About voice-of-customer
A marketing skill for designing Voice of Customer research and turning findings into prioritized journey actions. It covers research planning, signal analysis, insight presentation, and follow-through.
Key features
- 01Research program design
- 02Qualitative and quantitative channel selection
- 03Insight tagging by segment and impact
- 04Journey-mapped insight artifacts
- 05Insight-to-action tracking
Use cases
- 01Planning customer journey discovery
- 02Validating customer hypotheses
- 03Building continuous feedback loops
- 04Prioritizing journey improvements
Install
Copy the command and run it in a terminal.
$
npx skills add https:/After installing, type/voice-of-customerin Claude Code to confirm it loaded.
Details
From the project READMEVoice 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
- Program Design – define objectives, personas, touchpoints, sample size, and incentives.
- Channel Mix – select qualitative (interviews, live sessions) and quantitative (NPS, CES, product usage) data sources per stage.
- Signal Processing – tag insights by emotion, friction type, segment, and impact.
- Insight Packaging – create artifacts (quote boards, heatmaps, KPI overlays) mapped to journey maps.
- 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.
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