What it is
Measuring perceived usability with a standardized questionnaire, repeated over time or across versions or alternatives. The System Usability Scale (SUS) has ten statements on a five-point scale, scored 0 to 100. UMUX-Lite has two statements and was developed with a seven-point scale (five-point variants exist, so state which). They are different instruments and their results should not be treated as interchangeable; a SUS-equivalent converted from UMUX-Lite is an estimate, not a measured SUS score. Both measure perception only, not task success, time, or behavior, which can disagree with perception.
Why use it
A consistent, standardized measure shows whether perceived usability is improving across releases and how it compares with a reference, complementing task-based and behavioral findings.
Use this when
- You need a repeatable measure of perceived usability across releases or alternatives
- Stakeholders want a simple indicator alongside qualitative findings
- You want a baseline before a redesign
- CSAT or satisfaction measures do not isolate usability
You may not need this when
- You need to know which problems to fix, or results per task (these are whole-product scores)
- Few participants are available and the score would be read as precise
- You cannot keep instrument, wording, and administration consistent
Dependencies — what you need
- A chosen instrument, with exact wording and scale, identical at every measurement
- Representative users who have used the product, asked right after use and before discussing it
- Survey tooling (e.g., Qualtrics, Typeform, Google Forms) or an in-product prompt
- Enough responses and a plan to report uncertainty, such as a confidence interval
People involved
- Design
- Research
- Product
- Analytics
Typical outputs
- Scores as measured (0 to 100 is not a percentage), with sample size and uncertainty
- A baseline before changes, and later measurements on the same instrument
- Like-for-like comparisons; a published average is a reference, not a pass mark
- Follow-up questions for testing, interviews, or analytics
Template
Usability Benchmarking template
A fill-in structure for running this method: what to prepare, what to do, what to record, and how to read the result.
How AI can help
AI as augmentation — not replacement
- Draft the administration script, for the researcher to check against the published wording
- Help check a scoring spreadsheet built from the published rule, using made-up test answers
- Draft a plain-language note on what the score does and does not show
- Summarize open-text comments, for the researcher to review
AI prompt
A prompt for any AI assistant. It works only from material you paste in, keeps assumptions apart from findings, and leaves the decisions to you.