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How do I know whether rolling out Claude Code (or another AI agent) helped my team?

Short answer

Decide what you expect to change, how you'll measure it, and over what window, before the rollout. Freeze a baseline, then compare after. Without that, any improvement can be credited to the tool and any problem blamed on something else. Ascenda runs this as a declared change with a readout.

Why it matters

AI rollouts get judged on anecdotes and licence counts. Teams that feel faster may be carrying more supervision, and teams that look slower may be in a learning dip. A readout you committed to in advance is harder to argue with.

How Ascenda helps

  1. Declare: the organisation states the change, the measure, the baseline and the window before acting.
  2. Freeze: the baseline is fixed so it can't drift to fit the result.
  3. Read out: the result is reported whichever way it goes, including when the difference is too small to tell.

A simple before-and-after shows what changed. If the rollout is staggered across groups, the readout can also say whether the change caused it; see testing a model or vendor switch.

Because Flow imports existing history, the baseline can cover weeks before the rollout started.

What else you'd need

Your delivery figures and what your engineers tell you in person. Both can sit beside the readout.

Next step

Start with a 30-day Report

The Report works from your engineers' imported history for a cohort of ten or more, with no integration, and ends in a written deliverable. The 90-day Study is the next stage and runs live.