Affording Process Auditability with QualAnalyzer: An Atomistic LLM Analysis Tool for Qualitative Research

📰 ArXiv cs.AI

QualAnalyzer is an open-source tool that provides process auditability for qualitative research using large language models

advanced Published 7 Apr 2026
Action Steps
  1. Identify the need for process auditability in qualitative research
  2. Use QualAnalyzer to process each data segment independently and preserve the prompt, input, and output for every unit
  3. Apply QualAnalyzer to case studies such as holistic essay scoring and deductive thematic coding
  4. Evaluate the effectiveness of QualAnalyzer in increasing transparency and reproducibility in qualitative research
Who Needs to Know This

Data scientists and qualitative researchers on a team can benefit from using QualAnalyzer to increase transparency and reproducibility in their analysis, while software engineers can contribute to the development and integration of the tool

Key Insight

💡 QualAnalyzer provides a transparent and reproducible way to conduct qualitative research using large language models

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📊 QualAnalyzer: increasing transparency in qualitative research with LLMs
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