AI feature prioritization assistant
Prioritize what matters—then prototype it. This AI feature prioritization assistant helps product managers turn ideas into ranked features and interactive prototypes in minutes, so teams can align faster and build with confidence.
Prioritize features with AI
Rank what matters most
Describe your product goals, constraints, and user needs. The AI feature prioritization assistant scores and organizes features into a clear, actionable order.
Turn priorities into prototypes
Instantly transform top-ranked features into interactive flows. Validate assumptions with something teams can see and test—not just read about.
Align without the PRD overload
Capture product logic, edge cases, and trade-offs in prompts. Replace lengthy documentation with shared, testable direction.
Iterate on impact and effort
Adjust scoring models, reweight criteria, or simulate new inputs. Explore “what if” scenarios in minutes, not meetings.
Built by real teams.
See how makers, designers, and PMs are using Figma Make to build no-code web apps—from internal tools to product MVPs.
- Jacques Debeuneure Jr.
- Daniela Muntyan
- kishoree04u
- Seungmee Lee
How to use an AI feature prioritization assistant in Figma
Start with a clear prompt that outlines your objective, audience, and constraints.
Example prompt:“Prioritize features for a B2B analytics dashboard focused on reducing churn. Consider impact on retention, engineering effort, and dependency risk.”
Use the AI feature prioritization assistant to score features using a framework like RICE (Reach, Impact, Confidence, Effort) or your own custom criteria.
Example prompt: “Rank these features using RICE and flag any high-effort, low-impact items.”
Select the highest-priority features and prompt Figma to generate interactive user flows or prototypes.
Example prompt: “Create a clickable prototype for the top two features, including empty states and error handling.”
FAQs
An AI feature prioritization assistant helps product managers rank and evaluate features using structured frameworks and natural language prompts. In Figma, it can turn ranked ideas into interactive prototypes for faster validation.
It uses inputs like impact, effort, reach, confidence, dependencies, and business goals. Product managers can apply common frameworks such as RICE or define custom scoring models, then adjust weights as priorities shift.
Yes. After ranking features, Figma can generate interactive flows and prototypes based on top selections. These prototypes are editable and can be refined visually or with additional prompts.
Yes. Teams can use their existing Figma libraries and components to ensure prioritized features are prototyped with on-brand, production-ready elements.
Absolutely. Stakeholders can review ranked features, explore interactive prototypes, and provide feedback directly in Figma. This creates shared understanding and reduces misalignment before development begins.
Yes, you can publish a Figma Make app.
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