A call to action (CTA) or a call-out should present a challenge. It should not correct a mistake. This approach motivates the user to try again or improve.
By Pawan Nayar · from the LLOS AI Learning record
A call to action (CTA) or a call-out should present a challenge.
It should not correct a mistake. This approach motivates the user to try again or improve.
An AI model should frame calls to action as challenges. This means encouraging the user to achieve a goal. The AI model should avoid language that sounds like a correction. Corrective language can make a user feel bad. Challenge-framed language makes a user want to try again.
A student uses an AI model for a quiz. The student answers 7 questions incorrectly. The AI model could say, 'You missed 7 questions.' This is corrective. Instead, the AI model says, 'Avenge the 7 you missed.' This is a challenge. The student feels motivated to improve.
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A question tells the user what action to take. It focuses on execution.
An AI model should change its feedback message based on the user's score. A perfect score gets a congratulatory message.
A call to action (CTA) should always imply challenge or growth. The CTA should make the user feel capable.
An AI model should show a user how to perform key actions. This demonstration must happen before the user can begin.
A call to action (CTA) or a call-out should present a challenge. It should not correct a mistake. This approach motivates the user to try again or improve.