We curate highly accurate skill-wise assessments for each job role
Our tests assess each and every skill relevant to the job role
ML-backed reliability models ensure that our tests are accurate
We guarantee bias-free evaluation with purely skill-based assessments
Hire developers the scientifically sound way
We believe that all our users should have complete visibility and control over the tests created on our platform. That’s why we ensure that all our users have the freedom to tune their tests to exactly the configuration they need. Here is how we achieve this.
Test reliability scores
Every test that you create comes with a reliability score. This score is a result of our question library and tests being validated by 3 separate groups: the Reference Group, the Sample Group, and the Target Group.
Test difficulty indicators
Our platform gives you the ability to rank questions against a global benchmark. In other words, we help you understand how difficult your test is, in comparison to the tests created by everyone else that uses the platform.
Exhaustive coding tests
Thanks to our question bank of 17,000+ validated questions, you can be sure that a HackerEarth coding test is well and truly holistic. In other words, our tests cover all bases and ensure a holistic evaluation of every candidate.
Drill-down performance analytics
Our test engine gives you a look at the more granular details of a candidate’s abilities by letting you analyze the finer aspects of their performance, such as individual questions or code quality, and comparing it to other candidates that take similar tests.
Biased towards being unbiased
An adverse impact study of HackerEarth assessments revealed that our tests do not carry any implicit biases. The test revealed that there were no statistically significant differences in test performances between test takers of different genders, ages, pedigree or ethnicity.Read more