Wix vs Expedia: Interview Question Comparison

When preparing for technical interviews at Wix and Expedia, a strategic look at their question patterns reveals distinct focuses despite sharing common data structure fundamentals. Both companies emphasize core problem-solving skills but weight difficulty and algorithmic approaches differently, which should guide your preparation priorities.

Question Volume and Difficulty

Wix and Expedia have nearly identical total question volumes (56 vs. 54), but their difficulty distributions signal different evaluation philosophies.

Wix (56 questions: Easy 16, Medium 31, Hard 9) employs a balanced spread with a strong medium-difficulty core. The presence of 9 Hard questions indicates they probe for advanced algorithmic understanding and comfort with complex problem decomposition, likely for senior or specialized technical roles.

Expedia (54 questions: Easy 13, Medium 35, Hard 6) leans more heavily into Medium-difficulty problems, which form nearly 65% of their question bank. This suggests a focus on robust, practical problem-solving skills applicable to backend systems, logistics, and optimization—core to their travel business. The lower count of Hard questions implies slightly less emphasis on extreme algorithmic complexity.

Topic Overlap

Both companies heavily test Array, String, and Hash Table manipulations. These form the essential toolkit for most coding interviews. The key differentiator lies in their secondary focuses.

Wix prominently includes Depth-First Search (DFS). This points to questions involving tree/graph traversal, pathfinding, backtracking, and component analysis—common in UI rendering, site structure, or dependency resolution scenarios.

# Example DFS pattern (Tree Traversal)
def dfs(node, target):
    if not node:
        return False
    if node.val == target:
        return True
    return dfs(node.left, target) or dfs(node.right, target)

Expedia features Greedy Algorithms as a distinct topic. This aligns with optimization problems typical in travel tech: scheduling, resource allocation, minimizing cost or maximizing efficiency, often requiring locally optimal choices.

# Example Greedy pattern (Activity Selection)
def max_activities(activities):
    activities.sort(key=lambda x: x[1])  # Sort by finish time
    count, last_end = 0, 0
    for start, end in activities:
        if start >= last_end:
            count += 1
            last_end = end
    return count

Which to Prepare for First

Start with the shared foundation. Master array/string manipulations and hash table applications, as these are guaranteed to appear in interviews at both companies. Practice common patterns like two-pointers, sliding window, and prefix sums.

If your interview timeline is near, prioritize based on the company:

• For Wix, dedicate significant practice to DFS and tree/graph problems. Ensure you can handle recursion, iterative traversal, and backtracking variations.
• For Expedia, drill into Greedy algorithms and medium-difficulty optimization problems. Focus on proving correctness for your greedy choices and solving scheduling/interval problems.

Given the heavier medium-difficulty focus, Expedia's question bank might be slightly more predictable for general preparation. However, if you are aiming for a role involving UI, rendering, or complex data structures at Wix, their inclusion of Hard DFS problems requires deeper, more specialized study.

Ultimately, build core competency first, then branch into the company-specific algorithmic emphasis.

Practice questions for Wix: /company/wix Practice questions for Expedia: /company/expedia