The Gradogram blog
Launches, product notes, and how the platform actually works — written by the people building it. Honest about what’s live and what’s next.
Structured vs. unstructured screening: what actually predicts a good hire
Unstructured judgment — a resume skim, a gut-feel conversation — feels efficient. Decades of hiring research say it predicts less than most hiring teams assume, and that structure is the fix. Here's what that means for how you screen.
Compliant hiring assessments: a recruiter's guide
If you're assessing candidates, data protection isn't optional paperwork — it's a constraint on how the whole process has to work. Here's what that means in practice, without the legal-department jargon.
How to write a hiring rubric that's actually gradable
Most rubrics fail before anyone uses them — the criteria are too vague to grade consistently, or too rigid to capture what actually matters. Here's how to write one that a grader (human or AI) can apply the same way every time.
AI-Graded Assessments vs. Manual Resume Screening
How AI-assisted grading with human review compares to reading resumes and cover letters by hand — what each one actually measures, and where each one still wins.
What is AI-graded assessment? (And how it actually works)
AI-graded assessment means a candidate's answer is scored against criteria your hiring team wrote in advance — criterion by criterion, with the reasoning shown, and a person confirming the result before it counts. Here's what that means in practice, and what it deliberately isn't.
Every candidate has AI now. Your coding test doesn't know that.
Traditional coding tests assumed candidates worked alone. They don't — and pretending otherwise just measures who's better at hiding it. Here's the debugging challenge we built to read the collaboration instead of banning it.
Introducing the Architecture Design Studio
System Design assessments now include a real drawing surface — candidates diagram the system and explain it, and both are graded together against your rubric.
How rubric-based AI grading works — and why every score is auditable
You define the criteria, the AI grades against them and shows its work, and a person confirms the result. Here’s what happens between an answer and a decision.
AI-assisted question generation, with a human approval step
Draft assessment questions faster with AI — then review, edit, and approve every one before it reaches a candidate. Nothing goes live unread.
The founding design-partner program is open
We’re onboarding a small group of hiring teams to build the platform with us — at a discounted rate locked for 24 months, with a direct line to the team.