Voice of Customer
Voice of Customer Clustering: AI Theme Analysis
Cluster customer feedback from support, community, and calls into actionable themes with evidence and quotes.
voice of customer clustering
VoC AI
customer feedback analysis
theme clustering
See patterns across all feedback channels
Quantify which issues matter most
Make decisions based on data, not opinions
Predict churn before it happens
Real Example
Quarterly VoC Report in 10 Minutes
Before the quarterly planning session, the PM needs a comprehensive view of customer feedback. The VoC Clustering job analyzes 3 months of data.
How it works:
- 1Analyzes 156 support tickets from Zendesk
- 2Processes 89 Gong call transcripts for pain points and requests
- 3Reviews 234 community posts and their engagement
- 4Clusters feedback into 7 major themes with mention counts
- 5Identifies trending topics (up/down vs. last quarter)
Outcome
The planning session starts with data, not opinions. The team aligns on priorities based on actual customer pain points, with quotes they can reference.
Is this right for you?
If you answer "yes" to any of these, voice of customer clustering can help.
Is customer feedback scattered across multiple tools?
Do you struggle to identify the most common pain points?
Are product decisions based on the loudest voices rather than patterns?
Do you wish you could quantify which issues matter most?
Is your team surprised by churn that "came out of nowhere"?
The pmkit Solution
How pmkit handles voice of customer clustering
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 Intel: Track competitor changes with strategic implications
- • Roadmap Alignment: Generate alignment memos with options and trade-offs
- • PRD Draft: Draft PRDs grounded in customer evidence
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 voice of customer clustering in the demo
See it in action with a complete mock enterprise dataset. No signup required.
Launch Demo