Who should use the Create interactive prototypes workflow?
Teams or solo builders working on creativity tasks who want a repeatable process instead of one-off tool experiments.
AI Workflow · Creativity
Practical execution plan for create interactive prototypes with clear steps, mapped tools, and delivery-focused outcomes.
Deliverable outcome
A polished, documented prototype ready for development handoff or stakeholder sign-off
30-90 minutes
Includes setup plus initial result generation
Free to start
You can swap tools by pricing and policy requirements
A polished, documented prototype ready for development handoff or stakeholder sign-off
Use each step output as the input for the next stage
Step map
Instead of relying on a single generic AI model, this pipeline connects specialized tools to maximize quality. First, you'll use Figma to a documented interaction map that guides all prototyping decisions. Then, you pass the output to Figma to a complete set of screen designs with clearly marked interaction zones. Then, you pass the output to Figma to a clickable prototype that simulates the core user flow with transitions. Then, you pass the output to Figma to a prototype with polished, realistic feedback that mimics a live app. Then, you pass the output to Botpress to a prototype that responds to natural language inputs from an ai character. Then, you pass the output to Lancey to a validated prototype refined through real user feedback. Finally, Figma is used to a polished, documented prototype ready for development handoff or stakeholder sign-off.
Define prototype scope and interaction model
A documented interaction map that guides all prototyping decisions
Design static screens and assets
A complete set of screen designs with clearly marked interaction zones
Wire interactions in prototyping tool
A clickable prototype that simulates the core user flow with transitions
Add micro-interactions and feedback
A prototype with polished, realistic feedback that mimics a live app
Integrate AI character interactions (optional)
A prototype that responds to natural language inputs from an AI character
Test and iterate with users
A validated prototype refined through real user feedback
Export and handoff for development
A polished, documented prototype ready for development handoff or stakeholder sign-off
Start by clarifying the purpose of the prototype: what user journey or feature are you testing? Sketch a simple interaction flow diagram (e.g., on paper or Miro) showing screens, triggers, and possible user choices. This prevents scope creep and ensures every subsequent step serves a clear goal.
Why Figma: Figma supports whiteboarding, sticky notes, and collaborative brainstorming, making it ideal for defining prototype scope and interaction models.
Create high-fidelity or low-fidelity visual designs for each screen in your interaction map. Use a design tool like Figma or Sketch to produce consistent UI elements, then export assets (PNG, SVG) or keep them as linked components. For low-fi, a simple wireframe tool like Balsamiq works. Ensure each screen has clear hotspots or clickable areas marked.
Why Figma: Figma is a leading tool for UI/UX design, wireframing, and creating static screens and assets.
Import your static screens into a prototyping tool (e.g., Figma Prototype mode, Axure, or ProtoPie). Connect hotspots to target screens, set transition animations (e.g., slide, fade), and define conditional logic if needed (e.g., 'if user selects option A, go to screen 3'). Test each link immediately to catch broken flows.
Why Figma: Figma excels at interactive prototyping, allowing you to wire interactions between screens effectively.
Enhance realism by adding micro-interactions: hover states, button press effects, loading spinners, or error messages. Use the prototyping tool's built-in animation features or a dedicated tool like Principle or After Effects (for video export). These details make the prototype feel responsive and help stakeholders imagine the final product.
Why Figma: Figma's Smart Animate feature enables adding micro-interactions and feedback directly within the prototyping tool.
If your prototype includes conversational AI characters (e.g., a chatbot or virtual assistant), connect the prototype to a no-code AI platform like Voiceflow, Botpress, or Google Dialogflow. Map user text/voice inputs to prototype screen transitions or responses. This step is optional and only needed when the prototype must simulate AI-driven dialogue.
Why Botpress: Botpress is designed for building conversational AI and chatbots, ideal for integrating AI character interactions.
Share the prototype link with 3-5 target users or stakeholders. Observe them performing the core task without guidance; note where they hesitate, click incorrectly, or express confusion. Collect feedback via a short survey or recorded session. Use insights to refine the interaction flow, then update the prototype and retest.
Why Lancey: Lancey offers interactive product tours and AI-driven demo personalization, useful for testing and iterating with users.
Finalize the prototype by cleaning up unused screens, ensuring all links work, and adding annotations for developers (e.g., spacing, behavior specs). Export the prototype as a shareable link (e.g., Figma prototype URL) or as a video walkthrough. Include a brief document summarizing key interactions, edge cases, and design rationale.
Why Figma: Figma allows exporting designs and assets, and supports handoff via developer mode or plugins like Zeplin.
§ Before you start
Teams or solo builders working on creativity tasks who want a repeatable process instead of one-off tool experiments.
No. Start with the top pick for each step, then replace tools only if they do not fit your pricing, compliance, or output needs.
Open the mapped task page and compare top options side by side. Prioritize output quality, integration fit, and predictable cost before scaling.
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