UX Research by the Numbers: Task Success, Time on Task, Questionnaire Scores, Problems Found per Tester, Card Sorting and Target-Size Laws
Turn usability tests into numbers a design team can act on. You will compute task success with a confidence range, summarise time on task with geometric means and medians, score a ten-item usability questionnaire, estimate how many testers find most problems, prioritise issues by severity and frequency, build a card-sorting agreement matrix, check menu and button choices with target-size and choice-time laws and report it all on one page, with every cell checked as you go.
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About this course
This course turns usability tests into numbers, one checked cell at a time. You calculate task success rates and an adjusted 95 % range with the fixed constant z = 1.96, then give each task a Pass, Fail or Unclear verdict. You summarise time on task with the median and a geometric mean built from LN and EXP, flag slow sessions, measure path efficiency and a lostness score, and score a fictional ten-item questionnaire on a 0–100 scale. You estimate how many testers find most problems with 1 − (1 − p)^n, rank issues by severity, frequency and importance, build a card-sorting co-occurrence matrix, score a tree test and predict pointing and choice times before and after a redesign.
Lessons
- Task Success: Completion Rates, an Adjusted 95 % Range with z = 1.96 and a Pass Verdict Pro
- Time on Task: Completed Attempts Only, Median vs Geometric Mean with LN & EXP, Slow Outliers Pro
- Errors & Efficiency: Errors per Tester, Shortest Path vs Clicks and a Lostness Score Pro
- Questionnaire Scores: Positive & Negative Items, Item Contributions and a 0–100 Score per Tester Pro
- Problems Found per Tester: Discovery Rate p, 1 − (1 − p)^n, Testers Needed and a Discovery Curve Pro
- Issue Prioritisation: Severity × Frequency × Task Importance, a Ranked List and Effort vs Impact Pro
- Card Sorting & Tree Tests: Co-occurrence Matrix, Agreement %, Tree-Test Success and Directness Pro
- Capstone – Target Sizes & Choices: Movement Time a + b·LOG(D/W + 1, 2), Choice Time and a Before/After Chart Pro