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
Problem Space Exploration
Thoroughly explore problem spaces before committing to solutions
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AnalysisUse Cases
Problem framingDiscovery phaseStrategic analysis
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gpt-4claude-3
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