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usage-to-value-map

Method for translating product telemetry into ROI narratives and expansion

Stars
259
Source
gtmagents/gtm-agents
Updated
2026-04-03
Slug
gtmagents--gtm-agents--usage-to-value-map
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/b2b-saas/skills/usage-to-value-map/SKILL.md -o .claude/skills/usage-to-value-map.md

Drops the SKILL.md into .claude/skills/usage-to-value-map.md. Works with Claude Code, Cursor, and any agent that loads SKILL.md files from .claude/skills/.

Usage-to-Value Map Skill

When to Use

  • Preparing exec readouts showing how product usage ties to business outcomes.
  • Prioritizing adoption plays based on feature depth, collaboration, or workflow coverage.
  • Equipping sales/CS with quantified value proof for renewal/expansion cycles.

Framework

  1. Telemetry Layer – identify key events, feature usage, seat adoption, and integration data.
  2. Value Drivers – map telemetry to business KPIs (time saved, revenue uplift, compliance risk).
  3. Benchmarking – compare against cohort medians, champions, or best-in-class customers.
  4. Signal→Play Mapping – tie usage patterns to recommended plays (exec briefing, enablement, upsell).
  5. Narrative Template – structure story: context → usage signal → value proof → action.

Templates

  • Usage-to-value canvas (signal, KPI, benchmark, recommended play).
  • Dashboard outline with spark lines + annotations for exec consumption.
  • Email/slide snippet for sharing value proof with stakeholders.

Tips

  • Blend quantitative telemetry with qualitative proof (quotes, case studies) for credibility.
  • Update benchmarks quarterly to reflect product releases and customer mix.
  • Pair with build-land-adopt-expand-plan and prepare-board-readout for consistent storytelling.