Use Synthetic Examples Before Giving an AI Tool a Real Spreadsheet

When an assistant needs to understand a spreadsheet problem, it often needs the structure rather than the real people or transactions. A synthetic sample lets you explain that structure using invented records. Treat it as a working example, not as a guarantee that every privacy concern has been removed.

Identify what the task actually needs

If you need a formula for counting incomplete tasks, the useful fields may be Task ID, Status and Due date. Names, contact details, free-text notes and financial amounts may be irrelevant. Describe the intended calculation before choosing any rows to share.

Create a new sample with fictional identifiers such as TASK-001 and TASK-002. Include the same column names and data types as the original. Replacing only a person's name while retaining distinctive notes or exact dates can leave unnecessary identifying detail in the example.

Reproduce the difficult cases

Include a blank status, an unexpected status, a missing date and a duplicated identifier if those occur in your real workflow. Write the expected result next to each case. For example, decide whether a blank status means incomplete or unknown; the assistant should not invent that business rule.

Ask for an explanation and a formula against the sample. Check that any referenced ranges correspond to your actual spreadsheet application and layout before using them on a copy of the real file.

Transfer cautiously

Keep the original workbook unchanged while testing. Compare known examples manually and inspect error cells. A formula that works on five invented rows may fail when dates are stored as text or when the real sheet contains merged cells.

Share the smallest useful sample, inspect it before submission, and follow the rules that apply to your actual data. If the task requires protected information, a synthetic demonstration may be the appropriate stopping point.