Reflexis: Supporting Reflexivity and Rigor in Collaborative Qualitative Analysis through Design for Deliberation
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Abstract (arXiv)
Reflexive Thematic Analysis (RTA) is a critical method for generating deep interpretive insights. Yet its core tenets, including researcher reflexivity, tangible analytical evolution, and productive disagreement, are often poorly supported by software tools that prioritize speed and consensus over interpretive depth. To address this gap, we introduce Reflexis, a collaborative workspace that centers these practices. It supports reflexivity by integrating in-situ reflection prompts, makes code evolution transparent and tangible, and scaffolds collaborative interpretation by turning differences into productive, positionality-aware dialogue. Results from our paired-analyst study (N=12) indicate that Reflexis encouraged participants toward more granular reflection and reframed disagreements as productive conversations. The evaluation also surfaced key design tensions, including a desire for higher-level, networked memos and more user control over the timing of proactive alerts. Reflexis contributes a design framework for tools that prioritize rigor and transparency to support deep, collaborative interpretation in an age of automation.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 18 of its 95 references that are in the map. First posted on arXiv 21 Jan 2026.
Builds on
18 of 95 references.
References · 18
- 2023Supporting Qualitative Analysis with Large Language Models: Combining Codebook with GPT-3 for Deductive Codingcited by 82
- 2024Concept Induction: Analyzing Unstructured Text with High-Level Concepts Using LLooMcited by 77
- 2024Human Creativity in the Age of LLMs: Randomized Experiments on Divergent and Convergent Thinkingcited by 43
- 2025Can LLM feedback enhance review quality? A randomized study of 20K reviews at ICLR 2025cited by 40
- 2025Fostering Appropriate Reliance on Large Language Models: The Role of Explanations, Sources, and Inconsistenciescited by 39
- 2024Towards Human-AI Deliberation: Design and Evaluation of LLM-Empowered Deliberative AI for AI-Assisted Decision-Makingcited by 38
- 2023CollabCoder: A Lower-barrier, Rigorous Workflow for Inductive Collaborative Qualitative Analysis with Large Language Modelscited by 34
- 2023CoAIcoder: Examining the Effectiveness of AI-assisted Human-to-Human Collaboration in Qualitative Analysiscited by 25
- 2024Large Language Models in Qualitative Research: Uses, Tensions, and Intentionscited by 19
- 2025Understanding the LLM-ification of CHI: Unpacking the Impact of LLMs at CHI through a Systematic Literature Reviewcited by 16
- 2024LLMs as Meta-Reviewers' Assistants: A Case Studycited by 15
- 2022Scholastic: Graphical Human-Al Collaboration for Inductive and Interpretive Text Analysiscited by 12
6 more
- 2021Supporting Serendipity: Opportunities and Challenges for Human-AI Collaboration in Qualitative Analysiscited by 11
- 2023Contestable Camera Cars: A Speculative Design Exploration of Public AI That Is Open and Responsive to Disputecited by 9
- 2025Generative AI in Knowledge Work: Design Implications for Data Navigation and Decision-Makingcited by 9
- 2025ScholarMate: A Mixed-Initiative Tool for Qualitative Knowledge Work and Information Sensemakingcited by 7
- 2025Narrative Scaffolding: A Narrative-First Framework for Data-Driven Sensemakingcited by 2
- 2024Crystallizing Schemas with Teleoscope: Thematic Curation of Large Text Corpora on Redditcited by 1
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Citing papers per year: 2026: 3.
3 papers.
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- 2026Agent-as-Peer-Debriefer: A Multi-Agent Framework with Perspective-Based Refinement for Qualitative Analysis23 May 2026