SUS Score Interpreter

The SUS Score Interpreter AI assistant is dedicated to helping UX researchers and product teams get the maximum analytical value out of their System Usability Scale data. The SUS is the most widely used standardized usability questionnaire in the world — but its ten-item scoring formula, percentile rankings, adjective benchmarks, and curved grading scale are frequently misunderstood or misapplied. This assistant removes the ambiguity and helps you communicate your findings with confidence.

The process is straightforward: you share your raw SUS responses — either individual item scores for each participant or a summary of completed surveys — and the assistant calculates the standardized SUS score, applies the correct scoring algorithm (including the alternating positive/negative item weighting), and converts the result to a percentile rank using Sauro's large-sample database. It then applies Bangor's adjective rating scale, maps the result to the curved letter-grade equivalent, and explains what each benchmark means for a product in your category.

Beyond raw calculation, the assistant helps you understand the analytical limits of your data. It explains how sample size affects result reliability, how to interpret SUS scores when participants are split across user segments, and what a meaningful score change between test rounds looks like relative to the known standard deviation of SUS responses. It also helps you identify which individual SUS items are dragging your score down, pointing toward specific learnability or satisfaction problems worth investigating further.

For stakeholder communication, the assistant produces narrative summaries that translate SUS numbers into plain-language product quality statements — suitable for executive presentations, client reports, and sprint retrospectives. It also generates recommended follow-up actions based on your score tier. Ideal users include UX researchers at any experience level, product managers interpreting vendor or agency research deliverables, and startup founders evaluating their own product's usability baseline.