A certificate is only worth something if the grading behind it is worth something. So here is exactly how ProoV evaluates the work you submit — what the AI looks at, how the score is built, and why the resulting certificate is something a recruiter can trust.
It starts with a real brief
Every ProoV project is a company-style brief built on real data. Before you are scored on anything, you are doing authentic work: exploring a dataset, engineering features, building and validating a model, and communicating a recommendation — the same shape of task a working professional would be handed.
These briefs are expert-designed scenarios. To be clear about what that means: unless a formal programme states otherwise, projects are ProoV-created realistic scenarios — we do not use company logos or imply official partnerships. The work is real; the framing is ours.
Evaluation against a transparent, weighted rubric
When you submit, your work is evaluated by an AI evaluator against a published rubric — the same criteria, applied the same way, for everyone. A data-science project, for example, is scored across weighted dimensions such as:
- Exploratory data analysis — did you understand the data before modelling it?
- Feature engineering — did you prepare inputs that actually help?
- Model building — is the approach sound, validated, and appropriate?
- Business communication — can you explain what you did and why it matters?
Each criterion carries its own weight toward the final score, because that is how a hiring team actually reads work: a great model with no explanation is not a great submission, and a beautiful write-up over a broken analysis is not either.
You get a scorecard, not just a grade
A single number tells you almost nothing. So ProoV returns a scorecard that breaks down how you performed on each criterion. That means you can see precisely where you were strong and where to improve — and your next attempt is informed, not a guess.
Why the certificate is trustworthy
Pass the project and you earn a verified certificate with a public verification page tied to the exact project you completed and the date you finished it. Anyone — a recruiter, an admissions officer, a hiring manager — can confirm it is genuine.
Two design choices make this credible:
- The same rubric for everyone. Scores are not a matter of opinion on the day; they come from defined, published criteria.
- Independent verifiability. The credential is checkable, so it cannot be faked or inflated.
That is the difference between a participation badge and proof. A badge says you showed up; a verified ProoV certificate says you did the work and it met a standard.
How it compares
Many "virtual experience" programs are self-graded — you compare your answer to a model solution and mark your own completion. That is fine for learning, but it is not evidence. ProoV's evaluation is independent and criteria-based, which is what makes the output usable as proof. (More on that in what is virtual work experience.)
Ready to see it in practice? Pick a project, do the work, and read your scorecard.