Product intelligence

The software category that aggregates customer signal across every channel, synthesizes it into themes, and surfaces what to build next — the category Kiln sits in.

Product intelligence is the category of tools that sit between raw customer feedback and the product team's roadmap. Their job is the bit no human can scale: ingesting thousands of signals from across Intercom, Zendesk, Gong, sales notes, NPS verbatims, and meeting transcripts; clustering them into themes; and surfacing the dozen patterns that matter for the next quarter's decisions.

The category is distinct from its neighbors. Product analytics (Amplitude, Mixpanel, Heap) tracks behavior — what users do, not what they think or say. Feedback portals (Canny, an older Productboard) collect requests in one channel but don't synthesize across channels. Survey tools (Typeform, SurveyMonkey) generate input but don't process it. Product intelligence is specifically about turning qualitative input — at scale and across sources — into themes a team can act on.

The category is also new enough that the name isn't fully settled. You'll see "customer insight platform," "voice of customer software," and "feedback synthesis" used interchangeably. They all describe the same shape of tool: ingest qualitative input from everywhere, cluster and interpret, route what matters to the team that can act on it.