153 lines
3.9 KiB
Markdown
153 lines
3.9 KiB
Markdown
# Skill: Design Thinking - Empathize
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## Description
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Deeply understand users through research, interviews, and observation to identify real pain points and needs.
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## Input
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- **context**: Product/feature context (required)
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- **target_users**: User segments to research (required)
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- **research_type**: interview|observation|survey|analytics (optional, default: interview)
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- **existing_data**: Current user feedback/analytics (optional)
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## Research Techniques
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### 1. User Interviews
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**Framework: TEDW**
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- **Tell** me about the last time you...
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- **Explain** your workflow for...
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- **Describe** the biggest challenge with...
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- **Walk** me through how you currently...
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**Best Practices:**
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- 5-7 users per segment minimum
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- Open-ended questions only
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- Listen 80%, talk 20%
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- Ask "why" 5 times (5 Whys technique)
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- Record exact quotes for later synthesis
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### 2. Pain Point Identification
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**Severity Matrix:**
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- **Critical**: Blocks core workflow, happens daily
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- **High**: Major frustration, weekly occurrence
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- **Medium**: Annoying but workaround exists
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- **Low**: Minor inconvenience, rare
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**Indicators:**
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- User workarounds/hacks
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- Manual data entry
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- Switching between tools
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- Waiting/delays
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- Errors/mistakes
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- Emotional language ("frustrating", "annoying")
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### 3. Empathy Mapping Template
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```
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SAYS (verbatim quotes)
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"I waste 2 hours every week on..."
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"Its so frustrating when..."
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THINKS (unspoken concerns)
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- Worried about making mistakes
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- Unsure if doing it right
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- Feels inefficient
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DOES (observed behaviors)
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- Opens 5 tabs to complete one task
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- Double-checks every entry
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- Asks colleagues for help
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FEELS (emotions)
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- Frustrated with repetitive work
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- Anxious about errors
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- Overwhelmed by complexity
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PAIN POINTS
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- [Critical pain identified]
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- [High priority pain]
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GAINS (what success looks like)
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- Completes task in <5 minutes
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- Confident in accuracy
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- No context switching
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```
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### 4. Observation Techniques
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**Contextual Inquiry:**
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- Shadow users in their environment
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- Note workarounds and hacks
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- Identify unstated needs
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- Look for patterns across users
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**What to Observe:**
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- Where do they slow down?
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- When do they switch tools?
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- What causes confusion/errors?
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- What do they complain about?
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## Output Format
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```json
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{
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"status": "success",
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"research_summary": {
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"users_interviewed": 7,
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"segments": ["power_users", "occasional_users"],
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"methods": ["interview", "observation"]
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},
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"user_personas": [
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{
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"name": "Sarah - Marketing Manager",
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"context": "Creates 10+ campaigns/month",
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"goals": ["Speed", "Consistency", "Analytics"],
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"frustrations": ["Manual data entry", "Lost context"],
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"quote": "I spend more time copying data than creating campaigns"
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}
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],
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"pain_points": [
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{
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"description": "Manual campaign setup takes 2+ hours",
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"severity": "critical",
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"frequency": "daily",
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"users_affected": 6,
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"evidence": ["Quote 1", "Quote 2"],
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"current_workaround": "Excel templates + copy-paste"
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}
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],
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"empathy_insights": [
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"Users prioritize speed over features",
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"Fear of making mistakes drives behavior",
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"Existing tools lack integration"
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],
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"key_quotes": [
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"I waste 2 hours every week on manual setup",
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"Im never confident I did it right"
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],
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"next_step": "Define problem with /dt define"
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}
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```
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## Quality Gates
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- [ ] At least 5 users per segment
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- [ ] Mix of qualitative + quantitative data
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- [ ] Clear pain points with severity ratings
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- [ ] Verbatim user quotes captured
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- [ ] Patterns identified across users
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- [ ] Jobs-to-be-done understood
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## Token Budget
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- Max input: 800 tokens
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- Max output: 2000 tokens
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## Model
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- Recommended: sonnet (deep analysis)
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## Philosophy
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> "People dont want a quarter-inch drill. They want a quarter-inch hole."
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> Focus on the underlying need, not the stated solution.
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**Keep it simple:**
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- Real users, real problems
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- Evidence over assumptions
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- Quality over quantity of feedback
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- Deep understanding over surface-level
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