Field Usage

Find the clutter worth clearing.

SchemaForce surfaces usage and dependency signals for every field — so the fields nobody remembers building become a clear, safe cleanup list instead of guesswork.

Metadata onlyUsage + dependencies together

Usage and dependency signals

See field population signals, where a field is referenced, and governance-lite checks like PII-looking and likely-duplicate fields — the inputs you need before deciding what to retire.

Unused / no-data field signals
Field population insight
Field dependency references
PII-looking field detection
Likely-duplicate field hints
Filter and sort to triage

Cleanup you can defend

Pair usage with dependencies so you remove the right things, then pair it with impact analysis — which gives every field a safe-to-change verdict over the validation rules, layouts, and automations that depend on it — and keep a record of what changed with change tracking.

Common questions

Will it tell me exactly what breaks if I delete a field?

Each field has an Impact section that leads with a verdict — “referenced by 4 validation rules, 3 layouts, 2 automations — review before changing,” or “likely safe to retire” — over everything that depends on it. Automation links are dependency-graph level (names, not Flow or Apex internals), so a sandbox test stays the final check for a high-risk change.

Do I need approval or a sales call to try it?

No. SchemaForce is self-serve — sign up, connect your org, and start. Pricing is published up front.

Do you read our data?

No. We read object and field definitions only — never the contents of your records.

See your own org in minutes.

Connect Salesforce, explore every object and field, and ask your schema anything — free to start.