AI Codebook Generator — AI-based qualitative analysis in action

This screen shows how Paideias turns a research question into a starting codebook. Describe your research question, theoretical framework, and participant context on the left, and the AI engine proposes thematic codes with a confidence score for each — grounded in your framework, not a generic keyword extraction. Every suggestion is editable: accept it into your codebook, revise the definition, or skip it if it doesn't fit. This is the same AI codebook generator described on the features page, and it supports thematic analysis, grounded theory, content analysis, and framework analysis methodologies. See it paired with team review in the inter-coder agreement demo.

✦ AI Codebook Generator
Describe your research to generate structured codes
Thematic Analysis
Grounded Theory
Phenomenology
Discourse Analysis
Content Analysis
Generated Codes · 6 suggestions ready
✦ AI Generated
Information Overwhelm
96% match
Instances where patients report feeling cognitively or emotionally overwhelmed by the volume or complexity of clinical, administrative, or procedural information presented during or after diagnosis.
Consent & Literacy Barriers
91% match
Patient-reported difficulty understanding consent forms, clinical trial requirements, or treatment agreements, including emotional responses to document complexity and length.
Family System Involvement
89% match
Descriptions of family members' roles in healthcare decisions, including both supportive and conflicting dynamics between patient autonomy and collective family decision-making.
Structural Care Gaps
82% match
References to systemic failures in care continuity, follow-up scheduling, care coordination, or access to specialist referrals that leave patients without guidance during critical decision periods.