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risk-scoring-framework

Method for calculating customer health/risk tiers using quantitative

Stars
259
Source
gtmagents/gtm-agents
Updated
2026-04-03
Slug
gtmagents--gtm-agents--risk-scoring-framework
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-success/skills/risk-scoring-framework/SKILL.md -o .claude/skills/risk-scoring-framework.md

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

Risk Scoring Framework Skill

When to Use

  • Building or tuning customer health scores that drive CS prioritization.
  • Aligning RevOps, CS, and product on what “healthy” vs “at-risk” looks like.
  • Auditing why certain segments churn or expand more than others.

Framework

  1. Signal Inventory – usage, sentiment, support, commercial, product feedback, exec engagement.
  2. Weighting & Decay – assign weights per signal, set freshness decay, define negative indicators.
  3. Tier Mapping – convert scores to tiers (green/yellow/red) with playbook hooks.
  4. Validation Loop – back-test against churn, expansion, and NPS outcomes.
  5. Governance – review cadence, owner accountability, and change management process.

Templates

  • Signal catalog spreadsheet with weights and owners.
  • Tier thresholds + play mapping sheet.
  • Validation report template comparing scores vs outcomes.

Tips

  • Combine structured data with CSM notes or sentiment highlights for context.
  • Keep tiers simple (3-4) to avoid confusion; use tags for nuance.
  • Pair with monitor-customer-health output to auto-highlight risks.