Every product team has shipped something that users didn't want. The designs looked great in Figma, the stakeholders approved, engineering built it — and then nobody used it.

Prototype testing prevents this by putting designs in front of real users before you write a single line of code.

What Is Prototype Testing?

Prototype testing is a research method where users interact with a clickable prototype (usually built in Figma, Sketch, or similar tools) while you observe their behavior. The prototype simulates the real product experience without any actual code.

Why Test Prototypes?

Without prototype testing	With prototype testing
Ship → discover problems → patch	Discover problems → fix in design → ship right
Engineering time wasted on wrong features	Engineering time spent on validated designs
"I think users will like this"	"We know users prefer option B"
Expensive post-launch redesigns	Cheap pre-development iterations

The math is simple: Fixing a design in Figma takes 30 minutes. Fixing it after development takes 2 weeks. Test before you build.

When to Test Prototypes

Not every prototype needs testing. Use this decision framework:

Always Test When:

The feature affects core user flows (onboarding, checkout, key actions)
Stakeholders disagree on the approach
You're entering a new market or user segment
The change is irreversible or expensive to undo

Skip Testing When:

The change is minor (copy tweaks, color adjustments)
You have strong existing data supporting the design
The cost of being wrong is very low

Fidelity Levels

Level	What It Looks Like	When to Use	Tools
Low-fi	Paper sketches, wireframes	Concept testing, layout validation	Paper, Whimsical
Mid-fi	Grayscale clickable prototype	Flow testing, IA validation	Figma, Sketch
High-fi	Pixel-perfect with real content	Visual design testing, final validation	Figma, Protopie

Rule of thumb: Start low-fi and increase fidelity only when you need to test visual design or micro-interactions.

How to Run a Prototype Test

Step 1: Set Clear Goals

Define what you're testing and what decisions the test will inform:

"We're testing whether users can find the settings page in the new navigation."
"We're comparing two checkout flow layouts to see which has higher completion."

Step 2: Prepare Your Prototype

Make it realistic enough. If buttons are clickable in the real product, they should be in the prototype.
Handle dead ends gracefully. Add a "this feature isn't available in the prototype" screen for unbuilt areas.
Use real content. Lorem ipsum makes everything look fine. Real content reveals problems.

Step 3: Write Task Scenarios

Follow the same task-writing principles from usability testing:

Use scenarios, not instructions
Be specific about the goal, vague about the method
Include 3–5 tasks per session

Step 4: Run Sessions

Moderated (recommended for prototype tests):

Join via video call
Share the prototype link
Observe, don't guide
Ask "What are you thinking?" at key moments

Unmoderated:

Works for high-fi prototypes with clear flows
Include very clear task instructions
Rely on click tracking and recordings

Step 5: Analyze and Iterate

Focus on these insights:

Task completion: Could they do it?
Path analysis: Did they take the expected path?
Points of confusion: Where did they hesitate or backtrack?
Verbal feedback: What did they say while interacting?

Common Mistakes

Testing too late in the design process. Test when changes are still cheap.
Falling in love with your design. The test isn't about proving your design is good — it's about finding problems.
Testing with stakeholders instead of users. Your CEO is not your user.
Over-polishing. You don't need a perfect prototype to learn. Test early, test rough.
Not iterating. Testing once isn't enough. Fix → retest → fix → retest.

Getting Started

The biggest risk isn't testing imperfectly. It's not testing at all.

Ready to validate your next design? Create a prototype test on Afkar — upload your Figma file, recruit participants, and get video recordings with insights in hours.

Why You Should Test Prototypes Before Writing a Single Line of Code