Evidence & methodology

How we evaluate results.

A useful result has a defined baseline, a clear measurement period, and data you can trace. Here is what our historical analysis shows and how we approach evaluating day-to-day impact.

A historical forecast comparison

An archived internal analysis compares monthly forecasts with recorded vaccine administration volumes for 41 pediatric offices. The project records identify the dataset as calendar-year 2024 and 2025 Vaccines for Children (VFC) administration data.

The baseline is a forecasting comparison. It does not represent the offices’ actual purchase orders or establish how individual teams made ordering decisions.

Results in the archived dataset

Internal historical analysis · 41 offices · CY2025 monthly volumes
MeasureArchived forecastPrior-year baseline
Mean monthly error (MAPE)15.5%18.7%
Offices with lower monthly error38 of 413 of 41

For each office-month, percentage error is the absolute difference between forecast and recorded volume, divided by recorded volume. We average across the 492 office-months. Each office-month has equal weight; all recorded volumes in this dataset are greater than zero. Results are rounded to one decimal place.

What “38 of 41” means

The archived forecasts had lower average monthly error than the prior-year baseline at 38 offices, or approximately 93% of this sample. This is the share of offices where the forecast performed better. It is not a 93% forecast-accuracy rate.

What these results establish

The saved forecast and actual-volume series support the arithmetic above. They describe an earlier internal analysis, not an independent validation of the current product.

Measuring operational impact

We work with each organization to define the participating offices, baseline, observation period, and data needed for the outcome being evaluated.

Missing counts, unrecorded deliveries, and changes in office participation can affect comparisons. Those limitations need to be visible in the result.

Discuss your evaluation

We can discuss the data inputs, measurement definitions, and evaluation plan appropriate for your organization.

Discuss an evaluation