home / skills / gtmagents / gtm-agents / customer-trust-dashboard
This skill helps you monitor customer trust, sentiment, and regulator-ready KPIs through a modular dashboard and action registry.
npx playbooks add skill gtmagents/gtm-agents --skill customer-trust-dashboardReview the files below or copy the command above to add this skill to your agents.
---
name: customer-trust-dashboard
description: Reporting framework for monitoring trust, sentiment, and regulator-facing
KPIs.
---
# Customer Trust Dashboard Skill
## When to Use
- Tracking impact of communications, outages, or policy changes on customer trust.
- Preparing exec/regulator updates on sentiment, complaints, and remediation status.
- Coordinating GTM, support, and risk teams on follow-up actions.
## Framework
1. **KPI Stack** – sentiment, NPS, complaint volume, escalation stage, resolution SLA, refund exposure.
2. **Segmentation** – audience (retail, SMB, enterprise), geography, channel, product.
3. **Signal Sources** – support tickets, surveys, social monitoring, regulator portals, payments data.
4. **Alerting Rules** – thresholds, triggers, routing to comms/legal/risk teams.
5. **Action Register** – log remediation tasks, owners, due dates, and status for transparency.
## Templates
- Dashboard layout with hero metrics, drill-down tabs, and commentary sections.
- Incident log sheet tied to metrics for root-cause tracking.
- Weekly trust report template for leadership + regulator sharing.
## Tips
- Blend quantitative trends with qualitative excerpts for context.
- Keep a “regulator ready” version with evidence attachments and approvals.
- Pair with `manage-trust-communications` and `review-financial-campaign` outputs.
---
This skill provides a production-ready reporting framework for monitoring customer trust, sentiment, and regulator-facing KPIs. It centralizes key signals, alerting rules, and an action register so teams can detect trust shifts and coordinate remediation. The design supports executive and regulator reporting with evidence attachments and approvals.
The skill ingests signals from support tickets, surveys, social monitoring, regulator portals, and payments data to compute a KPI stack (sentiment, NPS, complaint volume, escalation stage, resolution SLA, refund exposure). It applies segmentation by audience, geography, channel, and product, runs configurable alerting rules, and surfaces hero metrics plus drill-down tabs. Incidents and remediation actions are logged in an action register, and templated report outputs produce regulator-ready summaries with evidence links.
What data sources should I prioritize?
Start with support tickets, survey responses, payments/refund data, and social monitoring; add regulator portal feeds as needed for compliance reporting.
How do I keep a regulator-ready version current?
Maintain a separate report view with linked evidence, sign-off fields, and a short audit trail; update on every major incident and on a regular cadence for scheduled submissions.