Skip to content
Clarity Aotearoa

Case study · Public sector

Predictive signals embedded in frontline operations

Moved a regional services team from monthly retrospectives to weekly forward signals, reducing reactive escalations by a third.

Reduction in reactive escalations
32%
Forecast horizon
6 weeks
Frontline users onboarded
180
Time to first signal
11 weeks

The challenge

The team was good at explaining what had already gone wrong. They wanted to know what was about to.

What we did

We built a forecasting layer on top of their operational data warehouse, surfacing weekly demand signals directly inside the case management system the frontline already used. No new dashboard, no new login — the prediction appeared next to the workload, where the decision actually got made.

Outcome

Reactive escalations dropped by a third within the first quarter. The team kept the forecast running and the embedded analytics engineer we coached now owns the model end-to-end.

Begin a conversation

Have an evidence problem worth solving?

We’d rather start with a thirty-minute working session than a sales pitch. Tell us what you’re trying to decide.