A community kayak-livery waiver helper posts a high overall correct-waiver rate, but errors cluster on renters whose names use diacritics and on same-day walk-ups. What should the team ask for?
Select an answer to reveal the explanation.
Short Explanation
Think of a high overall waiver rate with errors piled on diacritic names and same-day walk-ups. Ask for subgroup analysis. The headline number conceals that cluster.
Full Explanation
Subgroup analysis reveals uneven quality that a single headline metric conceals. Diacritic names and walk-ups are those subgroups. Headline-only rates, font, and caching do not break the errors out.