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customer-insights

Use when consolidating product usage, health, and sentiment signals for

Stars
259
Source
gtmagents/gtm-agents
Updated
2026-04-03
Slug
gtmagents--gtm-agents--customer-insights
View on GitHubRaw SKILL.md

// install — copy + paste into any project

mkdir -p .claude/skills && curl -fsSL https://raw.githubusercontent.com/gtmagents/gtm-agents/HEAD/plugins/customer-marketing/skills/customer-insights/SKILL.md -o .claude/skills/customer-insights.md

Drops the SKILL.md into .claude/skills/customer-insights.md. Works with Claude Code, Cursor, and any agent that loads SKILL.md files from .claude/skills/.

Customer Insights & Telemetry Skill

When to Use

  • Building segment-specific lifecycle journeys.
  • Prioritizing accounts for adoption help, expansion offers, or advocacy invites.
  • Diagnosing churn/retention risks and surfacing insights to CS + product.

Framework

  1. Signals Stack – product usage, engagement, sentiment, commercial, health composite.
  2. Data Plumbing – define sources (warehouse, product analytics, CS tools) and refresh cadence.
  3. Normalization – align account/user IDs, tag personas/verticals.
  4. Insight Delivery – dashboards + alerts to lifecycle, CS, product teams.
  5. Closed Loop – track outcomes (expansion booked, churn prevented, advocacy activated).

Templates

  • Health score schema (dimensions, weight, threshold, owner).
  • Insight brief (observation, impact, recommended play, owner, due date).
  • Data dictionary for lifecycle dashboards.

Tips

  • Keep manual notes from CSMs in sync with telemetry to avoid blind spots.
  • Tag signals by persona/vertical for more precise plays.
  • Automate distribution via Slack/email alerts tied to triggers.