Start with a familiar UI problem
Practice global ownership, visible limits, timer cleanup, and accessible announcements in a junior-sized prompt.
Design a toast notification systemArchitecture interview prep
Use each card's timebox for a focused first pass, then expand the same decisions with the separate 45-minute RADIO interview template.
Common questions
These core frontend system design patterns cover application architecture, UI component systems, realtime interfaces, AI product workflows, and senior/staff tradeoff rounds.
Start here
Follow this four-step path when you are new to the bank, then use the filters to choose focused practice.
Practice global ownership, visible limits, timer cleanup, and accessible announcements in a junior-sized prompt.
Design a toast notification systemUse Requirements, Architecture, Data, Interface, and Optimizations to make your decisions easy to follow.
Open the RADIO frameworkMove to IME-safe sending, attachment readiness, stop/retry behavior, and stale stream protection.
Design an AI chat composerDefend drag, resize, persistence, migration, performance, and ownership decisions across responsive layouts.
Design a customizable dashboardQuestion bank
23 prompts shown
UI component systems
A dismiss timer racing a user action must remove one toast once while overflow waits and announcements do not repeat.
UI component systems
A lost payment response and competing browser tabs must converge without duplicate charges, stale totals, exposed card data, or false completion.
Application architecture
Page retries and changing results must extend a long list without duplicates, scroll jumps, unbounded DOM growth, or an inaccessible loading trap.
UI component systems
A late autosave must never overwrite newer edits while users change steps, restore drafts, resolve conflicts, and recover submission.
Realtime and data-heavy UI
A slower old query must never replace newer results while cancellation, caching, empty states, and keyboard navigation remain predictable.
UI component systems
Cancel, retry, and finalize may arrive out of order; previews, progress, object URLs, and errors must still converge safely.
Application architecture
Offline study sessions must merge progress without losing answers while reveal controls, feedback, motion preferences, and synchronization stay accessible.
AI product workflows
An old Send, Stop, or stream event must never change the active reply while IME input, attachments, and drafts remain intact.
AI product workflows
An accepted image job may stall, retry, or finish after Cancel; the UI must show honest progress and recover safe media.
AI product workflows
AI-proposed record changes require versioned approval, then must expose partial success, Cancel races, and verified rollback honestly.
UI component systems
A support-inbox mock must become clear component, URL, server, and draft boundaries without focus loss or contradictory optimistic state.
Application architecture
Connectivity recovery must preserve newer local drafts, avoid duplicate sends, and explain whether each action is queued or confirmed.
AI product workflows
Late spans, tool calls, and approvals must reconstruct one trustworthy run without exposing redacted data or losing keyboard navigation.
Realtime and data-heavy UI
Rapid swipes and weak networks must keep one video responsive without runaway preloading, media-memory growth, or a broken recovery path.
Realtime and data-heavy UI
Reconnects and traffic bursts must preserve notification order and unread meaning without duplicate items, unbounded storage, or a frozen feed.
Realtime and data-heavy UI
Bursty comments and late moderation events must converge without unreadable auto-scroll, reordered messages, or inaccessible controls.
Application architecture
Progress from multiple devices must reconcile into a stable Continue Watching row without focus loss, stale percentages, or wasteful media loading.
UI component systems
Drag and resize must stay responsive while layouts persist safely across conflicts, migrations, keyboard input, and responsive breakpoints.
Realtime and data-heavy UI
Bursty samples can arrive faster than paint; the chart must bound memory, recover gaps, and remain readable without inventing data.
UI component systems
A component release must evolve tokens and APIs without silently breaking accessibility, themes, consumers, or the migration path.
Application architecture
Two devices may edit the same preference from stale revisions without creating conflicts for unrelated settings.
AI product workflows
Metric streams can reconnect with gaps or stale runs; comparisons must resume without implying missing samples are current.
Realtime and data-heavy UI
Ranked pages and live updates must merge without duplicate stories, scroll jumps, unbounded rendering work, or client-invented order.
Choose your focus
Use these related practice areas when a design prompt exposes a coding, JavaScript, guided-plan, or company-prep gap.
What gets tested
Strong answers explain how UI behavior, network data, component contracts, and performance constraints fit together under product pressure.
Clarify users, success metrics, latency, device constraints, and edge cases before drawing UI boxes.
Split client state, server data, rendering paths, routing, and ownership boundaries into defendable pieces.
Define the entities, cache keys, pagination windows, optimistic updates, and stale-data behavior.
Explain component contracts, accessibility states, loading/error UX, and interaction affordances.
Choose tradeoffs for performance, virtualization, streaming, resilience, monitoring, and graceful degradation.
Question formats
The bank separates product-scale app architecture, component systems, realtime UI, and AI product workflows so practice does not become random prompt browsing.
Dashboards, feeds, preferences, multi-step flows, and feature slices where ownership and data flow matter.
Design systems, forms, uploaders, toasts, drag/drop, accessibility states, and reusable contracts.
Notifications, live comments, charts, streams, infinite scroll, caching, and high-frequency updates.
Streaming chat, image generation, model-progress dashboards, resilience, cancellation, and user control.
How to answer
Read the framework once, then use the prompt bank above to drill one part of the answer at a time.
Frontend system design interview rubric
Strong answers are judged on architecture quality, user-visible failure handling, and how clearly you explain tradeoffs under changing constraints.
Defines users, scope, non-goals, scale, latency, and success metrics.
Shows rendering strategy, state boundaries, route ownership, and service contracts.
Separates server data, client state, cache, optimistic queues, and transient UI state.
Explains payloads, pagination, mutations, realtime events, retries, and cancellation.
Covers component APIs, loading/error/empty states, keyboard behavior, and announcements.
Sets budgets, chooses optimizations, handles failure modes, and adds observability.
Narrates tradeoffs clearly and adapts when requirements change.
Common mistakes
The most common failures are not missing a library name; they are unclear scope, weak state ownership, and untested tradeoffs.
Clarify scope, users, scale, and success metrics before drawing the component tree.
Separate local UI state, shared client state, server state, cache state, and hot interaction state.
Name SSR/CSR tradeoffs, cache keys, freshness rules, invalidation, and perceived performance.
Include keyboard flows, ARIA states, safe rendering, auth boundaries, retry, and fallback behavior.
Explain why the chosen architecture beats at least one alternative under the given constraints.
Premium preview
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FAQ
A frontend system design interview is an architecture round focused on client-side decisions: rendering strategy, state ownership, API contracts, caching, accessibility, performance, resilience, and product tradeoffs.
Start with a familiar UI boundary such as a toast notification system, then move to autocomplete, infinite scroll, realtime interfaces, and senior-level dashboards as the tradeoffs become harder.
Common prompts include infinite scroll, autocomplete search, notification systems, news feeds, chat interfaces, dashboards, design systems, file upload components, and realtime collaboration surfaces.
Frontend system design still needs backend awareness, but the scoring centers on UI architecture, rendering, browser performance, accessibility, client/server state boundaries, and failure states users can see.
Start with app architecture when the prompt is product-scale, such as feeds or dashboards. Start with UI component architecture when the prompt is an interaction-heavy component, such as autocomplete, modal, upload, or design system primitives.