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Discover the most effective Metrics prompts. High-quality templates curated by experts to help you get professional AI results.
Measure which prompt performs better. Features: 1. Two versions of a prompt (Variant A vs B). 2. Key Metrics: Relevancy Score, Accuracy, Response Speed, Token Usage. 3. Statistically significant 'Winner' badge. 4. User feedback collection tool for manual evaluation. 5. Chart comparing costs over 1,0...
Build a comprehensive product metrics dashboard. Key metrics: 1. Acquisition (signups, activation rate). 2. Engagement (DAU/MAU, feature adoption). 3. Retention (cohort analysis, churn rate). 4. Revenue (MRR, ARPU, LTV). 5. Referral (viral coefficient, NPS). Use AARRR (Pirate Metrics) framework. Cre...
Measure and validate product-market fit. Indicators: 1. Sean Ellis test (% users 'very disappointed' if product disappeared >40%). 2. Retention cohorts (flattening curve after initial drop). 3. Organic growth rate (word-of-mouth, low CAC). 4. NPS score (>50 is excellent). 5. Sales cycle length (decr...
Implement NPS program. Process: 1. Survey timing (post-interaction or periodic). 2. Question: 'How likely to recommend 0-10?' 3. Categorize: Promoters (9-10), Passives (7-8), Detractors (0-6). 4. Calculate: %Promoters - %Detractors. 5. Follow-up questions for context. 6. Close the loop with responde...
Set up comprehensive funnel analytics to optimize conversion. Define key funnels: 1. Acquisition: landing page → signup → activation. 2. Conversion: trial start → paid conversion. 3. Engagement: login → core action → return visit. Track events: use event-based analytics (Amplitude, Mixpanel) not jus...
Set fair, achievable, stretching quotas. Inputs: 1. Company revenue goal. 2. Number of reps. 3. Historical attainment (what % hit quota). 4. Market capacity (total addressable market, saturation). 5. Sales cycle length. 6. Average deal size. Bottom-up calculation: Company needs $10M revenue. Reps: 1...
Calculate and optimize CAC. Formula: Total Sales & Marketing Costs ÷ Number of New Customers. Best practices: 1. Segment by channel. 2. Include all costs (tools, salaries, ads). 3. Track cohorts over time. 4. Compare to LTV (LTV:CAC ratio should be 3:1). 5. Payback period (ideally < 12 months). 6. O...
Set and track Objectives and Key Results for product success. OKR structure: Objective (qualitative goal) + 3-5 Key Results (quantitative outcomes). Example: Objective: 'Improve user onboarding experience.' Key Results: 1. Increase DAU/MAU ratio from 15% to 25%. 2. Reduce time-to-first-value from 7 ...
Calculate customer lifetime value. Formula: Average Order Value × Purchase Frequency × Customer Lifespan. Approaches: 1. Historical (actual data). 2. Predictive (cohort analysis). 3. Segment by customer type. 4. Factor in churn rate. 5. Include gross margin. 6. Discount future cash flows (NPV). 7. T...
Build comprehensive analytics infrastructure for data-driven decisions. Analytics architecture: 1. Data collection: event tracking, user interactions, system metrics. 2. Data pipeline: ETL processes, data validation, transformation. 3. Data warehouse: centralized storage, dimensional modeling. 4. Bu...
