The playbook
CRM Data Migration: Metrics and Measurement
Measure CRM data migration by defining reconciled migrated records precisely enough that two people can reproduce the result from the same records. Keep the reporting unit, date basis, and scope visible. Without those definitions, a change in the report may reflect a changed calculation rather than a changed customer outcome.
Put the task in context
Keep the original source identifier during migration so records can be reconciled. Map relationships as well as fields. Test duplicate matching, blank values, stage translation, and dates on a small sample before moving the remaining records.
Create a metric definition
| Definition field | What it must explain |
|---|---|
| Measure | reconciled migrated records |
| Unit | What one customer or opportunity record or completed outcome represents |
| Included records | The scope identified by source ID and target ID |
| Date basis | The event date or period used to include a record |
| Exclusions | Tests, duplicates, or other records outside the agreed definition |
| Source owner | sales manager |
Separate delivery checks from outcome measures
A delivery check asks whether the team completed a specific task, such as inventory source objects fields and identifiers. An outcome measure asks what happened for the user or business afterward. Keep both visible. Completing the task is useful evidence of execution, but it does not by itself prove that the broader outcome improved.
Worked arithmetic example
Suppose an illustrative review includes 80 eligible records, and 60 satisfy the explicitly defined completion condition. The completion share is 60 ÷ 80 × 100 = 75%. This is hypothetical arithmetic, not an industry benchmark or a predicted improvement. It describes only the population and condition you defined.
For CRM data migration, explain the condition before applying that calculation. If the question is whether the team can reconcile counts relationships and sample histories, a record counts only when the evidence demonstrates that condition. Do not replace missing outcomes with successful ones just to complete a report.
Compare like with like
Keep the scope, date basis, and exclusions consistent between observations. If target ID changes meaning between periods, note the change and rebuild a comparable view where possible. A rate can also move because the composition of the underlying group changed, even when individual performance did not.
Investigate an unexpected result
- Check whether the underlying source ID records are complete.
- Look for this known failure: importing duplicate people as separate unrelated contacts.
- Verify that the process still includes: clean duplicates and map values before import.
- Reconcile a sample with the original record before changing the operating plan.
Use the report to choose an action
If the evidence supports a correction, define matching rules and test a small representative migration. Record when the change occurred and what should be checked next. Keep uncertainty visible when the sample is small or the observation period is incomplete. The purpose of measurement is a better decision about reconciled migrated records, not a favorable-looking number.
Use observable customer milestones when assessing progress. A seller sending a message is an activity; a buyer agreeing to a next meeting is a different event. Recording both helps the team locate the actual constraint.
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