home / skills / gtmagents / gtm-agents / sentiment-feedback-loop
This skill enriches health scores with qualitative feedback from surveys and notes, surfacing insights and actions for product, CS, and exec reviews.
npx playbooks add skill gtmagents/gtm-agents --skill sentiment-feedback-loopReview the files below or copy the command above to add this skill to your agents.
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name: sentiment-feedback-loop
description: Process for capturing qualitative feedback and injecting it into CS playbooks.
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# Sentiment Feedback Loop Skill
## When to Use
- Enriching health scores with qualitative insights from surveys, CSM notes, and communities.
- Building voice-of-customer summaries for exec updates or escalations.
- Prioritizing product/CS actions based on sentiment trends.
## Framework
1. **Source Intake** – NPS/CSAT, support tickets, call notes, community threads, surveys.
2. **Tagging & Themes** – apply taxonomy for product area, sentiment, urgency, persona.
3. **Routing Rules** – send critical feedback to owners (product, eng, CS, exec sponsors).
4. **Insight Packaging** – compile trend summaries, quotes, and recommended actions.
5. **Closed-Loop Tracking** – log actions taken, status, and customer follow-up.
## Templates
- Sentiment tagging spreadsheet or Notion template.
- Weekly VOC digest format for leadership.
- Follow-up tracker for commitments back to customers.
## Tips
- Automate ingestion where possible but maintain human review for nuance.
- Highlight positive sentiment for advocacy/reference programs too.
- Pair with `monitor-customer-health` and `run-escalation-playbook` for context.
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This skill captures qualitative customer feedback across channels and injects it into customer success playbooks to improve health scoring, escalation, and product prioritization. It formalizes intake, tagging, routing, and closed-loop tracking so feedback becomes actionable and traceable. Use it to turn survey responses, support notes, and community threads into prioritized work items and leadership insights.
The skill ingests feedback from NPS/CSAT, support tickets, call notes, surveys, and community posts, then applies a taxonomy to tag product area, sentiment, urgency, and persona. Routing rules forward critical items to owners (product, engineering, CS, executive sponsors) and generate packaged insights like trend summaries, representative quotes, and recommended actions. Finally, it logs remediation steps and customer follow-ups to close the loop and measure impact.
Which feedback sources should I prioritize?
Start with NPS/CSAT, support tickets, and CSM call notes, then add community threads and surveys as capacity allows.
How do I avoid alert fatigue?
Tune routing thresholds, require human triage for medium-severity items, and only auto-forward high-severity or high-volume signals.