UX Designer Case Study Interview Questions & Answers (2026)

I'd start by understanding the user: who wastes food and why? Primary persona: busy professional household, 2 adults, cooking 3-4 times/week. They waste food because they forget what's in the fridge, buy duplicates, and don't plan meals around what they have. Key insight: the problem isn't awareness (people know food waste is bad) — it's convenience (tracking food requires effort they won't sustain). My solution: a 'Fridge Snapshot' feature. Open the app, take a photo of your fridge shelves. Computer vision identifies items and estimates freshness based on typical shelf life. The app maintains a running inventory without manual data entry. Each morning, a notification surfaces one recipe using ingredients that expire soonest. This addresses the core barrier: zero-effort inventory tracking. Key screens: Home screen showing 'Use Today' items with expiry dates, recipe suggestions using those ingredients, and a simple scanning interface. I'd validate with a 2-week diary study: 10 participants use the app and track their food waste before and after. Success metrics: 30% reduction in self-reported food waste, daily app engagement rate >40%, and recipe suggestion click-through rate >20%. The biggest risk is CV accuracy — I'd design gracefully for misidentification with easy manual correction.

Current journey: arrive at airport → find check-in area → wait in line → interact with agent or kiosk → receive boarding pass → proceed to security. The bottleneck is the queue itself, not the check-in transaction. Observations: 70% of travelers could check in online but many still use airport check-in because they have bags to check, need seat changes, or didn't know they could check in online. User segments: 1) Bag-only: already checked in, just need bag drop. 2) Full-service: need check-in and bag drop. 3) Document-check: international travelers needing document verification. 4) Assistance: travelers needing help (elderly, first-time flyers, families). Solutions: 1) Mobile pre-check: push notification 24 hours before flight with check-in link. If seat is confirmed and no bags, generate mobile boarding pass and skip the counter entirely. Target: convert 30% of travelers to fully mobile. 2) Express bag drop: separate kiosks where pre-checked-in travelers scan their boarding pass, print bag tags, and drop bags on a conveyor. No agent interaction needed. 10-second transaction vs 3-minute full service. 3) Virtual queue: instead of standing in line, scan QR code to join a virtual queue with estimated wait time. Get a notification when it's your turn. Wait in nearby seating or shops. 4) Roaming agents with tablets for assistance travelers who need help. This redistributes demand: 30% skip counter (mobile), 40% use express bag drop (30 seconds), 20% use full-service with virtual queue (no standing), 10% get roaming assistance. Net effect: physical queue length drops 80%, perceived wait drops 50%+.

Context: a restaurant manager during a Friday dinner rush has 3-5 seconds to glance at a screen. The dashboard must surface actionable information instantly — no clicks, no scrolling, no cognitive load. Key decisions during peak: 1) How long are customers waiting? (manage expectations, adjust seating strategy). 2) Which kitchen stations are backed up? (reallocate staff, manage order expectations). 3) Are any tables turning slow? (prompt check delivery, identify issues). Design: Single screen, three zones. Top zone (largest): 'Action Required' — real-time alerts in large text. Examples: 'Table 12: waiting 45+ min for entrees' (red), 'Hostess queue: 8 parties, ~35 min wait' (yellow), 'Kitchen station 3: 6 orders queued' (red). Only items requiring immediate action appear here. Middle zone: Kitchen status grid. Each station (grill, sauté, dessert) shown as a colored block — green (flowing), yellow (building), red (backed up). One glance reveals system health. Bottom zone: Key metrics in large numbers. Average wait time, covers served vs reservation count, and revenue pace vs target. Design principles: no scroll, no tap to find critical info. Color coding (green/yellow/red) for instant comprehension. Numbers large enough to read from 6 feet away. Dark mode for kitchen/dim lighting. Updates every 30 seconds without full refresh to avoid disorientation. What I'd NOT include: historical trends, detailed financial reports, or employee schedules — those are for pre/post-shift, not during rush.

The core challenge: remote teams lack the spontaneous hallway conversations, lunch meetups, and coffee chats that build relationships in offices. Forced social features (mandatory virtual happy hours) often feel awkward and create resentment. My design principle: reduce friction for social interaction rather than forcing it. Feature concept: 'Coffee Roulette' — a lightweight, opt-in weekly feature. How it works: On Monday, matched pairs or trios are suggested for a 15-minute virtual coffee. Matching is intelligent: rotate partners, consider time zones, mix departments (cross-functional connections are most valuable for innovation). The key differentiator: conversation starters. Instead of the awkward 'so what do you do' opening, the system provides a fun prompt: 'What's the best meal you've had recently?' or 'What's something you learned this week outside of work?' This removes social friction. Integration: the meeting auto-schedules during a gap in both people's calendars, with a one-tap accept/reschedule/skip. No guilt for skipping — the system quietly stops matching inactive users. Additional features: async social — a team 'watercooler' channel with daily prompts that people can respond to on their own schedule. Photo challenges ('share your workspace view'), recommendations ('what are you watching/reading'), and team wins celebrations. Sustainability: social features die when they become mandatory or high-effort. Everything must be opt-in, low-friction (15 minutes max), and genuinely enjoyable. Track engagement weekly; if participation drops below 30%, rotate the format.

Before proposing solutions, I'd dig into the research: how was 'can't find' defined? Did users look and fail, or did they never look? Which settings were they seeking? Were there differences by user segment (new vs experienced)? Common root causes for settings findability: 1) The settings icon/label isn't where users expect it. Users have strong mental models: settings in top-right corner (gear icon) for web, in profile/account area for mobile. If settings are in a hamburger menu or footer, users won't find them. 2) Settings are found but the content inside is poorly organized. Users find the settings page but can't find the specific setting they need among dozens of options. 3) Users don't think of what they need as a 'setting.' They want to 'change my notification preferences' but don't connect that to a generic 'Settings' page. Solutions ranked by impact and effort: Quick win: add a persistent settings gear icon in the global navigation (top-right for web, profile tab for mobile). This aligns with user expectations and requires minimal development. Medium effort: add a settings search bar at the top of the settings page. Users who find settings but can't find specific options can search. High effort: contextual settings access — when a user is in the notifications area, show a 'Manage notification settings' link right there, rather than requiring them to navigate to a separate settings page. Measurement: run a task-based usability test (10 participants) with the same tasks from the original research. Target: reduce 'can't find settings' from 60% to under 15%. Also track analytics: settings page visits and time-to-find for specific settings.