Interface interference · Australia

Preselection and biased defaults

The final Act does not prohibit every preselected option as a standalone category. A default can, however, contribute to manipulation or unreasonable distortion under section 28B where the complete test and likely detriment are present. Other rules can apply now, including price, misleading-conduct, consent or sector-specific requirements, depending on the option.

Commences 1 July 2027
Also known as
  • bad defaults
  • default add-on
  • deceptive snugness
  • prechecked marketing
  • preselected paid add-on
  • default privacy-invasive setting
  • preselected higher-cost plan
  • pre-ticked option
  • default bias
  • preselection
  • opt-out default
  • Preselection or bad default
Journey stages

Definition

What is this pattern?

A business-favoured option with a plausible adverse consequence is active before a deliberate user 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.

How it works

A business-favoured option with a plausible adverse consequence is active before a deliberate user choice. The system chooses a consequential option before the user acts, allowing inattention or momentum to preserve a paid, data-sharing or longer-term state.

Warning signs

  • The state is selected at first relevant presentation.
  • The default benefits the business or increases cost, data use, tracking or commitment.
  • The user must act to avoid the consequence.

Potential harms

  • The shopper may pay for an add-on through inattention rather than active agreement.
  • A user may commit to a larger upfront payment without making an active billing-period choice.

Learn by comparison

What does this look like?

These fictional examples make the design mechanism easier to recognise. They do not depict a real company and do not establish that an individual interface is unlawful.

Illustrative example 1 · Paid protection preselected in basket

A fictional retailer preselects a $12 protection plan and includes it in the total before the shopper has made a distinct choice.

Potential consumer harm: The shopper may pay for an add-on through inattention rather than active agreement.

Illustrative example 2 · Annual plan active by default

A fictional streaming service opens with the annual plan selected and highlights a monthly-equivalent figure while the payable annual total is smaller.

Potential consumer harm: A user may commit to a larger upfront payment without making an active billing-period choice.

Illustrative example 3 · Preselected paid protection

A retailer pre-ticks a $12 product-protection add-on and includes it in the checkout total without a distinct confirmation.

Potential consumer harm: The default creates a direct financial consequence and may exploit inattention. Section 28B and current price or misleading-conduct rules require contextual analysis.

Illustrative example 4 · Annual plan selected over monthly plan

A service preselects a prepaid annual plan, displays its monthly equivalent most prominently and places the payable annual total in smaller text.

Potential consumer harm: The combination of default and price hierarchy may cause a consumer to accept a larger commitment than understood.

What is a fairer alternative?

Use a neutral or consumer-protective default and require affirmative selection for added cost, data use, tracking or commitment.

Context matters

Context and boundary cases

  • The state is selected at first relevant presentation.
  • The default benefits the business or increases cost, data use, tracking or commitment.
  • The user must act to avoid the consequence.
  • Boundary to test: Consumer-protective or neutral default
  • Boundary to test: state restored from a prior explicit user choice
  • Does the default add price, commitment, data use or another material consequence?
  • Is the default clearly visible and explained before commitment?
  • Would the consumer reasonably expect no selection until they act?
  • How easy is it to change or reverse the selection?
  • Is the default justified by consumer benefit or primarily trader conversion?
  • Does the design exploit inattention or accessibility constraints?

When a similar design can serve a legitimate purpose

  • Consumer-protective or neutral default
  • state restored from a prior explicit user choice

Operational review

What teams should review

Teams
  • Product
  • Design
  • Engineering
  • Ecommerce
  • Legal
  • Privacy
  1. Do “Protection included” and “Add protection for $12” receive comparable prominence and explain their consequences before activation?
  2. Compare the basket before and after the action, including total and line items; does the mutation satisfy “The state is selected at first relevant presentation”?
  3. What neutral rendering or comprehension result would falsify the classification, particularly in light of “Consumer-protective or neutral default”?
  4. Do “Annual selected” and “Select monthly or annual” receive comparable prominence and explain their consequences before activation?
  5. Capture every peer option, its default state and visual prominence; do those states support “The default benefits the business or increases cost, data use, tracking or commitment”?
  6. What neutral rendering or comprehension result would falsify the classification, particularly in light of “state restored from a prior explicit user choice”?
  7. What changes if the consumer takes no action?
  8. Does a default add cost or commitment?
  9. Can the consumer identify the selected state and reverse it before purchase?
  10. Are actual billing amount and period at least as clear as an equivalent-rate claim?
  11. What evidence shows the default benefits rather than surprises users?

Evidence to retain

  • default-state inventory
  • decision record for each material default
  • screenshots before and after selection
  • price and billing copy approvals
  • removal, refund and complaint data
  • accessibility interaction tests
  • Annotated checkout and subscription screenshots at each responsive breakpoint
  • The complete state sequence before, during and after the consumer decision
  • Design-system component, content, default and configuration records for the reviewed release
  • Operational records substantiating price, availability, timing and eligibility claims
  • Usability, accessibility, reversal, complaint and support evidence relevant to consumer impact
  • A dated product and legal review record identifying evidence, uncertainties and release decisions

Legal map and implementation tools

Evidence base

Sources

  1. Dark commercial patternsOrganisation for Economic Co-operation and Development · Secondary · checked 2026-09-14 · OECD Digital Economy Papers No. 336
  2. Competition and Consumer Amendment (Unfair Trading Practices) Act 2026Federal Register of Legislation · Primary · checked 2026-09-14 · C2026A00064
  3. Competition and Consumer Act 2010, including Schedule 2: Australian Consumer LawFederal Register of Legislation · Primary · checked 2026-09-14 · C2004A00109
  4. Manipulative conduct in the digital economy, pricing claims and competition in essential services among ACCC priorities for year aheadAustralian Competition and Consumer Commission · Primary · checked 2026-08-09
  5. Unfair trading tricks and traps to be bannedTreasury Ministers · Primary · checked 2026-09-14
  6. Inquiry into the Competition and Consumer Amendment (Unfair Trading Practices) Bill 2026Senate Economics Legislation Committee · Primary · checked 2026-08-09