Rollout Risk Checklist — Is Your Frontline Deployment at Risk?

Your Risk Score

Tick the items that are in place to see your score

of 10

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Before Go-Live

The decisions made before the platform goes live determine most of what happens after.

We have done structured go-see visits at a representative sample of sites and mapped the actual frontline workflow before designing communications.

If not: deployment will be designed around a version of the frontline that does not exist.

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We have defined adoption metrics (task completion, return frequency, feature usage) before go-live, not just activation targets.

If not: activation will be reported as success. Adoption will quietly plateau.

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Go-Live and First 30 Days

The first 30 days set the adoption trajectory for the rest of the programme.

Frontline team members have a direct activation pathway that does not depend entirely on the store manager to deliver.

If not: one stretched or absent manager creates a complete adoption gap at that site.

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Usage data is being reviewed weekly by the programme team in the first 30 days. Someone is named as responsible for acting on what it shows.

If not: the first sign of trouble will be a benefits report six months too late to fix cheaply.

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30 to 90 Days

This is where most programmes quietly stall. Activation was reported as success. Engagement has already started to decay.

There is a structured 90-day post-activation engagement plan with an active feedback loop from the frontline to the programme team, and someone owns acting on what it shows.

If not: roughly 70% of learned behaviour fades within six weeks, and issues stop being reported because nothing changes.

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Sponsor-level governance is still active and meeting on a defined cadence. Decisions are being made and documented. The decision log is live, not static.

If not: governance that stopped at go-live leaves the programme without an escalation route when one is most needed.

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Process and Compliance Integrity

Technology on top of a broken process does not fix the process. It hides it for longer.

The processes being digitised were verified at the frontline before deployment. We know what is actually happening at site level, not just what head office expects.

If not: you are digitising an assumed process, not the real one. The system will not fit the job.

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Completion data from the system is being spot-checked against operational reality. Someone is verifying that what the dashboard shows is what is actually happening.

If not: task completion in the system and task completion in practice are not the same thing.

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Pace and Readiness

Deployment pace that outstrips frontline readiness is the most preventable cause of adoption failure.

The deployment timeline was built around frontline readiness, not commercial launch pressure alone. There is a named readiness gate before each wave goes live.

If not: speed of deployment is not the same as speed of value realisation.

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Adoption has stabilised to an acceptable level in the first wave before the next wave has opened. We are not expanding on top of an unresolved adoption problem.

If not: you are scaling a failure, not a success.

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0 to 3

High Risk

Multiple critical gaps. Your programme is likely already experiencing adoption issues or will within 60 days.

4 to 7

Moderate Risk

Some foundations in place but significant gaps remain. Left unaddressed, these will compound.

8 to 10

Lower Risk

Strong foundations. Review the unchecked items. They are still live exposure points.

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Is your frontline rollout at risk?

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