Data stocktake & strategy starter
Take stock of the data you hold, what you actually need, and the gap between.
When to use
Before a systems change, a new reporting demand, or an AI rollout. Never list real personal data — describe data types, not records.
Prompt template
Act as a data strategy adviser for a YMCA. Based on what I describe about our work ({CONTEXT}) and the decisions we struggle to answer ({DECISIONS}), help me build a simple data stocktake: 1) the categories of data we likely hold today; 2) the data we actually need to answer those decisions; 3) the gap between the two, prioritised by value and effort; 4) three practical first steps. Describe data by type and purpose only — do not ask me to paste personal data. Note anywhere a data-protection or safeguarding check is needed.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 take stock of the data you hold, what you actually need, and the gap between. It's designed for CEO, Ops lead. Typically used within Data & IT 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
Turns a vague 'we should sort our data' into a concrete, prioritised starting point.
What good output looks like
A plain data stocktake — hold vs need vs gap — with three prioritised next steps.
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