An LLM Judge That Watches for the Sighs: Phoenix-Evals Ships a 'User Friction' Evaluator

A new evaluator scores the implicit signals users send when a product isn't working — the frustration you can feel but can't easily measure.

Most evals grade whether a model produced the right answer. The new "user_friction" evaluator shipped in phoenix-evals 3.2.0 grades something harder: whether the user was quietly struggling. As @ehutt_ described it, the evaluator is an LLM judge that watches for the implicit feedback signals users send when something isn't working — the rephrased questions, the abandoned threads, the mounting exasperation that never becomes an explicit complaint.

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