Measure your candidates
on job skills, personality and fit
This culture add test assesses how a candidate’s values and behaviors align with your organization values and the behaviors that would make your ideal hire successful in a specific role, based on a customized survey you fill out.
This critical thinking test evaluates candidates’ skills in critical thinking through inductive and deductive reasoning problems. This test will help you identify candidates who can evaluate information and make sound judgments using analytical skills.
This numerical reasoning test evaluates candidates’ general aptitude with numbers and their skill in interpreting them for a wide range of applications. This test will help you identify candidates with strong numerical skills.
This problem solving test evaluates candidates' ability to define problems and analyze data and textual information to make correct decisions. This test helps you identify candidates who use analytical skills to evaluate and respond to complex situations.
The DISC test is based on the model developed by psychologist William Marston for behavioral assessment. It classifies how we express emotions into the four behavior types of DISC: dominance (D), influence (I), steadiness (S), and conscientiousness (C).
The time management test evaluates candidates’ ability to manage their time well in a professional environment. Through typical workplace scenarios, this test assesses how well candidates can prioritize, plan, execute, and reflect on tasks and projects.
This UX/UI design test evaluates candidates' knowledge of the overall UX/UI design process and their ability to turn feature requirements into useful and intuitive designs for digital products that provide a great experience to your users.
This spatial reasoning test evaluates a candidate’s ability to analyze 2-dimensional and 3-dimensional objects and space. This test is relevant for STEM-related jobs (Science, Technology, Engineering, and Math) and analytical skills testing.
This data science test assesses candidates’ skills in core data science topics such as statistics, machine learning, neural networks, and deep learning. The test is designed to help you identify entry- and mid-level data scientists.
This software engineer test evaluates candidates’ knowledge of the basic principles and topics of software engineering. The test helps you identify candidates who can approach problems using “software engineer thinking” to find the best solution possible.
Working with data
The Working with data test evaluates candidates' ability to work with data, including handling data correctly and performing basic data analysis. This test helps you identify candidates who understand how to work with data to track and present results.
Rooted in Oldham & Hackman’s Job Characteristics Model, the job preferences test measures the extent to which your candidates' expectations align with your job offer, based on a customized survey that you and the candidate both fill out.
C (coding): language-specific concepts
This C coding test evaluates a candidate's procedural programming skills, as well as their ability to use pointers, references, and manage memory. This test will help you identify and hire mid-level C developers.
Clean code is the hallmark of a quality software engineer. Clean code can be the difference between wasting thousands on a project versus doing it right the first time. This screening test validates an engineer’s ability to write easy to maintain code.
The DevOps test assesses candidates’ knowledge of DevOps concepts and practices and whether they can apply that knowledge to improve infrastructure, achieve faster time to market, and lower failure rates of new releases.