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.
SQLite (coding): intermediate-level querying
This SQLite coding test evaluates candidates' skills in creating a query on a database with medium complexity. It immerses the candidate in a realistic scenario, and solving it requires intermediate SQLite querying skills.
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.
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.
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.
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.
Python (coding): working with arrays
This Python coding test evaluates candidates’ ability to work with arrays. The test gives candidates 30 minutes to create a short algorithm involving arrays while taking into consideration all the requirements provided.
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.
Software engineer
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.
Python (coding): entry-level algorithms
This coding test assesses a candidate's ability to program a small algorithm in Python, testing their basic programming skills. Using a short and straightforward coding task, this test helps you identify developers with the most essential Python skills.
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.
Python (coding): data structures & objects
This Python data structures & objects test evaluates your candidate's object-oriented programming skills. In 30 minutes, they will work with Python objects and implement a data structure. This test will help you hire mid-level Python developers.
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.
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.
Python (coding): debugging
This Python debugging test evaluates candidates' ability to interpret Python code and debug it according to a set of given requirements. The test gives candidates 30 minutes to read through requirements and fix a partially working script.
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.
