Build a Learning Experience

Step 1 of 6

What outcome should learners achieve?

Start with the business frame — the real-world result, not the syllabus.

Learning goal / business outcome

Examples: Reduce onboarding time for new analysts · Pass compliance audit on data retention · Diagnose common cardiology terms accurately

Step 2 of 6

Primary learning type

Pick the main shape of this experience. You can add overlays in the next step.

📖 Passive Read, watch, optional callouts — no graded proof required ✓ Quiz / assessment MCQ, fill-in-blank, rubric verdicts — medical and compliance ⌨ Hands-on lab Sandbox, code, run and check — Snowflake ML, SQL, Python ◎ Adaptive Mastery nodes, Teach → Test → Adapt — difficulty follows performance ◫ Blended Mix quiz/recall with hands-on apply — concept then practice

Step 3 of 6

Secondary overlays

Optional patterns that stack on top of your primary type.

Retrieval checkpointsRecall before reveal — ask before showing charts or answers Production calloutsExpandable in-production notes — optional, non-blocking Uncertainty and rubric verdictsNamed verdicts and bands instead of scores alone Spaced review (planned)Revisit mastery nodes over time Peer comparison (GRPO-style)Cohort-relative feedback bands

Step 4 of 6

Domain hints

Helps us pick the right starter template and platform defaults.

Technical / dataSnowflake, SQL, Python, ML pipelines MedicalTerminology, clinical vocabulary — quiz-first Compliance / policyGated recall, rubric verdicts, audit-ready Product trainingUI walkthroughs, read-first, optional hands-on

Step 5 of 6

Adaptive path?

When enabled, mastery nodes trigger Teach → Test → Adapt instead of a static linear path.

Enable adaptive calibration for this lab

Step 6 of 6

Evidence gates and review

Require completion before learners can advance?

Require evidence before advance (recall, quiz pass, or sandbox pass)

New experience