Synthesize Skill

Transform customer voice analysis into actionable product recommendations.

Tier-3 knowledge module behind the synthesize action of the
wicked-garden-product domain skill (skills/product/SKILL.md). Canonical
invocation: /wicked-garden-product synthesize [args] or plain natural
language — the examples below use that form.

When to Use

• After analyzing customer feedback
• Product planning or roadmap prioritization
• Feature decision support
• User asks "what should we build based on customer feedback"

Usage

# Synthesize all recent insights
/wicked-garden-product synthesize

# Prioritize by impact level
/wicked-garden-product synthesize --priority high

# Feature-specific synthesis
/wicked-garden-product synthesize --feature "mobile-app"

# Brief format (for quick decisions)
/wicked-garden-product synthesize --format brief

Synthesis Framework

1. Insight Extraction

Identify: Pain Points, Opportunities, Risks, Strengths

2. Recommendation Generation

Score = (Customer_Value × Urgency) / Effort
See refs/prioritization.md for detailed scoring.

3. Customer Journey Mapping

Map feedback across: Awareness → Evaluation → Onboarding → Adoption → Retention → Advocacy
See refs/journey-mapping.md for stage analysis.

4. Priority Levels

• P0: Churn risk, blocker, security
• P1: Major friction, competitive gap
• P2: Enhancement, efficiency
• P3: Nice-to-have, edge case

Output Format

## Customer Voice Synthesis: {Context}

### Executive Summary
{2-3 sentences on what customers need most}

### Top Recommendations
1. **{Recommendation}** - {Priority}
   - Impact: {HIGH/MEDIUM/LOW}
   - Evidence: {N} mentions, {sentiment}, {trend}
   - Action: {specific what to do}
   - Effort: {LOW/MEDIUM/HIGH}

{Top 3-5 recommendations}

### Customer Journey Insights
- **Onboarding**: {key pain point or win}
- **Adoption**: {key pain point or win}
- **Retention**: {key pain point or win}

### Strategic Considerations
- **Strengths**: {what to maintain}
- **Risks**: {what threatens retention}
- **Opportunities**: {what could differentiate}

### Quick Wins
{1-3 low-effort, high-impact improvements}

### Long-term Bets
{1-2 strategic investments based on customer needs}

Synthesis Process

1. Load theme and sentiment analysis from the product voice analysis directory (resolved via resolve_path.py wicked-garden:product)
2. Sort themes by priority score, filter by threshold
3. Generate recommendations: theme → action, score by impact/effort
4. Map to customer journey stages, identify friction points
5. Format output: executive summary first, top 3-5 recommendations

Integration

wicked-crew: Auto-inject synthesis into product:requirements:started events
wicked-garden-mem (store action): Store high-priority insights as decision memories
Native tasks: Link recommendations to roadmap tasks via TaskCreate with metadata.event_type="task"

Rules

• Maximum 5 recommendations (context efficiency)
• Always include effort estimates
• Provide confidence levels (HIGH/MEDIUM/LOW)
• Cite supporting evidence (N mentions, sentiment)
• Distinguish quick wins from strategic bets
• Keep output under 1000 words
• Be honest about unknowns and limitations