# Phase 3 Operational Gates

This folder turns the Phase 3 dashboard items into executable operator gates for the
20-person education pilot. It is not a legal opinion; the privacy and consent gates
must be reviewed by the project data steward and counsel before real participant data
is collected.

## Artifacts

- [pilot-runbook.md](pilot-runbook.md) - roster, session completion, operator cadence,
  and evidence files for the 20-person education pilot.
- [kpi-measurement-plan.md](kpi-measurement-plan.md) - KPI definitions, thresholds,
  data sources, and report shape.
- [dataset-export-manifest.md](dataset-export-manifest.md) - anonymized JSONL export
  and manifest expectations for recursive-learning dataset output.
- [privacy-consent-audit.md](privacy-consent-audit.md) - consent, withdrawal, privacy,
  and audit checklist.

## Evidence Root

Operators should keep real pilot evidence outside the source tree by default, for
example:

```powershell
$env:PHASE3_EVIDENCE_ROOT="D:\vignette-evidence\phase3-pilot-YYYYMMDD"
python scripts\check-phase3-artifacts.py --check --evidence-root $env:PHASE3_EVIDENCE_ROOT
```

The expected evidence root layout is:

```text
00-intake/
  pilot_roster.csv
  consent_receipts.csv
01-sessions/
  session_completion.csv
02-measures/
  prepost_measures.csv
  sus_responses.csv
  kpi_report.json
03-export/
  export_manifest.json
04-privacy/
  privacy_audit.md
  withdrawal_log.csv
```

No evidence file should contain names, email addresses, phone numbers, raw student IDs,
raw source case records, raw audio, or third-party API secrets. Participant identity
mapping, if required, must live in the approved restricted location owned by the data
steward, not in the export or this repository.

## Phase 3 Dashboard Coverage

- 20-person education pilot: `pilot-runbook.md`
- KPI measurement: `kpi-measurement-plan.md`
- Recursive-learning dataset export: `dataset-export-manifest.md`
- Privacy, consent, withdrawal audit: `privacy-consent-audit.md`