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How to Solve Smallest Sufficient Team Problem
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LeetCode ProblemSmallest Sufficient Team
In a project, you have a list of required skills req_skills, and a list of people. The ith person people[i] contains a list of skills that the person has. Consider a sufficient team: a set of people such that for every required skill in req_skills, there is at least one person in the team who has that skill. We can represent these teams by the index of each person. Return any sufficient team of the smallest possible size, represented by the index of each person. You may return the answer in any order. It is guaranteed an answer exists.
ArrayDynamic ProgrammingBit ManipulationBitmask
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Problem Breakdown
Understanding the Smallest Sufficient Team Problem
Let's break down this LeetCode problem and understand what makes it challenging in interview settings.
Problem Statement
In a project, you have a list of required skills req_skills, and a list of people. The ith person people[i] contains a list of skills that the person has. Consider a sufficient team: a set of people such that for every required skill in req_skills, there is at least one person in the team who has that skill. We can represent these teams by the index of each person. Return any sufficient team of the smallest possible size, represented by the index of each person. You may return the answer in any order. It is guaranteed an answer exists.
HardProblem #1125
LeetCodeSmallest Sufficient Team
Related Topics
ArrayDynamic ProgrammingBit ManipulationBitmask
How Phantom Code Helps
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Examples
# Example 1
Input
req_skills = ["java","nodejs","reactjs"], people = [["java"],["nodejs"],["nodejs","reactjs"]]
Output
[0,2]
# Example 2
Input
req_skills = ["algorithms","math","java","reactjs","csharp","aws"], people = [["algorithms","math","java"],["algorithms","math","reactjs"],["java","csharp","aws"],["reactjs","csharp"],["csharp","math"],["aws","java"]]
Output
[1,2]
Constraints
1 <= req_skills.length <= 16
1 <= req_skills[i].length <= 16
req_skills[i] consists of lowercase English letters.
All the strings of req_skills are unique.
1 <= people.length <= 60
0 <= people[i].length <= 16
1 <= people[i][j].length <= 16
people[i][j] consists of lowercase English letters.
All the strings of people[i] are unique.
Every skill in people[i] is a skill in req_skills.
It is guaranteed a sufficient team exists.
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Solve Smallest Sufficient Team — In a project, you have a list of required skills req_skills, and a list of peopl...
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def solve(input):
# Optimal O(n) solution
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Time: O(n) | Space: O(n)
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Frequently Asked Questions
Common questions about solving Smallest Sufficient Team and using Phantom Code during coding interviews.
How does Phantom Code help me solve coding problems like Smallest Sufficient Team during interviews?
Phantom Code generates complete solutions instantly with proper complexity analysis, letting you focus on explaining your approach and demonstrating problem-solving skills rather than getting stuck on implementation details during high-pressure situations.
What if the interviewer asks follow-up questions or modifications to problems like Smallest Sufficient Team?
Phantom Code adapts in real-time. Screenshot the modified problem or use audio mode to capture the interviewer's follow-up, and get an updated solution within seconds — including edge cases and optimizations.
Can Phantom Code help me communicate my solution for problems like Smallest Sufficient Team?
Yes. Phantom Code provides step-by-step approach explanations with 3 progressive thoughts, so you can walk through your solution naturally. It also provides time and space complexity analysis to discuss trade-offs.
How does Phantom Code assist with different programming languages for Smallest Sufficient Team type problems?
Phantom Code supports 11 programming languages including Python, Java, C++, JavaScript, TypeScript, Go, Rust, Ruby, Swift, Kotlin, and C#. Set your preferred language and get idiomatic solutions.
What coding mistakes does Phantom Code help me avoid during Smallest Sufficient Team interviews?
Phantom Code catches common mistakes like off-by-one errors, missing edge cases, incorrect base conditions, and suboptimal approaches. It provides clean, well-structured code that handles all edge cases.
Is Phantom Code detectable when solving problems like Smallest Sufficient Team during live interviews?
No. Phantom Code runs as an invisible desktop overlay that doesn't appear in screen shares, recordings, or proctoring software. It works with Zoom, HackerRank, CodeSignal, CoderPad, and all major platforms.
How does Phantom Code help when I'm struggling with Smallest Sufficient Team style questions under pressure?
The AI provides structured guidance: first the approach (what algorithm/data structure to use and why), then the implementation with clean code, and finally complexity analysis. This helps you think clearly even under pressure.
Does Phantom Code work for the coding platforms used in Smallest Sufficient Team interviews?
Yes. Phantom Code works with all major coding platforms including LeetCode, HackerRank, CodeSignal, CoderPad, HackerEarth, and any browser-based coding environment.
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