AI Era Hiring

Stop testing knowledge. Start testing judgment.

WorkProbe measures how candidates actually think with AI — not whether they can pass a test AI could ace for them.

How it works

Candidate

AI Assistant

Judgment Score

The Problem

The problem isn't that candidates use AI. It's that nobody is measuring how well they use it.

64%

of employees put less effort into work, knowing AI will help.

KPMG/University of Melbourne 2025

58%

rely on AI output without verifying it.

KPMG/University of Melbourne 2025

The next hire

is statistically likely to accept AI output uncritically — unless you test for it.

Research-backed insight

Your current hiring process probably measures whether candidates can perform tasks. WorkProbe measures whether they can perform tasks with AI.

How WorkProbe Works

Three steps to measure real judgment.

WorkProbe Assessment Environment

Sarah Chen

VP of Operations

I need you to analyze Q3 revenue and find the issue. The board meets at 3pm.

Use any tools you need. Let me know what you find.

AI Assistant

Ready to help

I can help analyze the Q3 data. Would you like me to start with the revenue_q3.csv file?

Based on my analysis, revenue dropped 12% due to seasonal trends...

[May contain inaccuracies]

Data Files

4 files available

revenue_q3.csv
customer_data.xlsx
market_analysis.pdf
notes.txt

Click to preview • Drag to AI

The three-panel work environment: Boss, AI Assistant, and Data Files

1

Candidate enters a simulated work scenario

They get a realistic task, data files, an AI assistant, and a boss who's waiting for answers.

2

AI is available — and deliberately imperfect

The AI assistant helps, but includes subtle inaccuracies. The system observes whether candidates catch them.

3

We measure judgment, not knowledge

Five behavioral dimensions: prompt quality, critical filtering, adaptation speed, AI awareness, and calibrated trust.

The Five Dimensions We Measure

Prompt Quality

How precisely does the candidate formulate questions to the AI? Vague prompts signal vague thinking.

Critical Filtering

Does the candidate accept AI output at face value, or do they challenge, verify, and filter?

Adaptation Speed

When the AI gives an unexpected or unhelpful response, how quickly does the candidate adjust their approach?

AI Awareness

Does the candidate understand what the AI can and can't do, and use it accordingly?

Calibrated Trust

Does the candidate trust AI the right amount — neither blindly accepting nor reflexively rejecting?

Why This Matters

WorkProbe's methodology is grounded in peer-reviewed research from MIT, Harvard, Nature Human Behaviour, and CHI — the leading conferences in human-computer interaction. These aren't decorative citations. They're the reason the product works.

Human–AI teams underperform on decisions unless humans retain independent judgment

Vaccaro et al., Nature Human Behaviour, 2024

Overconfident professionals are the highest-risk group for AI overreliance

He et al., CHI 2023

The only proven intervention is cognitive forcing — requiring independent reasoning before AI exposure

Buçinca et al., Harvard, 2021

Even a mathematically ideal reasoner is vulnerable to AI sycophancy

Chandra et al., MIT, 2026

Assessment methodology grounded in 9 peer-reviewed studies spanning 106+ experiments and 48,000+ survey respondents.

The hiring process is broken.

You can't measure what you don't test for. WorkProbe fills the gap. It tests for judgment in the AI era — the one thing your current process probably doesn't.

Who It's For

If you hire people, WorkProbe is for you.

For HR Leaders

Replace gut-feel interviews with behavioral data on AI collaboration skills.

For Hiring Managers

See how candidates actually work before you commit to a hire.

For CTOs

Ensure your team can think with AI, not just use it.

Not just for technical roles.

Any role where judgment, decision-making, and critical thinking matter. In the AI era, that's every role.

Be among the first to test WorkProbe.

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