A designer is working on a connected car interface. The prototype needs to respond to voice commands, react to a swipe on a touchscreen, show different states based on speed and run on an actual in-car display. A static click-through will not prove whether any of this feels right. Another designer, working on a standard mobile app, only needs screens linked together with smooth transitions so her team can review the flow.

Both designers need prototypes, but not the same kind. ProtoPie and Figma take different approaches to prototyping, and the right choice depends on what you need to test. This guide compares them across interactions, logic, device testing, collaboration, handoff and pricing, so you can pick with confidence.

ProtoPie vs Figma Prototyping: A Quick Overview

Figma is a collaborative design platform with built-in prototyping, including Smart Animate, overlays, variables and conditional logic. ProtoPie is a dedicated prototyping tool designed for high-fidelity, interaction-rich prototypes, including those that respond to device sensors, voice and external hardware.

Features, pricing and product names change often, so confirm current details on each tool’s website before deciding.

Interaction and Logic Capabilities

Figma prototyping

Figma offers triggers such as click, drag, hover and key press, plus Smart Animate, overlays, scrolling, variables and conditional logic. This covers most everyday needs, including toggles, tabs, carousels, simple forms and cart updates.

ProtoPie

ProtoPie works with triggers, responses and conditions, and supports more advanced interaction patterns such as multi-step gestures, chained conditions, variables and formulas. It is known for prototypes that feel close to real software.

Verdict: Figma handles standard flows well, while ProtoPie shines when interactions are complex, layered or highly realistic.

Sensors, Voice and Hardware

This is one of ProtoPie’s most distinctive advantages. It can respond to device inputs such as tilt, sound, camera and other sensor data, and it can connect with external hardware or other devices in some setups. That makes it popular for mobile experiences, wearables, voice interfaces, automotive systems and connected products.

Figma prototypes mainly respond to on-screen interactions and keyboard input, so testing sensor-based or multimodal experiences is much harder.

Verdict: if your product depends on sensors, voice or hardware, ProtoPie has a clear edge.

Design Creation and Workflow

Figma is a complete design environment, so you can design, build components, prototype and share in one place. ProtoPie is typically used after designs exist elsewhere, importing screens from tools such as Figma or Sketch and adding interactions there.

Keeping design and prototype in sync is a real consideration. If the design changes frequently, a single-tool workflow reduces rework.

Device Testing and Realism

Figma offers a mobile app for previewing prototypes on phones, which is enough for many usability tests. ProtoPie provides dedicated apps and runtime environments to test prototypes on real devices with realistic performance and device features, which helps when feel, timing and sensor responses matter.

Verdict: for realistic on-device behavior, ProtoPie usually feels closer to a working app.

Collaboration and Sharing

Figma’s real-time collaboration is a major strength. Multiple people can edit the same file, comment directly and share prototype links that open in a browser. ProtoPie supports sharing prototypes and team collaboration features, but stakeholders may need to use ProtoPie’s apps or viewers to experience the full interactions.

Verdict: Figma is easier for broad stakeholder involvement, while ProtoPie suits focused design and testing teams.

Developer Handoff

Figma’s Dev Mode and inspection tools help developers see styles, spacing and assets. ProtoPie can help communicate interaction behavior, timing and logic to developers, which is useful for complex interactions that static specs struggle to explain. Many teams use Figma for visual handoff and ProtoPie to demonstrate behavior.

Learning Curve

Figma is quick for designers to learn, and most teams are already familiar with it. ProtoPie’s basic features are approachable, but mastering conditions, variables and sensor interactions takes more time. Plan training if you expect to build complex prototypes.

Pricing and Value

Pricing models differ and change over time, so check official pages. Consider these factors:

If you already pay for Figma, adding ProtoPie increases the cost, so weigh it against the value of more realistic testing.

Who Should Choose Figma Prototyping?

• Teams building standard apps and websites where flows and transitions matter most.
• Organizations wanting a single tool for design, prototyping and handoff.
• Teams with many stakeholders who need easy access through the browser.
• Early-stage exploration, when speed matters more than perfect realism.

Who Should Choose ProtoPie?

• Teams building sensor-rich or multimodal products, such as voice, wearables and automotive interfaces.
• Designers who need realistic motion, timing and gestures for usability tests.
• Organizations testing high-stakes interactions before expensive development.
• Advanced prototypers comfortable with logic and variables.

Using ProtoPie and Figma Together

Many teams combine them. Designers build screens and components in Figma, import them into ProtoPie to add advanced interactions and then test on real devices.

A collaborative design thinking workshop can help teams decide which interactions are worth prototyping in detail and which need only a simple click-through.

Alternatives Worth Considering

Alternative products change quickly, so check current features and availability.

Common Mistakes When Choosing a Prototyping Tool

Prototypes Are Only as Good as the Questions They Answer

Realistic prototypes are useful when they test the right things. UX research helps you decide what to prototype, who to test with and how to interpret the results, so effort goes into learning rather than polish.

ProtoPie vs Figma Decision Checklist

• What exactly do you need the prototype to prove?
• Does your product use sensors, voice, gestures or hardware?
• How complex are your interactions and logic?
• Do you need a single tool or are you comfortable with two?
• Who needs to review the prototype, and how will they access it?
• Have you checked current pricing and training needs?
• Have you tested both tools on a real, representative flow?
• Do you have a plan for user testing and developer handoff?

Getting Started

You do not need to commit to a tool in the abstract. Pick one interaction that carries real risk, prototype it in Figma first and then in ProtoPie, and compare how convincing each result feels in testing. If you want expert help turning research and prototypes into polished, usable products, a specialist team offering UI/UX design services can help you move faster with less risk.

Final Thoughts

Figma and ProtoPie serve different needs. Figma offers a fast, collaborative path from design to a convincing click-through, while ProtoPie offers depth, realism and device-level interaction for complex experiences. Many teams use both, matching the tool to the question. Decide what you need to learn, choose the simplest tool that gives credible answers and always validate with real users.

FAQs

Is ProtoPie better than Figma for prototyping?

For complex, sensor-rich or highly realistic interactions, ProtoPie is often stronger. For standard app flows and collaboration, Figma is usually faster and simpler.

Can ProtoPie replace Figma?

Not usually. ProtoPie focuses on prototyping and typically imports designs from tools like Figma, so most teams use them together rather than choosing one.

Can Figma prototypes respond to voice or sensors?

Figma is mainly designed for on-screen and keyboard interactions, so sensor and voice-based behavior is much easier to simulate in a dedicated tool such as ProtoPie.

Is ProtoPie hard to learn?

Basic interactions are approachable, but advanced logic, variables and sensor features take more time. Planning some training helps teams get the most from it.