Figlime vs. take-home tests
Take-home tests used to be a decent proxy for skill. Now candidates run them through AI, busy people opt out, and your team still grades every submission by hand. A real conversation fixes all three.
Three problems that got worse with AI
They get outsourced
A take-home is a static artifact a candidate completes unsupervised — which means generative AI can produce it. A clean submission no longer tells you who can actually do the work.
They lose good people
Multi-hour assignments select for candidates with spare time, not the best candidates. Strong people with jobs and lives quietly drop out of your funnel.
They still need grading
Every submission has to be reviewed by an engineer, inconsistently and slowly — so the bottleneck just moves from the candidate to your team.
A conversation beats an assignment
Adaptive, not static
Figlime asks about the candidate's real projects and follows up on their answers in real time. You can't pre-generate your way through a conversation that reacts to what you just said.
Minutes, not weekends
A focused live screen respects the candidate's time, so your strongest applicants actually finish it — and it runs 24/7 without scheduling.
Scored automatically, with evidence
Every conversation comes back as a filled scorecard with the transcript behind each score — no engineer-hours spent grading, and the result lands on the Greenhouse profile.
Take-home tests vs. Figlime
Why are take-home tests losing their signal?
Because the artifact no longer proves the candidate. Generative AI can complete most take-home assignments, so a polished submission tells you little about how the person actually thinks. Take-homes also bias toward candidates with free time, and someone still has to grade every one by hand.
How is Figlime different from a take-home test?
Figlime holds a live, adaptive technical conversation instead of handing out a static assignment. It asks about the candidate's real work, follows up on their answers, and scores the reasoning against your rubric automatically — so you see how they think, not just what they (or an AI) can produce overnight.
Stop skimming. Start talking to the right people.
See Figlime run your own scorecard on a real pipeline — and watch the shortlist land in Greenhouse. One short call is all it takes.