Choose one of seven groups, then open the relevant practice page to see its two original HTML comparisons side by side. This directory stays compact while every detail page retains the complete definition, boundary cases, neutral alternatives and Australian legal information.
Every scenario is fictional and depicts no real business. A comparison teaches a design mechanism; it does not establish that similar conduct is unlawful.
Seven practice groups
Choose a group to reveal its practices
Each row shows the example titles before you open a full practice guide. Keep every group closed for a quick overview, or expand only the area relevant to your journey.
Forced action6 practices · 12 examples
Forced action examples
Conditions access to a desired function on an additional action, disclosure or commitment that is not inherently required for the user's goal.
Content continues automatically or lacks meaningful stopping cues, reducing deliberate control over time and attention. 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.
SignupAccount Management
Contact harvesting and coerced referrals
The service extracts contact information, sends or prepares unwanted invitations, or ties functionality to recruiting other people. 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.
Pricing
Forced disclosure or excessive data request
Access or progression is conditioned on disclosing personal information that appears unnecessary, excessive or used for an insufficiently explained secondary purpose. 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.
SignupCheckout
Forced or bundled consent
Access is conditioned on accepting optional or separable data uses, communications or permissions as one bundled 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.
CheckoutPricing
Forced registration
The user must create an account, or is led to believe one is required, to complete a goal that could plausibly be provided without it. 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.
Account Management
Gamified or paid access coercion
Desired functionality is practically conditioned on repetitive engagement or an additional payment not sufficiently clear at acquisition. 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.
Interface interference12 practices · 24 examples
Interface interference examples
Privileges business-favoured actions through visual, linguistic or structural presentation of choices and information.
Distinct products, services, permissions or purposes are grouped under one choice so the user cannot readily understand or select them separately. 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.
PricingSignup
Choice or information overload
The volume or organisation of options or information makes meaningful comparison impractical and channels users toward a default or business-favoured path. 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.
CancellationCheckout
Complex or inaccessible language
Material guidance is presented in a language or level of complexity that makes informed choice materially harder for the target user. 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.
CheckoutCancellation
Confirmshaming and emotional pressure
Option labels use shame, guilt, fear or asymmetric emotional framing to move the user away from the outcome they would otherwise choose. 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.
Pricing
Disguised advertisement or action
A promotional or biased action is presented as ordinary content or as a different control, causing interaction under a mistaken understanding. 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.
SignupSubscription
False hierarchy
Parallel options are presented as if one were hierarchically primary, giving a business-favoured option materially greater visual or interactive prominence. 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.
CheckoutAccount Management
Feedforward ambiguity
A control does not let the user reasonably predict its material outcome before activation. 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.
Pricing
Hidden or ineffective material information
Information relevant to the decision is absent or presented so ineffectively that it is unlikely to inform the user at the decision point. 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.
Pricing
Misleading reference pricing
A comparison or prior price creates an inaccurate or insufficiently explained impression of savings. 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.
CheckoutSubscription
Preselection and biased defaults
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.
SubscriptionCheckout
Pressured upselling
A more expensive or profitable option is made the practical focal choice through preselection, visual prominence or obscured lower-cost alternatives. 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.
SignupCancellation
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.
Nagging1 practices · 2 examples
Nagging examples
Repeatedly interrupts or asks the user to take a business-favoured action after the user has declined, deferred or ignored it.
A business-favoured request repeatedly interrupts the user after decline, dismissal or non-response without a durable way to stop it. 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.
Obstruction8 practices · 16 examples
Obstruction examples
Adds unnecessary friction, barriers or dead ends to dissuade the user from a choice, right or task.
Deleting an account is unavailable, disguised as another outcome or burdened by unnecessary barriers. 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.
Cancellation
Cancellation friction
Ending an existing subscription, recurring service or permission is made difficult to find or complete through unnecessary steps or channel asymmetry. 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.
Pricing
Comparison prevention
Information needed to compare products, plans or consequences is presented in inconsistent, fragmented or unusable form. 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.
Account ManagementPricing
Customer-support obstruction
Access to support needed to resolve a purchase, account, charge or right is hidden or burdened by unnecessary loops and dead ends. 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.
Account ManagementCancellation
Dead end
A consumer-favourable route cannot reach its represented outcome and instead loops, stalls or loses progress. 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.
Checkout
Intermediate currency
A proprietary currency makes the real monetary cost or remaining value unnecessarily hard to understand. 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.
CheckoutSignup
Obstructed alternative
A relevant alternative within the current decision is hidden, blocked or made materially harder than the business-favoured action. 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.
Account Management
Privacy maze
Privacy controls are fragmented, inconsistently labelled or layered so that limiting collection or use is unnecessarily difficult. 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.
Sneaking5 practices · 10 examples
Sneaking examples
Hides, disguises or delays material consequences so that the user takes an action they may otherwise reject.
The user selects a represented action or offer but receives a materially different outcome that favours the business. 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.
CheckoutPricing
Drip pricing and mandatory fees
A mandatory or foreseeable charge is omitted, obscured or revealed only after the user has invested effort in the transaction. 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.
SubscriptionCancellation
Negative option or unauthorised transaction
Silence, inactivity or an ineffective prior interaction is treated as authorisation for a paid or consequential transaction. 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.
Checkout
Sneak into basket
A paid or consequential item is added to a basket or transaction without a clear, deliberate and specific 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.
SubscriptionCheckout
Subscription traps and automatic renewal
A transaction creates or continues recurring liability without effective, timely disclosure of the subscription, renewal and exit consequences. 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.
Social proof3 practices · 6 examples
Social proof examples
Uses claimed behaviour, approval or popularity among other people to accelerate or steer a decision.
Claims about recent or current actions by other users are used to steer the decision, particularly where authenticity, timing or relevance is unsupported. 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.
Pricing
Popularity claims
Aggregate popularity or approval is presented to steer a choice where the metric, population, period or basis is unclear or unsupported. 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.
Pricing
Testimonials or endorsements
A named or attributed person's approval is used persuasively without sufficient authenticity, representativeness or relationship disclosure. 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.
Urgency4 practices · 8 examples
Urgency examples
Applies temporal or quantitative pressure through real, exaggerated or fabricated scarcity claims.
A visible countdown applies time pressure, particularly where it resets, is personalised without disclosure or has no corresponding consequence at zero. 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.
Pricing
High-demand claim
A claim of unusually high current demand is used to accelerate a decision without a clear or supportable basis. 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.
PricingCheckout
Limited-time or reservation claim
A textual deadline or temporary-reservation claim pressures action, particularly where the deadline renews or its stated consequence does not occur. 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.
PricingCheckout
Low-stock claim
A claim that few units remain applies purchase pressure, especially where inventory basis or persistence is unsupported. 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.
Use examples as review prompts
A useful review asks what the person intended, which information and alternatives appeared, how the state changed, what operational fact supported each claim and what outcome followed. It then applies current law, the enacted 2027 provisions and pending material as separate layers. Saving the surrounding journey helps teams distinguish an isolated visual similarity from a repeated mechanism with practical consequences.
Sources used across the example directory
Evidence base
Sources
Dark commercial patternsOrganisation for Economic Co-operation and Development · Secondary · checked 2026-09-14 · OECD Digital Economy Papers No. 336
Social proof3 practices · 6 examples
Social proof examples
Uses claimed behaviour, approval or popularity among other people to accelerate or steer a decision.
Activity messages
Claims about recent or current actions by other users are used to steer the decision, particularly where authenticity, timing or relevance is unsupported. 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.
Included comparisons
- Randomised recent-purchase notification
- Fabricated named signup notification
Open the complete pattern guide →Popularity claims
Aggregate popularity or approval is presented to steer a choice where the metric, population, period or basis is unclear or unsupported. 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.
Included comparisons
- “Most popular” has no defined metric
- Bestseller badge follows margin rather than sales
Open the complete pattern guide →Testimonials or endorsements
A named or attributed person's approval is used persuasively without sufficient authenticity, representativeness or relationship disclosure. 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.
Included comparisons
- Paid creator recommendation lacks disclosure
- Employee review presented as independent expertise
Open the complete pattern guide →