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FieldNotes
€9.99Starting price
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About FieldNotes
FieldNotes is a browser-based tool designed for qualitative researchers who need to code interview transcripts systematically. It automates the application of a predefined codebook across transcripts while keeping the researcher in control of every decision. Users upload transcripts in common formats, and the system segments them into speaker turns automatically. A large language model then proposes codes from the user’s codebook for each excerpt, allowing the researcher to approve, merge, or reject suggestions. Each decision is logged to create a full audit trail suitable for methods sections. The platform supports iterative codebook refinement, saturation tracking, and the addition of field notes and memos. Exports provide structured spreadsheets including codebook definitions, coded excerpts with speaker attribution, and a complete decision history. FieldNotes emphasizes transparency by archiving prompts and acceptance rates for each AI run, aligning with emerging AI-reporting standards in qualitative research.
Key features
- Deductive AI coding from user-defined codebook
- Living codebook with rename, merge, and definition tracking
- Codebook saturation tracking with empirical signals
- Field notes and memos with timestamps and search
- One-click XLSX export with codebook, excerpts, and audit trail
- Team workspaces with role-based access control
- AI audit page with prompts, acceptance rates, and model details
- Automatic speaker turn segmentation in transcripts
Use cases
- Coding interview transcripts for qualitative health research
- Systematic analysis of focus group discussions
- Documenting and auditing coding decisions for academic publications
Pros
- Browser-based with no installation required
- EU-hosted and GDPR-compliant
- Human-in-the-loop review for every AI suggestion
- Full audit trail for methods documentation
- Supports team collaboration with role-based access
Cons
- No free tier beyond the 7-day trial
- Limited to qualitative coding workflows
- Requires EU hosting for data residency
Frequently asked questions about FieldNotes
What is FieldNotes and what does it do?
FieldNotes is a browser-based qualitative coding tool that applies a predefined codebook to interview transcripts using a large language model. It segments transcripts into speaker turns, proposes codes from the user’s codebook for each excerpt, and allows the researcher to approve, merge, or reject suggestions while maintaining a full audit trail.
Who is FieldNotes designed for?
FieldNotes is built for qualitative researchers, including academic researchers, PhD students, postdocs, and principal investigators conducting interview-based studies. It is also useful for teams needing collaborative coding and transparent AI-assisted analysis.
How does FieldNotes handle data privacy and compliance?
FieldNotes is GDPR-compliant and hosted in the EU, ensuring data is processed and stored within EU jurisdictions. User data is never used to train AI models, and all processing is designed to meet research transparency standards.
Can FieldNotes help with codebook refinement and saturation tracking?
Yes, FieldNotes supports iterative codebook refinement by allowing users to rename codes, merge duplicates, and track definitions. It also includes saturation tracking to help determine when to stop coding based on empirical signals of new versus reused codes.
What formats does FieldNotes support for transcript uploads?
FieldNotes accepts transcripts in common formats such as .txt, .md, .docx, and .pdf. The tool automatically segments uploaded transcripts into speaker turns for coding.
Does FieldNotes provide an audit trail for AI-assisted coding decisions?
Yes, every AI proposal, approval, merge, or rejection is logged, creating a full audit trail suitable for methods sections. The platform also archives prompts and acceptance rates for each AI run to meet AI-reporting standards.
