Contextualising the validation

When naming a board in Miro, they’ll actually tell you how many characters you need to remove if you go over the limit.

Behind this Bite

i.e., this is easier to digest than “maximum of 30 characters”, because you know exactly what you need to do (and how many to remove).

AI insights

Cognitive Load is the working memory needed to complete a task. Showing "Remove 9 symbols" reduces mental effort, as users don't have to calculate how many characters to delete.
Specificity means that clear, actionable feedback is easier to act on. Telling users exactly how many symbols to remove is more helpful than a vague "max 30 characters" warning.
Fuzzy Context is when partial info creates confusion. Miro avoids this by giving a precise number, so users aren't left guessing or doing math, which minimizes ambiguity and frustration.
JustEat highlights missed choices at the end of a menu, showing exactly what to fix. Both Miro and JustEat use targeted, actionable validation to guide users and reduce friction.
Figma stops users from accidentally deleting comments by warning them after a few characters. Both Miro and Figma use direct, in-context feedback to prevent errors and help users feel in control.