Vervoe
Uncover hidden talent with AI-powered skill testing.
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Candidates showcase their talent and AI recommends the top performers
Vervoe gives you the ability to hire the top talent your competitors will overlook by making hiring entirely about merit.
Instead of spending your valuable time screening candidates to decide who to interview, all candidates showcase their talent in real-world scenarios without being arbitrarily screened out.
Machine learning algorithms analyze candidate responses and recommend the best performers, saving you time and letting the real talent shine through sooner.
This allows you to focus on the best candidates, whose skills have already been validated and are least likely to churn.
Features
Manage your workflow and predict performance
Vervoe predicts job performance and gives you the opportunity to see how candidates will perform in a role by getting them to complete tasks associated with the job. Our skills assessments use interactive questions that bring any role to life. While our AI expertly reviews, grades, and ranks your candidates in order of performance for the things that matter most to you.
Quick activation
Your complete candidate profile
Once candidates have completed your assessment you’ll be able to see their overall score and their candidate report card that shows things like the skills tested, question by question responses, and completion data. You can also choose to manually adjust a candidate’s score by grading individual questions from the candidate report card.
Complete candidate report
Seamless integration with Greenhouse
Access your Vervoe assessments instantly in your Greenhouse account. Invite candidates to an assessment quickly from a new stage, once they’ve completed it you’ll see their score and full candidate report card from the applications stage of your Greenhouse account. This makes it easy for you to knock out ineligible candidates quickly so you can focus on the top performers.
The power of Vervoe’s AI
We use a set of 3 different machine learning models, How, What and Preference, that measure the quality of a candidate response and predict performance. The how model works across all questions, the what model is question specific and the preferences model is employer or role-specific meaning with a little input you can tailor the AI to value things as you do.