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pymetrics tests

Pymetrics Tests

Pymetrics is a relatively new startup, based in New York since 2011. Pymetrics aims to harness technology and AI (artificial intelligence) to better match candidates with jobs where they are most likely to succeed.

By creating an individual set of tests for a company, Pymetrics can create a unique, unbiased algorithm that is accurate and scalable.

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Which employers use Pymetrics tests?

Many corporate employers use Pymetrics tests including LinkedIn, Unilever, Colgate-Palmolive, Kraft Heinz and McDonalds. They are also a popular choice for professional services firms such as PwC and Accenture, investment banks including JP Morgan, and management consultants such as BCG.

Employers choose to use Pymetrics tests as they want to make unbiased recruitment choices, creating an environment where candidates are more likely to succeed and remain in the role, and where those from minority backgrounds can also succeed.

The use of Pymetrics tests also saves many hours in the recruitment process.

Tips on how to prepare for Pymetrics tests

Pymetrics tests don’t have right or wrong answers, so they are not something that you can revise for as such. That said, the following tips may be helpful:

1) Don’t second-guess what is being asked

Even when you have carried out thorough research into an organisation, it can be hard to guess what attributes they are looking for. Far better to be yourself – whether that is competitive, or with a low appetite for risk – than give misleading or contradictory answers.

2) Follow the instructions

Make sure you read the guidance thoroughly for each activity or game, so that you do what you are actually being asked to do, and that you understand the full implications of taking a specific action.

3) Focus

Make sure you won’t be disturbed or distracted when you take the test, since you cannot pause or restart it. If you are taking it on your smartphone or tablet, turn off notifications and put your device in a mode where you cannot be disturbed.

4) Prepare

While you shouldn’t second-guess what outcome is desired, you can think about how you approach problems. Taking practice tests will help you get used to the format and time limit.

Practice Aptitude Tests is not associated with Pymetrics. We provide preparation services for Pymetrics psychometric tests. Our tests are not designed to be identical to any style, employer or industry. Visit https://www.pymetrics.ai/ to find out more.

Pymetrics Tests FAQs

How can I practice Pymetrics tests?

This video shows some of the actual test questions from a Pymetrics assessment, so you can get a clear idea of their format.

Are Pymetrics tests difficult?

Pymetrics tests are not difficult as such, and don’t need any prior knowledge. You should engage honestly with the test to get the best result and keep going to the end of the test, completing all the games.

How long is a Pymetrics test?

A Pymetrics test has 12 games or activities, which take around 2 to 3 minutes each. You cannot restart but you can pause between games. The entire test takes between 25 and 35 minutes, and the result is valid for 330 days.

How are Pymetrics tests scored?

Pymetrics tests aren’t ‘scored’ as such because there are no right and wrong answers. Instead, the candidate receives a trait report that details their traits and how those might manifest in the workplace.

The recruiter receives a different report, which matches candidates’ traits against the characteristics that the organisation has identified as being desirable for the role.

Each candidate will also be listed in a ‘fit band’ as Highly Recommended, Recommended or Not Recommended, again matched against the predetermined benchmark.

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  • 30 Numerical reasoning tests
  • 30 Verbal reasoning tests
  • 30 Diagrammatic reasoning tests
  • 30 Situational judgement tests
  • 34 Publisher packages e.g. Watson Glaser
  • 252 Employer packages e.g. HSBC
  • 29 Extra packages e.g Mechanical
  • Dashboard performance tracking
  • Full solutions and explanations
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  • Basic performance tracking
  • Solutions & explanations
  • Tips and resources