The craft of empirical research.
Scales measure, conversations explain. This collection bundles method, governance and analysis craft — for teams that need decision-grade evidence and have to defend it internally.
The craft
Scales are good at measuring a what. They are poor at explaining a why. Board decisions rarely stand on the what alone — the question is always what to act on.
Qualitative interviews deliver the why. They have not been scalable — until now. AI-guided conversations close that gap: not as a replacement for the scale, but as its extension: several hundred interviews with consistent guide quality in weeks instead of months.
Governance is not a footnote. EU AI Act, GDPR, works council, auditor: at enterprise scale you need a non-retention architecture, clear role models and documented procedures — otherwise nothing ships.
- 01Scales measure, conversations explain.
- 02Representativeness is not the same as truth — heterogeneity is a feature.
- 03Non-retention is governance design, not marketing.
- 04Cronbach, median and top-2-box belong to scales — conversations follow coding and clustering.
- 05AI tools are instruments, not outcomes — the method decides.
Group legal requires a governance review before rolling out a listening programme. Questions: is processing EU AI Act compliant? What happens to audio? What is the works council path?
Five-week review along non-retention architecture, record of processing activities, data processing agreement, technical and organisational measures and a documented rights concept for HR and the works council.
Auditor sign-off: audio is not stored, transcripts are pseudonymised, roles and purposes are documented. Legal and compliance end up with a defensible governance file.
Rollout starts in week 6 with works council sign-off. The review document becomes the template for every subsequent programme in the group.
Likert Scale: The Complete Practical Guide
Design, analysis, and common pitfalls of the Likert scale. With examples, comparison tables, and concrete recommendations from market research.
Employee Survey Questions: Templates & Examples
More than 40 example questions for your employee survey, grouped by topic. With a template structure, common mistakes and where scale questions reach their limits.
How to set up a qualitative interview properly
From research design through the interview guide to qualitative content analysis. A methodologically clean practical guide.
AI Tools for Qualitative Research: An Enterprise Selection Guide
Understand AI interviews, coding and research repositories. What software handles and when your decision needs a full-service insight partner.
How to Evaluate AI Interview Tools: A Buyer's Checklist
Seven evaluation criteria for AI-powered interview tools: conversation quality, methodological control, data protection, traceability, and the question of who owns interpretation.
Governance & Privacy for Conversational Data
The reference for legal, procurement and works council. EU AI Act, GDPR, non-retention — with a sign-off checklist.
Evidence for the Board: From Raw Conversation to Board-Grade Brief
How raw voice, patterns and decision hypotheses become a brief that holds up in the board — without smoothing over reality.
AI market research and GDPR: what you really need to know in 2026
Voice data, AI models, third countries, the EU AI Act. We untangle the most common questions around GDPR-compliant AI market research and show what really matters from a client perspective.
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