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    🩹 Customer Pain Extractor

    by JustHandled Labs

    3

    It systematically scans text for high-intent signals such as workflow frustration, "can't" statements, and churn indicators.

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    See it in action

    You say

    Analyze the feedback in reviews.csv and tell me what the top three pain points are for our users.

    Your agent does

    Top Pain Points

    1. Sync Latency (Intensity: 9/10)
    • "Waiting 5 mins for changes to appear."
    • Meaning: Suboptimal DB indexing.
    • Test: Prototype real-time local-first sync.
    1. Price/Value Gap (Intensity: 6/10)
    • "Too expensive for just one feature."
    • Meaning: Tiering issues.

    What you get

    Identify high-intensity churn signals in support logsCluster feature requests into actionable product themesExtract direct customer quotes for sprint planning and user storiesAudit feedback for "can't" statements and workflow blockers

    About this skill

    What it does

    The Customer Pain Extractor is a specialized developer tool designed to transform unstructured feedback—like CSV exports, forum threads, and support logs—into actionable product insights. It systematically scans text for high-intent signals such as workflow frustration, "can't" statements, and churn indicators.

    Why use this skill

    Parsing hundreds of customer reviews manually is time-consuming and prone to bias. This skill uses a structured heuristic engine to identify repeated themes and rank them by frequency and intensity. Unlike a standard LLM prompt, it follows a rigorous audit checklist to prevent overclaiming market validation and ensures every insight is backed by direct customer quotes.

    What the output looks like

    You receive a prioritized list of themes (e.g., "Slow UI Response," "Pricing Friction") paired with raw customer quotes, an intensity score, and a "What to test next" recommendation. It provides a clear bridge between raw data and your next sprint planning or discovery phase.

    Supported tools

    • Local file formats: .txt, .md, .csv
    • Direct stdin input for pasted feedback
    • Customizable heuristic matching via JSON configuration

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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