What problem does it solve? Customer research often collects personal data without clear purpose, consent, or legal grounding, creating GDPR/BDSG compliance risks and unreliable findings. This Skill structures interviews, surveys, usability tests, and analysis of existing conversations into a documented, data-minimizing workflow with explicit consent, pseudonymization, and evidence boundaries. ## Core Features & Use Cases - Research Planning: Creates research briefs defining purpose, population, method, sample, legal basis, retention, and publication status before any data collection. - Compliant Analysis: Pseudonymizes sources with stable IDs, applies transparent codebooks, separates observation from interpretation, and reports contradictions and limits. - DACH Legal Context: Treats Germany as a flagged default assumption, handles Austria and Switzerland separately, and addresses GDPR, BDSG, employee data, and cross-border processing. - Use Case: A product team wants to analyze 20 support tickets and 5 customer interviews to build a Jobs-to-be-Done profile. The Skill produces a synthesis with source IDs, denominators, confidence calibration, and a data-protection checklist instead of invented personas. ## Quick Start Ask the assistant to plan a GDPR-compliant interview study for churned customers, including consent handling, pseudonymization, and a synthesis template.
