this kind of front-end problem exploration. The sharper the question the better the quality of answers and the chance that new creative pathways can be opened up.

    • Recombination — ‘ if only our organization knew what it knows’ is a source of concern for anyone concerned with innovation. So much knowledge which might be useful is locked up inside silos and not shared. Worse, we don’t always know what’s inside those silos or whether and how it could be relevant to someone else. Platforms have the power to make this visible, not least by drawing it out in response to focused and challenging campaigns.

    There’s also the possibility that someone else in the organization may have experienced a similar type of problem even if they don’t recognize the relevance of their experience. A powerful principle in creativity is looking for analogous solutions — for example, the challenge of cutting turnaround times in airports for low-cost carriers was solved by applying principles originally developed for Formula 1 pitstops. And the same approach was then adopted by surgeons in London looking to improve the utilization of operating theatres.

    • Reverse reinvention — lots of effort is often wasted by reinventing wheels, solving the same problem in different places. Platforms offer a way of reversing this process, highlighting solutions which have been tried elsewhere and also inviting creative improvisation around those solutions, extending their applicability and effectiveness. A kind of creative re-iteration.

    The Canadian engineering company Bombardier have been using a collaboration platform approach for over ten years and one of the biggest benefits they have seen is a significant increase in the amount of knowledge being shared across their organization.

    • Retaining and recording — making sure ideas are retained even if they can’t be applied right now. One of the challenges of mobilizing collective intelligence is that we may well attract thousands of ideas. Some can be shaped and refined for immediate implementation, some require further work and investment. And for some there is the problem of being the right idea at the wrong time. In the past organizations hitting this problem would probably lose sight of the idea, leaving it buried in a file somewhere or gathering dust. But platforms allow for effective curation of ideas, not only tracking and recording all suggestions but also retaining them to match against future campaigns and challenges.
    • Rewiring — organizations are like people — they have ‘predictive minds’ . They are inclined to take a lazy approach, picking tried and tested solutions off the shelf when they confront a problem. But being forced to redefine, to reframe, can trigger a search for new approaches to those old problems. We see this effect often under crisis conditions where traditional solution pathways may not be available and we have to think differently — to make new neural connections across the collective mind. Creating novel campaigns to provide this challenge can open up new idea space — they can help us ‘get out of the box’.
    • Refreshing — at heart high involvement innovation is about people and the key ingredient to its long term success is finding ways to keep the motivation high. People are brilliant problem solvers but they’re only going to give their ideas if they see some benefit. Research has shown that money isn’t a strong motivator — but having your voice heard and having the opportunity to create the change you’d like to see around your organization is. There’s a wealth of research to support this going right back to the early years of organization studies; the message on employee engagement remains the same but the question is then raised about how to achieve this. Collaboration platforms by their inclusive and open nature offer a powerful new tool to help and organizations like Liberty Global consider this motivational aspect to be a key factor in helping build a culture of innovation across a large organization.

    Knowledge Spaghetti Success

    So whether it is an upgrade to continuous improvement activity, harvesting employee suggestions for doing what we do but better, or pushing the frontiers to create novel products and services, there’s real scope for using this turbocharged approach.

    But powerful though they are, collaboration platforms are at heart still software. It’s not a case of ‘plug and play’ — getting the best out of these systems requires hands-on management, something we’ll look at in a future blog.

    For more on innovation-related themes like this please visit my website

    And if you’d like to listen to this as a podcast please visit my site here

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    Edge Computing and Its Implications for Innovators

    Edge Computing and Its Implications for Innovators

    GUEST POST from Chateau G Pato

    In the rapidly evolving landscape of technology, edge computing stands out as a promising frontier that amplifies the potential for innovation. By processing data closer to the source, edge computing reduces latency and enhances the speed and reliability of data transfer. This paradigm shift presents an array of opportunities for innovators looking to redefine industries. In this article, we will explore edge computing and its implications for innovators through two compelling case studies.

    The Essence of Edge Computing

    Edge computing represents a distributed computing architecture where data processing occurs near the data source rather than relying solely on centralized cloud environments. This approach minimizes latency, reduces bandwidth usage, and allows for more immediate responses, crucial for applications demanding real-time data processing. As we delve deeper into edge computing’s implications, let’s consider two case studies that highlight its transformative impact.

    Case Study 1: Smart Cities and Intelligent Traffic Management

    Innovators in urban planning and transportation are leveraging edge computing to enhance traffic management systems in smart cities. By integrating edge devices in traffic lights, road sensors, and connected vehicles, cities can gather and analyze traffic data in real-time.

    For instance, a forward-thinking municipality deployed edge computing devices at multiple intersections across the city. These devices continuously collect data on vehicle flow, pedestrian movement, and even weather conditions. The edge processing allows the system to adaptively change traffic light patterns to minimize congestion and reduce accidents, without the delay inherent in cloud-only solutions.

    Outcome: The implementation resulted in a 20% reduction in average commute times and a 15% decrease in traffic-related accidents, showcasing how edge computing can improve urban living while contributing to sustainability by reducing fuel consumption.

    Case Study 2: Manufacturing and Predictive Maintenance

    In the manufacturing sector, edge computing is revolutionizing predictive maintenance processes. A leading industrial equipment manufacturer introduced edge computing to monitor machinery health using IoT sensors. Traditionally, data from these sensors would be sent to the cloud for analysis, causing delays in detecting potential issues.

    With edge computing, data is processed at the equipment level. Real-time analysis enables the identification of anomalies and deviations from normal operating conditions. Maintenance alerts can be raised instantaneously, allowing for timely interventions before equipment failures occur.

    Outcome: This strategic innovation led to a 25% reduction in downtime and a 30% increase in equipment lifespan, translating to substantial cost savings and enhanced operational efficiency.

    Implications for Innovators

    Edge computing empowers innovators with several distinct advantages:

    • Real-Time Decision Making: By facilitating immediate data processing and analysis, edge computing allows innovators to implement real-time decision-making processes critical in dynamic environments.
    • Enhanced Privacy and Security: Processing data at the edge can enhance security and privacy by minimizing the amount of data sent to external servers, reducing exposure to potential breaches.
    • Scalability and Flexibility: Edge computing supports scalable and flexible system designs, enabling innovators to deploy solutions that adapt to changing demands and expand functionality over time.
    • Cost Efficiency: By reducing the reliance on constant cloud connectivity and bandwidth, edge computing can lead to significant cost reductions, particularly in data-intensive applications.

    Embracing the Edge

    The future of innovation lies in the effective integration of edge computing across various sectors. For innovators ready to embrace this cutting-edge technology, the potential is immense. From enhancing urban living to optimizing industrial processes, edge computing is a catalyst for transformative change.

    As we continue to explore the vast potential of edge computing, innovators must remain focused on designing human-centered solutions that not only leverage technological advancements but also address the real needs and challenges of users. By doing so, we can unlock unprecedented levels of efficiency, sustainability, and progress.

    Edge computing is not just a technological paradigm shift; it is an invitation for innovators to pioneer a new era of intelligent, responsive, and sustainable solutions. The future is at the edge—let’s innovate together.

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

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    Managing Remote Teams with Empathy

    A remote or hybrid work culture requires a new approach to managing remote teams: use empathy and grace to keep your team connected.

    Managing Remote Teams with Empathy

    GUEST POST from Douglas Ferguson

    Managing remote teams goes beyond using the right tools and tech for communication: intangibles like grace and empathy are an essential part of successfully leading teams.

    Remote work undoubtedly changes team dynamics and communication. Making the most of distance work requires us to humanize remote work and challenge the culture of isolation that remote companies typically face.

    In this article, we’ll discuss:

    • Remote Work Culture
    • Conflict in Remote Teams
    • Exercising Empathy Online
    • Building Psychologically Safe Remote Teams
    • Transforming Your Remote Team Management

    Remote Work Culture

    The nature of remote work undoubtedly changes company culture. As team members prepare to work remotely, they lose out on the real human connections gained from working in person. As a result, it can be challenging for coworkers and management to truly connect with each other.

    By intentionally creating a remote work culture of connectedness, remote companies can navigate the hurdle of separation and bring team members together regardless of where they may be working.

    Strong remote work culture counteracts the effects of isolation and unites team members around their shared purpose or common goal.

    When managing remote teams, it’s important to:

    • Encourage feelings of camaraderie
    • Ensure regular effective communication
    • Shift your work culture to a balance of synchronous and asynchronous work

    Remote Management

    Conflict in Remote Teams

    Making the transition to successful remote work culture isn’t easy, especially with regard to conflict resolution. This lack of face-to-face interaction makes miscommunication easier than ever before. While all team members may be focused on achieving a common goal, in the digital world it’s easier for words, and actions to get lost in translation, causing conflict between team members.

    According to a study on remote work conflict, 81% of workers reportedly experience conflict and 39% of workers think about leaving their jobs as a result of a virtual conflict. Moreover, workplace conflicts are increasing in remote teams as employees are no longer able to verbally and visually communicate as they would in a physical workplace.

    Exercising Empathy Online

    With more workplace conflicts happening online, it’s up to companies to head off these communication challenges as proactively as possible. Experts suggest that empathy may be the cure-all to virtual drama in the remote working world.

    When managing remote teams, maintaining team members’ well-being, morale, and engagement from afar requires intentionally exercising empathy.

    Practice exercising empathy with your remote teams by:

    1. Connecting with Your Team

    Managing remote teams with empathy starts with establishing and maintaining a meaningful connection with your team.

    Improve team connections with the following:

    • Ice breakers that add team-building and play to a meeting
    • Regular check-ins with team members
    • Video chats so team members can see facial expressions
    • Consistantant communication via platforms like Slack, Trello, or Asana

    2. Actively Listening

    Listening is an essential part of empathy, especially in remote teams. Listening allows remote teams to contextualize conversations and can help team members avoid unnecessary conflict.

    Actively listen by asking intentional questions during check-ins to identify challenges team members might be facing. Experts recommend using prompts to help check-in.

    3. Creating Opportunities to Ask for Help

    It’s not always easy for employees to speak up and ask for help. Team leaders can demonstrate empathy by showing other members of the team that it’s okay to ask for assistance. By being vulnerable with your teams and asking for help yourself, you’ll open the door for others to feel as though it’s okay to ask for help as well.

    4. Equipping Team Members

    Ensuring that team members have everything they need to complete their work is another way to embody empathy. Be sure to ask thoughtful questions and offer materials and tools proactively to ensure your team is properly equipped to do their jobs.

    Be sure to ask questions such as:

    • What traditional resources does my team not have access to when working remotely?
    • Do any team members have accessibility needs?
    • What tools do all team members need?

    5. Encouraging Transparency

    Transparency is key when managing remote teams. Without in-person conversation, information isn’t always as readily understood in the virtual realm, so it’s essential to regularly share important and accurate information.

    • Set explicit expectations for team members like KPIs, milestones, and timeframes
    • Share objectives clearly with the team
    • Provide feedback and guidance regularly to team members

    6. Increasing Recognition

    Recognition is essential in helping employees feel valued and validated. Employee recognition for remote teams can take on many forms from a shoutout via email or a monthly gift certificate. A small gesture of gratitude goes a long way online as it reminds your team members that you see the work they do and you value them as a critical part of the team.

    Building Psychologically Safe Teams

    Another element of successfully managing remote teams is creating a sense of psychological safety. When team members feel psychologically safe, they’re most confident to share their ideas, ask for help, and perform their best work. Creating this environment in the virtual realm allows employees to work without the fear of being punished, judged, or ignored.

    Empathy and psychological safety go hand-in-hand. Team members are all responsible for creating this environment for each other.

    Promote an environment of psychological safety by:

    • Encouraging participation
    • Practicing conversational turn-taking
    • Encourage leaders to take on challenges
    • Use breakout rooms on Mural or Miro
    • Address problems immediately
    • Increase mistake tolerance

    Psychological Safety

    Transforming Your Remote Team Management

    With empathy in mind, it’s time to transform your remote team management.

    Manage remote teams with these best practices:

    1. Offer Multiple Contact Options

    When managing a remote team, it’s essential to provide multiple forms of contact. Share your contact information for video chat, email, instant messaging, telephone calls, and other platforms. By diversifying your methods of communication, you’ll give your team every opportunity to stay in contact with you.

    2. Increase Flexibility

    Flexibility is a valuable element when managing remote teams. From offering flexible hours to allowing team members to set their own deadlines, allowing more flexibility will help build trust and boost morale with your remote teams.

    3. Use Remote Work Advantageously

    Focus on the advantages of remote work and hire a diverse and dynamic team. Remote work gives companies access to the global workforce, allowing them to hire the best in the business from any country in the world.

    4. Find a Balance for Asynchronous and Synchronous work

    When managing remote teams, there is untapped potential in understanding, and utilizing synchronous and asynchronous work times. With remote workers, we have discovered the benefits of deep focus that asynchronous work has to offer. This allows for flexibility across timezones, teams accomplish more in a shorter amount of time, and it allows for synchronous time to be more focused and productive. Managing remote teams takes a leadership team that understands the importance of synchronous and asynchronous work.

    5. Accept Adjustment Periods

    In learning how to best manage remote teams, don’t forget to be patient. Transitioning to a remote-only or hybrid workplace will take time. From troubleshooting technological issues during meetings to learning new habits to improve your virtual workplace, allowing team members to learn as they go is an important part of managing your remote team.

    Working remotely comes with its own set of risks and rewards. Want to learn more about how to navigate the ins and outs of managing remote teams? Connect with us to discover how to implement empathy and grace as you lead your remote team to success.

    Article Originally Appeared on VoltageControl.com

    Image credits: Pixabay, Unsplash

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    Strategies for Successfully Communicating Change

    Strategies for Successfully Communicating Change

    GUEST POST from Art Inteligencia

    Change is a constant in today’s rapidly evolving world. Organizations that thrive are those that effectively communicate change initiatives, ensuring clarity, alignment, and engagement among their stakeholders. As a thought leader in human-centered change and innovation, I aim to equip you with actionable strategies that enhance communication during change initiatives.

    Understanding the Importance of Communication in Change

    Communication is the lifeline of any successful change initiative. Without it, uncertainty, resistance, and confusion can erode even the best-laid plans. Crafting a compelling narrative around why the change is happening, who it impacts, and what the benefits are is essential to gaining buy-in and reducing resistance.

    Strategy 1: Building a Clear and Unified Message

    A unified message serves as the foundation of any successful change communication strategy. It’s crucial that everyone from leadership to front-line employees shares the same understanding of the change.

    “A unified message creates a clear vision, fosters trust, and drives engagement across all levels of an organization.”

    Consider Case Study: Fortune 500 Tech Corporation. When the company decided to pivot its product line to include more cloud-based solutions, they knew a clear message was key. They developed a communication framework that outlined the “why,” “what,” and “how” – why the change was needed, what the new direction entailed, and how it would be implemented. This message was communicated consistently across all teams, through town halls, newsletters, and dedicated intranet hubs. This strategic communication plan ensured everyone was on the same page and minimized confusion and disruption.

    Strategy 2: Leveraging Storytelling for Emotional Connection

    Studies have shown that humans are hardwired to respond to stories. Communicating change through storytelling helps create a relatable context, making the change more personal and impactful.

    In Case Study: Global Retail Chain, when the company began a digital transformation journey, they employed storytelling to connect with employees emotionally. Leaders shared personal stories about how digital tools positively impacted their work-life balance and productivity. By aligning the transformation with real-life benefits, employees became more receptive and enthusiastic about embracing new technologies.

    Strategy 3: Engaging Stakeholders Early and Often

    Engagement isn’t a one-time activity. Successful change communication thrives on continuous dialogue. Invite feedback, address concerns, and provide regular updates to maintain momentum and build trust.

    For instance, the retail chain from our case study conducted monthly feedback sessions, allowing employees to voice concerns and suggest improvements. This continuous engagement built a sense of community and ownership, further smoothing the change process.

    Strategy 4: Utilizing Multiple Communication Channels

    Diversifying communication methods ensures that messages reach everyone, respecting different preferences and schedules. Use a mix of emails, face-to-face meetings, video updates, and social media to cater to diverse audiences.

    In the tech corporation case study, by employing various channels, the company ensured no one was left out. Employees could access information at their convenience, an approach that was particularly beneficial given remote work dynamics.

    Strategy 5: Training and Support

    Change can be intimidating. Providing adequate training and support empowers employees to adapt more readily and performing effectively in the new environment.

    The retail chain implemented comprehensive training sessions focusing on new digital tools, pairing them with ongoing support and mentorship programs. This not only eased the transition but also equipped employees with new skill sets, transforming apprehension into opportunity.

    Conclusion

    Effective communication isn’t about what you say, but how you make others feel during a change. It’s about creating understanding, reducing fear, and fostering inspiration. By building clear messages, employing storytelling, engaging stakeholders, utilizing diverse channels, and offering support, organizations can transform change from a challenge into an opportunity.

    As we’ve seen in the case studies of the Fortune 500 Tech Corporation and the Global Retail Chain, tailored strategies can lead to successful change communications, ultimately leading to sustained growth and innovation.

    Let us embrace change not as a disruption, but as an avenue for growth. Stay innovative, stay connected, and continue to propel forward.

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

    Image credit: Pexels

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    Ten Transformational Change Principles

    Ten Transformational Change Principles

    GUEST POST from Greg Satell

    It’s been clear to me for some time that 2020 would be a pivotal year. Globalization and digitalization, the two major forces of the last generation, have disappointed. The corporate mantra of shareholder value has proven to be bankrupt. The end of the Cold War has led not to a democratic utopia, but a rise in populist authoritarianism.

    Much of what we believed turned out to not be true. At the same time, there is great cause for optimism. We are undergoing profound shifts in technology, resources, migration and demographics that will give us the opportunity to drive enormous transformation over the next decade. We are likely entering a new era of innovation.

    We need to learn from history. Positive change never happens by itself. We can’t just assume that we can just set up some basic “rules of the road” and technological and market forces will do the rest for us. Any significant change always inspires fierce resistance and we need to overcome that resistance to bring change about. Here are 10 principles that can guide us:

    1. Revolutions don’t begin with a slogan. They begin with a cause. The vision always needs to be rooted in solving problems people genuinely care about. That’s why you can’t bribe or coerce change. Once you start trying to engineer change through incentives, you are signaling that this is a change that people don’t really want to make.
    2. Transformation fails because people oppose it, not because people don’t understand it. For any significant change, there are going to be some people who aren’t going to like it and they are going to undermine it in ways that are dishonest, underhanded, and deceptive. That is your primary design constraint. Change of any kind threatens the status quo, which never yields its power gracefully.
    3. To be effective, change efforts need to be rooted in values. Values represent constraints and constraints bring meaning and credibility. A movement without values is nothing more than a mob.
    4. Resist the urge to engage those who attack and undermine you. In fact, as a general rule, you should avoid them until you have gained significant momentum.
    5. Focus on building local majorities. You want to be continually expanding your majorities within communities and clusters. When you go outside your majority, however, you get pushback. Stay on the inside pushing out.
    6. Shift from differentiating values to shared values. Differentiating values are what make people passionate about an idea, but shared values create entry points for people to join your cause. You overcome your opposition by listening and identifying shared values in what they say that can be leveraged to attract others to your cause.
    7. You design effective tactics by mobilizing people to influence institutions. Every action has a purpose. You are always mobilizing someone to influence something. For everything you do, you ask who are we mobilizing and to influence what?
    8. Scale change and weave the network through cooptable resources. Instead of trying to get people to do what you want, find people who want what you want and give them tools to help them take action. It is through taking action, not taking orders, that people take ownership of the movement and make it their own.
    9. Survive Victory. The victory phase is the most dangerous phase. You need to think about how to “survive victory” from the start. It’s not enough to make a point, you have to want to make a difference.
    10. Transformation is always a journey, never a particular destination. The most important thing you can do to bring change about is simply to get started. If not now, when? If not you, who?

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

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