Traditional screening/shortlisting methods and tools were built for a world where quiz scores predicted job performance. That world no longer exists.

Today's developers and engineers ship with AI copilots, debug production systems, make real-time architectural tradeoffs, etc. — none of which show up in 30-question algorithmic coding challenges or take-homes.

Utkrusht was built from the ground up around one core belief: the only accurate way to evaluate tech candidates is to actually watch HOW they solve a real problem in a real environment, live. In other words, simply watch-them-work.

1 task is an actual on-the-job task where candidates solve, debug, design, extend, refactor live apps, and deploy it in a live production environment.

We fundamentally believe in the age of AI, watching someone live solve real on-the-job production problems is the best way to accurately identify how good they really are. In this process, allow them all the tools (including AI) of their choice and then become a fly on the wall!

For eg:

• for a devops role, candidates are given a broken K8 cluster for them to fix,

• for a backend role, candidates are asked to live migrate a DB schema

  
  
  

These tasks also allow you watch candidates how they debug, what choices they made, what approach they follow, make tradeoffs, etc.

Tasks are designed to measure in-depth fundamental skills, use of AI, and problem-solving approach, making them actually build something live in-action and you watching their recorded session.