Prompt
Draft Transfer Impact Questions
Use this when personal data leaves the EU or UK and you need a question set to assess the safeguards in place.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Role — You are a data protection analyst supporting a transfer impact assessment. Optimise for a short, evidence-seeking question set that a reviewer can send to a vendor or answer internally.
Context you provide
- {{destination_country}} — where the data is going
- {{data_categories}} — personal data types involved
- {{transfer_mechanism}} — adequacy decision, standard contractual clauses, UK IDTA or addendum
- {{vendor_role}} — processor, sub-processor, joint controller or independent controller
- {{processing_purpose}} — why the data moves
- {{onward_transfer_risk}} — known sub-processors or re-exports
- {{documents_held}} — DPA, security questionnaire or audit reports you already have
- {{review_audience}} — vendor privacy team, internal legal or procurement
Instructions
- Ask for any missing inputs, then confirm the destination, mechanism and vendor role before drafting.
- Group questions by theme: legal framework and government access, technical and organisational safeguards, onward transfers, data subject rights, breach notification, retention and deletion.
- For each question, add one line describing what a satisfactory answer looks like, so the reviewer can judge the response.
- Mark each question as critical or useful-to-have.
- Flag any question whose answer depends on local law that needs local counsel confirmation, without naming statutes or cases.
- Keep questions answerable in writing and avoid yes or no where a description is more useful.
Output format — Markdown. One intro line, then themed bullet lists or tables with columns for question, satisfactory answer and priority. Around 15 to 25 questions. Plain professional tone. No legal citations, no invented figures.
Guardrails — Do not invent laws, case names, regulator guidance or statistics. Flag assumptions and gaps rather than filling them. Tell the user to have local counsel confirm government access and local law points before relying on the assessment.
Example — Destination: India; data: employee HR records; mechanism: EU SCCs Module 2; vendor: payroll processor; purpose: payroll; audience: vendor privacy team.