Helps clarify customer problem, solution idea, and evidence in concrete terms. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog.
Hypothesis Prioritization Canvas
Moves customer problem, solution idea, and evidence toward a concrete result through "take over the hypothesis list", "define the risk scale", and "select the top hypotheses for the next tests".
Which hypotheses combine high risk, low evidence, and low testing effort, and which of them should be tested in the next iterations?
The team follows the steps "take over the hypothesis list", "define the risk scale", "define the evidence scale", "define the effort scale", "rate and position each hypothesis", and "select the top hypotheses for the next tests". Each step is made visible. At the end, a prioritization canvas and a hypothesis backlog are available so decisions, tests, or actions can continue directly.
Visual orientation
Method sketch for a quick mental model.
Flow
- 1Take over the hypothesis list
- 2Define the risk scale
- 3Define the evidence scale
- 4Define the effort scale
- 5Rate and position each hypothesis
- 6Select the top hypotheses for the next tests
The runsheet guides execution with 4 phases, timeboxes, 5 pitfalls, and clear stop criteria.
Open runsheetIdeal for
- Discovery backlog reviews
- Investment committees
- Innovation pipelines
Not good for
- Single-hypothesis contexts
Deep dive
The Hypothesis Prioritization Canvas, often used in discovery coaching at Strategyzer and in Lean UX settings, helps teams build a pipeline of tests. It combines ratings because high risk alone often leads directly to expensive experiments. Only the combination with low evidence and low cost identifies the best next hypothesis.
Define the scales before the session, otherwise the rating slides into gut feeling. Discuss diverging assessments instead of averaging them away.
Hypothesis Prioritization Canvas Working TemplateCompact working template for Hypothesis Prioritization Canvas with context, input, output artifacts, and next step.canvas
hypothesis-prioritization-canvas-working-template.md
Compact working template for Hypothesis Prioritization Canvas with context, input, output artifacts, and next step.
Hypothesis Prioritization Canvas Canvas
Context
What is this method used for?
Core question
Which question should be answered at the end?
Input
Which data, observations, or materials are available?
Working area
- Area 1:
- Area 2:
- Area 3:
- Relationships / patterns:
Output artifacts
- Prioritization Canvas:
- Hypothesis backlog:
Open questions
- ...
Next step
Owner, date, success signal.
When to choose differently
Short decision aid for existing alternatives.
Statt Hypothesis Prioritization Canvas, wenn du mit Assumption Mapping Annahmen nach Unsicherheit und Risiko ordnen und dann gezielt testen willst.
Similar methods
All methodsMoves customer problem, solution idea, and evidence toward a concrete result through "clarify the learning goal and the assumption to test", "formulate the hypothesis as an if-then statement", and "define the decision rule after the test".
Moves customer problem, solution idea, and evidence toward a concrete result through "collect assumptions explicitly", "rate uncertainty and leverage for each assumption", and "decide to pivot, persevere, or stop".
Verbindet kontinuierliche Product Discovery mit laufender Delivery, damit Teams lernen und liefern, ohne beides zu vermischen.
Moves customer problem, solution idea, and evidence toward a concrete result through "list assumptions", "map assumptions to dimensions", and "derive the test plan".
Turns customer problems, solution ideas, and evidence into a tangible result by setting outcomes, collecting opportunities, and updating learning status.
Aligns business problem, users, outcomes, solution ideas, hypotheses, and experiments on one lightweight canvas.