Certified assessments are CodeSignal's suite of validated assessments that are built, proctored, and maintained by our internal team of experts.
What are the benefits of using certified assessments?
- Reduce engineering time spent on building & maintaining assessments
- Screen candidates at scale while reducing time-to-hire
- Increase diversity in candidate pipeline
- Reduce bias by eliminating or supplementing resume review
- Advance candidates with confidence using CodeSignal’s predictive Coding Score
- Improve candidate experience with assessment results candidates can share widely
- Minimize plagiarism with (optional) proctored evaluations
When should I use certified assessments?
CodeSignal's certified assessments are ideal for:
- Assessing candidates at the top of the recruiting funnel
- Scaling university, new grad, and early career technical hiring (See General Coding Assessment below)
- Supporting diversity, equity, and inclusion (DE&I) recruiting initiatives
CodeSignal's certified assessments
The following certified assessments are currently available:
- General Coding Assessment: the industry standard for evaluating core programming skills at scale. It is ideal for screening early career and new grad candidates at the top of the recruiting funnel. The General Coding Assessment includes over 628,000 variations to minimize cheating, and candidates can take the assessment in any of CodeSignal's 45 supported programming languages. To learn more about the research behind the GCA, read our white paper:
- Industry Coding Assessment: assesses the skills of mid- to senior-level software engineers that have industry experience. To learn more about the research behind this assessment, read our white paper:
- Data Analytics Assessment: assesses core data analytics skills at scale. To learn more about the research behind this assessment, read our white paper:
- Front End Assessment: assesses front end software development skills at scale. To learn more about the research behind this assessment, read our white paper:
- Machine Learning Core Assessment: assesses core skills for Machine Learning at scale. To learn more about the research behind this assessment, read our white paper:
- System Design Assessment: assesses core system design skills at scale. To learn more about the research behind this assessment, read our white paper:
- Quality Assurance Engineer Assessment: assesses core quality assurance engineering skills, including manual, component, api and end-to-end testing as well as test maintenance.