The method helps clarify options, criteria, and risks concretely. It separates options, evaluation criteria, and open risks. The result is captured as a decision tree, option map, and assumption list.
Decision Tree
Turns options, criteria, and risks into a tangible result by defining the decision question, collecting options and conditions, and discussing the best path.
Which option or rule emerges when conditions, consequences, and uncertainties are explicitly branched?
The team follows the steps: define decision question, collect options and conditions, draw branches and outcomes, add risks or probabilities, and discuss the best path. Each step is captured visibly. At the end, a decision tree, option map, and assumption list are available so decisions, tests, or actions can follow directly.
Visual orientation
Method sketch for a quick mental model.
Flow
- 1Define decision question
- 2Collect options and conditions
- 3Draw branches and outcomes
- 4Add risks or probabilities
- 5Discuss best path
The runsheet guides execution with 5 phases, timeboxes, 5 pitfalls, and clear stop criteria.
Open runsheetIdeal for
- Option evaluation
- Policy design
- Product or process logic
Not good for
- Broad strategy questions without criteria
- Creative ideation
Deep dive
Decision Tree follows a clear working logic: define decision question, collect options and conditions, draw branches and outcomes, add risks or probabilities, and discuss the best path. This turns the method into a visible thinking process instead of only a discussion. Participants move step by step from raw material, observations, or options toward a shared structure. As a result, a decision tree, option map, and assumption list support decisions, learning, and planning.
Prepare a clear guiding question, the right information, and a visible workspace. Plan for 30-90 min with 1-6 people and use the format in either a workshop or asynchronously. The facilitation needs structure and preparation; short timeboxes, visible intermediate results, and a parking lot for open questions are helpful.
Decision Tree Working TemplateCompact working template for Decision Tree with decision question, branches, outcomes, and recommendation.canvas
decision-tree-working-template.md
Compact working template for Decision Tree with decision question, branches, outcomes, and recommendation.
Decision Tree Working Template
Goal
Map options, conditions, and outcomes so the decision becomes explicit.
Context
When and for what do we use this method?
Input
Which data, observations, decisions, or materials are available?
Working area
- Decision question:
- Options:
- Conditions:
- Branches and outcomes:
- Risks and probabilities:
Output artifacts
- Decision tree:
- Option map:
- Assumption list:
Open questions
- ...
Next step
Owner, date, and success signal.
When to choose differently
Short decision aid for existing alternatives.
Statt Decision Tree, wenn mehrere Optionen nach gemeinsamen Kriterien bewertet werden sollen und keine verzweigten Folgepfade nötig sind.
Similar methods
All methodsTurns options, criteria, and risks into a tangible result by framing the decision, collecting options, and documenting trade-offs and the decision.
Clarifies options, criteria, and risks by framing the central question, recording the main claim, and marking weak spots.
Turns options, criteria, and risks into a tangible result by observing the situation, interpreting signals and context, and reviewing the effect of each cycle.
Turns options, criteria, and risks into a tangible result by collecting rough options, consolidating them, and creating a comparable shortlist.
Turns options, criteria, and risks into a tangible result by defining scope, clarifying the Red Team role, and deriving mitigations.
Turns options, criteria, and risks into a tangible result by listing options, defining criteria, and checking result and sensitivity.
Statt Decision Tree, wenn mehrere Optionen nach gemeinsamen Kriterien bewertet werden sollen und keine verzweigten Folgepfade nötig sind.