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    Data Analysis
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    Automating Cohort Retention Analysis with a Reusable Skill

    Nimrod Fisher

    Problem

    Teams often suspect early user drop off but lack a structured, repeatable way to measure it. Manual cohort analysis is time consuming, inconsistent, and difficult to standardize across product, marketing, and finance teams.

    Solution

    Use a Cohort Analysis skill built on an Access, Compute, Present framework. The skill transforms user level data into deterministic cohort calculations, aggregates weekly retention across selected dimensions, and generates a consistent interactive HTML output. By embedding semantic validation and process documentation, teams gain faster insights into where drop off occurs and when retention stabilizes, without rebuilding the logic each time.

    Prompt

    npx @ai-analytics-hub/cohort-analysis-skill@latest

    Walkthrough