Every organization has data. Few have leaders who know how to make it land.
A practical guide to the psychology, politics, and systems behind real-world decisions, and how the best leaders navigate them to turn good evidence into confident action.
Five parts that build on each other, from diagnosing why evidence loses to a complete framework you can run in any room.
The specific forces, authority bias, institutional memory, and identity protection among them, that override good evidence before it's ever evaluated on its merits.
The internal mindset shift: a growth-oriented relationship with being wrong, and the confident humility that holds conviction and openness at once.
Practical frameworks for translating evidence into each stakeholder's language, choosing which battles to fight, and building alignment before the meeting starts.
How to move beyond a single skilled leader in the room, building the culture and systems where evidence consistently shapes outcomes at scale.
Everything assembled into the CLEAR Decision Model, a complete, repeatable framework for Context, Leverage, Evidence, Alignment, and Resolution.
"Most leaders lose the room not because their evidence is wrong, but because they prepared for a different room than the one they walked into."Nicholas Johnson, Decision Intelligence
Decision Intelligence draws on years spent inside operations and data functions, watching good analysis win and lose in real meetings, and studying what separated the two.
It's written for the person responsible for building and presenting evidence, whether that's a data scientist, an operations leader, a consultant, or a founder making the case to their own board, and for the decision-makers on the other side of that table.
Join the waitlist for early access, launch-week pricing, and a first look at chapter excerpts before the release on August 31, 2026.
