hypothesis-tree

Build a hypothesis tree by committing to a Day-1 answer for a governing question, decomposing it into three sub-hypotheses with explicit tests, and defining a kill-criterion. This structured decision-analysis approach prevents analysis paralysis by aligning subsequent work to falsifiable claims.

A Day-1 hypothesis tree is a planning framework that commits to an initial answer before executing work. You need it for decision-driven analyses like strategy pivots or market entry, where clarity, speed, and falsifiable sub-claims are required to guide subsequent prioritization.

Define a kill-criterion for a top-level hypothesis by establishing explicit test conditions that would disprove your sub-hypotheses. Sequencing work by conviction and designing tests to falsify claims allows you to stop early and minimize wasted effort if the initial hypothesis is wrong.

Yes, the MECE hypothesis tree approach works for strategy pivot planning. It is ideal for major recommendations requiring a concrete governing question, allowing you to decompose a Day-1 answer into three sub-hypotheses with defined tests and kill-criteria to validate decisions quickly.

The best way to prioritize sub-hypotheses is to sequence work by conviction and design explicit tests that would disprove each claim. This MECE-based tree approach ensures you minimize wasted effort by validating exactly three sub-hypotheses against defined kill-criteria.

You should not use a Day-1 hypothesis tree when a concrete governing question is absent or when analysis requires open-ended exploration rather than decision-driven conclusions. This approach demands committing to an initial answer and structuring exactly three testable sub-hypotheses with strict kill-criteria.