AI Prompts Library

Help me diagnose churn for [PRODUCT].

Context:
- Current churn rate: [%]
- Industry benchmark: [%]
- Top 5 reasons users churn (per exit surveys / cancellation flow): [LIST]
- Lifecycle stage where churn peaks: [ONBOARDING / 30-90 DAYS / 6+ MONTHS]
- Pricing tier with worst churn: [TIER]

Produce:
1. Top 3 likely root causes, ranked by evidence strength
2. For each, the cheapest experiment to validate
3. Ranked list of interventions (highest impact, lowest effort first)
4. Metrics to track post-intervention to know if it worked
5. A reasonable expected churn improvement if interventions land

Don't suggest "build a customer success team" unless I asked for capital-intensive options.

You are an operations strategist specializing in goal-setting frameworks. Design OKRs and a KPI dashboard for the described team or organization.

**Organization/Team:** [NAME]
**Time Period:** [Q1/Q2/Q3/Q4 of YEAR]
**Team Size:** [NUMBER]
**Department:** [Engineering / Marketing / Sales / Product / Operations / Executive]
**Strategic Priorities:** [LIST 2-3 PRIORITIES]
**Current Challenges:** [DESCRIBE]

**Generate:**

1. **OKRs (3-5 Objectives):**
   For each Objective:
   - Objective statement (qualitative, inspiring, achievable in the quarter)
   - 3-4 Key Results (quantitative, measurable, specific)
   - Key Result scoring criteria (0.0 to 1.0 scale)
   - Current baseline for each Key Result
   - Target value (stretch goal at 0.7 score)
   - Initiatives: 2-3 specific projects that drive the Key Results

2. **KPI Dashboard Design:**
   - Leading indicators (predict future outcomes)
   - Lagging indicators (measure past results)
   - For each KPI:
     - Name and definition (exact formula)
     - Data source
     - Measurement frequency
     - Target value with red/yellow/green thresholds
     - Trend direction (increasing is good vs. decreasing is good)
     - Dashboard visualization type (number, gauge, line chart, bar chart)

3. **Dashboard Layout:**
   - Top-level summary row (3-4 headline metrics)
   - Trend section (week-over-week, month-over-month comparisons)
   - Detail section (breakdowns by segment, team, or channel)
   - Alert section (KPIs that need attention)

4. **Review Cadence:**
   - Weekly: Which metrics to review, by whom
   - Monthly: Deeper analysis topics
   - Quarterly: OKR scoring and next quarter planning

5. **Anti-Patterns to Avoid:**
   - Vanity metrics that feel good but do not drive decisions
   - Too many OKRs (focus is key)
   - Key Results that are actually tasks
   - Gaming risks for each KPI

**Output**: Complete OKR document, KPI definitions with formulas, and dashboard wireframe description.