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Run: Forecast Accuracy Variance Review

Review forecasted contact volume and AHT against actuals, document variance, and capture the root cause and model update needed to improve future workforce f...

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Review Scope and Period Identification

The first date of the forecast period being evaluated.
The last date of the forecast period being evaluated.
Specify the contact queue, skill group, or channel (e.g., Inbound Voice – Tier 1, Chat – Billing, Email – General).
Identify the specific forecast version or the date the forecast was published/locked for this period.
Name and title of the WFM analyst or planner conducting this review.

Contact Volume Variance Analysis

Enter the total number of contacts predicted by the forecast model for this period.
Enter the actual number of contacts received as reported by the ACD or contact center platform.
Calculate and enter the volume variance percentage. Positive = over-forecast; Negative = under-forecast. Values outside ±10% require root cause documentation.
Confirm whether the volume variance falls within the ±10% acceptable range. If 'No', root cause analysis is mandatory in the next section.
Assess whether the intraday arrival pattern (e.g., morning peak, lunch trough) matched the forecasted pattern, even if total volume was close.

Average Handle Time (AHT) Variance Analysis

Enter the AHT (in seconds) used in the forecast model for this period.
Enter the actual AHT (in seconds) as reported by the ACD or WFM platform for this period.
Calculate and enter the AHT variance percentage. Positive = actual AHT longer than forecast; Negative = shorter. Values outside ±5% require root cause documentation.
Confirm whether the AHT variance falls within the ±5% acceptable range. If 'No', root cause analysis is mandatory.
Confirm whether the AHT components were individually reviewed to isolate which element drove the variance (e.g., ACW spike, increased hold time).

Root Cause Analysis

Select the primary driver of any material contact volume variance.
Select the primary driver of any material AHT variance.
Provide a concise written explanation of the identified root cause(s), supporting evidence reviewed (e.g., call recordings, system logs, campaign briefs), and any contributing factors.
Identify whether any manual overrides or exclusions were applied to the forecast without prior documentation, which may indicate a process gap.
Attach screenshots, reports, or data exports supporting the variance analysis (e.g., ACD interval report, WFM forecast export, campaign schedule).

Model Refinement and Corrective Actions

Indicate whether a change to the forecast model, parameters, or inputs is recommended as a result of this review.
Select all adjustment types that apply based on root cause findings.
Describe each corrective action, the responsible owner (name/role), and the target completion date.
Date by which the forecast model adjustment will be applied and validated.
Rate the overall forecast accuracy for this review period based on combined volume and AHT performance.

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