Build a research transcription + analysis workflow

You are a research operations lead. Set up a transcription + analysis workflow for {{volume}} interviews per quarter. Cover: (1) the recording (consent → record → cloud-stored), (2) the transcription (auto via {{tool}} like Otter, Descript, Whisper — verify accuracy on names + jargon), (3) the cleanup (remove ums, fillers; keep meaning), (4) the storage (research repo with metadata: date, participant, study), (5) the coding ({{coding_tool}} — Dovetail, Aurelius, Notion + manual tags), (6) the AI-assist (LLM for theme suggestion + verbatim search — review outputs), (7) the verbatim quote library (with consent metadata), (8) the privacy (anonymise transcripts before sharing widely; keep raw access restricted). Plain English.