The Uncertainty Project is a constantly evolving, community-driven collection of research-backed models and techniques that helps companies architect processes for effective decision making.

Built by practitioners, for practitioners, this is meant to be a collection of building blocks; not a heavy, prescriptive framework. It enables individual managers, teams, as well as whole organizations to implement systematic decision making practices at varying levels of complexity.

The Uncertainty Project focuses on research-backed, peer-reviewed methods that aim to help teams and  organizations define, collaborate on, make, and communicate decisions. The tools found in this playbook are borrowed, built-upon, and curated from thought leaders, practitioners, and members of the community for any organizations looking to build a robust decision making architecture.

We believe arming organizations with tools and frameworks for better decision making is a positive-sum game. Great decision making produces great products, positive work environments, and flourishing competition. Poor decision making is wasteful, expensive, creates toxicity, and ultimately kills companies.

Over the past decades, decision science has brought better understanding to how both individuals and groups operate - the good, the bad, and the ugly. The application of this research has primarily surfaced in individual leadership and industries such as finance, venture capital, insurance, and healthcare where decisions are often repeatable and the stakes are high, but you would be hard-pressed to find these methods consistently used in technology companies.

We believe the next cohort of high-performing organization will adopt these learnings in human behavior and combine them with powerful tools for data aggregation to become lightening fast, evidence-focused, decision making machines.

The Uncertainty Project

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The Uncertainty Project

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