Culture Fit
Replace the gut-feel culture read with something you can defend. Answers graded against the specific working behaviors your team values.
Assessment · in progress
Section 01 · Collaboration
18:05Describe how you handle a disagreement with a teammate about the right technical approach, when you're fairly sure you're right but they own the area.
Answer guidance
- Listen
- How do you take in the other view first?
- Disagree
- How do you surface your concern?
- Commit
- How do you move forward together?
Your answer
Saved as you go · graded against your rubric after you submit
The candidate’s view of this assessment. Sample content shown.
How this assessment works
What it assesses
How a candidate's working style and values line up with how your team actually operates — grounded in the specific behaviours your rubric defines, not a vibe check.
What the candidate does
Responds to a values-based prompt asynchronously in writing, describing how they'd approach a real working situation.
How it's AI-graded
The AI grades the answer against the rubric you defined for the values that matter to your team, marking each criterion with supporting evidence. The score is a signal for your judgement — you confirm it, and it never decides on its own.
Assessment report · AI-graded result
AI grade
AI generated0 / 10085% confidence
Strong on disagree-and-commit; less on when they'd escalate.
Scoring rubric
Why this score
The answer models a healthy disagree-and-commit posture: seeks the other view, argues trade-offs over conclusions, and defers appropriately while preserving the concern. When escalation would be warranted is left unexplored.
The result, with its reasoning
The AI grades the answer against your rubric and shows its work: a score out of 100, a confidence read, which criteria were met, partial, or not shown, and a short explanation of why. Every part of this is model-assisted and clearly labelled — the hiring call stays with your team.
How grading works
You define the rubric
Set the criteria that count for this role. The rubric is frozen for the run so every candidate is graded the same way.
The AI grades against it
Each answer is graded criterion by criterion, with the evidence the model drew from and a confidence score — never a black-box number.
You confirm the decision
The score is decision support, not the decision. A person reviews the reasoning and confirms it before it counts.
Built to be trusted
Audit trail
Every grade, override, and confirmation is recorded immutably — who, what, and when.
Your data, walled off
Your rubrics, questions, and candidate data stay scoped to your workspace.
GDPR-ready
Soft-delete by default and candidate anonymization when you need it.
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