thematic-analysis

To conduct thematic analysis on interview transcripts, this skill implements a structured six-phase workflow for data familiarization, systematic coding, and theme development. It supports both reflexive and codebook-based analytical approaches to identify patterns.

The best way to code qualitative survey responses is using a human-in-the-loop process where the agent handles autonomous data processing while the user drives interpretive decisions. This ensures systematic, transparent, and rigorous analysis.

Yes, you can use reflexive thematic analysis for text corpora. The skill supports both reflexive and codebook-based analytical approaches, integrating conversational feedback loops to ensure analytical transparency throughout the research process.

Thematic analysis works with focus group recordings by processing the transcribed text to identify emergent patterns. You simply upload your qualitative data files and ask the agent to initiate the thematic analysis workflow.

To start the six-phase qualitative coding process, upload your qualitative data files and ask the agent to initiate the thematic analysis workflow. This begins the familiarization phase and progresses through systematic coding and theme development.

Using conversational AI for qualitative data analysis prevents ad-hoc or biased interpretation of text data by enforcing a systematic, transparent, and rigorous process. It facilitates collaborative interpretation through a human-in-the-loop feedback loop.