Together, these three types give you the full picture: what customers say, why they say it, and whether their actions match their words.
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
Context (Strategic Intelligence)
Context captures the business dynamics behind the feedback, things like:- Satisfaction: 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
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.