Validation loop
MJJ should learn from people without exploiting their stories.
Questionnaires, comments, and community signals should become anonymized themes, evidence needs, and product hypotheses — not public case studies or medical advice.
1. Listen
Collect minimal signals.
Use role, topic, general unmet need, and desired output. Avoid identifiers and detailed personal histories.
2. Translate
Turn stories into themes.
Summarize patterns: evidence gaps, caregiver friction, clinician workflow needs, safety concerns, and product hypotheses.
3. Build
Route to the right queue.
Signals should update the evidence queue, review packets, content calendar, or product prototype backlog.
Boundary: MJJ should not publish raw questionnaire answers, make individualized recommendations, or imply that audience signals prove medical effectiveness.