Mental Models

Jakob's Law

Why users prefer familiar interfaces

Key Insight

Users spend most of their time on other sites and prefer your site to work the same way.

Key Points

  • Users transfer expectations they have built around one familiar product to another that appears similar
  • Mental models are internal representations of how systems work, built from cumulative experience across all products
  • By leveraging existing mental models, we create superior UX where users focus on tasks rather than learning new models
  • Fighting conventions forces users to relearn, increasing cognitive load and friction
  • When making changes, minimize mental model mismatch by letting users continue using a familiar version temporarily
  • Familiarity helps users know immediately how to use a product—from navigation to layout to visual cues
  • The less mental energy spent learning an interface, the more users can dedicate to achieving their objectives
  • Snapchat's 2018 redesign failed by launching major changes without gradual iteration—users migrated to Instagram
  • Google succeeds by letting users opt-in to redesigns (YouTube 2017, Gmail, Calendar)—preview, submit feedback, revert if needed
  • [FIGURE 1-1 — Form controls origin] Shows: Side-by-side comparison of physical control panel (toggles, knobs, buttons) and digital form elements (toggles, radio buttons, checkboxes). Teaches: Digital UI elements inherit mental models from physical counterparts—affordances are clear because they map to real-world controls. Reproduce as: Interactive comparison showing physical control → digital equivalent with shared affordance.
  • [FIGURE 1-2 — YouTube 2017 redesign] Shows: Before/after screenshots of YouTube desktop interface transitioning to Material Design. Teaches: Google mitigated mental model mismatch by letting users preview, provide feedback, and revert—gradual adoption reduces friction. Reproduce as: Slider or toggle showing old vs new design with annotation of what changed.
  • [FIGURE 1-3 — Etsy mental models] Shows: Etsy product listing page with familiar e-commerce patterns (grid layout, filters, cart, search). Teaches: E-commerce sites leverage preexisting mental models so customers focus on purchasing, not learning the interface. Reproduce as: Annotated screenshot highlighting conventional patterns (search placement, cart icon, filter sidebar).
  • [FIGURE 1-4 — Mercedes seat controls] Shows: Car door panel with seat adjustment buttons shaped like a seat silhouette. Teaches: Physical products also use mental model mapping—controls shaped like the thing they control are immediately understood. Reproduce as: Diagram showing seat shape → control shape correspondence.
  • [FIGURE 1-5 — Apple Vision Pro UI] Shows: VisionOS interface with familiar components (windows, sidebars, tabs, search fields) floating in space. Teaches: New technology (spatial computing) succeeds by building on existing mental models—windows, tabs, and search work as users expect. Reproduce as: Annotated mockup showing familiar UI patterns in spatial context.
  • [FIGURE 1-6 — User persona example] Shows: Template of a user persona with photo, name, bio, goals, frustrations, and insights sections. Teaches: Personas help teams understand users' preexisting mental models and design accordingly—grounded in real user research. Reproduce as: Interactive persona template with fillable sections.

Guidelines

  • Begin with common patterns and conventions; depart only when it makes sense
  • Place navigation where users expect it (top, left sidebar)
  • Use standard icons for common actions (hamburger = menu, magnifying glass = search)
  • Follow platform conventions for mobile (tab bars) vs. desktop (sidebars)
  • If you must deviate from convention, provide strong affordances and test rigorously
  • When launching redesigns, let users opt-in and revert—don't force sudden changes
  • Use design systems and established patterns as your starting point
  • Study competitor and category-leader interfaces to understand user expectations
  • Use personas, journey maps, and empathy maps to understand users' preexisting mental models

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