05Work · Conversations into consumer insight
Support GoldmineSupport hears why people wanted to buy but could not, and hears the same question return in different words. When a conversation is reduced to “closed,” those signals—closer to lived reality than most surveys—sink with it.
The problem is not too little conversation, but no trustworthy route from volume to a checkable conclusion. Manual samples miss small persistent needs; an elegant quote without its ticket trail cannot survive a serious question.
AI tags the full stream with 260+ category, intent, blocker, and related labels. The result becomes a four-layer monthly report: operations sees movement, strategy sees opportunity, de-identified voice preserves tone, and actions land with clear owners.
260+ labels across the streamThe taxonomy covers category, intent, and blockers across the full conversation stream rather than a small manual sample.
Four layers with ticket trailsOperations, strategy, customer voice, and action retain a traceable ticket basis for quotations and formal conclusions.
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Support conversations can become structured consumer insight.
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Near-purchases and repeated questions have a stable route into decisions.
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Customer voice is de-identified, while sensitive refund and dispute data remains private.
Labels are not answers. The continuing work is testing which signals deserve changes to assortment, pages, or service—and which are only a passing echo.
Continue the journey