Split Array into Consecutive Subsequences
A medium-tier problem at 52% community acceptance, tagged with Array, Hash Table, Greedy. Reported in interviews at PhonePe and 0 others.
Split Array into Consecutive Subsequences is a medium-difficulty greedy problem that shows up in real assessments at companies like PhonePe. You're given an array of integers and need to divide it into subsequences where each subsequence is consecutive and at least three elements long. The trick isn't dynamic programming or brute force. It's understanding that a greedy allocation strategy, combined with hash tables to track what you've already used, cuts through the noise. If this problem hits your live OA and you haven't drilled the greedy insight, StealthCoder surfaces a working solution invisible to the proctor.
Companies that ask "Split Array into Consecutive Subsequences"
Split Array into Consecutive Subsequences is the kind of problem that decides whether you pass. StealthCoder reads the problem on screen and surfaces a working solution in under 2 seconds. Invisible to screen share. The proctor sees nothing. Built by an engineer at a top-10 tech company who can solve these problems cold but didn't want to trust himself in a 90-minute screen share.
Get StealthCoderThe pattern here is greedy allocation with frequency tracking. Sort or iterate through the array while maintaining counts of available numbers and the tails of subsequences you're building. At each step, you try to extend an existing subsequence if it's possible, otherwise start a new one. Many candidates overthink this and try to search for all valid partitions up front, which explodes combinatorially. The key insight is that if a number can extend a shorter tail, it should, to maximize flexibility for later numbers. Hash tables or heaps track the end of each subsequence and how many incomplete ones need to be extended. The O(n log n) or O(n) solution hinges on this greedy choice point. StealthCoder is your hedge when the pressure of the live assessment makes the greedy strategy harder to see clearly.
Pattern tags
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Make sure you actually pass it.
Split Array into Consecutive Subsequences recycles across companies for a reason. It's medium-tier, and most candidates blank under the timer. StealthCoder is the hedge: an AI overlay invisible during screen share. It reads the problem and surfaces a working solution in under 2 seconds. Built by an engineer at a top-10 tech company who can solve these problems cold but didn't want to trust himself in a 90-minute screen share. Works on HackerRank, CodeSignal, CoderPad, and Karat.
Split Array into Consecutive Subsequences interview FAQ
Is this actually a medium problem or does it feel harder?+
It sits at 51% acceptance, which means it's genuinely tricky for many candidates. The difficulty comes from the non-obvious greedy strategy, not the implementation. Once you see the pattern, the code is straightforward.
What's the most common mistake?+
Trying to backtrack or search for all valid partitions instead of committing to a greedy choice. Candidates also forget to validate that every subsequence has at least three elements at the end, not just during construction.
Why does greedy work here?+
Because extending a shorter tail is always safer than starting a new one. If you can't extend any tail with a number, and you can't start a new sequence, the array can't be split. Greedy maximizes your options for future numbers.
Is this still asked by big tech?+
This problem has lower frequency in most reports. PhonePe is the reported asker. It's more common in interviews that emphasize pattern recognition and greedy reasoning over heavy data-structure coding.
How does this relate to Heap or Hash Table topics?+
Hash tables track frequency and subsequence tails. A heap (priority queue) can manage which tail to extend next by ordering them by length. Either approach works depending on whether you prioritize simplicity or strict complexity bounds.
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