A digital services office wants evidence before choosing between two portal layouts for license renewal. What should the analyzer support?
Select an answer to reveal the explanation.
Short Explanation
A/B tests are just fair races between two front doors. Tag each layout, watch completion, and let the numbers pick the winner—not the loudest meeting. The analyzer’s job is clean measurement so civic UX bets are evidence-based.
Full Explanation
Supporting A/B or experiment measurement is a key web-analyzer use. Consistent event tagging by layout variant enables comparison of task completion rates for municipal services. Without that measurement capability, layout choices remain opinion-driven rather than outcome-driven.