By name: sentiment-analysis description: Use to interpret qualitative feedback, trends, and risks across community channels.
Community Sentiment Analysis Skill
When to Use
- Monitoring community tone during launches, incidents, or roadmap changes.
- Preparing executive updates that require member sentiment context.
- Prioritizing response or enablement efforts based on emerging themes.
Framework
- Signal Sources – forums, chat transcripts, surveys, social listening, support tickets.
- Tagging Schema – categorize by emotion, topic, product area, persona, and severity.
- Trend Analysis – track frequency over time, correlate with launches or incidents.
- Risk Scoring – define thresholds for escalation (negative volume, influencer involvement, compliance).
- Action Loop – translate findings into comms responses, content updates, or product feedback tasks.
Templates
- Sentiment tagging sheet (message → tags → severity → owner).
- Trend report layout with charts + narrative.
- Escalation matrix referencing response SLAs.
Tips
- Combine manual review with NLP dashboards to balance accuracy + scale.
- Capture representative quotes for exec storytelling.
- Pair with
measure-engagementcommand to provide recommendations alongside metrics.