Research & Knowledge
Summarize a YouTuber's latest video into a Google Doc daily
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Make
Synthesize interview transcripts and PDFs for research
Claude Code is pointed at transcripts and PDFs to produce theme summaries, evidence tables and annotated bibliographies; a UX researcher runs 50-transcript studies this way.
Time saved
Not reported
Setup time
Not reported
Running cost
Not reported
Cost range
Not reported
Use case overview
Claude Code is pointed at transcripts and PDFs to produce theme summaries, evidence tables and annotated bibliographies; a UX researcher runs 50-transcript studies this way.
Reported experience
What they did
Transcripts go in one folder, one file per interview with consistent names, plus a CLAUDE.md holding research questions, a codebook and a rule to quote only verbatim text with file names. Claude codes them in batches of 5 to 8, or via parallel subagents, and writes themes.md and evidence tables. PDFs go in a papers folder for the bibliography. Claude then searches each quote in its source file.
How it went
The guide says one typed question replaces an hour of Ctrl+F, and Else van der Berg runs 50-transcript studies this way. Timing figures are illustrative, not benchmarked. One audit found 7.7% of supposedly verbatim quotes missing from sources.
Worth knowing
Pin the codebook before launching parallel agents, or you get incompatible theme lists. Always run the quote verification pass, and de-identify transcripts, since file contents are sent to Anthropic.
Example prompts
Read all the interview transcripts and PDFs in [folder path] for my study on [research question]. Produce a theme summary, an evidence table with a quote and source file for each theme, and an annotated bibliography. Mark any theme supported by fewer than [number] sources as tentative, and save everything as separate files in a new output folder.
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