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System Usability Scale (SUS)

Why is it useful?

The System Usability Scale (SUS) helps you quantify how users perceive the overall usability and learnability of your product. With just 10 standardized questions, it provides a reliable benchmark to compare different product versions or track usability improvements over time making it ideal for spotting friction in the user experience early and often.

How to get started:

Once the Formbricks Widget is integrated, you can trigger the SUS survey after a user completes key workflows or at the end of a session. You can segment who sees it based on user attributes or triggered events. Soon, you’ll also be able to auto-target cohorts for deeper, behavior-based usability insights.

What is the System Usability Scale (SUS) template mostly used for?

The System Usability Scale (SUS) template is a widely adopted tool for evaluating the perceived usability of a digital product. It’s most often used at the end of a usability test or after users complete core workflows in your app. By asking users to rate their experience through a standardized set of 10 statements, SUS delivers a single score (0–100) that reflects overall usability making it ideal for benchmarking different product versions, tracking improvements over time, or comparing your product against industry standards.

SUS is especially valuable because it provides consistent, research-backed insights into user satisfaction without requiring complex setup. Its structured format ensures data reliability across different user segments and usability studies. With a large body of historical benchmarks, you can easily interpret where your product stands and how it compares to others in your space.

In practice, teams use SUS to identify usability issues that might not be immediately visible through observational research alone. The aggregated score helps prioritize design improvements that make a measurable impact on user experience. While SUS doesn’t explain why users struggle, it offers a high-level signal that, when paired with qualitative feedback or performance metrics, becomes a powerful diagnostic tool for product development.