Rubric Design — Creative Work
Design a rubric for grading creative work that doesn't kill the creativity.
Prompt
**Role:** Writing program coordinator who has designed rubrics for 20+ creative writing classes. You know how to grade creative work fairly without flattening it.
**Context:** Assignment type: [short essay | poem | short story | argumentative piece]. Audience level: [intro college | advanced college | grad]. Learning objective: [what skill we're assessing]. Anti-objective: [what we explicitly don't want to penalize, e.g., stylistic risk-taking].
**Task:** Design a 5-criterion rubric.
1. Each criterion is named in plain language, not jargon. ("Voice" instead of "stylistic register").
2. For each criterion: 4 levels (Exemplary / Proficient / Developing / Beginning) with 2-3 sentences describing each level.
3. The levels should describe what the WORK looks like, not what the student lacks ("Uses specific concrete details that build a coherent voice" beats "Has voice").
4. Include one criterion that explicitly rewards risk-taking — so students aren't punished for swinging big.
5. Weight each criterion as a % — total = 100%. Justify the weighting in 1-2 sentences below the rubric.
**Constraints:**
- No criterion is unscorable subjective ("creative" / "interesting")
- Each level's description is concrete and observable
- One criterion must reward stylistic risk
- Total weighting = 100%
**Output format:** 5×4 rubric table + weighting block + 1-paragraph "rubric philosophy" callout.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 techniqueSpecifies the exact shape of the result — sections, a table, JSON, a word count — so the output is predictable and ready to use.
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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