May 2019: Introducing new feature updates: You asked, we listened!

We’re back again this month with a hoard of exciting feature updates for you.

Single sign-on (SSO) login for recruiters

Introducing the much-awaited, single sign-on feature for recruiters. Now, you can log into HackerEarth with a single set of credentials and gain access to multiple accounts without the hassle of maintaining different sets of usernames and passwords for each. If you are logged into HackerEarth, you are automatically logged into the HackerEarth Assessment as well.

Note

• You must have an account at HackerEarth Recruit to enable SSO login for your office email ID.
• This feature is only available for G Suite domains.
• This is a premium feature. To enable SSO login, contact us at support@hackerearth.com or your respective PoC.

File locking feature for Java project questions

Programming questions in HackerEarth Recruit are in a single page code format. This creates a scenario where the full potential of Java cannot be explored, and hence the addition of a new question type  — Java project.

The Java Project Question (JPQ) provides a file-and-folder structure to allow you to test Java concepts at various levels. Java-specific libraries can be added to the project to further ensure the flexibility to assess candidates. The submissions are then automatically evaluated using JUnit test cases.

To enhance the overall experience for recruiters, we have created a file locking feature for JPQs. When this feature is enabled, the folder structure is preserved, thereby preventing candidates from adding, editing, or deleting any file or folder. However, this does not lock the code that is available inside any folder or file.

To know more about this feature, click here.

Platform suggests a recommended cut-off score automatically

The cut-off score is the minimum score a candidate should earn in any test or assignment to be considered proficient. In employment testing, cut-off scores can be established to filter candidates who did not earn the required score on a specific test. Setting a cut-off score for pre-employment tests is especially useful if you are faced with a large talent pool.

Evaluating candidates is now even easier with our new feature update that automatically suggests a cut-off score for your tests.

Please note that this feature is only available for MCQs and programming problems. The cut-off score for all other question types will have to be set manually.

To view the recommended cut-off score, follow these steps:

1. Log into your HackerEarth Recruit account by using your admin credentials.
2. Click Tests.
3. Click the name of the test for which you want to view the recommended cut-off score.
4. In the Test Details section, click Test settings.
5. Now, you can view the recommended cut-off score under the Question Settings.
   

Enhanced privacy in FaceCode

FaceCode simplifies the process of technical hiring. It helps recruiters save tons of engineering hours and conduct video calls and interviews. It has a real-time collaborative code editor that supports over 30 programming languages such as Java, PHP, JavaScript, Python, Ruby, and others. Candidates can work on the code in real-time, and recruiters can view the code written by candidates, suggest improvements or ask follow-up questions.

What’s new?

Now, if a candidate or an interviewer disables the video feature in FaceCode, then the webcam is turned off automatically. This feature was devised to maintain a sense of privacy during interviews.

Skill-wise performance chart of candidates now available

We have introduced skill-wise performance charts in candidate reports. With this feature, recruiters can assess a candidate’s performance in all skill sets such as Java, basic programming, algorithms, etc. Also, you can compare the candidate's score with respect to the set average cut-off score for each skill.

New questions added to the HackerEarth Recruit library

Voila! The HackerEarth Recruit library has introduced a new problem type — Data science. Now you can assess candidates on the following skills:

• Machine Learning
• Data analysis
• Python libraries such as NumPy, SciPy, pandas, OpenCV, and many more

You can also use these questions to hire Machine Learning engineers, Data analysts, Data scientists, and many more.

Expected answers for subjective questions

When candidates approach a test with subjective questions, recruiters can assess if they are making logical claims and how deep is the candidate's understanding of a specific question.

Now, recruiters can evaluate candidates even more seamlessly by adding an expected answer for a subjective question while creating tests. As subjective questions are open-ended, this feature allows recruiters to assess whether the candidate's answers are based on the basic idea of questions.

Track the number of candidate tab switches

Last but not least, now you can track the exact number of tab switches made by candidates during tests. Even without enabling proctoring settings for tab switches, candidate reports will provide information about the number of tab switches made by a candidate.

If you have enabled this proctoring setting for a test, then the ‘Allow Retest’ option is displayed under the Points to heed section. This option allows recruiters to re-invite candidates for a test if they feel the number of tab switches is higher than expected.