Analysis / Sales pipeline and forecasting
Measure sales forecast accuracy over time
Use Proforma to measure sales forecast accuracy over time. Produce forecast error and bias table and lead-time accuracy comparison from your business data.
Sales leader · Revenue operations manager
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Your starting prompt.
Measure the accuracy of our sales forecasts for [completed periods]. Compare each snapshot with final bookings at the same lead time, calculating signed bias, absolute error and error as a share of actuals where defined. Break results out by owner and forecast category. Show misses driven by large deals separately, and preserve zero-booking periods without dividing by zero or silently excluding them.
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Method and review
Keep the assumptions visible.
Use a dated pipeline snapshot and stage history. State the target period and probability method, and distinguish expected pipeline from committed revenue.
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Compare snapshots with equal lead times and consistent booking definitions.
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Work with permitted files or queryable data. Verify the result against the original records.
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