From evaluation
Interprets explicit (thumbs up/down, feedback) and implicit (edits, regenerations, abandonment) user satisfaction signals. Guides signal collection, analysis, and dashboard design for product insights.
npx claudepluginhub owl-listener/ai-design-skills --plugin evaluationThis skill uses the workspace's default tool permissions.
Users rarely tell you directly whether they're satisfied. Most satisfaction signals are implicit — buried in behavior patterns that you have to design systems to capture and interpret.
Synthesizes user feedback from channels like in-app widgets, NPS surveys, support tickets, interviews to identify patterns, categorize issues, and prioritize product features.
Synthesizes Amplitude customer feedback into actionable themes like feature requests, bugs, pain points, and praise for roadmaps, sentiment analysis, and reports.
Analyzes user feedback data from reviews, surveys, CSVs, or PDFs to identify segments, sentiment scores, JTBD, satisfaction insights, and improvement recommendations.
Share bugs, ideas, or general feedback.
Users rarely tell you directly whether they're satisfied. Most satisfaction signals are implicit — buried in behavior patterns that you have to design systems to capture and interpret.
These are signals users give intentionally:
These are behavioral signals that indicate satisfaction or dissatisfaction: Positive signals:
Raw signals need interpretation: