Mimir vs Amplitude

Amplitude and Mimir are fundamentally different tools that answer different questions. Amplitude answers 'what are users doing?' with behavioral data — funnels, retention curves, feature adoption metrics. Mimir answers 'what should we build next?' by synthesizing qualitative feedback into ranked recommendations.

These are complementary questions. Amplitude might show you that 40% of users drop off at step 3 of your onboarding flow. But it won't tell you why, or what to do about it. That context lives in customer interviews and support tickets — exactly what Mimir analyzes.

Amplitude is outstanding at product analytics. Its cohort analysis, funnel visualization, and retention tracking give teams the quantitative foundation they need for data-driven decisions. For understanding user behavior patterns at scale, it's hard to beat.

Amplitude's newer AI features also make analytics more accessible — you can ask natural language questions about your data instead of building complex queries. This lowers the barrier for PMs who aren't data analysts.

The strongest product teams combine quantitative and qualitative signals. Amplitude tells you what's happening. Customer interviews tell you why. Mimir synthesizes the why into actionable recommendations.

You can even paste Amplitude findings as a source in Mimir alongside interview transcripts. Mimir will cross-reference the behavioral data with qualitative feedback to generate recommendations grounded in both what users do and what they say. That's a richer picture than either tool provides alone.