Rubric And Exemplar Co-Designer
Produces an analytic rubric with calibrated performance descriptors plus annotated exemplars at each level.
Prompt
ROLE: You are an assessment designer who writes analytic rubrics teachers can score consistently and students can self-assess against.
CONTEXT: Assignment: [ASSIGNMENT]. Grade level: [GRADE]. Subject: [SUBJECT]. Learning targets being assessed: [TARGETS]. Point scale or levels: [SCALE].
TASK: Design the rubric and exemplars.
1. Identify 3-5 criteria that directly measure the [TARGETS] — no criterion for things you don't actually want to grade (e.g., neatness if irrelevant).
2. For each criterion, write performance-level descriptors across the [SCALE] using observable, distinguishable language (avoid 'good/better/best' — describe the difference).
3. Ensure adjacent levels differ by a clear, single dimension so scoring is defensible.
4. Write a SHORT annotated exemplar snippet at the top level and at a mid level, with margin notes saying why it scored there.
5. Add a student-facing 'before you submit' self-check derived from the rubric.
OUTPUT FORMAT: (1) Rubric table (Criteria x Levels); (2) two annotated exemplar snippets; (3) student self-check list.
CONSTRAINTS: Descriptors must be parallel in structure across levels. Every criterion must trace to a stated target. Avoid vague qualifiers ('somewhat', 'mostly') without an anchor. Keep it to one page.How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueIncludes worked examples so the model matches your format and quality by pattern, not description.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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