CRM Field Governance

Field count is the wrong metric. A CRM with fifty well-governed fields is less reliable than one with three hundred fields that each have a clear purpose, a named owner, and defined update logic. The number is a distraction. The governance is the point.

Consolidation projects that chase simplicity often strip away legitimate context. A field that captures adviser preference or onboarding exceptions may sit untouched for months, but when it is needed, it carries information that no other field holds. Deleting it in the name of tidiness does not eliminate the need. It pushes the need underground, into notes fields, into workarounds, into the gap between what the CRM says and what actually happened.

The more damaging pattern is the catch-all field, one field doing the work of three, storing investor status and segmentation priority and product suitability in a single value that breaks every report it touches. That is not simplicity. That is complexity disguised as order.

Field sprawl is a governance failure, not a volume problem. Ownership, purpose, and lifecycle discipline are what make a large field set navigable. Without them, a minimal CRM is just as broken, only harder to diagnose.

Q: Why do CRM rationalisation projects so often focus on reducing field count?

A: Field count is visible and measurable, which makes it an appealing proxy for health. Reducing it feels like progress. The problem is that volume is a symptom, not a cause. A CRM with too many fields usually has a governance problem, and removing fields without fixing the underlying process produces a smaller system with the same structural weaknesses.

Q: What is a catch-all field and why is it a problem?

A: A catch-all field stores multiple distinct concepts in a single value, typically because separate fields were never created for each one. A "client category" field that encodes investor status, segmentation tier, and product suitability simultaneously is a common example. It looks simple but breaks reporting and automation, because every system consuming that field has to interpret an overloaded value rather than read a clean, single-purpose one.

Q: When is it right to delete a CRM field?

A: When it has no owner, no defined purpose, and no record of use that anyone can explain. Age and low activity alone are not sufficient reasons. Fields that capture infrequent but high-value context, such as onboarding exceptions or relationship history, should be retained even if they are rarely updated. The question is whether the field holds information the business would need if it were asked.

Q: What does field governance actually require in practice?

A: Three things consistently: a named owner who can explain what the field captures and why, a defined update method, and a lifecycle plan that includes when the field should be reviewed, consolidated, or retired. Without those elements, fields accumulate without accountability. With them, even a large and complex field set remains manageable.

Q: How does poor field design affect CRM adoption?

A: When fields are overloaded, ambiguous, or inconsistently maintained, users lose confidence in the data. They stop treating the CRM as the source of truth and begin maintaining parallel records. That erosion is rarely visible until the gap between the system and reality becomes too wide to ignore, at which point the cleanup required is far larger than any rationalisation project would have been.