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Understanding Scorecard Data and Accuracy

When scorecard metrics seem off, here are the commons reasons why those numbers may be different from what you would expect them to be

If your Applause Scorecards data doesn’t exactly match what you see in your CRM or field service system, there’s usually a clear explanation. Because Applause captures performance data at specific points in time and uses standardized logic, certain workflows or system changes can create differences.

How Applause Collects Data

Applause displays the data that was ingested from your CRM at the time the service was completed.

This means:

  • Changes made after a job is completed and already pulled into Applause will not update in scorecards

  • We only ingest completed jobs associated with customers

  • If your team uses workflows outside standard service completion processes, that data may not be reflected

Common post-completion changes that cause mismatches:

  • Voiding a service after completion

  • Changing the service date

  • Editing the service price

  • Reassigning the job to a different technician

Below are the most common causes of scorecard discrepancies and what to check.

Production Value Discrepancies

Production value differences are one of the most common issues.

1. Different CRM Fields

Many systems have multiple “production” fields. Applause pulls from a specific field, which may not be the one your team uses for reporting.

Example (PestPac):

  • Total = $100

  • Subtotal = $100

  • Production Value = $50 (if technician share is 50%)

If you are comparing Applause to the “Total” field, but we are using “Production Value,” the numbers will not match.

Tip: Ask your team which CRM field they use to define production value. Applause scorecard customers may be able to switch fields.

2. Multiple Technicians on One Job

Applause assigns the full production value to each technician on the job.

Example:

  • $100 job

  • 2 technicians

Applause:

  • Tech A = $100

  • Tech B = $100

Some CRMs split it:

  • Tech A = $50

  • Tech B = $50

3. Invoices vs. Services

If a service order is converted to an invoice before being marked complete, Applause will not ingest that invoice data.

4. Service-Type-Based Fields

Some systems utilize different production fields depending on service type. Applause does not currently support dynamic field switching by service type. In these cases, average production per job is often more reliable than monthly totals.

Route Completion %

Applause uses its own standardized method to calculate route completion.

Daily Snapshot Rule

Every day at 7:00 AM MST, we take a snapshot of all jobs scheduled for that day. This becomes the denominator for route completion.

If schedules change after 7:00 AM MST:

  • Adding jobs → tech may show over 100% completion

  • Moving uncompleted jobs to another day → tech may still show 100%

  • Dragging jobs to a new day instead of creating a new appointment does not adjust the original scheduled count

We count all jobs that were scheduled at the time of the snapshot, regardless of how they were later moved.

Completed Jobs Count

Applause logs completed services based on when the service was performed..

Also note:

  • Jobs not tied to a customer (like internal meetings) are not ingested

  • Voided or reassigned jobs after completion may cause mismatches

Reservice Rate

Company-wide reservice rates are typically accurate; however, technician-level discrepancies can occur.

Common Causes

  • Job reassigned to a different technician after ingestion

  • Multiple service types are performed close together by different technicians
    Applause’s Advanced Reservice Logic:

  • Looks back 89 days by default

    • Users have the ability to customize the lookback window

  • Attributes the reservice to the most recent completed technician

    • You can also choose to exclude certain job types, or employees from being considered in the lookback period.

Certain complex service workflows can make perfect attribution difficult.

Driving Safety Scores

Applause generally displays the driving data exactly as provided by your driving software (except for Lytx). If your driving software has the ability to edit/ignore driving events, we will not pick up those edits or ignores, which would result in a mismatch between systems.

Data Timing

Every eventing at 5:00 PM MT, we collect driving data from the prior day (ending at 5:00 PM MST). Driving after 5:00 PM is included in the next day’s data.

  • We will always match the driving data to the correct date regardless of when ingested.

  • If you're viewing driving data for the current day in leaderboards or the Scorecards dashboard via Applause, keep in mind that before 5:00 PM MST, the data shown will reflect month-to-date totals through the previous day.

Missing Driving Data

Most common causes:

  • Integration is not fully set up

  • Fleet ID missing/mismatch for specific drivers

Still Seeing Differences?

If numbers still don’t align, please share:

  • The metric in question

  • Technician name(s)

  • Job ID(s)

  • Date range

Our team can help identify exactly where the discrepancy is coming from.

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