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Generalgtmagents

voice-of-customer

Use to design, run, and synthesize customer feedback programs tied to

Stars
259
Source
gtmagents/gtm-agents
Updated
2026-04-03
Slug
gtmagents--gtm-agents--voice-of-customer
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-journey-orchestration/skills/voice-of-customer/SKILL.md -o .claude/skills/voice-of-customer.md

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

Voice of Customer System Skill

When to Use

  • Planning journey discovery projects or validating hypotheses.
  • Building continuous feedback loops (surveys, interviews, community, support mining).
  • Translating VOC findings into prioritized journey actions.

Framework

  1. Program Design – define objectives, personas, touchpoints, sample size, and incentives.
  2. Channel Mix – select qualitative (interviews, live sessions) and quantitative (NPS, CES, product usage) data sources per stage.
  3. Signal Processing – tag insights by emotion, friction type, segment, and impact.
  4. Insight Packaging – create artifacts (quote boards, heatmaps, KPI overlays) mapped to journey maps.
  5. Action Loop – pair each insight with a recommended experiment, owner, and expected metric lift.

Templates

  • VOC research brief (question, method, sample, timeline, owner).
  • Insight tagging spreadsheet with stage/persona labels.
  • Signal-to-action tracker (insight → priority → owner → status).

Tips

  • Rotate participants quarterly to avoid bias; maintain consent logs.
  • Combine VOC with telemetry to validate scale of issues.
  • Share short audio/video snippets to humanize data for stakeholders.