Measure your candidates
on job skills, personality and fit
Culture add
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.
Algorithms for Software Engineering
The algorithms for software engineering test evaluates candidates’ knowledge of algorithmic approaches and their ability to solve situational tasks using them. This test helps you identify programmers who are proficient in applying algorithms.
Critical thinking
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.
Matplotlib
This Matplotlib test evaluates candidates’ knowledge of Matplotlib and their ability to solve situational tasks using the Python library’s functionalities. The test will help you identify candidates who are proficient in Matplotlib.
Cybersecurity
This Cybersecurity test evaluates candidates’ technical knowledge of cybersecurity and their ability to comprehend important key fields such as endpoint, network, and web security. This test will help you identify experts for various cybersecurity roles.
MongoDB
The MongoDB test evaluates candidates’ skills in the database solution and their ability to apply best practices for security, infrastructure, performance, and reliability. This test helps you identify candidates with strong MongoDB skills.
Machine Learning
This machine learning (ML) test assesses candidates’ technical knowledge of core machine learning concepts such as regularization, classification, and unsupervised learning. This machine learning test will help you to identify developers proficient in ML.
SQLite (coding): entry-level database operations
This SQLite coding test evaluates candidates' ability to manipulate a database with low complexity and create a query that satisfies given requirements. It immerses candidates in a realistic scenario, and solving it requires entry-level SQLite skills.
PyTorch
This test evaluates candidates’ knowledge of PyTorch and their ability to solve situational tasks using it. The test will help identify developers who are proficient in PyTorch and capable of implementing various deep learning models using the framework.
Data science
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.
Rust
This Rust test evaluates a candidate’s knowledge of Rust. This screening test will help you hire Rust developers who can create software using Rust and read Rust code written by others.
Spring
This test will evaluate candidates' skills in using the Spring framework for Java. The test focuses on the most commonly used Spring features, as well as Spring Boot, and will help you identify candidates who have a strong grasp of the framework.
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.
Motivation
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.
Exploratory data analysis
This exploratory data analysis (EDA) test evaluates a candidate's ability to understand and statistically interpret data to derive actionable insight. This hiring test helps you identify candidates well versed in EDA and various statistical analyses.
Numerical reasoning
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.
Deep Learning
This Deep Learning (DL) test evaluates candidates’ knowledge and ability to solve situational tasks using DL. This screening test will help you hire developers who are proficient in DL and capable of using it to solve business problems.
Visual Basic for Applications (VBA)
This Visual Basic for Applications (VBA) test evaluates candidates’ technical knowledge of VBA and their ability to apply it in real situations. This VBA test focuses on core VBA skills as well as using VBA with Microsoft Excel.
16 types
Based on the work of Carl Jung, the 16 types test gives insight into a candidate’s source of energy, the way they process information, how they make decisions, and the kind of lifestyle they prefer.
Clean code
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.