A realistic workplace simulation powered by AI agents that evaluates how candidates actually perform on the job.
Design the team you want to work with — name each agent, write their role in your own words, and decide how to divide the work. Your team, your plan.
Review every output, push back when it's wrong, approve when it's right. You never execute the work — you supervise and decide.
Three independent systems cross-check every score: an objective observer, an LLM evaluator, and a red-team auditor. No black-box verdicts.
Start with our canonical AI Data Analyst WorkLab, or build your own blueprint tailored to the role you're hiring for.
We measure the skills that actually predict job performance.
Correctness and completeness of outputs relative to the dataset and business question.
Logical soundness of decisions, instructions, and revisions the candidate makes.
Clarity and precision of candidate prompts, directives, and written outputs.
Effectiveness of interactions with coworker and reviewer agents across the pipeline.
Quality of oversight — catching errors, improving outputs, approving appropriately.
Handling conflicting requests, stakeholder communications, and feedback responses.
Detecting, flagging, and correcting hallucinated facts from any agent — coworker or reviewer.
Efficiency of candidate instructions — achieving high-quality outputs with concise, well-structured prompts.
Scoring dimensions
Minutes per simulation
Independent scoring systems
Full transcript access
Structured rubrics with 3-pass AI scoring for consistency. Full transcript access — no black-box verdicts.
No 6-hour take-homes. Candidates complete the full simulation in a single focused sitting.
Communication, AI supervision, debugging, and decision-making under realistic conditions.