About FitScreenr

We Built FitScreenr Because Modern Hiring BecameHard To Interpret.

Recruitment today moves fast.

Too fast.

Recruiters are expected to review hundreds of CVs across industries, technologies and specialisms they may not personally work in every day.

At the same time, candidates struggle to communicate real capability beyond keyword-heavy CVs and generic application processes.

Strong candidates get missed. Weak matches slip through. Hiring slows down. And too many decisions become guesswork.

FitScreenr was built to make hiring decisions clearer.

The Story

The Story Behind FitScreenr

FitScreenr started from a simple frustration:

Why does it take so much effort to understand whether someone is actually a fit for a role?

After years working across enterprise systems, operations, governance and delivery environments, I kept seeing the same pattern repeated across hiring:

Technical CVs being misunderstood
Recruiters forced to make decisions outside their domain expertise
Candidates reduced to keyword matching
Hiring teams losing time trying to interpret capability instead of evaluating it

The problem was not a lack of information. It was a lack of clarity.

So I built FitScreenr: a platform designed to translate CVs and job specifications into structured, plain-English compatibility reports that help hiring teams make faster and more explainable decisions.

Not to replace recruiters. To support them.

Our Mission

Help hiring teams make clearer, faster and more defensible hiring decisions.

We believe recruitment technology should enhance human judgment, not remove it.

FitScreenr is designed to:

✓ Reduce CV screening time
✓ Explain technical experience clearly
✓ Highlight strengths, risks and gaps
✓ Support structured hiring decisions
✓ Improve confidence during shortlisting

Because hiring should not feel like decoding a puzzle.

Philosophy

What Makes FitScreenr Different

Most recruitment tools focus on filtering.

FitScreenr focuses on interpretation.

Instead of relying purely on keyword matching, FitScreenr analyses candidate experience in context and explains why someone may or may not fit a role.

The result is a report designed to feel closer to a recruiter briefing or consultant assessment than a traditional ATS output.

Most hiring tools

Filter by keywords

Match CVs to specs using keyword density and boolean logic. Fast, but shallow. Misses context, nuance and real capability.

FitScreenr

Interpret with evidence

Reads both documents in context. Maps experience to requirements individually. Explains what fits, what doesn't, and why.

Clear. Practical. Decision-ready.

Meet The Team

Maphi Bayolo

Founder, Builder & Operator

FitScreenr is currently founder-led and independently developed by Maphi Bayolo.

With a background spanning enterprise systems, AI governance, product operations and delivery environments, Maphi built FitScreenr after seeing firsthand how difficult modern hiring has become for both recruiters and candidates.

Rather than creating another AI hype platform, the goal has always been practical utility: clear reports, explainable reasoning and tools designed for real hiring workflows.

FitScreenr is still evolving. Still improving. Still being built close to the problem itself.

And that is intentional.

Built Carefully.
Built Practically.

FitScreenr is being developed iteratively alongside real hiring workflows, recruiter feedback and operational hiring challenges.

No inflated promises. No "replace humans with AI" narrative.

Just clearer hiring decisions.

Screen Better. Hire Smarter.