A fictional signup asks users to tick “Do not untick if you do not want to miss offers”, making the resulting marketing choice hard to predict.
Trick questionAccount signupSignup
This is an original fictional comparison. It depicts no real business and is not a regulator finding, statutory category or legal safe harbour.
Account signupSignup
Double negative controls marketing
A fictional signup asks users to tick “Do not untick if you do not want to miss offers”, making the resulting marketing choice hard to predict.
Potentially problematicCommunication preferences
Communication preferences. The checkbox uses two negatives and an unclear default.. Selected: Do not untick to opt out. Continue with selected choices
The checkbox uses two negatives and an unclear default.
Do not untick to opt out
Continue with selected choices
→
Neutral alternativeEmail offers
Email offers. The optional choice states exactly what checking it does.. Not selected: Send me optional email offers. Save these choices. Purpose and refusal effect, expanded: The form explains why “Send me optional email offers” is requested and what happens if it is not used.
The optional choice states exactly what checking it does.
Send me optional email offers
Save these choices
Purpose and refusal effectThe form explains why “Send me optional email offers” is requested and what happens if it is not used.
Why the first version can mislead: The presentation changes what the user can notice or predict at the signup decision. The problematic state shows: “The checkbox uses two negatives and an unclear default.” Its influence should be tested by comparing the consequence and usability of “Do not untick to opt out” with “Send me optional email offers”. A user may subscribe to promotions while believing they refused them.
What a fairer design does: Use one positive proposition, an unticked control and a direct explanation of the resulting state.
Show annotated differences (4)
Potentially problematic version
The checkbox uses two negatives and an unclear default.Why this state matters: The presentation changes what the user can notice or predict at the signup decision. The problematic state shows: “The checkbox uses two negatives and an unclear default.” Its influence should be tested by comparing the consequence and usability of “Do not untick to opt out” with “Send me optional email offers”. A user may subscribe to promotions while believing they refused them.
Continue with selected choicesReview prompt: Do “Do not untick to opt out” and “Send me optional email offers” receive comparable prominence and explain their consequences before activation?
Neutral alternative
The optional choice states exactly what checking it does.Fairer design: Use one positive proposition, an unticked control and a direct explanation of the resulting state.
Purpose and refusal effect, expanded: The form explains why “Send me optional email offers” is requested and what happens if it is not used.Review prompt: Which fields or permissions are required, what happens on refusal, and does the resulting state support this criterion: “A response control has a predictable semantic interpretation”?
Review questions (3)
Do “Do not untick to opt out” and “Send me optional email offers” receive comparable prominence and explain their consequences before activation?
Which fields or permissions are required, what happens on refusal, and does the resulting state support this criterion: “A response control has a predictable semantic interpretation”?
What neutral rendering or comprehension result would falsify the classification, particularly in light of “Unavoidable technical distinction clearly explained”?
Side-by-side account signup interface showing “Communication preferences” and the clearer alternative “Email offers”.Provenance: Original hypothetical account signup example created for this library; no real business, product or interface is depicted.
Complete practice context
How this example relates to Trick question
A question or control uses confusing, reversed or leading semantics so the user's likely interpretation may not match the resulting choice. This is a design and research taxonomy for learning and evidence review, not a statutory offence label or an automatic finding that an interface is unlawful.
The full guide explains inclusion and exclusion criteria, potential harms, fairer design, evidence questions and separate Australian legal information layers. The example page isolates one scenario so it can be shared and discussed without reproducing the complete library on one page.
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