Qualified partners with the world’s leading technology and educational institutions to evaluate, educate, and certify software engineers at scale
Qualified’s automated scoring tools save developer time that would otherwise be spent scoring coding submissions.
Easily embed assessments within your own content, curriculum, or workflows. Qualified powers the assessments—you control the user experience.
Generate detailed reports that showcase demonstrated skills and can be used to accelerate continuous improvement initiatives.
Assess technical competency in a real environment, that features a developer-friendly IDE, rich language features, and modern unit-testing frameworks.
Visit our site on a desktop computer to take a Qualified Demo Assessment.
Choose a language or framework below to start a Qualified Demo Assessment
Contact our sales team to get a quick interactive demo of how Qualified's automated tests work.
Choose from our library of professionally built coding assessments or create your own custom coding projects. Our learning and assessment tools are designed to help companies capture coding samples with real world relevance, giving developers the opportunity to demonstrate in-demand technical skills.
Deliver assessments within your own content or leverage our web IDE, complete with integrated test frameworks for each language (Mocha, Rspec, PHPUnit, JUnit, etc). Unit tests drive our automated scoring, allowing developers to perform in a familiar environment that evaluates them consistently and objectively.
Qualified’s suite of code review tools automate scoring, provide detailed benchmarking statistics, and check for code similarity so you know that code submissions represent original work.
Watch detailed code playback or turn any assessment into a pair-programming session to talk through assessments and glean insights into each developers’ thought process and problem solving abilities.
There is a plethora of research that outlines exactly how companies can build a hiring process for software engineers that's predictive of their on-the-job performance. Yet the tech industry at large has all but ignored these practices, opting instead for antiquated hiring processes with low predictive validity…