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ClosedLoop AI organizes customer evidence into three categories, each answering a different question:
TypeWhat it answersSource
Insights”What are customers asking for?”Product feedback extracted from conversations — bugs, feature requests, pain points, improvements
Context”Why are they asking?”Strategic intelligence — satisfaction, churn signals, competitor mentions, buying behavior, decision criteria
Behavior”What are they actually doing?”Product usage data — feature adoption, engagement patterns, drop-off points
Together, these three types give you the full picture: what customers say, why they say it, and whether their actions match their words.

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Insights

An insight is a single piece of product feedback extracted from a customer conversation, survey, or support ticket. Each insight is one specific thing a customer said — traced to a verbatim quote, linked to their company in your CRM, and scored by business impact. What makes insights useful:
  • Verbatim quotes — the exact words the customer used, not a summary or interpretation
  • Business impact — each insight is flagged if it blocks a deal or threatens retention, with the affected revenue visible
  • Pain + workaround + use case — not just “what’s wrong” but “what they do instead” and “what they’re trying to achieve”
  • Auto-classified — severity, emotion, and product area are assigned by the AI, not manually tagged
A typical 30-minute sales call produces 5-15 insights. Multi-topic conversations produce one insight per topic — each is atomic and independently searchable.

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Context (Strategic Intelligence)

Context captures the business dynamics behind the feedback — things like:
  • Satisfaction signals — how happy or frustrated a customer is overall
  • Churn indicators — why a customer is considering leaving, with urgency level (immediate, considering, evaluating)
  • Competitor mentions — which competitors come up, what they do better or worse
  • Decision criteria — what drives the buying decision
  • Win/loss reasons — why customers chose you or didn’t
There are 20 intelligence types covering the full customer journey. Each traces back to a specific conversation and quote.

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Behavior (Product Usage)

Behavior data shows what customers actually do in your product — feature adoption, session patterns, drop-off points. This is the “say vs. do” layer: customers may say they love a feature but never use it, or complain about something they use daily.
Behavior data requires connecting a product analytics platform (Amplitude, Mixpanel, or similar). Without it, you still have insights and context — behavior adds the third dimension.

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How they work together

The real power is in the combination. An opportunity that clusters 50 insights from 30 customers, linked to $1.2M in deal value, with 3 churn signals and accelerating velocity — that’s not a feature request, that’s a business case. ClosedLoop AI builds this picture automatically from all three evidence types.