Query-Based Analysis: A Strategy for Analyzing Qualitative Data Using ChatGPT

Query-based analysis links broad questions, targeted follow-ups and examination of supporting passages under researcher direction. A six-focus-group illustration supports the documented method, not a universal quality, privacy or efficiency guarantee.

L2Research workflow Source Peer-reviewed source Outcome Author-reported

Evidence & verification

Source level

Peer-reviewed source
Grounded in a peer-reviewed publication. This describes the source; it does not mean the reported results have been independently reproduced.

Outcome verification

Author-reported
Outcomes are reported by the team that built the system. The entry is source-checked against the team's own publications; not independently reproduced.

Sources checked

2026-11-01 (UTC)

AI source review of paper-excerpt. Identity/version: primary snapshot matches this queued resource; exact upstream release/byte parity is not generally verified. Source classification is not a correctness or research-benefit guarantee.

Source-checked does not mean independently reproduced. See the Method page for how these labels are assigned.

Sources (1)

Research applicability

Source-documented connected qualitative-analysis method with explicit human judgement and data-checking steps.

Getting started

Editorial untested guidance: read the exact method and limitations, establish consent/data rights and provider terms, and verify outputs against source material. No private upload or tool trial performed.

Maintenance

Source snapshot checked 2026-11-01; ongoing maintenance, installed behavior and current-version parity not generally verified.

License

Consult original licence and data/provider terms; source access is not reuse clearance. No licence/rights audit or installation was performed.

Workflow & human oversight

Scoped L2: Fixed connected process, human orchestrates stages/decisions; no autonomous planning claim Human control/boundary: The text requires researcher familiarity, reflexivity, substantive judgements and checking source material. AI as sole analytic tool does not mean autonomous research.

Workflow level is not an evidence score; higher is not better evidence.

Approach

Source-documented connected qualitative-analysis method with explicit human judgement and data-checking steps. Documented steps: Researcher reads/familiarises with data and asks broad queries; Human-directed specific follow-ups develop and compare candidate subthemes; Researcher examines original supporting passages and retains interpretive decisions

Outcomes (as reported by the originating team)

Illustrative author-reported qualitative case/method findings only; not independent validation or numerical efficacy. No independent reproduction was performed here.

Limitations

Selected primary article excerpts and one illustrative secondary-data example; full protocol not independently audited/reproduced. Training opt-out/anonymisation and temperature statements do not guarantee privacy or accuracy. Current provider terms/settings and model-version parity not verified. No instruction to upload private data.

Reproducibility

Primary-source text was read and preserved with provenance hashes. No candidate code, model, benchmark, data upload or claimed outcome was executed/reproduced.

Adoption requirements

Qualitative research expertise, contextual data familiarity and authorised data handling; contemporary software/account requirements require separate checking.

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