Exploring Agent-Assisted Qualitative Analysis
The article discusses the potential of AI agents in assisting qualitative analysis, a complex and time-consuming research method. It explores the author's experiments with different setups of human-agent collaboration in qualitative analysis. The findings highlight the challenges of integrating AI into qualitative workflows, emphasizing the need for further research in this area.
- ▪Qualitative analysis involves interpreting unstructured data to identify significant patterns and themes.
- ▪The author conducted experiments to explore how AI agents can assist in qualitative analysis workflows.
- ▪The research highlights the difficulties both humans and AI face in performing qualitative analysis effectively.
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May 21, 2026 · 28 min read Exploring Agent-Assisted Qualitative Analysis Table of Contents Background Grounded theory Why agent-assisted qualitative analysis is a good problem to work on Experiments Data Agent setups Findings Agents don’t understand what qualitative analysis is Summary What it feels like to be in the loop Looking forward Now that I’ve finished a long year (years, really) searching for a faculty job and accepted an offer, I can finally get back to my usual blogging antics! After coming back from all my interviews, it seemed that AI agents suddenly got a lot better at everything, so I wondered: what are some challenging workflows I did during my PhD, and could AI agents help me automate parts of them? One workflow that felt particularly interesting to revisit was…
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