Your prototype is finished. The interactions are polished, the logic is tight. But there's only one way to know if your design actually works: put it in front of real users and watch what happens.

Until now, that meant leaving ProtoPie, uploading your prototype to a third-party platform, hoping the fidelity survived the export, and piecing together results from a tool never built for high-complexity prototypes.

ProtoPie User Testing is now available for purchase for Pro (annual) and Enterprise users, and for a limited time, you get unlimited testing sessions. 

 is a secured, high-fidelity research environment built directly into your prototyping workflow. You set a goal, invite a participant, and observe how they interact with your prototype in real time, and watch instant replays immediately after, without exporting, without losing your interaction logic, and without switching tools.

After a limited early access period with select Enterprise customers starting February 2026, it's 

now open to all Pro (annual) and Enterprise teams.

When the session ends, you don't sit through a long, unstructured screen recording. Within 60 seconds you get 3 things: a 

that tracks every technical trigger and response that happened during the test.

Don’t Just See Where They Clicked. See How They Behaved

Most testing platforms track clicks and generate heatmaps. That works for simple web flows. It breaks down for the kind of complex, high-fidelity prototypes ProtoPie is built for.

ProtoPie User Testing captures the full interaction picture:

Long presses, swipes, multi-finger gestures

via ProtoPie Player (iOS, iPadOS, and Android)

If it’s in the Pie, it’s in the log. Every interaction is timestamped and captured, giving you evidence, not assumptions.

3 Task Types to Match Your Research Goals

ProtoPie User Testing supports 3 task types, each designed for a different research question:

: The participant follows a specific interaction sequence you define. Use this to validate efficiency: 

does the user find the right flow, and how quickly?

 Results include a path match score showing how closely they followed your intended sequence.

: The participant succeeds by arriving at a target scene, regardless of route. Best for open-ended tests: 

can users reach the outcome, even via an unexpected path?

: No success criteria. Users move freely through the prototype while ProtoPie maps the paths taken, time spent, and most common first actions, revealing where attention naturally goes.

Testing shouldn't be a solo activity. User Testing is built for the whole team, but only people running tests need a paid seat.

 must be ProtoPie Studio Editors, and the Moderator seat is what unlocks the full testing workflow: creating test rooms, running live sessions, and bookmarking key moments as 

, shareable clips useful for surfacing friction points or unexpected behavior without sitting through a full replay. Moderators can also export the full interaction data as CSV for deeper analysis when needed.

The rest of the team (designers, developers, stakeholders) can join as 

, watching sessions live without needing a paid seat. Access can be scoped to your whole organization or specific teams spaces.

Results and replays are available immediately after each session, so Moderators and ProtoPie Studio Editors can review key moments without waiting for a summary to land in their inbox. Fewer internal debates. Faster alignment. Better decisions across teams.

No Export. No Context Switching. No Data Loss.

The most underappreciated cost in user research isn't the tool, it's the switching. Exporting a prototype. Rebuilding context in another platform. Translating results back into something actionable.

ProtoPie User Testing removes every one of those steps. 

You build in ProtoPie, test in ProtoPie, and your results live in ProtoPie

. Moderators can export results as CSV for deeper analysis when needed. And if you’re already using 

 to build complex interactions, you can move directly from prototype setup into live user testing without missing a beat.

Register for one of our upcoming sessions to see a live demo of this seamless process and learn how to turn your testing data into design wins.

A Walled Garden For Your Most Sensitive Work

Most testing platforms require your prototype to be publicly accessible. For teams working on sensitive product designs, fintech, healthcare, automotive, enterprise software, that’s not an option.

ProtoPie User Testing runs inside a closed-loop environment. Every participant link is 

, keeping your most sensitive work secure throughout the entire test.

ProtoPie User Testing is available now for 

, the ideal time to run the research you've been putting off, without worrying about hitting a cap.

This offer won’t last. Add User Testing to your plan today.

Ready To See Your Design Through Your Users’ Eyes?

Set up your first test room in ProtoPie Cloud today. No exports, no context switching, just clear data on how real users interact with your prototypes.

Test prototypes, capture micro-interactions, and get automated results inside ProtoPie. Now available for Pro and Enterprise users.

User Testing Built Into Your Workflow

The Challenge of Achieving Realism Like the Final Branded Product

Simulating Realistic Money Transfers in ProtoPie

How a Simulated Money Transfer Works in ProtoPie

Creating a Smooth User Journey for Money Transfers

The Moment of Truth: Simulating Money Transfers With Full Realism in ProtoPie Player

Start Simulating Your Realistic Fintech App Prototypes With Real-World Banking Actions

The Complete ProtoPie Ecosystem: All on the Pro Plan

When fintech app designers validate their 

, simulating actions like transferring money is nearly impossible without a high-fidelity tool that supports it. And the worst part? Almost no tool lets designers test prototypes with real-world scenarios like this.

 needs to evolve—from “looks right” to “behaves right.”

Testing is always complex, so product designers often stick to simpler scenarios in user sessions, with no realism at all.

The result is less visibility and clarity among internal stakeholders about 

Figma looks great, and vibe coding gets you there fast, but neither delivers the level of realism you need to validate your design under 

One action that is both basic and essential is 

. How do you test this action to ensure it reflects exactly what a real user would experience? 

Simple: ProtoPie’s ecosystem for high-fidelity prototyping delivers full realism, allowing you to test 

 with the same level of detail as if you had the final product in your hands.

In fintech, "User Experience" is synonymous with "Trust."

A static screen can’t replicate the emotional weight of a real banking action. That’s how you get false positives in UX research: designs that “look good” in testing but don’t “feel safe” in the real world.

For example: you have $100 in your account, transfer $10, and have $90 remaining. That kind of “feel-it-on-your-phone” realism is the bar for 

You might think you'll need to fake it with static images or frames, right?

Not at all. ProtoPie lets you build and test this directly on your phone in a fully interactive way.

When using Figma, for example, "$100" is just a text label. In ProtoPie, you create a 

ProtoPie’s formula engine, think Excel, but for prototypes, runs the calculation the moment the user hits “Transfer”:

 makes the prototype real, helping you test it under different circumstances and even test edge cases.

Traditional design tools often fail in fintech because they lack support for 

, forcing designers to create "fake frames" for different journeys.

, the prototype has to react to real inputs (numbers, states, conditions), not just display them.

ProtoPie allows you to replace static text labels with 

text input options, making your typing interactions as dynamic as possible

), enabling users to type numbers and see the logic, like a balance update, calculated in real-time.

To make the change visible on the phone, you use a sequence of interactive building blocks:

 variable by subtracting the transfer amount.

 Refreshes the on-screen value automatically.

Simulating just a money transfer alone isn't enough. In real life, a user goes through an entire journey before completing the action of sending money. That same flow should be replicated within a designer's prototype to ensure accurate testing and validation.

," they have already moved through several steps: selecting a recipient, entering an amount, reviewing transaction details, confirming security checks, and finally executing the transfer. Each step adds interactions, micro-decisions, and potential 

With so many conditions and possible routes a user can take to complete a transfer, how do you ensure the journey feels 

What happens if they enter an amount greater than their balance?

How does the interface respond to a failed Face ID attempt?

What feedback does the user receive if the network connection drops mid-transaction?

, you can test every edge case, so you are never left in the dark. 

You get full visibility into every step until the real-world banking action is complete.

Once you’ve finished creating your interactions in ProtoPie Studio, you have two other powerful testing environments: 

experience the prototype in ProtoPie Player

, designers can send a link to stakeholders that works in any browser. With 

, designers can test the prototype on their own devices, so they understand what the final product will look like across every scenario, with no faking needed.

 fall short when it comes to validation in real environments, yours can deliver full realism, with interactive logic that 

 lets you experience your prototype exactly as the final product will look and feel.

, you can leverage ProtoPie's complete ecosystem to create and test real-world banking actions in your prototype.

Choose a ready-to-use template, open it, click the prototype file name, and select ‘

’ to open the prototype on your desktop and explore the interactions.

Achieve high-fidelity fintech prototyping with ProtoPie. Move beyond static frames to create a banking app UX that simulates real money transfers and logic.

Simulating Money Transfers for Fintech Prototyping

Most prototype login screens are a shortcut. You tap a button, the screen changes, and everyone agrees to pretend the credentials mattered. The problem isn't aesthetics — i

t's that a faked login produces faked feedback.

 When test participants know the interaction isn't real, their behavior shifts and the data you collect shifts with it.

Conditional logic that validates actual credentials

The result is a login flow indistinguishable from a shipped product, built entirely in ProtoPie, no code required.

Prefer to learn by watching? The full tutorial video walks you through every step in real time.

More of a read-and-execute type? Use both, the video for context, this guide for the steps you'll want to revisit.

Your login UI imported from Figma or preferred UI tool

A Lottie file for the Face ID animation (

Prefer to explore a finished build first? 

 is available to download at the end of this tutorial.

New to ProtoPie? Start with a free account and follow along as you build.

Step 1: Import Your Login UI from Figma and Keep Your Layer Structure Intact

In Figma, open the plugin panel, search for ProtoPie, and launch it. With your full login frame selected, choose 

 rather than Flattened. Scene preserves your layer hierarchy; Flattened collapses everything into a single image, which makes it impossible to interact with individual elements later.

Click Export. Your layers will appear in ProtoPie exactly as structured in Figma.

💡 Before moving on, rename every layer clearly. Vague names like “Rectangle 14” will cost you time the moment you start wiring interactions.

Step 2: Replace Static Input Fields with Ones That Actually Accept Text

This is the step that separates a realistic prototype from a clickable mockup. ProtoPie’s native Input layer accepts real keyboard input – meaning testers type actual text, not simulated content.

 and drag an Input layer onto your canvas. Place it inside your username field group in the layer hierarchy, than match it visually to your design:

Match the background fill to your field background

 if there’s unwanted spacing at the field edge

Copy the hex code from your original text layer and paste it into the Input layer’s placeholder color, than match the font and size

Preview. Click the field and type. Your username input is now live.

Step 3: Mask the Password Field So It Behaves Like a Real App

 and place the copy inside your password field group. Two changes make it a password field:

Text Password masks typed characters as dots automatically, no customer logic needed.

Preview both fields. Username shows typed text, password shows dots. Exactly what users expect – and exactly what makes this prototype credible in a 

Step 4: Create the Dashboard Scene Before Wiring Navigation

Add a new scene in ProtoPie. This will become your dashboard, it can be empty at this stage. The important thing is that it exists as a 

💡Trying to set up a Jump response without a destination scene is the most common sequencing mistake in early ProtoPie builds.

Step 5: Make the Login Button Navigate to the Dashboard

, targeting your dashboard scene, Set the transition to 

Preview and tap. The scene changes. The button works, but it works regardless of what’s in the inputs. The next steps fix that.

Step 6: Use Variables to Capture What the User Types

 are what give this prototype memory. Without them, the inputs are just visual fields with no connection to the app's logic.

At the bottom left of the ProtoPie interface, add two variables to your login scene. Set both to 

 type, which handles letters, numbers, and special characters.

Bind each variable to its input layer using a formula. Select the username variable, click 

Do the same for password: input("Input Password").text

Toggle on the debug icons next to each variable. Green variable overlays will appear on screen showing live variable values as you type. This confirms the binding is working before you build any logic on top of it.

On the free plan? You can build everything in this tutorial. When you're ready for more – unlimited prototypes, team collaboration, more scenes – here's what's available.

Step 7: Add Conditional Logic So Only Valid Credentials Log In

. Create two conditions that must both be true simultaneously:

 response inside this condition block. The scene transition now only fires when both values match exactly. Wrong credentials, wrong email format, or empty fields — none of them get through.

Step 8: Build the Error State for Failed Login Attempts

A login flow without an error state isn't a login flow — it's a one-way door. Find your error message layer, rename it 

Add a second condition to the login button trigger, the inverse of the first:

Preview the full flow. Wrong credentials surface the error message. Correct credentials jump to the dashboard. The login now has two distinct outcomes, which is what makes it testable and stakeholder-ready.

Step 9: Add the Face ID Animation – the Detail That Makes This Feel Real

Biometric login is the interaction that makes testers stop and ask if this is a real app. Here's how to build it.

 layer onto your canvas. Load your Face ID Lottie file and position the group above the iPhone frame, off-screen. Note the Y coordinate of where you want it to land — Y: 60 works well as a landing position.

 to distinguish it from the main login trigger.

 — target the Lottie container, set Y to 

 — target the Lottie file, set time to 

. This resets the animation so it always plays from the beginning.

 — to your dashboard scene, slide in from right to left.

Step 10: Sequence the Timing So the Animation Plays Before the Scene Changes

Without delay settings, all four responses fire simultaneously, the scene jumps before the animation has a chance to play. Use the timeline delay controls to stagger them.

: 0.5s (gives the Move animation time to complete before the Lottie starts)

: 1s (gives the full Lottie animation time to play out before transitioning)

 on the Jump response. This ensures the Face ID animation returns to its starting position if a user navigates back to the login screen.

Preview the complete flow: tap Login with Face ID, the animation drops in and plays, the screen transitions. That's a biometric login that holds up in front of any stakeholder or test participant.

A login that validates real credentials, surfaces a live error state, and simulates biometric authentication doesn't just look impressive. 

It changes what you can do with the prototype

 engage with it the way they would a live product. The feedback you collect reflects real behavior, not accommodations for "it's just a demo." Stakeholders experience the authentication flow rather than having it explained to them. And when the logic is this precise, the prototype stops being a visual reference and starts being the specification your engineering team works from.

That's the foundation Pie Bank is built on. In Tutorial 2, we set up the dashboard, how variables carry financial state across every screen, and how to build the scroll behavior that gives premium apps their tactile feel.

Download the Chapter 1 prototype file – the login scene fully built, every interaction wired. Open it alongside this tutorial to explore how each step fits together, or use it as a reference to check your own build.

Not on ProtoPie yet? Start building for free. Everything in this tutorial works on the free plan.

Want to bring this level of prototyping to your team?

Tutorial 1 of 4 — FinTech Prototyping with ProtoPie

How to Build a Realistic FinTech Login Flow in ProtoPie Without Writing a Single Line of Code

We Built a Fully Functional Banking App. Without Writing a Single Line of Code.

Pie Bank looks like a real app. It behaves like a real app. The login validates actual credentials. The password field masks with dots. The balance updates when you transfer money. The camera opens when you deposit a check.

It’s a prototype. Built entirely in ProtoPie.

AI tools can generate a button, approximate a layout, even suggest interaction patterns. What they can’t do is validate the specific logic your product depends on. Pie Bank isn’t a best-guess interface. Every conditional flow, every balance calculation, every biometric trigger behaves exactly as specified. That’s the difference between a prototype that looks right and one that proves the product works.

This series breaks down exactly how it was made. Not the surface-level interactions, but the mechanics that make it feel real: the variables, the conditional flows, the hardware integrations, the math that keeps numbers accurate across every screen.

The Business Case for Prototyping at This Fidelity

validated before a single engineering ticket is created. 

that produce data you can act on, not feedback qualified with "well, it was just a prototype." 

 that happens when a decision-maker slides to send a transfer on a physical device instead of reading a spec doc that tries to explain it.

In most FinTech design workflows, the prototype is a visual reference and the logic lives in documentation. When a prototype carries real variables, live math, and conditional flows, that gap closes. The prototype becomes the specification. Fewer engineering assumptions. Fewer revision cycles.

This series was built for teams who need all three.

Meet Pie Bank: The Prototype That Behaves Like a Real App

Pie Bank is a high-fidelity mobile banking prototype with four core interaction areas. Each becomes its own deep-dive tutorial, guided by our Creative Technologists at ProtoPie.

Watch the full demo first. Then come back here to learn how each piece was built.

Chapter 1 - Log In Like It's Already Live

Tutorial: How to Build a Realistic Login Flow in ProtoPie

Where most prototypes fake the login, this one doesn't. You'll build functional text inputs, a masked password field, variable-based credential validation, a live error state, and a Lottie-powered Face ID animation — fully sequenced and timed. The result is a login flow that holds up in any user testing session or stakeholder demo.

Tutorial: Building a Smart Dashboard with Variables and Tactile Scroll

A UI that remembers. Every balance, every account state, every data point on the dashboard is stored in variables — the app carries your financial state as you navigate through it. We'll also build the paging container that gives the scroll its premium, tactile feel. The kind of detail that turns a demo into a decision.

Tutorial: Transfer Logic, Dynamic Lists, and Slide-to-Send in ProtoPie

Transfer logic that actually does the math. We build the full send money flow: dynamic account and recipient lists, the slide-to-send component that prevents accidental transfers, and the variable math that keeps balances accurate across the entire session. Stop writing specs that explain how the balance should update. Show them.

Tutorial: Camera Layer Integration and Physical Device Interactions

Hardware that feels indistinguishable from the real thing. We use ProtoPie's camera layer to build a live check deposit flow — real camera feed, capture simulation, and an instant balance update on confirmation. When stakeholders can hold the device and complete the interaction themselves, the conversation changes.

The full series rolls out every few weeks. But if you have a project running now and need to move faster, you don't have to wait for each tutorial to drop.

Our Creative Technologists offer private sessions where you work through your specific prototype directly with them. Your interactions, your logic, your questions.

At the end of this series, we'll release the complete 

, all four chapters, 14 connected ProtoPie scenes, every interaction, open to explore in ProtoPie.

Check back when the series is complete, or follow along so you don't miss the release.

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