Movement strengtheningData lead

CSV column mapping helper

Map messy incoming columns to your schema.

Prompt template

0 placeholders

Given the source columns {SOURCE} and target schema {TARGET}, propose a mapping. Flag columns with no obvious match, and any fields that likely contain personal data needing extra care.

Replace each highlighted placeholder with real context. Keep names and safeguarding details out.

When to use this prompt

Reach for this prompt when you need to map messy incoming columns to your schema. It's designed for Data lead. Typically used within Data work.

Draft with AI, then have a colleague verify facts and tone before use.

How to use it

1
Gather your inputs
Have your local context, audience and goal to hand.
2
Fill in the highlighted placeholders
Copy the template above and replace every highlighted placeholder with real, local context.
3
Run it in your AI tool
Paste into your preferred AI assistant. Ask a follow-up if the output misses your association's tone.
4
Work through the checklist
Tick every item before you send, publish or act on the output.

Why this prompt works

Cuts a boring hour to five minutes.

Worked example

SOURCE: [list] · TARGET: [list]

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