Prototype Testing 101 Guide
Introduction
What is prototype testing
Planning your test
Setup
Build a prototype using images
Build a prototype using Figma
Creating tasks
Create a clickable area
Recruit participants
Analysis
Results overview
Participants list
Task Results
Clickmaps
Creating segments

What is prototype testing?

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Prototype testing is the process of validating your designs with real users through interactive prototypes. By creating low-fidelity wireframes or high-fidelity interactive prototypes, you can gather valuable insights about your product's usability, functionality, and overall user experience before you launch.
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During a prototype test, users are given specific tasks to complete within the prototype, and their interactions, behaviors, and feedback are observed and analyzed. This allows you to catch potential issues early on and make informed decisions to improve your design before investing significant resources into development.


This comprehensive guide will walk you through the key aspects of conducting effective prototype tests, from planning and setup to analysis and best practices.

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Why prototype testing is important

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Prototype testing offers in-depth insights into your prototype's performance, pinpointing areas for enhancement and empowering data-driven design decisions at every stage of the design process.

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Through prototype testing, you’ll learn:

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  • User navigation: You’ll observe how easily users navigate to their intended destinations, identifying areas where they struggle or succeed.
  • Click visibility: Testing reveals where users click to achieve specific goals, highlighting key interaction points and uncovering areas that may need adjustment.
  • Usability: You’ll assess the overall ease of use, detecting potential pain points and discovering opportunities to simplify interactions.
  • Design preferences: User reactions to design elements like fonts, colors, imagery and shapes can help you understand their visual preferences and make adjustments to improve aesthetics and usability.
  • Labels, messaging, and content: Feedback on labels and content clarity helps you refine the language, ensuring it resonates with users and effectively conveys information

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By analyzing these areas, you can quickly refine your design based on real user feedback, ensuring it aligns better with their expectations and needs.

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