A cloud storage product manager built an internal tool called Otto that leverages LogRocket's MCP integration to automatically flag bugs and track feature adoption, aiming to surface issues before they escalate into support tickets. The surrounding content also touches on broader PM topics like AI fluency, prioritization frameworks, and human-in-the-loop AI oversight.

1m read timeFrom blog.logrocket.com
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Over 200k developers and product managers use LogRocket to create better digital experiencesCan you tell us about Otto, the internal product intelligence tool you built?Where does the LogRocket MCP come into play?How does Otto work?How do you use Otto to proactively find user issues?What about feature performance and adoption?What benefits have you and your team seen since implementing Otto?LogRocket generates product insights that lead to meaningful action
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