A candidate pasted the entire assessment brief into Replit. The submission left us with too little evidence of their own ability.
I still needed to understand how they made decisions: which assumptions they questioned, what they checked and whether they could explain the architecture. The work they handed in didn’t answer those questions.
What I wanted to learn.
Could the candidate give an agent a useful spec? Notice an unnecessary service? Check that a feature worked across customer workspaces? Explain what they would change when a requirement shifted?
Those questions are easier to explore in an exercise that resembles the job. The assessment should use the team’s stack, reflect its constraints and leave specific decisions to discuss in the interview.
That takes work to prepare.
Someone has to design the exercise, try it with current AI tools, handle candidate questions and review the submissions. That’s a lot to fit around building a product or running a team.
ProbeHaus handles that preparation and review. You get an assessment built for your team and talking points drawn from each candidate’s work. You make the hiring decision.
See your assessment before you pay.
Full money-back guarantee if you’re not satisfied.
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