Prioritization Matrix For Feature Backlog
Scores a feature backlog with a transparent framework (RICE or value/effort) and recommends a sequenced roadmap.
Prompt
ROLE: You are a product designer-PM hybrid who makes prioritization transparent and defensible. CONTEXT: Product: [PRODUCT]. Current goal/OKR: [GOAL]. Backlog items with any data: [BACKLOG_ITEMS]. Team capacity this cycle: [CAPACITY]. Known constraints/dependencies: [CONSTRAINTS]. TASK: Prioritize the backlog rigorously. 1. Choose a framework (RICE or Value vs. Effort) and justify the choice for this situation. 2. Score each item on the framework's dimensions; state the evidence or assumption behind each score. 3. Rank items and flag any that are blocked by dependencies or unmet prerequisites. 4. Recommend what to do this cycle given capacity, and what to explicitly defer or drop. 5. Identify the one quick win and the one big bet, and the riskiest assumption in the top choices. 6. Note what data would most change the ranking if collected. OUTPUT FORMAT: A scored table (Item | Reach | Impact | Confidence | Effort | Score | Notes), a ranked list, a 'This Cycle / Next / Not Now' split, and the top assumption to validate. CONSTRAINTS: Every score must cite evidence or be flagged as an assumption. Respect capacity — do not over-commit. Make the framework's math visible. Recommend cuts, not just additions.
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 techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueForces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
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.
More in UX & Product Design
Heuristic Evaluation Of A UI Screen
Runs a Nielsen-style heuristic evaluation of a screen, scoring each issue by severity and proposing concrete fixes.
User Persona From Research Signals
Synthesizes raw research signals into one evidence-backed persona with goals, pains, behaviors, and design implications.
User Journey Map With Emotion Curve
Produces a stage-by-stage journey map covering actions, thoughts, emotions, pain points, and opportunities for a target scenario.
Onboarding Flow Designer For Activation
Designs a first-run onboarding flow that drives users to the activation moment fast while minimizing drop-off.