Free for recruiters

Find people who think with AI.

A 5-minute assessment that tests how candidates think through real business problems with AI — not what tools they know or what buzzwords they put on a CV.

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Thinking Score

8/10

Narrows the problem2/2
Describes it clearly2/2
Explores before acting1/2
Defines success2/2
Includes verification1/2

91% authentic — typed naturally, no paste detected

AI-scored across 5 dimensionsKeystroke & paste detectionExample 9/10 answer for every resultWorks for any role, not just devs

How it works

Three steps. Five minutes.

From sign-up to scored candidate — faster than reading a CV.

01

Get your branded link

Sign up with your company name. We generate a personalised test URL — like hire.waboom.ai/your-company/test.

02

Candidates solve a real scenario

They read a real-world business problem — dormant CRM, support meltdown, budget blowout — and write how they'd use AI to solve it.

03

You see how they think

AI scores their thinking across 5 dimensions. You see why they scored what they scored — and what a great answer looks like.

See the difference

Same scenario. Two very different minds.

3/10

The prompt tourist

“Just have AI fix the support tickets and make it faster. Use a chatbot or something to answer questions automatically. Should improve things.”

No scopingNo data analysisNo targetsNo verification
9/10

The AI-native thinker

“Analyse the 18 months of Zendesk data — which categories take longest, which have worst CSAT. Start with billing (35% of volume). Build an AI triage agent for the top 20 ticket types. Target: response under 2 hours, CSAT above 4.0. Pilot 2 weeks, measure delta before scaling.”

Scoped to billingData before actionMeasurable targetsPilot then scale

The pattern: explore first, narrow the scope, define targets, test before scaling.

6 scenarios

Not just for developers.

Each candidate gets a random real-world scenario. The thinking pattern is the same — the context changes every time.

CRM reactivation

100K dormant contacts

Support overhaul

500 tickets/day, 14hr wait

Content strategy

50K visitors, 0.3% converts

Financial anomaly

23% expense spike

Feature prioritisation

140+ requests, 4 slots

Session timeout bug

Token expired after idle

Six business scenario categories

The rubric

Five habits. One thinking pattern.

2

Scope it

Narrow the problem. Start with the highest-impact segment, not boil the ocean.

2

Clarify it

Name the numbers. Specific metrics, timeline, constraints — not just vibes.

2

Explore first

Analyse the data before building anything. Look before you leap.

2

Define done

Set a measurable target. 'Improve CSAT' is a wish. 'Above 4.0 in 30 days' is a goal.

2

Verify it

Include a test step. A pilot, a comparison, a way to prove it worked.

%

Authenticity

Did they actually think it through? We track keystrokes, paste events, and tab switches.

The talent market just split in two.

People who use AI as a force multiplier. And people who don't. The most valuable hire in 2026 won't have 15 years of experience — they'll have 15 months of building with AI, and the thinking to show for it.

5 min

Average completion time

6

Real-world scenarios

5

Thinking dimensions

Recruiters excited about finding top AI-native talent

Your dashboard

More than a score. A thinking breakdown.

For every candidate, you see exactly why they scored what they scored. What they got right. What they missed. And what a great answer looks like — so you can evaluate their thinking even if you're not technical.

AI-generated analysis explaining the score
Per-dimension breakdown with specific feedback
Example 9/10 answer for the same scenario
Authenticity signals — paste detection, typing patterns

Built for real hiring

The people AI was built to find.

I used to spend 20 minutes per candidate trying to gauge their AI fluency from a CV. Now I send a link and get a scored breakdown in 5 minutes.

SC

Sarah Chen

Talent Lead, Tech Startup

The before/after example on each result is brilliant. I can explain to my hiring manager exactly why one candidate outscored another — even for non-technical roles.

JA

James Aramoana

Recruitment Manager

We caught three candidates who pasted their answers from ChatGPT. The authenticity tracking alone makes this worth it.

PS

Priya Sharma

Head of People Ops

Professionals who use Sifted

Join recruiters who've Sifted their candidate pool

Stop hiring on vibes.

Start testing for thinking.

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