Pendo tracks feature usage and guides users in-app. Mimir analyzes all feedback and recommends what to build.
Pendo combines product analytics with in-app engagement tools — feature tagging, user guides, tooltips, and NPS surveys. It's designed to help you understand how users interact with your product and guide them to get more value from it.
Mimir solves a different problem entirely. Rather than optimizing the experience of what you've already built, Mimir helps you figure out what to build next by analyzing customer interviews, feedback, and support data. Pendo looks inward at your product. Mimir looks outward at your customers' needs.
Pendo is excellent for understanding feature adoption. Tag a feature, see who uses it, segment by plan or role, identify power users vs stragglers. The in-app guides let you nudge users toward features they're missing without waiting for a product update.
The NPS and in-app survey capabilities also create a lightweight feedback loop directly in your product. For understanding how users feel about what exists, Pendo provides rich quantitative and survey data that's hard to get elsewhere.
Pendo's feedback tends to be structured — NPS scores, survey responses, feature usage counts. This is valuable but inherently limited to what you think to ask about and what users interact with in your product.
Mimir processes unstructured feedback — the messy, rich signal from interviews, Slack threads, and support conversations. These sources surface needs customers didn't know how to articulate as feature requests and problems that don't show up in usage data. The combination of Pendo's behavioral data and Mimir's qualitative synthesis gives you the full picture.
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