As product designers, builders and user researchers ourselves, we’ve run multiple hundreds of moderated usability testing sessions, and tested most existing unmoderated prototype testing tools out there.
Most teams don’t have the time and resources it takes to run moderated usability testing sessions regularly, and the unmoderated prototype testing tools we’ve seen often leave a lot to be desired.
We think AI-moderated prototype testing will make it easier for teams to get actionable feedback and user insights in a fraction of the time, so that you can iterate on your designs faster and ship new features and design changes with confidence.
Our new prototype testing task are available in your account today, and are designed to help product designers test high and low-fidelity prototypes in Figma, enabling you to catch usability issues before they become costly mistakes, and gather feedback on your prototypes from real customers before your team starts writing a line of code.
Let AI moderate your usability tests
With the new prototype task block in the Wondering study builder, you can now seamlessly import any Figma prototype and deploy an AI-moderated usability testing study to your own customers or our global panel of over 150K+ participants in minutes. Whether you're looking to test specific user journeys, measure the overall usability of your prototype or gather feedback on a new product concept, it’s now easier than ever to gather actionable insights about how to improve your designs from real users in almost any language. Here’s how it works:
1. Create a prototype testing study in minutes with AI To create a new study that includes a prototype task, you can now use Wondering’s AI-powered study builder to create a usability testing study in as little as 10 seconds. Simply describe what you want to learn from your prototype test and Wondering will build a draft study for you.
2. Gather responses in 50+ languages with AI-moderation As with all study blocks on Wondering, you can use Wondering’s AI to dynamically ask follow-up questions to each step of your study in over 50 languages. Once participants complete your prototype you can combine open-text, audio, rating scale and multi-choice questions with AI-generated follow-up questions to dig deeper into anything you want to learn about how your participants experience your prototype.
3. Turn responses into insights with AI analysis After collecting your responses to your prototype testing study, Wondering’s AI analysis will automatically analyze each response and automatically pull out key quotes and themes that emerge in your data, helping you easily identify key insights that might otherwise go unnoticed.
How to use AI-powered prototype testing to optimize your designs Wondering’s AI-powered prototype testing is designed to tackle essential product design challenges, helping you refine your designs before costly development begins:
1. Test your designs in real time Easily deploy AI-moderated usability tests with real users—either from your customer base or Wondering’s global panel of over 150K+ participants. Gain insights into how users interact with your prototypes and identify what’s working and what’s not.
2. Uncover usability issues at scale Spot common usability problems such as confusing navigation, unclear buttons, or inefficient user flows before they turn into costly development errors. Wondering’s AI analysis helps you prioritize these issues based on user feedback, so you can focus on the most critical improvements.
KatKin , a rapidly scaling fresh cat food company, have been using the new Prototype Testing block to iterate on user journeys across their product. By deploying AI-moderated prototype tests to customers in-product and participants recruited from Wondering’s participant pool, they have been able to identify areas of their designs that confused customers, and have been able to make insight-driven adjustments to their designs more than 4 times as fast as before. Learn how KatKin has shortened their time-to-insight with AI-moderated prototype testing here .
3. Iterate faster with AI insights Wondering’s AI analyzes user responses and surfaces key quotes and themes automatically, allowing you to iterate on your designs more quickly. Use these insights to make informed design decisions and optimize your product.
Butternut Box , a personalized dog food subscription service, have also shortened their time-to-insight with the help of AI-moderated prototype tests on Wondering. By deploying prototype tests in-product, the team at Butternut Box have shortened their average time-to-insight to 8 hours when gathering feedback from real customers. Learn how to replicate Butternut Box’s success here .
Get started with AI-moderated prototype testing Ready to test out AI-moderated prototype testing? Try it and create and launch your first AI-moderated prototype test today!
