The Problem
Proven Solution that Works
Our Product
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 -
Fullstack role, candidates are asked to debug and fix a broken API
SRE role, candidates are asked to write a runbook for incident response
AI Engineer role, candidates are asked to improve embeddings in a chatbot
Devops role, candidates are given a broken K8 cluster to fix, optimize a docker container, etc.
Data Engineer role, candidates are asked to fix kafka partitioning, optimize a hadoop cluster, etc.
Backend role, candidates are asked to live migrate a DB schema, refactor a payment microservice, etc.
and many more…
These tasks also allow you watch candidates how they debug, what decisions they made, what approach they follow, how they break down ambiguous problems, 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.
How it works
Top 5 features customers love
Actual Tasks
Watch candidates solve on-the-job tasks before you even speak to them.
These tasks are rigorously tested and designed to simulate real challenges that engineers/developers face on their job.
Candidate Rubrics
Insights gathered from resume, candidate responses, public socials, etc.
e.g. Intent to join, location match, salary alignment, culture fit, etc.
Lowest Drop-off Rate
Since our assessments are quick 30mins, candidates LOVE taking it.
Not on weekends or after-office, but 70% of our assessments are taken in middle of the day, during breaks, etc.
So you can be rest assured almost all candidates you send the assessments to, will complete it (and love to take it).
AI-Assisted Assessments
Candidates are allowed to use AI and other tools available to them.
Since our platform video-records the session, we show you exact insights on how they used AI, where, how much, was it helpful or just copy-pasted, etc.
Basically, we show you HOW candidates used AI.
SmartRank
Put a simple query with your specific/niche criteria you might have, to get those calibre candidates too
e.g. "I want to see candidates who have worked for startups previously", "I want to see candidates who have experience in BFSI sector too".
Directly cuts down time-to-hire by
Technical skills covered
Assessment completion rate
