Evaluate candidates inside live running prod-systems, no more coding tests or take-home as
The main 6-8 tech candidate assessment/evaluation methods today are either flawed, weak, or ineffective as they do not mirror or replicate the actual conditions of the job, so there’s no way to evaluate HOW a person thinks.. Even with using these methods today, tech teams still have all sorts of pain points as mentioned below in this document. And especially now with AI, writing code is no longer a strong signal to accurately evaluate a candidate. So our product Utkrusht does assessments that actually shows HOW a candidate works and behaves in real job situations. We’re the first platform to provide a new assessment method – “Watch-them-Work” style assessment tasks, which covers 3 main points – Candidates actually do live deployments in a production environment It shows HOW a candidate thinks – makes judgements, how they use AI, can they explain their choices, ask about constraints, can they walk you through examples, etc.… And saves you time, cost, resources on shortlisting and
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