Skip to content

How can we measure AI engineering without monitoring individual employees?

Short answer

Set the rules before collecting anything: per-person consent, a minimum cohort size, no individual view for managers, and no content collected. Ascenda is built that way. Organisations see aggregates of at least ten people, and Flow sends counts and timings, never prompts, code or model outputs.

Why it matters

Engineers will not use a tool they think is watching them, and data from people who feel watched isn't worth much. If the measurement can be turned on an individual, it changes the behaviour it's meant to measure.

How Ascenda helps

  • Consent per person: each engineer answers one question, for the Report or the Study, and can withdraw separately at any time.
  • Floor of ten: any figure below ten people is suppressed, and no one person can carry more than half of a figure.
  • No individual view: there is no manager view of any individual, ever.
  • Counts, not content: Flow reads AI tools' local history on each engineer's Mac. What it sends is counts, timings and tool events — never prompts, code or model outputs. Journals and reflections stay on the Mac unless the engineer turns on sync.
  • Opt-in: today, every jurisdiction is opt-in only.

The full detail for a procurement or security review is on Enterprise readiness and Trust.

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.