Loading...
Loading...
Found 12 Skills
Riffrec product-feedback workflow. ALWAYS load when the user posts a `riffrec-*.zip`, a bundle with `session.json` + `events.json` + `recording.webm` + `voice.webm`, a video/audio recording for product feedback, or asks how to capture and share Riffrec sessions. Routes between setup, quick bug report, and extensive analysis.
Analyze user feedback data to identify segments with sentiment scores, JTBD, and product satisfaction insights. Use when analyzing user feedback at scale, running sentiment analysis on reviews or surveys, or identifying satisfaction patterns.
Segment users from feedback data based on behavior, JTBD, and needs. Identifies at least 3 distinct user segments. Use when segmenting a user base, analyzing diverse user feedback, or building a segmentation model.
Analyze user/customer feedback and produce a User Feedback Analysis Pack (source inventory, normalized feedback table, taxonomy/codebook, themes + evidence, recommendations, and feedback loop). Use for voice of customer, feature request analysis, support ticket synthesis, churn reason synthesis, and survey open-ends.
Help users synthesize and act on customer feedback. Use when someone is analyzing NPS responses, processing support tickets, reviewing user research, synthesizing feedback from multiple channels, or trying to identify patterns in customer input.
Synthesize user feedback from multiple channels and identify patterns to inform product decisions. Use when analyzing feedback, prioritizing feature requests, conducting NPS surveys, or understanding user sentiment. Covers feedback collection, categorization, prioritization frameworks, and closing the feedback loop.
Generate user demand research reports from real user feedback. Scrape and analyze feature requests, complaints, and questions from Reddit, X, and GitHub.
Use to convert raw customer feedback into compelling narratives, themes, and recommendations.
Collect, analyze, and act on customer feedback to improve your product and business. Use when building feedback systems, running customer interviews, analyzing feature requests, measuring satisfaction (NPS, CSAT), or closing the feedback loop. Covers feedback collection methods, interview techniques, analysis frameworks, and how to decide what feedback to act on. Trigger on "customer feedback", "collect feedback", "user research", "customer interviews", "NPS", "feature requests", "feedback system".
Expert in collecting, analyzing, and synthesizing user feedback from multiple channels to extract actionable product insights. Specializes in transforming qualitative feedback into quantitative pri...
Learn from PR outcomes. Analyzes accept/reject patterns and updates contribution lessons. Triggers: "pr retro", "learn from PR", "PR outcome", "why was PR rejected", "analyze PR feedback".
Synthesize customer feedback into thematic clusters when the user asks to analyze feedback, review VoC data, or understand customer sentiment