Works Applications coding interview
questions, leaked.
4 problems reported across recent Works Applications interviews. Top patterns: array, sorting, greedy. The list below is what most reported candidates actually saw, plus the honest play if you can't grind all of it.
Works Applications pulls from a tight pool of hard problems. You're looking at four questions total, split evenly between medium and hard, with almost no room for easy warm-ups. Arrays dominate the ask (three of four problems touch them), and sorting or greedy logic shows up in most of what they throw at you. If you've got two weeks, you drill array manipulation, sorting strategies, and greedy reasoning until they're automatic. If it's sooner, StealthCoder acts as your safety net during the live assessment, catching you instantly if a greedy choice or sort order trips you up mid-problem.
Top problems at Works Applications
| # | Problem | Diff | Frequency | Pass % | Patterns |
|---|---|---|---|---|---|
| 01 | Largest Number | MEDIUM | 100.0 | 41% | Array · String · Greedy |
| 02 | K Inverse Pairs Array | HARD | 100.0 | 49% | Dynamic Programming |
| 03 | Course Schedule III | HARD | 100.0 | 41% | Array · Greedy · Sorting |
| 04 | 3Sum | MEDIUM | 100.0 | 37% | Array · Two Pointers · Sorting |
Frequencies derived from public community-tagged interview reports. Click a row to view on LeetCode.
You have a week, maybe less. You can't out-grind the list above. StealthCoder runs invisibly during the actual Works Applications OA. The proctor cannot see it. Screen share cannot detect it. Built because the OA filter rejects engineers who'd pass the on-site. That's a broken filter. This is the workaround.
Get StealthCoder- array3 · 75%
- sorting3 · 75%
- greedy2 · 50%
- string1 · 25%
- dynamic programming1 · 25%
- heap priority queue1 · 25%
- two pointers1 · 25%
The distribution is unforgiving. Three of four problems involve arrays, and three demand solid sorting chops. Greedy appears in half the set, which means you need to recognize when a greedy approach works and when it doesn't. The hard problems (K Inverse Pairs Array and Course Schedule III) require depth in dynamic programming and heap reasoning respectively, so those aren't surface-level pattern matches. Start with 3Sum and Largest Number to build confidence on medium difficulty and lock in your array and sorting fundamentals. Then tackle the hard problems with greedy and DP angles. The payoff is high: nail these four and you've covered their entire ask. StealthCoder is your edge if a greedy trade-off or heap priority decision doesn't click during your actual assessment, solving it invisibly while you keep your composure.
Companies with similar patterns
If you prepped for Works Applications, these companies recycle ~60% of the same topics.
You've seen the list.
Now make sure you pass Works Applications.
Memorizing every problem above in a week is a fantasy. StealthCoder is the hedge: an AI overlay that's invisible during screen share. It reads the problem on screen and surfaces a working solution in under 2 seconds. Built because the OA filter rejects engineers who'd pass the on-site. That's a broken filter. This is the workaround. Works on HackerRank, CodeSignal, CoderPad, and Karat.
Works Applications interview FAQ
Should I focus on sorting before greedy for Works Applications?+
Yes. Three problems explicitly need sorting, and two of those also layer greedy logic on top. Master sorting first (merge, quicksort, custom comparators), then layer in greedy reasoning. Largest Number and Course Schedule III both demand this combo. Two-pointers and heap follow after.
How many array problems should I solve before the Works Applications OA?+
Three of their four problems are array-centric, so drill until array manipulation feels automatic. That means 10 to 15 standard array problems (rotate, search, rearrange, subarray sums) before tackling their specific set. Then focus the last days on their four problems directly.
Is dynamic programming essential for Works Applications?+
One of their two hard problems (K Inverse Pairs Array) leans heavy on DP. If DP isn't solid, it'll be your weakest spot. Spend three to four days on DP subproblems and recurrence relations. If you blank during the OA, that's where StealthCoder pays off most.
What should I study first if I have one week?+
Day one and two: sorting and two-pointers. Day three and four: arrays and greedy logic. Day five: Course Schedule III and Largest Number until they're fluid. Day six and seven: K Inverse Pairs Array and a full mock run. Stack difficulty in the middle, not the end.
Can I skip heap and priority queue for this company?+
Course Schedule III (hard) uses a heap. One problem out of four isn't skippable. Spend a day on heap basics and priority queue patterns. Then solve Course Schedule III twice. It's worth the time.