Streamlining Recruitment Process
March 03, 2022

Streamlining Recruitment Process

Daksh Bhuva | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with CodeSignal

We use Code Signal to prepare for interviews for intern and full-time positions. We've spent a lot of time solving problems involving data structures and algorithms, which are crucial for any interview or assessment of any company. The puzzles on arrays, strings, linked lists, hash maps, and specific interview preparation material greatly aided us in cracking the interviews and attaining our dream jobs at our dream businesses. The preparation plan is highly extensive, and the programming questions are up to industry standards, allowing us to judge the complexity level of the challenges we might encounter during the interviews.

Pros

  • Clear problem description & Edge Cases
  • Candidate performance evaluation
  • LeaderBoard & Rewards

Cons

  • Company Interview Preparation
  • Better and Interactive User Interface
  • Stricter Proctored exam
  • Performance Metrics
  • Code Debugger
  • Technical Reliability
  • Expedites Recruiting Process
  • User Interface
  • Site Reliability
As compared to other alternatives CodeSignal provided an exciting and user-friendly user interface that allowed me to keep pushing whatever I was working on, expanding my skillset and supporting me in achieving my objectives in a short amount of time. In terms of the amount of time and care it commits to guaranteeing user satisfaction and leaving no stone behind in the process, the platform is remarkable.

Do you think CodeSignal delivers good value for the price?

Yes

Are you happy with CodeSignal's feature set?

Yes

Did CodeSignal live up to sales and marketing promises?

Yes

Did implementation of CodeSignal go as expected?

Yes

Would you buy CodeSignal again?

Yes

CodeSignal is suitable for non-proctored as well as proctored online exams that need to accommodate a variety of languages. The user will feel at ease while completing the test because of the simple user interface, which includes features such as autosave, autocomplete, non-invasive timer, and tips. It is less suited in cases when companies wish to hire data scientists because a much more interactive test environment, such as Jupyter Notebook, is necessary. As a result, it is currently unsuitable for Machine Learning studies, however, this can be addressed.

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