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Measuring Adoption

Outcomes-first measurement: adoption, friction, and impact (tickets, lead time, reliability) to steer Platform Engineering.

Platform Engineering fails when success is defined as “we built a platform”.

Argy’s view is outcomes-first:

  • Are teams using the golden paths?
  • Is the platform reducing cognitive load?
  • Are we reducing tickets and time-to-provision?

What to measure

Adoption

  • % of products using a given golden path
  • adoption per team/domain
  • adoption per version

Friction

  • where requests get stuck (approvals, missing parameters)
  • repeated support questions

Outcomes

Pick a small set of measurable outcomes:

  • provisioning time
  • Ops/SecOps tickets
  • lead time / deployment frequency
  • reliability signals (incidents, SLO attainment)
  • AI governance signals (blocked requests, quota usage, cost / 1K tokens)

How to use those measurements

Measurements should drive:

  • module roadmap decisions,
  • deprecation and upgrades,
  • governance rollout.

Next steps