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340 of the 1,210 users who opened the inbox asked chat instead — the control was rendered and on screen in every one of those sessions.
The detour costs 15 seconds against under a second for the control — and 20% of times cancel is hit before completion.
They are not new users — 71% had been active for over a month, so this is unfamiliarity with the layout rather than with the product.
Chat answers correctly every time — the request succeeds, which is why nothing in your error rates or support volume moves.
What to do about it
Put the control where the eye already is
Users open chat from the lower right and scan left. The control sits top-left, outside that path. Mirror it into the list header.
Prototype ›Let chat teach the control
When chat handles something the UI already does, have it name the control in the reply. The detour then costs 15 seconds once instead of every time.
Explore fix ›Otis analyzes users’ interactions with your AI product across every surface — UI, chat, agentic workflows, MCP and CLIs. Otis discovers what your customers need, both human and agent.
Otis gives you stories, not dashboards. It suggests actions to fix issues, improve your agent, simplify your UI, and drive user value. You get to focus on decision-making, not data-gathering.
Otis watches every PR and experiment. It sees what works, and what doesn’t. This learning is private to your product, and compounds Otis’ understanding of your customers.
Learn more about Otis with one of our founding team.