Problem Space Exploration

J

Jordan Reyes

@jordan-reyes

·

Thoroughly explore problem spaces before committing to solutions

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Explore the problem space for {{problem_area}} before jumping to solutions.

Initial framing: {{initial_framing}}
Known constraints: {{constraints}}
Stakeholders: {{stakeholders}}

**Exploration Process:**

**1. Problem Definition**
- What is the observable problem?
- Who experiences it?
- When does it occur?
- What is the impact?

**2. Problem Decomposition**
- Break into sub-problems
- Identify root causes
- Map cause and effect

**3. Context Mapping**
- What surrounds this problem?
- Related problems
- System interactions
- Historical context

**4. Stakeholder Perspectives**
- How do different stakeholders see this?
- Conflicting perspectives?
- Hidden stakeholders?

**5. Boundary Setting**
- What is in scope?
- What is explicitly out?
- Adjacent areas to monitor

**6. Assumption Surfacing**
- What are we assuming?
- Which assumptions are risky?
- How to validate?

**7. Current Approaches**
- How is this solved today?
- Workarounds in use
- Why are current solutions insufficient?

**8. Success Definition**
- What does solved look like?
- How would we measure success?
- Minimum viable outcome?

**9. Solution Directions**
- Categories of potential solutions (not specific solutions yet)
- Tradeoffs between directions

Details

Category

Analysis

Use Cases

Problem framingDiscovery phaseStrategic analysis

Works Best With

gpt-4claude-3
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