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retention-cohort-interpreterlisted

Interpret cohort retention tables into plain-language diagnosis: curve health, drop-off points, benchmark comparison, and next steps. Use when reviewing weekly/monthly retention data, preparing investor updates, or diagnosing churn. Triggers: 'analyze retention cohort', 'interpret cohort table', 'diagnose retention drop', 'проанализируй таблицу удержания', 'интерпретируй когортный анализ', 'диагностируй отвал по когортам'.
KirKruglov/claude-skills-kit · ★ 10 · AI & Automation · score 82
Install: claude install-skill KirKruglov/claude-skills-kit
# Retention Cohort Interpreter This skill interprets cohort retention tables for product managers and analysts, translating raw retention data into actionable plain-language diagnostics. Paste any cohort table (CSV or markdown) and receive a structured report: curve health assessment, key drop-off windows, industry benchmark comparison, hypotheses, and prioritized next steps. **Input:** - Cohort retention table (pasted as CSV, markdown table, or space-separated numbers; rows = cohorts, columns = time periods, values = % retained or user counts) - Optional: product type (mobile app / SaaS / marketplace / consumer), cohort definition, current goal context **Output:** - Structured markdown report with sections: Curve Health, Key Drop-off Points, Benchmark Comparison, Hypotheses, Recommended Next Steps --- ## Language Detection Detect the user's language from their message: - If Russian (or contains Cyrillic): respond in Russian - If English (or other Latin-script language): respond in English - If ambiguous: respond in the language of the trigger phrase used --- ## Instructions ### Step 1: Validate and Parse Input 1. Check that a retention table is provided - If no table provided (description only, or question without data): stop and report: "Retention table required. Paste your cohort data as a CSV, markdown table, or plain numbers with headers." 2. Identify table structure - Rows = cohorts (signup week/month, acquisition channel, or similar) - Columns = tim