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Software Status:Active

About pymetrics

Pymetrics is a hiring software from Harver B.V. that helps engage, hire, and grow the right talent faster with reduced effort. It combines features such as automated assessments, predictive analytics, and talent matching so that organizations can identify the best candidates efficiently. The platform supports volume hiring, allowing employers to choose between quick hires and the right fit for their teams. Additionally, it offers an intuitive process for both candidates and hiring managers to improve the candidate use. Key capabilities: automated assessments predictive analytics talent matching volume hiring candidate use Best for: HR professionals and recruiters that need to efficiently manage high-volume recruitment processes.

pymetrics Details

Vendor
Harver B.V.
Year Launched
2013
Location
85 Broad St, New York, NY 10002, US
Deployment
cloud
Training Options
demo, account manager, community
Countries Served
All Countries
Languages
English
Users
Hiring Manager, Recruiter, HR Manager, Talent Acquisition Specialist, Job Applicant.
Industries Served
Healthcare, Education, Finance, Retail
Tags
Artificial Intelligence, Talent Management, Pre-employment Testing

pymetrics's In-App Market Place

Does pymetrics have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), AUD (A$), CAD (C$), CHF (Fr.), CNY (¥), HKD (HK$), INR (₹), SGD (S$)

Pros & Cons

  • 1. User-Friendliness: The assessments were easy to understand and use.
  • 1. Accuracy Concerns: The assessment results did not accurately reflect the user's personality or job-related traits.
  • 2. Limited Assessment Depth: The assessments may have focused too heavily on reaction time and other basic cognitive abilities, rather than deeper personality traits.
  • 3. Technical Issues: The user experienced technical difficulties during one of the assessments.
  • 4. Lack of Relevance: The results did not align with the user's self-perception or job requirements.

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