Hypothesis tree examples.
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What a hypothesis tree is.
A hypothesis tree decomposes a question into smaller explanations that can be tested. The root is the problem or outcome, and each branch narrows it into a claim, a question or a source of evidence.
Unlike an execution decision tree, it is for learning. The leaves should state what data, observation or experiment would support or reject an assumption before the team chooses a response.
- Standard
- Howard-Raiffa / CART-sklearn / taxonomy
- Engine
- schematex-decisiontree
- Editable
- Double-click text, drag nodes
- Export
- SVG · PNG · PDF
Who uses hypothesis trees.
Separate awareness, setup and value explanations when feature adoption is low.
Break a revenue result into acquisition, retention, pricing and reporting questions.
Assign evidence gathering across materials, equipment, process and inspection.
How to make a hypothesis tree in three steps.
Describe it
One paragraph is enough to start.
See the drawing
Drawn by the right engine.
Say what changes
Every edit keeps a version.
Common questions
What is a hypothesis tree?
It is a structured diagram that breaks a central explanation into smaller, testable hypotheses and the questions needed to evaluate them.
How is a hypothesis tree different from a decision tree?
A decision tree maps choices and outcomes. A hypothesis tree maps assumptions and evidence so a team can learn what is causing an observed result.
What should appear at the leaves?
A leaf should name a test, a metric, a comparison or another source of evidence that can evaluate the branch.
Can more than one hypothesis be true?
Yes. A tree helps test possible contributors separately; several branches can be supported by the evidence.
Other drawings for the same work.
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