Your WFM Model Health Results

What Your Score Means

Your workforce model is partially aligned to reality, but gaps between assumptions and actual behavior are creating friction.

You likely have solid fundamentals in place, but accuracy gains have plateaued. Variance is explainable, but still too frequent. Confidence in the model varies by leader, workload, or time of year.

This is the stage where cost leakage quietly accelerates if assumptions are not deliberately recalibrated.

What We Commonly See at This Stage

• Forecast accuracy tracked but not consistently improving
• Demand drivers reviewed reactively rather than systematically
• Shrinkage categories defined but not regularly recalibrated
• Staffing responses guided by experience rather than documented rules

Primary Risks

• Cost Risk: Budget variance absorbed rather than eliminated
• Service Risk: Performance degrades during spikes or change
• Scalability Risk: Planning effort increases faster than complexity

Top Improvement Priorities

1. Segment forecasts by claim type and complexity
2. Feed post-spike learnings back into the model
3. Formalize variance response rules

Common Pitfall

Assuming the model is “good enough” because outcomes are acceptable, while hidden variance compounds over time.