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

1. Signal Sources – forums, chat transcripts, surveys, social listening, support tickets.
2. Tagging Schema – categorize by emotion, topic, product area, persona, and severity.
3. Trend Analysis – track frequency over time, correlate with launches or incidents.
4. Risk Scoring – define thresholds for escalation (negative volume, influencer involvement, compliance).
5. 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-engagement command to provide recommendations alongside metrics.