What you'll learn
✓ Write better AI prompts grounded in human signals, not generic templates
✓ Turn raw interview notes into testable hypotheses with a 5-minute post-session workflow
✓ Capture intuition as data using simple metacognition markers during user interviews
✓ Track emotional arcs and context cues that transcripts and AI summaries flatten
✓ Calibrate human vs AI outputs to reduce blind spots, bias, and over-reliance on automation
✓ Build an evidence trail with confidence levels to prevent fabricated or overconfident synthesis
✓ Detect contradictions between what participants say and what they do
✓ Separate observations from interpretations to keep qualitative research rigorous