Screen Applicants for Free with Triplebyte

Triplebyte Screen is a fast, accurate way to measure programming ability in your applicants. Rather than focusing exclusively on a small number of algorithm problems (like other popular engineering screening services), Triplebyte Screen uses a large library of questions covering programming logic, system design, CS fundamentals, front-end engineering, iOS and Android. Triplebyte Screen has been trained on 80,000 engineers over the last 3 years. The result is stunningly accurate. 90% of candidates who score a 5/5 on the test go on to pass interviews with senior engineers, while less than 5% of candidates who score a 1/5 or 2/5 go on to pass interviews.

Triplebyte Screen is a developer assessment tool used as a tech screen in a hiring process to pre-screen inbound applicants. Our tech screening tool uses Triplebyte’s data-backed tech assessments to measure actual technical skills. Leveraging the Triplebyte Screen code assessment tool lets you see skills data side-by-side with an applicant’s resume, reduces wasted interviews, and helps find hidden gems from underrepresented backgrounds.

We offer a wide range of engineering skills tests, including:

Algorithms & Data Structures

Test understanding of behavior and use-cases of common algorithms and the data structures that support them.

General Coding Logic

Test ability to read and analyze code written by someone else. Candidates do not write code on this quiz.

Languages - Java, JavaScript, Python, Rust, Go, C++, C#, SQL or React

Pick a language to test understanding of core syntax and distinguishing features for that language (does not directly test code problem-solving).

Machine Learning

Test understanding of general ML theory, like the use cases of different model types and common failure modes.

Data Warehousing/ETL

Test understanding of handling big data, like ingestion, orchestration, processing, and cleaning.

Apache Spark

Test understanding of distributed data processing with Spark.

Data Science

Test knowledge of data science, including data preparation, experiment design, statistical and probability theory, and common ML models.

Mobile - iOS or Android

Pick an ecosystem to test theoretical and practical understanding of core APIs, tools, architecture, performance, and troubleshooting.

Timed Coding

Test hands-on code problem-solving skills, productivity, and accuracy. You can review the code written by the candidate. Timed Coding has replaced the Coding Exercises block.

Web - Front-end

Test conceptual understanding of general front-end development, independent of any specific framework.

Web - Back-end

Test conceptual understanding of general back-end development (like databases, API endpoints, and common architectural components).

Dev Automation

Test knowledge of development infrastructure, e.g. build and test automation and CI services like Travis and CircleCI.

Distributed Computing

Test knowledge of cloud computing, microservices, and container orchestration.

Linux CLI

Test knowledge of the Linux command line, especially in the context of sysadmin/DevOps tasks.

Companies use Triplebyte Screen to hire engineers across various industries, from fintech, healthcare, crypto, freight, and logistics, to home improvement, analytics, AI, biotech, and more. Coinbase, Arbor, Ripple, Carta, Dataminr, Aperio and many others are currently using Screen to hire engineers for their teams. But you don’t have to take our word for it — here’s what a few of our users have to say:

• Read how Flexport uses Screen to make their hiring process fast and efficient.

• Learn why Ava Labs switched from HackerRank to Triplebyte Screen after testing the two assessment options head-to-head.

We tested both - multiple choice and free form. We found that candidates prefer multiple choice questions and complete multiple choice tests at a much higher rate than free form tests. Additionally, multiple choice tests are just as predictive as free form versions.

We score candidates on a 5 point scale. We provide overall scores that are based on both accuracy and speed as well as a breakdown of scores for each topic that the test covers. When deciding whether to interview candidates, we generally recommend the follow:

• For 1/5 and 2/5 scores, the applicant is probably not a strong engineer
• For a 3/5 score, the applicant is of average ability — factor their background and experience into your decision
• For 4/5 and 5/5 scores, the applicant is a strong engineer and definitely worth talking to

This will vary based on your own pipeline quality, but on average, 70% of applicants score a 1/5 or 2/5. 15% will score a 3/5, 10% a 4/5 and finally, less than 5% of applicants will score a 5/5.

We've refined the test until it is highly predictive: applicants scoring a 5/5 on the test pass our interview 90% of the time.

The test is currently running with hundreds of calibrated questions. It gets larger every week.

Absolutely. Our model is recalibrated every night and we add new questions weekly. The test is calibrated on the hundreds of technical interviews we run every week. The test gets more accurate as we scale.

Our model takes into account more than whether a question was answered correctly. Time spent answering a question is also a factor, for example. We've found that multiple easy questions are often more predictive than a few hard questions. Easier questions are also less stressful and more fun for candidates, increasing overall completion rate, and an easy question can break up a run of hard questions and help candidates perform at their best on the harder questions. Overall, our model asks the question that we'll learn the most from, not the trickiest question.