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audience-feedback-summariserlisted

Reads a batch of raw audience comments, emails, or survey responses about a piece of content and produces a structured summary of what readers valued, what confused them, and what they want more of.
ur-grue/autopunk-media-skills · ★ 9 · AI & Automation · score 82
Install: claude install-skill ur-grue/autopunk-media-skills
# Audience Feedback Summariser ## What This Skill Does Reads a batch of raw audience comments, emails, or survey responses about a piece of content and produces a structured summary of what readers valued, what confused them, and what they want more of. ## When To Use This Skill - After a story, episode, or video has been live for 48–72 hours and comments have accumulated - Before a follow-up piece, to understand what questions the original left unanswered - When an editor needs to report audience sentiment to a commissioning team or sponsor - After a newsletter campaign, to assess reader reaction before the next issue ## What You Need To Provide **Required:** A block of raw feedback — comments copied from a platform, email replies pasted together, or survey free-text responses. Minimum 10 responses for meaningful patterns; 30 or more is ideal. **Optional:** The original headline and a one-sentence description of the content the feedback refers to. The platform the feedback came from (comments section, email, social media, survey). Any specific question you want the summary to answer (e.g. "Did readers understand the data visualisation?"). ## How the Assistant Approaches This 1. Reads all feedback as a single corpus, ignoring obvious spam or off-topic replies, and identifies recurring themes — both positive and critical. 2. Groups themes by type: what landed well, what confused or frustrated readers, what follow-up questions they raised, and any notable emotional response