Some clients have their own integration and flow. Feedback should be given on the client’s platform itself. Sometimes they do not require test-takers to give feedback on the Mercer Mettl platform. To accomplish this, we are adding a setting at the assessment level showing “Don’t ask for feedback post-test completion.” Enabling this setting will remove the feedback widget from the test-taking experience
Setting can be enabled/Disabled from here
Test-taker screen view on feedback page
Stay tuned for more updates.
Customize File Names with Mercer Mettl’s File Name Customization Feature
Have you ever found yourself struggling to uniquely identify of multiple files downloaded from Mercer Mettl’s platform? That’s where the file name customization feature comes in handy!
This feature allows you to customize the file names of PDF files (both bulk and individual) and test-taker folders on Mercer Mettl’s Results Dashboard. You can now use candidate registration fields, which are filled by test-takers before starting the test, to create custom file names and make it easier for you to identify and manage results.
File names can be customized at both the team and test level. Here’s how it works:
Customizing File Names at the Team Level
You can easily update default file names for a specific language by changing the name in the input box provided. After you save the changes, the file names for downloaded files will be updated accordingly.
Customizing File Names at the Test Level
You can update the team level file name by changing the name in the input box provided at the test level. Once you save it, file names for downloaded files will be updated.
To learn more about customizing file names on Mercer Mettl’s platform, check out our detailed guide here.
Mercer Mettl’s file name customization feature is a great way to simplify your results management process and improve your productivity. Give it a try today!
We are officially an assessment partner of iCIMS, a leading global Applicant Tracking System!
iCIMS is used by companies like American Heart Association, Chalhoub Group, Doctors Without Borders (Italy), PSA Airlines, The Cheesecake Factory, Hertz, Wipro and our partnership with iCIMS is an important milestone in our journey of Going Global!
Through this integration, you will be able to:
- Trigger a Mercer | Mettl assessment directly from iCIMS.
- Automatically see when a job applicant starts and finishes their assessment. Mercer | Mettl updates iCIMS as soon as the job applicant completes their assessment with detailed results mentioning their
- Score
- HTML report link
- Completion mode
- Credibility index
- Performance category/recommendations
- Response style
To combat the heighten concerns around how one can prevent selecting candidates who could have possibly taken help of Generative AI tools while attempting tests, we have strengthened our reporting with an additional code quality indicator, namely AI Sense score.
AI Sense is an in-house algorithm that harnesses the power of generative artificial intelligence (AI) to sense and identify instances of AI-generated code. On top of the plagiarism score, which is available in CodeLysis reports, we now show an additional AI Sense score. This new score provides an indication of the likelihood of a candidate submitted code being generated using AI tools such as ChatGPT, Bard, or GitHub Copilot.
We are happy to share that we have revamped the UI and UX of our Code Project Environment.
The improved UI provides test-takers with larger area for writing codes and viewing the result along with the output on the console.
The new UX brings along a walkthrough, highlighting the key components of the interface, such as full-screen view, language support (IntelliSense), error highlighting and various other editor features to assist test-takers in writing faster and more efficient codes.
We hope you are as excited as we are to let test-takers experience the all-new interface of our Code Project Environment!
The Code Complexity score in CodeLysis reports has been replaced with a new parameter called Code Score. This new parameter indicates the quality of the code submitted by a candidate by differentiating complex codes from simpler ones.
Code Score uses more precise calculations to provide much more reliable metrics in terms of code quality than its predecessor. This score enables hiring managers to make better and more informed decisions that are not just based on the accuracy of the code written by the candidate.
The calculation of Code Score is supported for 25+ programming languages in CodeLysis as compared to only 5 in Code Complexity.
We are officially an assessment partner of Ashby, a leading global Applicant Tracking System!
Ashby is used by companies like Docker, Quora, Replit, VanMoof and WeTransfer and our partnership with Ashby is an important milestone in our journey of Going Global!
Through this integration, you will be able to:
- Trigger a Mercer | Mettl assessment directly from Ashby.
- Automatically see when a job applicant starts and finishes their assessment. Mercer | Mettl updates Ashby as soon as the job applicant completes their assessment with detailed results mentioning their
- Score
- HTML report link
- Completion mode
- Credibility index
- Performance category/recommendations
- Response style
The database variant in which the candidate had attempted a particular database query question will now be visible within the report itself. This improvement is designed to offer users a higher level of transparency and visibility regarding the queries written by the candidate.
Having visibility into the database variant allows users to gauge the candidate’s familiarity and expertise with specific query languages.
We are happy to announce that we have added support for version 4.9.4 of TypeScript on our general-purpose backend coding environment (CodeLysis).
Clients will be able to select TypeScript4 while creating or editing questions and test takers will be able to attempt coding questions in TypeScript4 wherever available.
Behavioral Competencies
Cognitive Competencies
Coding Competencies
Domain Competencies
