The use case: how Arena (LMArena) deploys PostHog
Arena, an AI model comparison platform, uses PostHog feature flags and experiments to test UI and product changes on subsets of users without biasing vote collection. It also uses product analytics, cohorts, error tracking and PostHog AI to monitor the funnel from visiting to chatting, voting and returning.
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Figures published in PostHog’s case study. They are not independently measured by usedby.
With 5M+ monthly users generating millions of comparisons each month, Arena's product team needs clear insights into how users engage, how UI tweaks affect votes, and where bias might creep in.
Through PostHog analytics I can see that users are spending, on average, 19 minutes on those pages.
In the customer’s words
I can't recommend PostHog enough, especially if you're just getting started out. It really helped us move fast and we've been really happy with it as we continue to scale.Other AI tools used by Arena (LMArena)
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- Nov 12, 2026
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"Everything we ship has an experiment," Matt explained, "often with multiple treatments to make sure the guardrails stay healthy."