Assess GDPR compliance risks in a proposed data-sharing agreement between two organizations
Context
Two organizations are entering a joint data-sharing agreement involving EU citizen personal data. The data protection officer must assess GDPR compliance risks before the agreement is signed, producing a structured risk assessment that the legal team can act on and that satisfies regulatory documentation requirements.
Before (Unstructured)
"Check if this data-sharing agreement is GDPR compliant."
What is missing
- × No professional role established — who is conducting this assessment?
- × Binary framing (compliant/not) misses nuanced risk landscape
- × No specific data categories, volumes, or jurisdictions mentioned
- × No analytical methodology — which GDPR articles to assess against?
- × No evaluation criteria — how thorough should the analysis be?
After (MOTIVE-Structured)
As a data protection officer, I need to assess GDPR compliance risks because two organizations are entering a joint data-sharing agreement involving EU citizen personal data, and the legal team requires a risk-rated assessment before signing.
Deliver a risk assessment report with compliance gap matrix, risk severity ratings (High/Medium/Low), and prioritized remediation recommendations. Success criteria: (1) All relevant GDPR articles addressed, (2) Each risk rated by likelihood and impact, (3) Remediation actions assigned with deadlines.
Use the ICO's Data Protection Impact Assessment methodology and GDPR Article 6/9 lawful basis analysis. Cross-reference with EDPB Guidelines 07/2020 on controller/processor concepts.
1. Identify all personal data categories in scope. 2. Assess lawful basis for each processing activity under Art. 6 and Art. 9. 3. Evaluate cross-border transfer mechanisms (Art. 44-49). 4. Rate each identified risk by likelihood (1-5) and impact (1-5). 5. If regulatory guidance is ambiguous, note as 'requires legal counsel review'.
Jurisdictions: Germany, France. Data subjects: ~50,000 EU residents. Data types: Behavioral analytics, transactional records. Controller relationship: Joint controllers (Art. 26). Audience: Legal team and DPO. Format: Structured report with risk matrix. Exclude: Employee data, historical data pre-2020.
Evaluate: (1) Legal accuracy 1-5, (2) Completeness of risk coverage 1-5, (3) Actionability of recommendations 1-5, (4) Regulatory citation accuracy 1-5. Flag any high-severity gaps immediately. If any criterion < 3.5, revise affected sections.
Output Comparison
Before Output
The data-sharing agreement should comply with GDPR. You need to ensure proper consent and data protection measures. Consider appointing a DPO and conducting a data protection impact assessment. Make sure transfers outside the EU have adequate safeguards.
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After Output
Risk R-003: Cross-border transfer mechanism (Art. 46). Severity: HIGH. The agreement specifies Standard Contractual Clauses (SCCs) but does not address the supplementary measures required post-Schrems II for Germany-France data flows involving behavioral analytics. Likelihood: 4/5. Impact: 5/5. Remediation: Conduct Transfer Impact Assessment per EDPB Recommendations 01/2020. Deadline: Before contract signing.
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Evaluation Scores
Key Improvement
The Tool component produced the largest quality impact by specifying ICO DPIA methodology and EDPB guidelines — replacing generic compliance advice with jurisdiction-specific, article-level regulatory analysis that meets documentation standards.