Intentional Learning

for multiple clients

These in-depth investigations make complex topics and fast-moving markets understandable and actionable.

Overview

Organizations need to understand and take advantage of complex, fast-changing markets in order to compete. Company leaders who try to do this learning on their own quickly find that it takes an immense amount of time and results in “lumpy understanding” that prevents swift and concerted action. Intentional Learning sessions are powerful tools for companies get up-to-speed quickly across the ever-changing matrix of technologies and industries that impact their work. And just as important, they can help a diverse set of people within an organization establish a common knowledge base, which lets them work together to interpret what the learning means for their company, products, and goals.
Intentional Learning is the result of a thousand hours of research on one subject. Leveraging our storytelling expertise, we arm leaders with the knowledge, frameworks, and first-hand perspective they need to more effectively guide their strategy and investments. In just 2 to 4 intense hours, someone can go from knowing little about a space to developing a concrete understanding of what’s happening, what it means for them, and what they should do about it.
Though each investigation is tailored to an organization’s needs, we always begin by “shaking the trees” – examining hundreds of relevant products, interviewing subject-matter experts, and creating the scaffolding necessary for the evaluation of a market, a technology, and its impact.
Simplifying a market into its fundamental components allows us to then layer complexity back in, generating insights and predictions based on key trends, emerging products, and market opportunities. Our final outputs take a number of different forms based on what a client needs, including research reports, demo-intensive workshops, ideation sessions, or custom interactive websites.

Bots & Intelligent Assistants

Bots and intelligent assistants are software offerings that are increasingly using conversational interfaces as the primary form of human-computer interaction. The last few years have seen an explosion of bot and intelligent assistant products hitting the market. Notably, the world’s biggest tech companies, including Apple, Amazon, Google, Facebook and Microsoft, are trying to position themselves as the leader in conversational computing, which very well might be the next major platform. We began our investigation by asking “why now?” identifying three key trends fueling the activity:

  • Advancements in AI (natural language processing and natural language understanding)
  • The decline of apps
  • The rise of messaging platforms

With this contextual understanding in place, we then examined the major intelligent assistants and hundreds of bots on the major messaging platforms. At the end of our investigation we highlighted where and when conversational interfaces are most effective and which companies are best positioned to control the conversational computing landscape. We conducted a 3-hour, future-casting workshop, showcasing dozens of products for the executive team of a Fortune 25 tech company.

Digital Health

To fully capture the changing digital health landscape, we realized we had to examine the changing regulatory landscape, the latest in behavioral change theory, and the most current application of machine learning to complex health data sets. We also knew that developing a framework to evaluate how digital tools would change health meant understanding how these three components interact and intersect with one another. What digital platform is best-suited to foster real behavioral change? What major player is in the best position to improve health outcomes based on the application of machine learning to their unique data? And how will companies adjust to changing privacy norms? By creating a continuum of care and identifying where digital tools fit within this framework, we could then map gaps and opportunities, coupling our analysis with predictive insights. We facilitated an intensive learning session where we called on experts in the field, showed both the patient and provider side of notable platforms and used our framework to drive discussion around where our client’s capabilities could be leveraged most powerfully to make the most impact.

AgTech

The way we grow and harvest food is at a critical juncture: the world population is expected to expand from around 7.5B to 10B by 2050, and most people will live in urban areas where they’ll be much less likely to produce their own food. At the same time, as incomes increase, people will likely consume more meat, requiring more land, energy and water. With this as our backdrop, we conducted a deep dive on emerging technologies within the U.S. agricultural marketplace and investigated how they are being used to create more sustainable and efficient solutions. Specifically, we narrowed in on how low-cost, high-resolution sensors, combined with advances in machine learning and autonomous vehicles, are changing the ability to deliver precision monitoring, treatment and harvesting of crops. Similarly, we analyzed how advances in biotechnology have altered traditional agricultural methods while also creating new business opportunities. After talking to farmers, agricultural startups and robot makers, we uncovered insights for what we think will usher in the next agricultural surge – navigating an often overlooked marketplace that, unlike most other markets undergoing digital or technological disruption, remains opaque to many.

Taking the Work Forward

Over the last 6 years, we’ve facilitated dozens of workshops for audiences as varied as Fortune 500 product teams, Fortune 25 CEOs and CTOs, venture capitalists, the world’s largest non-profits and everything in between. Our clients use the information to inform investment and product decisions, and create strategic plans.
We’ve tackled subjects ranging from how digital technologies are changing the face of charitable donations to the history of artificial intelligence, machine learning, and the next wave of AI powered products and services. In total, we’ve conducted over 3,000 product evaluations across domains like IoT, platform innovations, mobile trends, culminating in over 40 workshops and saving clients immeasurable work time.

Get Started

If you’d like to work with us on your own Intentional Learning, contact us. info@intentionalfutures.com

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