AI Qualitative Coding Assistant
Code interview and open-text data against a framework the researcher defines and validates.
$150–$8,000+
$0–$300
5–15 hrs/week
2–6 weeks
7 / 10
Very High
Overview
Coding interview transcripts and open-text data against a research framework is genuinely expensive to do by hand at scale — AI accelerates the classification pass, but the framework itself is defined and validated by the researcher, and AI-assigned codes get checked against that framework rather than trusted blind. Priced per project for researchers, UX teams and consultants who need the acceleration without giving up methodological control.
Why it works
Large qualitative datasets are expensive to code manually; AI can accelerate classification when a human validates the methodology.
How it makes money
One-off project
How to start
- Learn qualitative coding basics.
- Build a coding framework.
- Test AI coding on a small sample.
- Compare AI labels with human labels.
- Refine the taxonomy.
- Process the full dataset.
- Human-review samples and edge cases.
- Quantify themes.
- Create findings tables.
- Write implications.
- Deliver a reproducible coding record.
Tags
- qualitative-research
- ux-research
- coding
- analytics
- ai-research
Last verified 2026-08-22
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