How a senior PM uses LogRocket’s MCP to catch bugs before they become support tickets

A senior software product manager created Otto, an internal product intelligence platform designed to unify signals from scattered sources such as warehouses, databases, CRMs, applications, and LogRocket. Otto uses the LogRocket MCP to query session replays, issue data, metrics, and AI-generated insights through scheduled natural-language prompts, producing weekly findings on bugs, support concerns, feature adoption, and user drop-off. In one case, Otto detected an unusual rise in rage clicks and automatically created a Jira ticket containing session recordings, enabling the team to identify and fix an intermittent technical error before support tickets were submitted. It also helped uncover a poorly loading step in a trial conversion flow, allowing the team to address abandonment and improve conversion performance. According to the product manager, automating detection, triage, and investigation reduced work that previously took days to hours and gave product, engineering, support, sales operations, and other teams a shared source of actionable user-experience data.

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