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Project-Based Assessments

Real work. Proven skills. With or without AI.

Candidates and employees build, fix and extend a working application in the browser. The work becomes clear, consistent evidence for hiring and talent decisions. Try the live preview, then run the tests.

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30 min to 4 hrs per projectNothing to install

Project workspace, ProductList.jsx

const [query, setQuery] = useState("");
const shown = products.filter(p =>
  p.name.toLowerCase()
    .includes(query.toLowerCase()));

Filter the list by name as I type.

Keep the query in state, then filter before rendering.

Search filters products by nameMatch is case-insensitiveEmpty search shows all productsShows a message when nothing matches

● Live preview

Trail running shoesFootwear

Rain shell jacketOuterwear

Running socks, 3 packFootwear

Hydration vestGear

Trail gaitersGear

Wind jacketOuterwear

AI assistant

The assistant doesn’t get the task. They do.

To get help, participants have to explain what they need, steer the assistant and decide whether its answer is right. That is the same judgment the job demands, and it becomes part of the evidence.

Reports

Skill-level results, not just a score.

Every submission is checked automatically against the project’s requirements, with the same rules every time. Reports show an overall score, a recommendation, a skill-by-skill breakdown and the result of every requirement.

Why skill-level results matter

A candidate at 60% overall might be at 100% on frontend work and 0% on API integration. That is a very different hire from one at 60% across the board.

Where AI is used, and where it is not.

AI helps the candidate and informs the reviewer. It never decides the score, and the report says so on the page.

Area	AI involved?	How
Score, skill results and recommendation	No	Automated tests only, the same every time
AI assistant for the candidate	Yes	When you enable it
AI code review	Yes	Advisory, carries no points
AI assistant usage	Yes	Advisory, drawn from the candidate’s own prompts
Integrity signals	No	Logged events, reviewed by a person

How it works

From role to report in four steps.

Where it fits.

Projects available for React, Angular and Java Spring Boot, with build-and-extend and code-debugging tasks.

Early screening

Replace quizzes with a short, real task and build a shortlist quickly.

Final technical round

Give interview panels concrete work to discuss instead of a blank page.

Campus and graduate hiring

Assess large groups consistently and find those who can already build.

Upskilling and mobility

Benchmark engineering skills and AI readiness across teams.

Built for both sides of talent.

The same evidence serves recruiting leaders and the teams who develop people.

For talent acquisition

Hire on proven ability.

Screen large groups with automatic scoring
Make fair, consistent and defensible decisions
See how candidates work with AI, when you choose to
Spend less engineering time on early screening

See hiring solutions

For talent management

Know what your teams can really do.

Benchmark skills and AI readiness across teams
Target learning and measure its impact
Fill roles from within through internal mobility
Back promotion and staffing decisions with evidence

See development solutions

Start with a focused pilot.

One or two roles, or one team. We help you pick the assessments, run them with real people and compare the results with your current process.

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