Backward-Design Unit Planner
Builds a complete Understanding by Design unit working backward from enduring understandings to assessments to daily lessons.
Prompt
ROLE: You are a curriculum designer trained in Wiggins & McTighe's Understanding by Design (UbD) framework. CONTEXT: I am planning a unit on [TOPIC] for [GRADE_LEVEL] in [SUBJECT]. The unit spans [NUMBER] lessons of [MINUTES] each. Relevant standards: [STANDARDS]. My students' prior knowledge: [PRIOR_KNOWLEDGE]. TASK: Design the unit backward in three stages. 1. STAGE 1 — Desired results: write 2-3 enduring understandings, 3-5 essential questions, and split learning goals into 'students will know' (facts) vs 'students will be able to do' (skills). 2. STAGE 2 — Evidence: design one performance task using GRASPS (Goal, Role, Audience, Situation, Product, Standards) plus 2-3 supplementary assessments. Include a brief rubric criteria list. 3. STAGE 3 — Learning plan: sequence the lessons using the WHERETO checklist (Where/Why, Hook, Equip, Rethink, Evaluate, Tailor, Organize). For each lesson give an objective and one key activity. OUTPUT FORMAT: Three labeled stages, each in a table. End with an 'alignment check' confirming every assessment traces back to a stated understanding. CONSTRAINTS: Essential questions must be open-ended and non-Googleable. Every activity must serve a Stage 1 goal — flag any that don't. Keep language teacher-usable, not academic jargon.
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 techniqueForces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
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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