TürkiyeStartups
Guide13 Oct 20262 min read

Data protection compliance checklist: 12 steps for startups

Steps startups take for personal-data compliance: inventory, notices, consent, security and breach reporting.

By Editorial Team

Cover illustration: Data protection compliance checklist: 12 steps for startups

Startups process customer, user and employee data, so compliance with personal-data protection law is a core part of the product, not an afterthought. The steps below give a general frame; for your legal obligations get a legal advisor's help and verify current regulation.

12-step checklist

  1. Data inventory: Which personal data do you process, for what purpose, where and for how long? List it in one table.
  2. Legal basis: Identify the basis for each processing activity (contract, legal obligation, legitimate interest, explicit consent and so on).
  3. Privacy notice: Inform data subjects who you are, what data you process for what purpose and their rights.
  4. Explicit consent: When needed, use informed, specific, freely given consent. Pre-ticked boxes are not appropriate.
  5. Privacy policy and cookies: Keep an up-to-date policy and cookie management on your site; see terms of use and privacy policy.
  6. Data subject rights: Set up a process to respond to access, correction and deletion requests.
  7. Data minimisation: Collect only data you really need.
  8. Retention and deletion: Set retention periods and delete or anonymise expired data.
  9. Technical and organisational security: Access control, encryption, backups, multi-factor authentication; see cybersecurity basics.
  10. Third parties and transfers: Govern data sharing with cloud, analytics and marketing tools by contract; check cross-border transfer conditions.
  11. Breach plan: Who does what in a data breach, who is notified and when? Write it in advance.
  12. Training and accountability: Raise team awareness and appoint a responsible person.

Extra care in AI products

If you train models on user data or send data to third-party AI services, there are extra risks. See AI and data protection and data strategy in AI products.

Practical tips

  • Do not use real customer data in test environments.
  • Include employees' personal data in the inventory.
  • Add data-processing clauses to your contract templates; see the legal checklist.

Common mistakes

  • Copying a privacy policy from another site
  • Collecting more data than needed
  • Having no process for deletion requests
  • Not knowing which data goes to third-party tools

This guide is for general information only and is not legal, financial or investment advice. Check official sources and consult professionals for current terms.

More guides

All news and guides →