Evalor for teams
See how they work before you interview them.
Every candidate now submits polished work, and none of it tells you who did the thinking. Evalor gives a candidate one real problem, scores it against a written bar, and hands you the artifact, the reasoning, and a record of which decisions were theirs and which the AI made.
The screening problem
Take-homes stopped being evidence.
A take-home tells you what a candidate could produce with unlimited time and a model. So teams made them longer, which lost the best candidates first — they are the ones with the least free time and the most options.
Interviews then carry the whole load, which is how you end up making a six-figure decision on the strength of a conversation.
The missing piece was never more work. It was knowing which parts of the work were theirs.
What you receive
the candidate’s
The artifact
The memo, architecture or contract they actually produced
The score
Per criterion, against four written levels
The judge notes
Which decision moved the score, and what a stronger answer does
The attribution record
Every copilot suggestion, and whether a human checked it
Three steps, and no take-home to grade.
01
Pick the problem
Choose from 1 challenge across 16 kinds of work, or have us author one against your own product and constraints.
02
Send one link
The candidate works it in the surface the job actually uses — a document, an architecture canvas, a contract. Fifty minutes, not a weekend.
03
Read the evidence
You get the artifact, the per-criterion score, the judge notes, and the attribution record. Compare candidates against the same written bar.
Both sides of the same hire.
Product and engineering are evaluated against the same standard, so a hiring manager comparing a PM and a platform engineer is reading the same kind of evidence.
Product Management
Judgment under ambiguity: what to build, why, and what you gave up.
Technology
Engineering judgment with an AI agent: find the cause, change the code, prove it works.
Talk to us
Tell us who you are hiring.
Teams start at $29 per person per month, minimum five. Custom scenarios written against your own product, candidate comparison, and an admin view are included. Enterprise adds SSO, custom rubrics, and API or embed access.
We are pre-launch and founder-operated. You will not get a sequence — you will get a reply from someone who built the thing. Or email hello@evalor.ai directly.
See full pricing →