Start with the decision horizon
Ask which staffing, capacity, service, inventory, or risk decision could change—and how much notice the owner needs. A technically accurate forecast that arrives outside the decision window has little operating value.
Define the full forecast workflow
- Approved input sources and data-quality checks
- Forecast owner, cadence, and horizon
- Uncertainty or confidence communication
- Thresholds that trigger review rather than automatic action
- Response options, approval, and escalation
- Actual outcomes, overrides, and monitoring
Measure usefulness, not only model error
Model quality matters, but leaders should also examine whether the forecast arrived in time, was understood, changed an action, reduced surprise, or created unnecessary intervention. Monitoring should identify drift, missing data, and changing operating conditions.
Forecast-readiness questions
- Which decision should the forecast improve?
- What lead time is operationally useful?
- Who interprets uncertainty and owns the response?
- What action is available at each threshold?
- What safe fallback applies when inputs or the forecast are unavailable?
How Saranor applies this
A focused assessment can map the decision, workflow, inputs, readiness, and response path. An Operational Intelligence Pilot can test a KPI model, forecast or risk signal, operating view, executive readout, and success criteria without implying autonomous decision-making.