How to Test Figma Prototypes

Why Read This from an HCI Perspective

This article compiles practical ways to validate Figma prototypes before development begins, which is highly meaningful for HCI/UX practitioners. In particular, it presents a cohesive workflow—from task-based testing and participant recruitment to quantitative and qualitative analysis—shifting the focus from ‘making design quickly’ to ‘confirming the right experience quickly.’ The argument for reducing early costs is also persuasive, because it directly supports research planning and helps align stakeholders.

CIT's Commentary

From a CIT perspective, the core of this piece is less about ‘testing prototypes themselves’ and more about how quickly testing can reduce uncertainty in design decisions. It’s especially good that it treats very specific interaction units as validation targets—such as button labels, navigation structure, and differences between mobile and desktop. However, because the narration is tool-centric, it’s important to also consider what matters more in real HCI: the validity of task design, managing participant representativeness, and preventing bias in interpreting qualitative data. Platforms like Maze can improve efficiency, but research quality ultimately depends on the quality of the questions and the rigor of the interpretation.

Questions to Consider While Reading

• Q.To what extent do these testing approaches sufficiently reflect the complexity of real usage contexts?
• Q.Even if quantitative metrics look good, how can we avoid missing moments when users hesitated in reality?
• Q.How should we design procedures to verify that researchers can trust AI-based theme analysis results?