Gong Integration: Extract Customer Insights from Calls
Connect Gong to pmkit to automatically extract pain points, feature requests, and competitive mentions from sales and CS calls.
Mining Customer Calls for Product Signal
A PM wants to understand what customers are really saying in sales calls. They run Gong analysis.
How it works:
- 1Connect Gong via OAuth in pmkit settings
- 2Configure which call types to analyze (sales, CS, onboarding)
- 3Run the VoC Clustering job with Gong as a source
- 4pmkit extracts pain points, feature requests, and competitor mentions
- 5Review clustered themes with supporting call excerpts
Product decisions are grounded in actual customer conversations. Competitor mentions are tracked automatically. Nothing is lost in translation from sales.
How pmkit handles Gong integration
Pre-Built Job Types
- • Daily Brief: Synthesize overnight activity from Slack, Jira, support, and community
- • Meeting Prep: Prepare for customer meetings with context from calls and tickets
- • VoC Clustering: Cluster feedback into actionable themes with evidence
- • Competitor Research: Track competitor product changes and releases
- • Roadmap Alignment: Generate alignment memos with options and trade-offs
- • PRD Draft: Draft PRDs grounded in customer evidence
- • Sprint Review: Generate sprint summaries with completed work and release notes
Draft-Only Pattern
pmkit never writes directly to external systems. All outputs are proposals that you review, edit, and approve before anything is published. This gives you AI autonomy with human control.
Enterprise Governance
- • Role-based access control (RBAC)
- • Comprehensive audit logging
- • SSO integration (SAML/OIDC)
- • Every insight cites its source
Try Gong integration in the demo
See it in action with a complete demo enterprise dataset. No signup required.
Launch DemoFrequently Asked Questions
Related Resources
Gong to Product Insights: Extract Customer Signal
Extract pain points, feature requests, and competitive mentions from Gong call transcripts automatically.
Voice of Customer Clustering: AI Theme Analysis
Cluster customer feedback from support, community, and calls into actionable themes with evidence and quotes.