Custom CRM fields can represent qualification rules, territory logic, customer categories, contract conditions, internal routing, or years of process workarounds. Before moving them, a migration needs to determine which fields are active, what they mean, how their values are used, and whether the destination has a direct equivalent.
Discover actual usage
Inventory custom fields together with data coverage, value distributions, relationships, and the processes that depend on them. A field that looks unused may still drive a workflow or report, while a heavily populated field may no longer be operationally relevant.
Map meaning, not labels
Two fields with different names may represent the same concept, and two fields with similar names may have different semantics. Mapping should be based on business meaning and downstream use rather than label similarity alone.
Key takeaway: The useful test is whether the process preserves business meaning, ownership, evidence, and the ability to verify what happened. A faster handoff is not enough if those controls disappear.
Transform with evidence
When values need normalization, splitting, combining, or recoding, the transformation rule should be explicit and versioned. Ambiguous cases should be sent for review instead of receiving a default guess.
Reconcile custom-field outcomes
After execution, verify that transformed values, unresolved cases, and intentionally omitted fields match the approved mapping. This prevents custom-field loss from hiding behind successful record counts.
Practical checklist
- Custom-field inventory
- Usage analysis
- Semantic mapping
- Transformation rules
- Ambiguity queue
- No-equivalent decisions
- Post-migration validation
See the connected product context
This guide targets a narrow operating problem. The related Infrakinetic capability page shows how that problem connects to the wider product architecture and adjacent workflows.
Explore the related capability