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, unclear ownership)
- repeated support questions
Outcomes
Pick a small set of measurable outcomes:
- provisioning time (hours → minutes)
- Ops/SecOps tickets
- lead time / deployment frequency
- reliability signals (incidents, SLO attainment)
How to use those measurements
Measurements should drive:
- module roadmap decisions,
- deprecation and upgrades,
- governance rollout.
Next steps
- See concrete scenarios: Use cases
- Learn why this matters: Why Platform Engineering