No trick questions.
40 min coding tests.
500+ ready-to-use tests.

No puzzles. No niche algorithms.

Traditional pre-employment coding tests use the equivalent of computer science puzzles or niche algorithms that no programmer uses on the job.

While it's good if a candidate good at solving puzzles (this skill can be improved with practice), this is not a strong indicator of how good of an engineer someone is. Also, this way of measuring a developer's programming skills has an inherent bias against more experienced developers.

Score distribution

The actual score distribution will vary based on your candidate pipeline quality, but you should typically expect ~20% of the candidates to do well on Adaface coding tests.

The score distribution for our coding assessments follow the normal curve. This is a good sign- standardized tests like SAT and GRE follow the normal distribution (bell curve).

Status quo assessments typically have the exact opposite of the bell curve (too many candidates getting close to 0, too many candidates getting close to 100 and too few candidates in the middle). This is typically because they focus on theoretical questions or trick questions, which are very binary in nature- either you know the trick/ theory or you don’t.

40 min coding tests =
8 MCQs + 1 coding question

Over the course of hundreds of thousands of coding tests for 1500+ companies globally, we have tested & seen that a combination of code tracing MCQ questions & 1 coding question is highly predictive of candidate's programming ability.

Designed for elimination, not selection

The most important thing while implementing pre-employment coding tests in any hiring process is that it is an elimination tool, not a selection tool. In other words: you want to use the test to eliminate the candidates who do poorly on the test, not to select the candidates who come out at the top.

While they are super valuable, coding tests do not paint the entire picture of a candidate’s programming ability, knowledge, and motivation.

20+ programming languages

50+ frameworks