THE UX METRICS LIBRARY

Measure what matters.
Not everything.

Start with the question. Choose the metric. Keep the context.

Usability

Task Success Rate

Can users complete what they came to do?

Successful tasks / Total tasks × 100
Method and interpretation

Observe a clearly defined task and record complete, partial and failed attempts. Establish the same success criteria before comparing designs.

Fewer failed journeys may be associated with fewer support interactions.

Use consistent definitions and comparable samples. A signal alone does not establish causality.

Efficiency

Time on Task

How much effort does the journey require?

Total completion time / Completed tasks
Method and interpretation

Measure the time needed to complete a specific task. Report the median alongside the mean when outliers are present, and distinguish successful from failed attempts.

Faster workflows may indicate operational time savings.

Use consistent definitions and comparable samples. A signal alone does not establish causality.

Errors

Error Rate

Where does the experience break down?

Errors / Opportunities for error × 100
Method and interpretation

Define what counts as an error and its severity. Observe the number of errors relative to consistent opportunities for error.

Fewer errors can help identify opportunities to reduce rework.

Use consistent definitions and comparable samples. A signal alone does not establish causality.

Satisfaction

System Usability Scale

How usable does the experience feel?

Standard 10-item SUS questionnaire → 0–100 score
Method and interpretation

Use the standard ten alternating positive and negative statements. Subtract 1 from odd-item scores, subtract even-item scores from 5, sum and multiply by 2.5. SUS is a score, not a percentage.

Perceived usability provides context alongside behavioral evidence.

Use consistent definitions and comparable samples. A signal alone does not establish causality.

Adoption

Feature Adoption Rate

Are people using the features that matter?

Users adopting a feature / Eligible users × 100
Method and interpretation

Define eligible users, a meaningful adoption event and a consistent time window. Distinguish trying a feature from sustained use.

Adoption may be related to product utilization or retention; validate the relationship.

Use consistent definitions and comparable samples. A signal alone does not establish causality.

Engagement

Engagement Rate

Are users returning to meaningful interactions?

Meaningfully active users / Eligible users × 100
Method and interpretation

Define meaningful activity in the context of user goals. Use a fixed period and avoid treating raw clicks or time spent as inherently positive.

Meaningful engagement can provide evidence of sustained product value.

Use consistent definitions and comparable samples. A signal alone does not establish causality.