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commands/analyze-interviews.md
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commands/analyze-interviews.md
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---
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description: Extract themes and insights from interview transcripts with intelligent agent scaling
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argument-hint: [output-name] [transcripts-directory] [--context-file]
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---
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# Analyze Interview Transcripts
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Analyze all interview transcripts in a directory, extract themes, rank insights, and generate a comprehensive report.
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## Step 1: Discover and Validate Transcripts
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**Scan the transcripts directory ($2):**
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- Find all text files (.txt, .md, .doc, .docx)
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- Count total transcripts
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- Calculate total file size and estimated token count
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- Identify any context files (ICP, research goals, methodology docs)
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**Look for context file ($3):**
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- If --context-file argument provided, read that file
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- If not provided, look for common files in directory:
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- `icp.md` or `ideal-customer-profile.md`
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- `research-goals.md` or `objectives.md`
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- `methodology.md`
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- `customer-profile.md` or `persona.md`
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**Report to user:**
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```markdown
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## 📁 Transcripts Discovered
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**Directory:** $2
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**Transcripts found:** [number] files
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**Total size:** [size in MB]
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**Estimated tokens:** ~[number]k tokens
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**Files:**
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- [filename 1] ([size])
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- [filename 2] ([size])
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- [etc.]
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**Context documents found:**
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- [ICP/research goals/methodology if found, or "None"]
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Would you like to proceed with analysis?
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```
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**Wait for user confirmation.**
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---
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## Step 2: Determine Agent Scaling Strategy
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Based on workload, intelligently determine how many parallel agents to use:
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**Agent Scaling Logic:**
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```
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If 1-3 transcripts:
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→ Use 1 agent (sequential analysis is fine)
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If 4-8 transcripts:
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→ Use 3 parallel agents
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→ Divide transcripts evenly (e.g., Agent 1: transcripts 1-3, Agent 2: 4-6, Agent 3: 7-8)
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If 9-15 transcripts:
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→ Use 5 parallel agents
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→ Divide transcripts evenly
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If 16+ transcripts:
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→ Use 8 parallel agents (optimal for most systems)
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→ Divide transcripts evenly
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ALSO consider total token count:
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If total tokens > 150k:
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→ Increase agent count by 1-2
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→ Example: 6 transcripts but 200k tokens → use 5 agents instead of 3
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If total tokens < 30k:
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→ Decrease agent count
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→ Example: 10 short transcripts with 25k tokens → use 3 agents instead of 5
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```
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**Present strategy to user:**
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```markdown
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## 🤖 Agent Strategy
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Based on [number] transcripts totaling ~[number]k tokens, I recommend using **[number] parallel agents** for efficient analysis.
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**How it works:**
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- Each agent will analyze [number] transcripts
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- Agents work simultaneously (faster than sequential)
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- All findings will be synthesized into final report
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**Agent assignments:**
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- Agent 1: [transcript names]
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- Agent 2: [transcript names]
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- [etc.]
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**Estimated time:** [minutes] minutes
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Would you like to:
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1. ✅ Proceed with this strategy
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2. 🔄 Adjust agent count (tell me your preference)
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3. ❌ Cancel
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```
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**Wait for user approval or adjustment.**
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---
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## Step 3: Launch Theme Extraction Agents
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For each agent, use the Task tool with the **theme-extractor** agent:
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**Provide each agent with:**
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- Its assigned transcripts (full text)
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- Context file contents (if available)
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- Instructions to identify 3-5 major themes
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- Request supporting quotes for each theme
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**Track progress:**
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```markdown
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## 🔍 Extracting Themes
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- ✅ Agent 1: Complete (found 4 themes)
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- ✅ Agent 2: Complete (found 5 themes)
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- 🔄 Agent 3: In progress
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- ⏳ Agent 4: Pending
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- ⏳ Agent 5: Pending
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```
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**Once all agents complete, collect results:**
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- All themes from all agents
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- Supporting quotes
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- Frequency counts (how many transcripts mentioned each theme)
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---
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## Step 4: Synthesize and Rank Themes
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Use the **insight-ranker** agent to:
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**Consolidate themes:**
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- Merge duplicate/similar themes across agents
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- Example: "Pricing concerns" + "Cost barriers" → "Pricing and cost concerns"
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**Rank themes by:**
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1. **Frequency** - How many transcripts mentioned it
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2. **Relevance** - Alignment with ICP/research goals (if context provided)
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3. **Impact** - Magnitude of the insight (pain point severity, opportunity size)
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**Present ranked themes to user:**
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```markdown
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## 🎯 Top Themes Identified
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### Theme 1: [Theme Name]
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**Mentioned in:** [X] of [Y] transcripts ([percentage]%)
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**Relevance:** [High/Medium/Low based on ICP]
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**Key insight:** [One sentence summary]
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**Representative quote:**
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> "[Quote from transcript]"
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> — Participant [number/name]
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---
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### Theme 2: [Theme Name]
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[Same format...]
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---
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[Continue for top 5-7 themes]
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---
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**Would you like me to:**
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1. ✅ Proceed with final report generation
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2. 🔎 Deep dive into specific themes (tell me which ones)
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3. 🔄 Re-rank themes with different criteria
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```
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**Wait for user feedback.**
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---
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## Step 5: Generate Comprehensive Report
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Create a structured markdown report with:
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### Report Structure
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```markdown
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# Interview Analysis Report: [Output Name]
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**Analysis date:** [Date]
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**Transcripts analyzed:** [Number]
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**Context:** [ICP/research goals summary if available]
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---
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## Executive Summary
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[2-3 paragraph overview of most important findings]
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---
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## Methodology
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**Transcripts:**
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- [List of transcripts with dates if available]
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**Analysis approach:**
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- [Number] parallel agents
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- Theme extraction and consolidation
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- Ranking by frequency and relevance
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**Context documents:**
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- [List context files if used]
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---
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## Key Themes
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### 1. [Theme Name] ([frequency]% of interviews)
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**Summary:** [Detailed explanation of this theme]
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**Why it matters:** [Relevance to ICP/business goals]
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**Supporting quotes:**
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1. "[Quote]" — Participant [ID]
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2. "[Quote]" — Participant [ID]
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3. "[Quote]" — Participant [ID]
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**Recommendations:**
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- [Actionable insight 1]
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- [Actionable insight 2]
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---
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[Repeat for each major theme]
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---
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## Cross-Cutting Insights
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[Patterns that span multiple themes]
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---
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## Recommendations
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1. **[Priority]** [Recommendation based on findings]
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2. **[Priority]** [Recommendation based on findings]
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[etc.]
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---
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## Appendix: All Themes
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[Comprehensive list of all themes found, including lower-frequency ones]
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---
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**Analysis performed by:** Interview Transcript Analyzer plugin for Claude Code
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**Generated:** [Timestamp]
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```
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**Save report to:** `analysis/$1-analysis.md`
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---
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## Step 6: Deliver Results
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**Report to user:**
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```markdown
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## ✅ Analysis Complete!
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**Report location:** analysis/$1-analysis.md
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**Transcripts analyzed:** [number]
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**Themes identified:** [number] major themes, [number] total
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**Top insights:** [number]
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**Report sections:**
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- Executive Summary
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- Methodology
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- [Number] Key Themes (with quotes and recommendations)
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- Cross-cutting insights
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- Actionable recommendations
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**Next steps:**
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1. Review the full report
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2. Use `/extract-quotes [theme]` to find more quotes on specific themes
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3. Use `/rank-insights` to re-rank with different criteria
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```
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---
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## Error Handling
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**If no transcripts found:**
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```
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❌ No transcripts found in directory: $2
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Please ensure:
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- Directory path is correct
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- Transcripts are in supported formats (.txt, .md, .doc, .docx)
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- Files are readable
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Expected structure:
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interviews/
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├── interview-1.txt
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├── interview-2.txt
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└── context/
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└── icp.md
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```
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**If context file specified but not found:**
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```
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⚠️ Warning: Context file not found: $3
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Would you like to:
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1. Proceed without context (insights won't be ranked by ICP relevance)
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2. Specify a different context file
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3. Cancel and add context file first
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```
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**If agent fails during analysis:**
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- Save partial results from completed agents
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- Report which agent failed and why
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- Offer to retry with fewer agents or different allocation
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---
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## Usage Examples
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```bash
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# Basic analysis
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/analyze-interviews customer-feedback ./interviews/
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# With ICP context for relevance ranking
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/analyze-interviews product-research ./research/transcripts/ --context-file ./research/icp.md
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# Large-scale analysis (automatically uses more agents)
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/analyze-interviews enterprise-study ./enterprise-interviews/
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```
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---
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## Tips for Best Results
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**Organize transcripts clearly:**
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- Use descriptive filenames (`interview-customer-name.txt`)
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- Include dates if relevant (`2024-01-15-interview-acme-corp.txt`)
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- Keep transcripts in dedicated directory
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**Provide context:**
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- ICP document helps rank insights by relevance
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- Research goals ensure findings align with objectives
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- Methodology doc helps interpret findings appropriately
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**For large datasets:**
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- The plugin will automatically scale agents (no manual config needed)
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- More transcripts = more agents = faster analysis
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- Expected speed: ~15-20 transcripts in 15-20 minutes with 8 agents
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168
commands/extract-quotes.md
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168
commands/extract-quotes.md
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---
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description: Find representative quotes on specific topics from interview transcripts
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argument-hint: [topic] [transcripts-directory] [--max-quotes]
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---
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# Extract Quotes by Topic
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Find the most representative and compelling quotes about a specific topic from interview transcripts.
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## Step 1: Scan Transcripts
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**Search directory $2 for transcripts:**
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- Identify all transcript files
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- Count total transcripts available
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**Report to user:**
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```markdown
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## 📁 Transcripts Found
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**Directory:** $2
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**Transcripts:** [number] files
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**Topic to search:** "$1"
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Proceeding to extract relevant quotes...
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```
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---
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## Step 2: Extract Relevant Quotes
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Use the **quote-selector** agent to:
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**For each transcript:**
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1. Search for mentions of topic "$1" (and related terms)
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2. Extract full quote with context
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3. Rate quote quality (clarity, insight value, brevity)
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4. Include speaker/participant attribution if available
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**Quote selection criteria:**
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- **Relevant** - Directly addresses the topic
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- **Insightful** - Reveals something meaningful
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- **Clear** - Standalone understandable
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- **Concise** - Not overly long (prefer 1-3 sentences)
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- **Authentic** - Conversational tone preserved
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---
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## Step 3: Rank and Present Quotes
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**Default: Show top 10 quotes**
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**If --max-quotes specified: Show that many**
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**Present to user:**
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```markdown
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## 💬 Quotes About: "$1"
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Found [total number] relevant quotes across [number] transcripts.
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Showing top [$3 or 10] by quality score.
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---
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### Quote 1 (Score: [X]/10)
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> "[Full quote text]"
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**Source:** [Transcript name / Participant ID]
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**Context:** [Brief context if helpful - when/why this was said]
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---
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### Quote 2 (Score: [X]/10)
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[Same format...]
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---
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## Quote Categories
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**By theme:**
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- [Sub-theme 1]: [count] quotes
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- [Sub-theme 2]: [count] quotes
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**By sentiment:**
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- Positive: [count]
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- Negative/Pain point: [count]
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- Neutral: [count]
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---
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## Usage Tips
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**To find more quotes:**
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```bash
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/extract-quotes "[topic]" [directory] --max-quotes 20
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```
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**To search related terms:**
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```bash
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/extract-quotes "pricing or cost or budget" [directory]
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```
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```
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---
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## Step 4: Optional - Export Quotes
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**Ask user:**
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```
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Would you like to:
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1. Save these quotes to a file (quotes/$1-quotes.md)
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2. Copy to clipboard for pasting elsewhere
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3. Just view them here
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```
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**If user chooses save:**
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- Create `quotes/` directory if needed
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- Save as `quotes/$1-quotes.md` with all quotes in markdown format
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---
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## Error Handling
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**If topic not found in any transcript:**
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```
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⚠️ No quotes found for topic: "$1"
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Suggestions:
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- Try broader search terms
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- Check transcript file names to ensure they're included
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- Try related terms: /extract-quotes "[alternative terms]"
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```
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|
||||
**If no transcripts in directory:**
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```
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❌ No transcripts found in: $2
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||||
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Please ensure:
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||||
- Directory path is correct
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- Transcripts are in .txt or .md format
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```
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|
||||
---
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||||
|
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## Usage Examples
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||||
|
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```bash
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# Find quotes about pricing
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/extract-quotes pricing ./interviews/
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# Find more quotes with custom limit
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/extract-quotes "product feedback" ./interviews/ --max-quotes 20
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# Search multiple related terms
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/extract-quotes "onboarding or getting started" ./customer-calls/
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```
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|
||||
---
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||||
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## Tips
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**Effective search terms:**
|
||||
- Single concepts: `pricing`, `features`, `support`
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- Multi-word phrases: `"user experience"`, `"biggest challenge"`
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- Related terms with OR: `"price or cost or budget"`
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**Quote quality:**
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- Scores 8-10: Exceptional quotes (use in presentations)
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- Scores 6-7: Good quotes (use in reports)
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- Scores 4-5: Useful context (reference material)
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252
commands/rank-insights.md
Normal file
252
commands/rank-insights.md
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@@ -0,0 +1,252 @@
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---
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||||
description: Re-rank insights from previous analysis with different criteria
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argument-hint: [analysis-file] [--criteria]
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||||
---
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||||
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# Re-Rank Insights
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Re-rank insights from a previous analysis using different criteria (frequency, impact, relevance, or custom).
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|
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## Step 1: Load Previous Analysis
|
||||
|
||||
**Read the analysis file ($1):**
|
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- Parse all themes/insights from the file
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||||
- Extract frequency data
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||||
- Note any existing rankings
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||||
|
||||
**Report to user:**
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||||
```markdown
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||||
## 📊 Analysis Loaded
|
||||
|
||||
**File:** $1
|
||||
**Themes found:** [number]
|
||||
**Current ranking:** [Current criteria if specified]
|
||||
|
||||
**Available themes:**
|
||||
1. [Theme name] - Currently ranked #1
|
||||
2. [Theme name] - Currently ranked #2
|
||||
[etc.]
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||||
|
||||
How would you like to re-rank these insights?
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||||
```
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||||
|
||||
---
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||||
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||||
## Step 2: Select Ranking Criteria
|
||||
|
||||
**Present options to user:**
|
||||
```markdown
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||||
## 🎯 Ranking Criteria Options
|
||||
|
||||
Choose how to rank insights:
|
||||
|
||||
1. **Frequency** - Most mentioned themes first
|
||||
- Best for: Understanding what came up most often
|
||||
- Data available: ✅
|
||||
|
||||
2. **Impact** - Highest impact/severity first
|
||||
- Best for: Prioritizing what to act on
|
||||
- Requires: Manual input or impact assessment
|
||||
|
||||
3. **Relevance to ICP** - Best fit with ideal customer profile
|
||||
- Best for: Focusing on target audience needs
|
||||
- Requires: ICP document for comparison
|
||||
|
||||
4. **Business Value** - Revenue/strategic opportunity size
|
||||
- Best for: ROI-focused prioritization
|
||||
- Requires: Business context assessment
|
||||
|
||||
5. **Ease of Implementation** - Quick wins first
|
||||
- Best for: Tactical planning
|
||||
- Requires: Feasibility assessment
|
||||
|
||||
6. **Custom** - Provide your own criteria
|
||||
- Example: "Rank by technical complexity" or "Rank by customer segment"
|
||||
|
||||
Which criteria would you like to use? [1-6 or describe custom]
|
||||
```
|
||||
|
||||
**Wait for user selection.**
|
||||
|
||||
---
|
||||
|
||||
## Step 3: Apply Ranking Criteria
|
||||
|
||||
Based on user's choice:
|
||||
|
||||
### If Frequency (Option 1):
|
||||
- Simply re-sort themes by mention count
|
||||
- No additional analysis needed
|
||||
|
||||
### If Impact (Option 2):
|
||||
Use the **insight-ranker** agent to:
|
||||
- Review each theme
|
||||
- Assess potential impact (pain point severity, opportunity size)
|
||||
- Rank accordingly
|
||||
|
||||
### If Relevance to ICP (Option 3):
|
||||
**Ask for ICP document:**
|
||||
```
|
||||
Please provide path to your ICP document, or I'll look for:
|
||||
- icp.md
|
||||
- ideal-customer-profile.md
|
||||
- customer-profile.md
|
||||
in the analysis directory
|
||||
```
|
||||
|
||||
Then use **insight-ranker** agent to:
|
||||
- Read ICP document
|
||||
- Score each theme by alignment with ICP characteristics
|
||||
- Rank by relevance score
|
||||
|
||||
### If Business Value (Option 4):
|
||||
**Prompt user for context:**
|
||||
```
|
||||
To rank by business value, I need to understand:
|
||||
1. Revenue impact indicators (which themes suggest upsell/retention opportunities?)
|
||||
2. Strategic priorities (which align with company goals?)
|
||||
|
||||
Please provide:
|
||||
- Business goals document, OR
|
||||
- Quick description of strategic priorities
|
||||
|
||||
Or I can make best-effort assessment based on theme content.
|
||||
```
|
||||
|
||||
### If Custom (Option 6):
|
||||
**Ask user to clarify:**
|
||||
```
|
||||
Please describe your custom ranking criteria:
|
||||
Example: "Rank by technical complexity, easiest first"
|
||||
Example: "Rank by enterprise vs SMB relevance"
|
||||
Example: "Rank by urgency based on competitive pressure"
|
||||
```
|
||||
|
||||
Then use **insight-ranker** agent with custom instructions.
|
||||
|
||||
---
|
||||
|
||||
## Step 4: Present Re-Ranked Results
|
||||
|
||||
```markdown
|
||||
## ✅ Insights Re-Ranked: [Criteria]
|
||||
|
||||
### New Ranking:
|
||||
|
||||
#### #1: [Theme Name]
|
||||
**Previous rank:** #[old position]
|
||||
**Score:** [Score based on criteria] / 10
|
||||
**Why this ranking:** [Brief explanation of why it ranks here]
|
||||
|
||||
**Key insight:** [One sentence summary]
|
||||
|
||||
---
|
||||
|
||||
#### #2: [Theme Name]
|
||||
[Same format...]
|
||||
|
||||
---
|
||||
|
||||
[Continue for all themes]
|
||||
|
||||
---
|
||||
|
||||
## Ranking Changes
|
||||
|
||||
**Moved up:**
|
||||
- [Theme]: #[old] → #[new] (↑[change])
|
||||
|
||||
**Moved down:**
|
||||
- [Theme]: #[old] → #[new] (↓[change])
|
||||
|
||||
**Stayed same:**
|
||||
- [Theme]: #[position]
|
||||
|
||||
---
|
||||
|
||||
## Next Steps
|
||||
|
||||
Would you like to:
|
||||
1. Save this new ranking to file (updates original or creates new)
|
||||
2. Compare rankings side-by-side (original vs new)
|
||||
3. Try different criteria
|
||||
4. Export top 3 insights as summary
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## Step 5: Save or Export (Optional)
|
||||
|
||||
**If user chooses to save:**
|
||||
```markdown
|
||||
Options:
|
||||
1. ✅ Update original file ($1) with new ranking
|
||||
2. 📄 Save as new file (analysis/$1-reranked-[criteria].md)
|
||||
3. 📋 Just show me the ranking (don't save)
|
||||
|
||||
Which would you prefer?
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## Error Handling
|
||||
|
||||
**If analysis file doesn't exist:**
|
||||
```
|
||||
❌ Analysis file not found: $1
|
||||
|
||||
Available analysis files in current directory:
|
||||
- [file1]
|
||||
- [file2]
|
||||
|
||||
Usage: /rank-insights [analysis-file] [--criteria]
|
||||
```
|
||||
|
||||
**If insufficient data for chosen criteria:**
|
||||
```
|
||||
⚠️ Not enough data to rank by "[criteria]"
|
||||
|
||||
This ranking method requires:
|
||||
- [What's needed]
|
||||
|
||||
Would you like to:
|
||||
1. Choose different criteria
|
||||
2. Provide required context
|
||||
3. Cancel
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## Usage Examples
|
||||
|
||||
```bash
|
||||
# Rank by frequency (simplest)
|
||||
/rank-insights analysis/customer-research-analysis.md --criteria frequency
|
||||
|
||||
# Rank by ICP relevance
|
||||
/rank-insights analysis/interviews-analysis.md --criteria relevance
|
||||
|
||||
# Custom ranking
|
||||
/rank-insights analysis/feedback-analysis.md --criteria "urgency based on churn risk"
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## Tips for Effective Ranking
|
||||
|
||||
**Frequency ranking:**
|
||||
- Good for: Identifying consensus themes
|
||||
- Watch out for: Silent but critical minority opinions
|
||||
|
||||
**Impact ranking:**
|
||||
- Good for: Prioritizing action items
|
||||
- Consider: Both pain severity and opportunity size
|
||||
|
||||
**Relevance ranking:**
|
||||
- Good for: Focusing on target audience
|
||||
- Requires: Well-defined ICP
|
||||
|
||||
**Custom ranking:**
|
||||
- Most flexible
|
||||
- Best when you have specific strategic context
|
||||
- Examples: "competitive urgency", "implementation cost", "customer segment"
|
||||
Reference in New Issue
Block a user