DPIA Check
Does your project need a data protection impact assessment?
This interactive check gives a preliminary assessment of whether a data protection impact assessment under Art. 35 GDPR is indicated for processing personal data – for example with AI, scoring, profiling, video surveillance, health data, employee data, tracking, platform data or large-scale processing.
What this check is for
The checker helps companies, product teams, data protection officers, HR, marketing, IT security and management to capture DPIA triggers, documentation gaps, safeguards and the next review path in a structured way.
- Initial assessment of whether a DPIA obligation is likely or a threshold analysis is sufficient.
- Review of typical risk signals: special categories of data, profiling, monitoring, new technologies, vulnerable data subjects and large volumes of data.
- Comparison with the required evidence such as records of processing, data flow, role mapping, DPA, deletion concept, TOMs and risk analysis.
- Preparation of a usable short description for your enquiry to a lawyer.
DPIA traffic light
From data project to a reliable DPIA decision
The DPIA traffic light counts live which of the nine criteria from the EDPB-endorsed guidelines WP248 rev.01 your answers touch, shows possible matches on the DSK must list under Art. 35(4) GDPR and names the next specific deliverables. The signals update automatically while you complete the questionnaire.
Not yet assessed
Answer the questionnaire. Rule of thumb under WP248 rev.01: if two or more criteria are met, a DPIA is generally required.
0 of 9 criteria under WP248 rev.01 touched
- 1Evaluation or scoring, profiling
- 2Automated decision with legal or similarly significant effect
- 3Systematic monitoring
- 4Sensitive or highly personal data
- 5Large-scale processing
- 6Matching or combining datasets
- 7Vulnerable data subjects, such as employees, children, patients
- 8Innovative use or new technology, such as AI
- 9Data subjects are prevented from exercising a right or accessing a service
DSK must list (Art. 35(4) GDPR)
No comparison possible yet. The list of the German Data Protection Conference (DSK) for the private sector (version 1.1 of 17.10.2018) is binding but not exhaustive.
Next deliverables
- 1Documented preliminary review (threshold analysis) with reasons, even if no DPIA is required – see Records of processing activities.
- 2DPIA report under Art. 35(7) GDPR: description, necessity, risks, remedial measures – see Data protection impact assessment.
- 3TOM and action plan with residual risk assessment – see Data protection audit.
- 4If the residual risk is high: prior consultation of the supervisory authority under Art. 36 GDPR before processing begins – agree the approach with ITMR.
- 5For AI: comparison with the AI Act (Art. 26(9), Art. 27) – see AI Act Check.
Review path as text
The graphic shows the review path: first the processing context is clarified, then risk factors, evidence and safeguards are classified.
DPIA risk path in four stages: 1. Processing – purpose, data, data subjects. 2. Risk – profiling, monitoring, sensitivity. 3. Protection – TOMs, transparency, control. 4. Decision – DPIA, preliminary review, Art. 36. The result is DPIA evidence.
Decision rule of the traffic light: a match on the DSK must list or a standard example under Art. 35(3) GDPR means red (DPIA required). Two or more WP248 criteria mean red (DPIA generally required). One criterion means yellow (document the preliminary review, DPIA possible in individual cases). No criterion means green (document the threshold analysis). The traffic light is an orientation and does not replace an individual review.
Review logic
How the DPIA Check approaches the decision
Narrow down the processing
Purpose, data types, data subjects, systems, recipients and roles must be specific enough for risks to be assessable at all.
Identify triggers
Special categories of data, scoring, profiling, systematic monitoring, new technologies or large volumes of data often point towards a DPIA.
Review the evidence
Records of processing, legal basis, data flow, role mapping, DPA, deletion concept and privacy notices are typical basic building blocks.
Assess safeguards
Data minimisation, access protection, encryption, transparency, human review, tests and incident processes only reduce risks if they are actually implemented.
Decide on the residual risk
If a high risk remains despite the measures, prior consultation under Art. 36 GDPR is mandatory before processing begins, in addition to the DPIA; the residual risk assessment must be reviewed and documented.
Classification
What this check delivers
The check does not replace an individual legal review. It does, however, help to capture typical DPIA signals in a structured way and prepare the next documents for a reliable review.
What is a DPIA?
A data protection impact assessment is a structured risk analysis for processing that is likely to result in a high risk to the rights and freedoms of natural persons. It documents purpose, necessity, risks, safeguards and residual risk.
Which projects are typical DPIA candidates?
Typical DPIA candidates are AI and scoring systems, automated evaluation, systematic monitoring, video surveillance, health data, employee data, large volumes of data, tracking, profiling, data matching and processing of vulnerable persons.
What happens if a high residual risk remains?
If safeguards do not reduce the high risk sufficiently, prior consultation of the competent data protection authority under Art. 36 GDPR is mandatory before processing begins. This is a special escalation case: the authority has up to eight weeks, extendable by six weeks; this should be planned before go-live and documented properly.
Interactive questionnaire
Start the DPIA threshold analysis
Answer the following five steps. The result is a preliminary classification with reasons, priority, review points and a copyable enquiry summary.
1 of 5 steps
Preliminary result
Why this result?
Recommended next review points
Documents worth preparing
Copyable summary for your enquiry
Risk matrix
Typical DPIA signals, measures and deadlines
| Signal | Why it matters | Typical measure | Timing |
|---|---|---|---|
| AI, scoring or profiling | Evaluations can have significant effects on people. | Review logic, data basis, human review, bias test and transparency. | Before go-live and in the event of a material change. |
| Health data or special categories | High intensity of intervention and increased need for protection. | Review legal basis, access, encryption, purpose limitation and deletion in depth. | Before processing. |
| Systematic monitoring | Control and behavioural risks can be high. | Assess necessity, alternatives, retention period, transparency and access protection. | Before introduction or expansion. |
| Tracking and user analysis | Profiling, device access and third-party providers can interact. | Review consent, TDDDG, third-country transfers, withdrawal, data minimisation and recipients. | Before a campaign, tool change or live operation. |
| Data breach or complaint | Evidence, risk assessment and communication become time-critical. | Review breach triage, 72h notification check, information of data subjects and DPIA evidence. | Immediately after becoming aware. |
| Data subject rights | Access, erasure and objection must work in practice. | Organise the DSAR process, identity verification, deadline control and documentation. | Usually to be answered within one month. |
Sensible next steps
Related ITMR checkers and follow-up reviews
Get a reliable answer on the DPIA obligation
If a go-live is imminent, processing is already running, special categories of data are affected or AI, tracking, HR, platform data or video surveillance are involved, the DPIA decision should be documented in a traceable way.
Request a DPIA check from ITMRLegal notice: this checker offers an initial orientation and does not replace an individual legal review. Whether a DPIA is required depends on the processing, purpose, data types, groups of data subjects, scale, risks, safeguards, roles and residual risk. How a full Data protection impact assessment works and how it fits into a Data protection audit is explained on the respective service pages.