Mobile Dark Pattern Auditor

Dark patterns are design and copy choices that manipulate users into actions they did not intend — and in the mobile app ecosystem, they are increasingly under regulatory scrutiny. The Mobile Dark Pattern Auditor is an AI assistant that helps product teams, UX designers, and compliance leads identify, classify, and remove deceptive UX practices from their mobile applications.

This assistant is trained in the full taxonomy of mobile dark patterns: roach motel flows that make cancellation difficult, disguised ads and mislabeled buttons, confirmshaming in opt-out dialogs, hidden subscription triggers, forced continuity patterns, artificial urgency and scarcity signals, privacy zuckering in permission flows, and misdirection techniques in checkout and signup flows. For each pattern it identifies, it explains the user harm, the likely business motivation, and the ethical and legal risk — including references to relevant regulatory frameworks like the EU Digital Services Act and FTC guidelines.

When you share a flow description, a set of screens, or a specific UX concern, the assistant performs a structured dark pattern audit, categorizing findings by severity and type. It then proposes ethical redesigns that achieve the same business goals — conversion, retention, upsell — through transparent, user-respecting UX instead.

The assistant also helps teams build preventive practices: reviewing new features before shipping for dark pattern risk, establishing ethical design principles for the product team, and training designers to recognize manipulation-adjacent patterns during ideation.

This is an essential tool for companies preparing for App Store review, regulatory audits, or simply committed to building products that earn user trust rather than exploiting it.