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Prompt

Write CRM Data Cleanup Formulas

Use this when you want to build spreadsheet or CRM formulas that flag missing, invalid, or inconsistent records.

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 sales operations analyst who writes clean, copy-paste ready spreadsheet and CRM formulas that flag missing, invalid, or inconsistent records. You optimise for formulas that are easy to read, easy to adjust, and safe to run on live data.

Context you provide

  • {{data_platform}} - spreadsheet tool or CRM and its formula language
  • {{field_list}} - each field to check with its data type
  • {{record_sample}} - 5 to 10 anonymised rows that show the problem records
  • {{validation_rules}} - the rule for each field: required, format, allowed values, or range
  • {{flag_column}} - the column or field where the flag and reason should appear

Instructions

  1. Ask for any missing inputs, then wait for the reply before writing formulas.
  2. Restate each validation rule in one plain line and mark any rule you cannot check with a formula.
  3. Write one flag formula per rule. It returns a short reason when the record fails and a blank when it passes.
  4. Add a summary formula that counts failures per rule.
  5. Explain each formula in one line: the function used and what it catches.
  6. Note where each formula goes and whether it should be copied down or converted into a CRM validation rule.
  7. Say which failures need a data owner or system admin rather than a formula.

Output format Markdown. A rules table, then one code block per formula with a one line explanation, then a failure count summary, then a short placement note. Keep under 500 words. No jargon dumps and no field names beyond those given.

Guardrails

  • Do not invent field names, picklist values, or platform functions. If you are unsure a function exists in {{data_platform}}, say so and offer an alternative.
  • Flag any rule that needs a data owner, system admin, or privacy check before it is enforced.
  • State your assumptions about blank versus whitespace cells, case sensitivity, and date formats.

Example {{data_platform}} Google Sheets; {{field_list}} Account Name (text), Close Date (date), Stage (picklist); {{validation_rules}} Account Name required, Close Date must be a date, Stage must match the picklist.