Guide · 15 July 2026

Data Protection Impact Assessment prompt set

Prompts for assessing the data-protection risks of collecting or holding gender-history information — minimisation, purpose limitation, and the conditions under which sensitive data can and cannot be used.

By Joanne Lockwood · 4 min read

When to use this

Use this prompt set before you collect, retain, or share any gender-history information — that is, information that reveals, or could be used to infer, a person’s gender history or transition. Under the UK GDPR and Data Protection Act 2018, gender-history information is special-category personal data. It attracts a higher threshold of protection and can only be processed where a separate condition for processing is met alongside a lawful basis.

How to use this template

Work through the prompts as a team — ideally involving your data protection officer. Answer each question in writing before you collect or use the data. If you cannot answer a prompt, that is itself a signal that the processing is not yet defensible. Do not collect gender-history information “just in case”: absence of disclosure is not a gap to close, and curiosity is not a lawful basis.

What data, and why

  • What data will you collect? (List each field — e.g. previous name, sex assigned at birth, gender marker, medical details.)
  • Why is each field needed? (Tie each field to a specific purpose.)
  • Is there a less intrusive way to achieve that purpose? (Could you collect category-level data, or no data at all?)

Lawful basis for special-category data

  • What is your lawful basis under Article 6? (e.g. consent, legitimate interests, legal obligation.)
  • What is your condition for processing special-category data under Article 9 and Schedule 1 of the DPA 2018? (Explicitly identify it — not all conditions will apply.)
  • Is the condition valid for this purpose?
  • If relying on consent, is it freely given, specific, informed, and withdrawable?

Purpose limitation

  • Can this data be reused for another purpose? (If so, what, and is that purpose compatible?)
  • Who might want to reuse it later, and would that be lawful?
  • Have you documented the purpose so that reuse outside it is flagged?

Minimisation

  • Is each field necessary? (Test each one. If you removed it, what would you lose?)
  • Could you collect less and still achieve the purpose?
  • Are you collecting data you do not yet know how to use? (If yes, do not collect it.)

Access and security

  • Who can access this data, and on what basis? (Role-based access, not blanket access.)
  • How is it stored? (Encryption, access logs, segregation.)
  • How is it transmitted or shared, if at all?

Retention and deletion

  • How long will you keep it? (Tie the retention period to the purpose.)
  • What triggers deletion?
  • Who is responsible for deletion, and how is it verified?

Transparency to the data subject

  • What have you told the data subject? (Privacy notice, collection notice.)
  • Do they know what is collected, why, who sees it, and how long it is kept?
  • Can they exercise their rights — access, rectification, erasure, objection?

Risks to data subjects

  • What is the risk of outing? (Could disclosure cause distress, harassment, or harm?)
  • What is the risk to dignity and trust?
  • What is the impact if the data is lost, leaked, or misused?

Mitigations

  • Mitigation:
  • Owner:
  • Residual risk after mitigation:

Residual risk and sign-off

  • Residual risk level: (Low / medium / high — and the reasoning.)
  • Decision: (Proceed, proceed with mitigations, or do not proceed.)
  • Sign-off: (Data protection officer, accountable lead, date.)

Review

  • Review date:
  • Review owner:
  • Trigger for earlier review: (e.g. a change in processing, a breach, or a change in law.)

This template provides general information and does not constitute legal advice. It is a scaffold to support your own documented, proportionate decision-making. Adapt it to your context and take specialist advice where your decision warrants it.

Take this further

  • EqIA/DPIA Wizard

    Carries these prompts into a guided six-stage DPIA and exports a record for your data-protection file.

  • Proportionality Check

    Runs the underlying data decision through a structured proportionality test, so the justification is reasoned rather than assumed.

  • Data-protection review

    Where gender-history data is sensitive or contested, a specialist review of the completed DPIA adds the depth a template cannot.

Sources