2 min lesson
The metric that proves it works
Answer this: "A candidate describes zero-touch provisioning as 'we image the laptops ahead of time and ship them pre-configured.' Why is that not actually zero-touch and what's the better answer?"
Step 1 of 2
The metric that proves it worksday-one time-to-productive
- Day-one time-to-productive
- Minutes from first boot to having apps + access, not hours or a help-desk ticket
- IT touch count
- Zero hands-on the physical machine for a standard hire
- Drift on day one
- Device is compliant the moment it's handed over, not after a follow-up pass
- Failure mode
- A broken enrollment is visible in the console, not discovered by a confused new hire
This is the single most likely scenario prompt for the systems-design screen: "Design onboarding so a new hire is productive on day one." Answer with the flow above, but anchor it on the identity tie-in and the time-to-productive metric. Then name one real failure mode - a device bought outside ABM that never auto-enrolls - and how you'd catch it. Showing you've thought about the gap, not just the happy path, is the signal.
"The laptop is bound to us before it ships. Bought through ABM or Autopilot, it force-enrolls to MDM on first boot, pulls its blueprint and installs the security baseline and role apps before anyone reaches the desktop. The hire signs in once through Okta, and because that one IdP identity drives both the device record and the group-based SaaS grants, access provisions in the same event. I measure the whole thing as day-one time-to-productive: minutes, not a help-desk ticket. The failure mode I'd flag is a machine bought outside ABM - it never auto-enrolls, so I catch it in the console instead of letting a confused new hire find it."