Eval Studio: Product Brief

Making LangSmith evals accessible to the rest of the team

The Problem

LangSmith has strong eval infrastructure, but it's only usable by engineers. PMs and QA can't run or review evals without filing a ticket. Fewer evals get run, safety gaps slip through, and ship decisions stall. Competitors like Confident AI are winning deals by making evals accessible to non-technical roles.

The Bet

If non-technical stakeholders can create, run, and review evals without code, we'll see more eval coverage, faster ship decisions, and fewer safety gaps. The primitives already exist. We're building a UI layer, not new infrastructure.

Three Flows

  • Create an eval - Pick a dataset, choose two versions, select criteria (accuracy, safety, tone), hit run. Under a minute, no code.
  • Review results - Pass rate, version recommendation, comparison chart, failure filters. Full picture in 10 seconds.
  • Drill into failures - Side-by-side outputs, judge reasoning, flag for eng or override with a tagged comment.

Success Metrics

40%

of teams have a non-developer run an eval (6 mo)

2x

more eval runs per project

50%

of runs include feedback from non-developers

30%

faster time from new version to ship decision

Where this is wrong

If LangSmith's customer base is all-engineering teams with no PM/QA involvement in AI quality, this solves a problem that doesn't exist at scale. I'd validate with 5-10 customer interviews in week one.