Ethan Reed·
Turned my trial-funnel analysis into ranked recommendations on an impact-vs-ease matrix with a 90-day plan
Transform data analysis into prioritized, actionable business recommendations with implementation roadmaps and success metrics.
Insight-to-Action Recommendation Engine
You are a principal at a data-driven strategy consultancy. I've completed an analysis and need you to convert insights into prioritized, actionable recommendations.\n\nBUSINESS CONTEXT: {{business_context}}\nANALYSIS OBJECTIVE: {{what_question_the_analysis_answered}}\nKEY DECISION MAKER: {{who_will_act_on_these_recommendations}}\nTIMELINE FOR ACTION: {{implementation_timeline}}\nRESOURCE CONSTRAINTS: {{budget_and_team_constraints}}\n\nDATA & INSIGHTS (paste your analysis results, charts, key findings, statistical outputs):\n{{analysis_results}}\n\nOUTPUT — Insight-to-Action Recommendation System:\n\n## 1. INSIGHT SYNTHESIS\nDistill the analysis into 5-7 'so what' insights:\n\n| # | Insight | Evidence Strength | Surprise Level | So What? |\n|---|---------|------------------|----------------|----------|\n- Insight: The non-obvious finding, stated as a complete sentence\n- Evidence Strength: [Strong / Moderate / Suggestive]\n- Surprise Level: [Expected / Moderately Surprising / Counter-intuitive]\n- So What?: One-sentence business implication\n\n## 2. RECOMMENDATION HIERARCHY\nGenerate 4-6 specific, actionable recommendations. For each:\n\n**RECOMMENDATION [N]: {{recommendation_title}}**\n- **Action Statement**: One clear, imperative sentence starting with a verb (e.g., 'Consolidate vendor relationships to reduce procurement costs by 15%')\n- **Supporting Insight**: Which insight(s) from Section 1 support this?\n- **Expected Impact**: Quantified where possible (revenue, cost, time, quality)\n- **Implementation Complexity**: [Low / Medium / High]\n- **Resource Requirements**: People, budget, technology, time\n- **Key Stakeholders**: Who needs to be involved/bought in?\n- **Dependencies**: What must happen first?\n- **Risk of Inaction**: What happens if we don't do this?\n- **Confidence Level**: [High / Medium / Low] based on evidence strength\n\n## 3. PRIORITIZATION MATRIX\nPlot recommendations on Impact vs. Effort/Ease matrix:\n\n| Recommendation | Impact (1-5) | Ease (1-5) | Score (Impact×Ease) | Quadrant | Priority | Quick Win? |\n|---------------|-------------|-----------|---------------------|----------|----------|------------|\n\nQuadrants:\n- **Quick Wins** (High Impact, High Ease): Do first — immediate momentum\n- **Major Projects** (High Impact, Low Ease): Plan carefully — high resource\n- **Fill-ins** (Low Impact, High Ease): Do when capacity allows\n- **Avoid/Challenge** (Low Impact, Low Ease): Question necessity\n\n## 4. IMPLEMENTATION ROADMAP\nPhase recommendations into a 90-day execution plan:\n\n**PHASE 1: Foundation (Days 1-30)**\n- Actions, owners, deliverables\n\n**PHASE 2: Acceleration (Days 31-60)**\n- Actions, owners, deliverables\n\n**PHASE 3: Scale (Days 61-90)**\n- Actions, owners, deliverables\n\n## 5. SUCCESS METRICS & KPIs\nFor each recommendation, define:\n- **Leading indicator** (early sign of progress, measured weekly)\n- **Lagging indicator** (ultimate outcome, measured monthly/quarterly)\n- **Target**: Specific number and deadline\n- **Measurement method**: How we'll track it\n\n## 6. RISK & MITIGATION PLAN\n| Risk | Probability | Impact | Mitigation | Contingency | Owner |\n|------|-------------|--------|------------|-------------|-------|\n\n## 7. COMMUNICATION TEMPLATE\n- Executive summary (5 bullets for {{who_will_act_on_these_recommendations}})\n- Detailed briefing outline for implementation team\n- FAQ: Anticipated objections and responses
Ergebnisse
# Insight-to-Action — Reducing Free-Trial Drop-Off
**Context:** B2B SaaS, 14-day trial, conversion stuck at 9%. **Decision maker:** Head of Growth. **Timeline:** 90 days. **Constraints:** 2 PMs, no new eng hires.
## 1. Insight Synthesis
| # | Insight | Evidence | So What? |
|---|---------|----------|----------|
| 1 | 62% of trials never complete the first core action | Strong | Onboarding, not pricing, is the leak |
| 2 | Trials that invite a teammate convert 3.4× | Strong | Collaboration is the activation trigger |
| 3 | Day-7 email has 4% CTR (worst in flow) | Moderate | Lifecycle messaging underperforms |
## 2. Recommendations
**R1 — Rebuild onboarding around the first core action.** Impact: High · Complexity: Med · Owner: PM-A. Risk of inaction: the 62% keep leaking.
**R2 — Add a one-click "invite a teammate" step.** Impact: High · Complexity: Low. Quick win.
**R3 — Replace the day-7 email with an in-app checklist nudge.** Impact: Med · Complexity: Low.
## 3. Prioritization (Impact × Ease)
| Rec | Impact | Ease | Quadrant |
|-----|--------|------|----------|
| R2 | 4 | 5 | Quick Win |
| R3 | 3 | 4 | Quick Win |
| R1 | 5 | 2 | Major Project |
## 4. Roadmap
- **Days 1–30:** ship R2 + R3 (quick wins), instrument activation funnel.
- **Days 31–60:** redesign onboarding (R1), A/B against control.
- **Days 61–90:** scale the winner, kill underperformers.
## 5. Success Metrics
Leading: first-core-action rate (weekly). Lagging: trial→paid conversion. Target: 9% → 14% by day 90.
Modell: Claude Sonnet 4
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