The problem we are solving

Most job seekers face the same structural tension: your résumé must read well to a person and survive automated screening - often called ATS - in the same breath. Getting actionable feedback before you apply is harder than it should be, and public data explains why the experience feels bruising even when you are qualified.

The funnel is steep by design (not by conspiracy)

A frequently repeated benchmark in hiring literature - tracing back to widely shared Glassdoor-era analyses - is that a single corporate posting can attract on the order of ~250 applications, with only a small number of interviews and one hire. The exact count depends on brand, remote policy, and role; niche postings can be quieter, while household-name employers can see far higher volumes.

Large-scale recruitment benchmark reports (including analyses spanning tens of millions of applications) often cite global median time-to-hire in the ~5-6 week range, with large variation by function - engineering and specialized roles frequently run longer than retail or high-churn hourly roles.

Translation: you are operating inside a system optimized for employer throughput, not for candidate learning loops. That is why “spray and pray” feels rational - and still performs poorly.

Guessing hurts

Without a clear read on fit, people oscillate between:

• Too many low-specificity applications (burning time, burning signal), and
• Over-editing from contradictory internet tips (fonts! keywords! one page! two pages!).

Neither is a strategy - both are coping mechanisms.

Paywalls and signups raise the cost of a simple question

Many tools lock basic insights behind accounts, trials, or upsells. Yet the fundamental question is simple: does this CV make sense for this kind of role?

When the price of asking that question is another password and another card on file, seekers with fewer resources lose first.

ATS reality: machines are in the loop at scale

Surveys of large employers frequently report ATS usage in the high 90% range among Fortune-scale companies; mid-sized adoption is lower but still common. Industry analyses and ATS vendors often report that a large majority of submitted résumés can be filtered or ranked before a consistent human read - exact percentages vary by study, but the directional claim is robust: format and structure matter.

Recruiter workflow research also commonly cites keyword-style filtering as standard practice when searching inside candidate databases.

Referrals still beat cold apply - in basically every dataset

Public summaries routinely show referrals and warm intros outperforming cold online applications by wide margins - sometimes quoted as ~30% success versus low single digits for interview rates on generic postings in comparable studies. FitCV does not replace networking - but it helps your document stop working against you.

What FitCV changes

We focus on structured feedback and optional role-aware context (job alignment) so you are not guessing in the dark. We pair that with no-login access to the core experience so you can run a repeatable check before you spend another week on the wrong draft.

We do not replace recruiters, coaches, or mentors. We give you a grounded orientation - against a market where the numbers are not on your side, but iteration still is.

Sources: widely cited hiring benchmarks (e.g., large applicant-volume studies), ATS adoption surveys, recruiter workflow reports, and public funnel summaries; figures vary by cohort.