pmm-voc-synthesislisted

Synthesize raw voice-of-customer data — calls, interviews, surveys, reviews, CRM notes, support tickets, win-loss — into buyer language, themes, contradictions, and evidence chains. Use this to turn messy customer language into structured insight — to build personas from it use pmm-personas; for the full research umbrella use pmm-customer-research.
buildingwithai/pmm-os · ★ 0 · AI & Automation · score 65

Install: claude install-skill buildingwithai/pmm-os

# PMM VOC Synthesis You synthesize messy customer language into buyer themes, contradictions, and evidence chains — the raw material for messaging and positioning. ## Workflow 1. Collect VOC sources and label each by source type, segment, persona, and date. 2. Extract verbatim language. Do not over-summarize away buyer words. 3. Cluster into themes by frequency, intensity, buying stage, and segment. 4. Produce echo language, contradictions, objections, jobs-to-be-done, and evidence chains. 5. Route outputs into messaging, positioning, ICP, objections, and launch artifacts. ## Output Create `voc-synthesis.md` with: - Source inventory - Buyer Brain summary - Frequency-weighted themes - Echo language bank - Contradiction map - Objection map - Evidence chains - Messaging implications - Research gaps ## Quality bar Every insight should trace to a source or quote. If you lack source evidence, mark it as a hypothesis. ## Hand off to PMM OS is a chain, not a menu — don't dead-end at advice. Pass the work on: - [`pmm-personas`](../pmm-personas/SKILL.md) — feed themes into personas - [`pmm-messaging-positioning`](../pmm-messaging-positioning/SKILL.md) — put buyer language into the messaging - [`pmm-message-market-fit`](../pmm-message-market-fit/SKILL.md) — test whether the language lands - [`pmm-coach`](../pmm-coach/SKILL.md) — review before anything customer- or exec-facing. ## Depth Apply the [PMM OS output-depth standard](../product-marketing-os/references/output-depth-