Prototype case-based practice for specialist training
Combine questions and simulated cases with draft feedback in an educational practice tool.
How this works
Combine questions and simulated cases with draft feedback in an educational practice tool. Use this to prototype case-based practice for a specialist skill using instructor-approved scenarios. The learner should receive feedback against a defined rubric rather than authoritative-sounding advice generated without a validated basis.
Define a fictional case, the information available at each stage and the decisions the learner should practice. Build a small interaction, compare responses with the instructor's rubric and draft explanatory feedback. Qualified educators validate content and limits before any learner use, especially for clinical or other high-stakes subjects.
Before you start
Training objective
Specify the professional skill and learner level.
Validated case material
Use fictional or properly anonymized scenarios with instructor approval.
Assessment rubric
Obtain expected reasoning, acceptable alternatives and critical errors.
Prepare the inputs
- case_definition
- Required
context, facts and staged disclosures
Label the scenario synthetic and avoid real client identifiers.
- learning_objectives
- Required
skills and observable decisions
Keep the prototype within the educational purpose.
- rubric
- Required
criteria, expected evidence and feedback anchors
Do not invent professional standards.
- interaction_scope
- Required
question sequence and learner actions
Define which responses can be evaluated reliably.
Implementation, step by step
Structure the case
- Separate initial facts from information revealed after learner actions.
- Check that the scenario contains enough evidence for the intended decisions.
Checkpoint: The case sequence is internally consistent.
Create practice prompts
- Ask questions that elicit the target skill rather than guess-the-answer trivia.
- Allow relevant alternative approaches where the rubric permits them.
Checkpoint: The interaction matches the learning objective.
Draft feedback rules
- Map responses to rubric criteria and evidence.
- Keep uncertain evaluations visible and avoid presenting generated advice as a real-world instruction.
Checkpoint: Feedback has an instructor-verifiable basis.
Build the prototype
- Implement a small local interaction or structured document using available tools.
- Handle empty answers and unsupported paths without inventing new case facts.
Checkpoint: The prototype can be exercised end to end.
Validate with educators
- Test expected, alternative and incorrect responses with qualified reviewers.
- Correct misleading feedback and state the educational scope before learner access.
Checkpoint: The case is approved or clearly held for revision.
Decisions along the way
Learner proposes a valid alternative
Evaluate it against the rubric rather than exact answer wording.
Response falls outside the rubric
Request instructor review instead of issuing confident judgment.
Case involves a clinical decision
Keep it fictional and require qualified educator validation before use.
What you will produce
specialist-case.json
JSONA versioned instructor-reviewable scenario.
Include: case_facts · stages · questions · rubric · feedback
training-prototype-review.md
MarkdownEvidence of educational validation.
Include: tested_responses · feedback_checks · limits · approval_status
Check the result
- Verify case facts remain consistent across stages.
- Check every feedback claim against the approved rubric.
- Test valid alternatives as well as expected answers.
- Confirm fictional content cannot be mistaken for advice on a real case.
When something goes wrong
Model adds new facts during feedback
Remove the addition and constrain feedback to the case record.
Rubric cannot distinguish response quality
Ask the instructor to refine it before automated evaluation.
Prototype gives harmful or misleading guidance
Withdraw the affected case until qualified review resolves it.
A worked example
SYNTHETIC EXAMPLE · NOT A REPORTED BUSINESS RESULT
Request
Synthetic: practice an equipment-inspection handoff.
Inputs
Case states a sensor reading is missing and the rubric requires documenting uncertainty before escalation. Learner writes 'equipment is safe' without evidence.
Expected result
Synthetic result: feedback identifies the unsupported conclusion and asks the learner to record the missing reading and follow the supplied escalation procedure. It does not diagnose a real machine.
Run a small pilot
Start small
Use one validated fictional case with a small instructor-led group.
Record the baseline
Record feedback corrections and learner misunderstandings.
Agree success criteria
Agree rubric fidelity and educational usefulness before adding cases.
Stop or revise
Stop use when feedback exceeds the case evidence or professional scope.
Keep the scope clear
- The prototype supports education and must not direct real high-stakes professional decisions.
- Qualified instructors remain responsible for case validity and assessment interpretation.
Check before using
For clinical subjects, qualified educators must validate the cases and feedback; keep the tool within its educational scope.
Business activities
- Build and change software
- Deliver courses and training
FROM A RECIPE TO YOUR WORKFLOW
Bring the company context together.
This workflow needs reliable inputs before it needs a better prompt. Moat8 Vault brings working information into a readable archive for the AI tools you use.
For this recipe: Instructor-approved training cases · Answer rubric
Start with one recurring task, agree which sources to use, and review the first result with your team.
Discuss this workflow