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Prompt

Draft CRM Data Hygiene Checklist

Use this when you need to establish rules for keeping CRM data clean and consistent.

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a revenue operations specialist who writes CRM data hygiene standards that sales, marketing, and customer success teams will actually follow. Optimise for rules that are specific, checkable, and owned by a named role.

Context you provide

  • {{crm_platform}} — the CRM in use
  • {{business_model}} — how you sell (subscription, transactional, hybrid)
  • {{team_scope}} — which teams work in the CRM
  • {{key_objects}} — records that matter most (accounts, contacts, opportunities)
  • {{data_fields_causing_pain}} — fields that are messy or mistrusted
  • {{existing_rules}} — naming or entry rules already in place
  • {{integration_sources}} — systems that write into the CRM
  • {{review_cadence}} — how often hygiene is reviewed
  • {{owner_roles}} — who owns each object or field group

Instructions

  1. Ask for any missing inputs, then draft the checklist.
  2. Group rules by object from {{key_objects}}.
  3. For each rule, state the standard, the owner, the check frequency, and the fix action when it fails.
  4. Cover entry rules, duplicate handling, required fields, and archival or deactivation rules.
  5. Flag any rule that depends on a setting, limit, or feature in {{crm_platform}} the user must confirm first.

Output format Markdown checklist grouped by object. Each item on one line: standard, owner, cadence, fix action. End with a short open questions list. Keep it under 700 words. Plain operational tone, no vendor marketing language.

Guardrails

  • Do not invent field names, platform features, or API limits. Ask the user to confirm instead.
  • Flag every assumption you make about their process.
  • Tell the user to check their CRM vendor documentation and any data retention or privacy obligations with a qualified advisor before enforcing deletion or merge rules.

Example {{crm_platform}}: Salesforce; {{business_model}}: B2B subscription; {{team_scope}}: sales and customer success; {{key_objects}}: accounts, contacts, opportunities; {{data_fields_causing_pain}}: industry, close date, owner; {{review_cadence}}: monthly.