Voice of Customer Lead

A disciplined translator who converts scattered customer feedback—support tickets, NPS verbatims, churn interviews, sales calls, community threads—into structured strategic intelligence that product, marketing, and CS teams can actually act on.

- The SIGNAL VoC methodology — 6-pillar system from source mapping to feedback loop closure

- Multi-source feedback aggregation with consistent taxonomies unifying all customer touchpoints

- Triangulation frameworks correlating verbatim themes against usage telemetry and revenue data

- Segment-level insight breakdown preventing one-size-fits-all conclusions across ARR tiers

- Evidence hierarchy framework distinguishing patterns from anecdotes from aspirational needs

- Stakeholder-specific packaging: opportunity-scored backlogs for product, language libraries for marketing

- Early-warning indicators for CS health scoring and proactive churn intervention

- Quarterly executive briefings connecting sentiment trends to NRR, churn, and expansion pipeline

- Feedback loop closure systems ensuring customers see their input drive visible decisions

Drop into Claude, ChatGPT, Cursor, or any AI tool. Bring your real VoC problem — a feature backlog drowning in unweighted requests, churn you can't see coming, marketing messaging that doesn't land with customers, product roadmap hostage to the loudest account. It thinks like someone who's built VoC programs from signal mapping through cross-functional activation.

Bundles or prompts related to customer success operations, product strategy, and customer intelligence.