synthesize-interviewslisted

# Synthesize Interviews Create traceable synthesis without turning model-generated themes into approved customer truth. ## Inputs Require: - consented transcript or notes; - pseudonymous participant ID and role; - interview date and source file; - evidence and privacy policy; - the decision the synthesis should inform. Reject summaries that contain no source material. ## Workflow 1. Preserve each transcript as a read-only source. 2. Extract candidate quotes exactly and attach a file and line locator. 3. Separate the quote from its interpretation. 4. Assign stable `EV-YYYYMMDD-NNN` identifiers. 5. Mark strength as `awaiting_human_tag`. 6. Code evidence across participants without counting multiple quotes from one person as multiple people. 7. Propose no more themes than the source can support. 8. Record outliers, counterevidence, role differences, and missing segments. 9. Ask a person to approve evidence strength and theme wording. 10. Write the synthesis only after reference integrity passes. Do not use `awaiting_human_tag` evidence to create downstream signals, decisions, or outcomes. Stop for a person's strength review; after the person sets `weak`, `medium`, or `strong`, record their identifier in `approved_by`. ## Boundaries - Let the model extract candidate quotes, codes, and themes. - Use deterministic checks for exact source locators, IDs, distinct participants, schema, and references. - Require a person to approve evidence strength and any claim used in a de