Coding & Development
fieldNotes
2h agoFieldNotes is an AI‑assisted qualitative coding software that lets researchers upload interview transcripts (TXT, MD, DOCX, PDF) and automatically proposes codes drawn from a user‑defined codebook. Users retain full scientific control by approving, merging, or rejecting each suggestion, with every decision recorded for audit trails and methods documentation. Features include living codebooks, saturation tracking, searchable memos, XLSX export, team workspaces with role‑based access, GDPR‑compliant EU hosting, and transparent AI audit pages.
Transcript Upload and SegmentationDeductive AI CodingHuman‑in‑the‑Loop ReviewLiving Codebook ManagementSaturation TrackingExport and ReportingCollaboration WorkspaceAI Audit PageGDPR‑Compliant EU HostingBrowser‑Based Interface
Key Capabilities
01
Transcript Upload and Segmentation
Upload transcripts in common formats; the system automatically segments them into speaker turns.
02
Deductive AI Coding
A large language model proposes codes based on the user’s predefined codebook, ensuring consistent application across transcripts.
03
Human‑in‑the‑Loop Review
Researchers approve, merge, or reject each AI proposal, with all actions logged for full auditability.
04
Living Codebook Management
Edit, rename, merge, and track code definitions as coding progresses.
05
Saturation Tracking
Monitors the ratio of new versus reused codes to signal theoretical saturation.
06
Export and Reporting
One‑click export to XLSX including codebook definitions, coded excerpts, speaker attribution, and decision audit trails.
07
Collaboration Workspace
Shared projects with role‑based access for multiple coders and organizational management.
08
AI Audit Page
Records prompts sent to the model and shows acceptance, merge, and rejection rates per run.
09
GDPR‑Compliant EU Hosting
Data is stored within the EU and complies with GDPR regulations.
10
Browser‑Based Interface
No installation needed; the tool runs entirely in the web browser.
Use Cases
Academic Qualitative ResearchResearchers can efficiently code interview data while maintaining methodological rigor for theses and journal articles.University scholars, graduate students, and academic researchers
Market Research ProjectsTeams analyze consumer interview transcripts, track code saturation, and collaborate in real‑time to deliver actionable insights.Market research analysts and agency teams
Social Science StudiesFacilitates longitudinal coding of focus groups, with audit trails and exportable data for transparent reporting.Social scientists and policy researchers
Corporate Employee Feedback AnalysisHR departments code employee interview data to identify workplace pressures, maintaining confidentiality and compliance.Corporate HR and organizational development professionals
Update History
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