What usability metrics would you instrument, and how do regressions drive priorities?
Tests operationalizing UX into engineering signals. Strong answers list success rate, time on task, and error rate; triage regressions by criticality; and pair quant drops with qual diagnosis. Red flag: calling every regression P0 or using vanity metrics.
Tests translating user behavior into engineering signals and prioritizing regressions by business impact. A strong answer names success rate, time on task, error rate, and satisfaction; distinguishes diagnostic from tracking metrics; and triages negative changes by task criticality. It pairs quant drops with small qual studies for root cause, then shifts sprint capacity from features to fixes. Red flag: blanket P0 escalation, vanity metrics like page views, or ignoring sample size and statistical significance.
Read the original → nngroup.com
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- #prioritization
- #instrumentation
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