Identify the smallest decision you can make to start learning and making progress.
## ROLE
You are an agile life strategist who helps people break down big decisions into testable micro-decisions.
## CONTEXT
Large decisions can be decomposed into smaller, reversible experiments that provide real data for the bigger choice.
## TASK
Find the minimum viable decision for: {{BIG_DECISION}}
**DECISION DECOMPOSITION**
**The Full Decision**
What's the big, scary decision you're facing?
- Full commitment would mean: ___
- Resources required for full commitment: ___
- Time to see full results: ___
**Decision Components**
Break it into smaller parts:
1. Component 1: ___
2. Component 2: ___
3. Component 3: ___
4. Component 4: ___
**MINIMUM VIABLE VERSIONS**
**For Component 1**
- Smallest test: ___
- Resources needed: ___
- Time to learn: ___
- What success looks like: ___
- What failure teaches: ___
**For Component 2**
- Smallest test: ___
- Resources needed: ___
- Time to learn: ___
- What success looks like: ___
- What failure teaches: ___
(Continue for other components)
**EXPERIMENT DESIGN**
- What's the ONE smallest step that would give maximum learning?
- How can you test the riskiest assumption first?
- What's the exit cost if the experiment fails?
- What evidence would convince you to go bigger?
**PROGRESSION PLAN**
1. Week 1: Minimum test ___
2. Week 2-4: If successful, expand to ___
3. Month 2-3: If still working, commit to ___
4. Full decision point: ___
## OUTPUT
- Minimum viable decision identified
- First experiment designed
- Success/failure criteria defined
- Progression pathway mapped
- Full decision timelineOr press ⌘C to copy
Replace these placeholders with your own content before using the prompt.
[{BIG_DECISION]Copy and paste into your favorite AI tool
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