The Numbers Nobody Wants to Say Out Loud.
There is a crisis hiding in plain sight inside every HR department in Nigeria, and it starts with numbers that most recruiters already know but rarely say out loud.
A single job posting on Jobberman, HotNigerianJobs, MyJobMag, or LinkedIn from a reputable Nigerian company attracts between 200 and 500 applications. For roles at multinationals, banks, or oil and gas firms, that number can exceed 2,000. A corporate recruiter managing 15 to 25 open positions simultaneously is staring at a mountain of 5,000 to 10,000 CVs per hiring cycle.
No human being can read 10,000 CVs properly. So, they don’t.
What happens instead is something that every recruiter knows, and most job seekers would find deeply troubling. According to a 2018 eye-tracking study by Ladders Inc., recruiters spend an average of 7.4 seconds reviewing a CV before making an initial decision. Seven seconds. To evaluate a career. To decide whether someone who spent four years in university and a decade building experience deserves a phone call.
The consequences are devastating – and they hit businesses harder than most realise.
A study conducted by DoviLearn Global Education Limited estimates that Nigerian companies lose an average of ₦2.5 million for every wrong hire. In the UK, this is about £25k yearly for every wrong hire. For small and growing businesses, this is not just a setback – it can be a breaking point. The financial strain, lost productivity, and operational disruption often compound, pushing already vulnerable businesses toward closure.
The Society for Human Resource Management (SHRM) puts it in broader terms: a bad hire costs between 50% and 200% of the employee’s annual salary when you account for severance, re-recruiting, lost productivity, and damaged team morale.
“These aren’t abstract numbers,” says Vincent Okeke, co-founder and CEO of CVSense. “This is a mid-size company in Lagos that hired a marketing manager, discovered six months later the hire was wrong, and now has to write off nearly ₦3 million – the salary paid during underperformance, the severance, the re-advertising, the three months it takes to re-hire. Meanwhile, the person who should have gotten the job was sitting in their application pile. Page 12 of a spreadsheet. Nobody got to page 12.”
The Recruiter’s Impossible Job
It would be easy – and wrong – to blame recruiters for this failure. The reality is more structural than personal.
Modern recruitment in Nigeria, as in most of the world, runs on Applicant Tracking Systems (ATS). These are software platforms designed to manage the logistics of hiring: collecting applications, storing CVs, moving candidates through pipeline stages, and scheduling interviews. Sadly, many of these advanced software are not accessible to the average businesses due to cost, sophistication or other barriers. At least, about 70% of businesses in Nigeria still receive job applications through emails or Google forms, says Vincent Okeke.
Despite these technologies being available, most ATS technology was never designed to evaluate talent. It was designed to manage workflow. And the screening functions that most ATS platforms offer – keyword matching, Boolean filters, basic scoring – are crude instruments applied to a sophisticated problem.
“Think about what keyword matching actually does,” says Bright Oleka, co-founder and COO of CVSense. “It searches a document for specific strings of text. If the job description says ‘project management’ and your CV says ‘I managed a portfolio of 12 projects across three countries,’ some systems won’t match that. Because ‘managed a portfolio of 12 projects’ is not the same string as ‘project management.’ The recruiter set up the filter in good faith. The candidate wrote their CV in good faith. But the technology between them is operating at the level of a word search puzzle. It’s not reading. It’s not understanding. It’s matching characters.”
A 2021 study by Harvard Business School, “Hidden Workers: Untapped Talent,” found that automated screening tools routinely filter out candidates who would be strong hires. The study examined 27 million anonymised job postings and found that rigid ATS filters were “excluding viable candidates” at a systemic scale, describing them as “hidden workers” – qualified people made invisible by the technology designed to find them.
This creates a perverse dynamic. The most important decision in the hiring process – who gets an interview – is being made by the least intelligent tool in the pipeline. Companies have invested billions globally in recruitment technology, and the actual decision point is still powered by what is, functionally, Ctrl+F.
“We’ve spoken to hundreds of recruiters while building CVSense,” says Vincent. “In Nigeria, in the UK, across Africa. The conversation is almost always the same. They tell us: ‘I know there are great candidates in my pipeline that I’m missing. I know my filters are too blunt. But I have 300 applications and two days to produce a shortlist. What am I supposed to do?’ That question – what are they supposed to do – is what CVSense answers.”
What CVSense Actually Is
CVSense is a product of DoviLearn Global Education Ltd, registered in the United Kingdom. The founders – both Nigerian – chose to build in one of the world’s most competitive recruitment technology markets.
CVSense is not a tool that does one thing. It is a complete recruitment platform – built from the ground up – that handles the entire hiring workflow from job posting to offer management. It was designed for the reality that Nigerian, UK and global businesses actually face: high volumes, small teams, tight budgets, and tools that aren’t fit for purpose.
CVSense was built for one outcome: help companies find the right people, fast, without drowning in CVs. A recruiter posts a job, the AI drafts a polished description, adds screening questions, and produces one shareable link that works everywhere. What used to take a full day now takes minutes. “With CVSense, the AI drafts the description, the screening questions are built into the posting, and the public link works everywhere,” says Bright. “What used to take a full day takes 20 minutes.”
Then the real work happens. CVSense’s agentic AI reads every CV – not keyword‑scanning, but understanding context. It scores, ranks, and explains every candidate, and runs a credibility check that flags exaggerated skills. “If someone claims 10 years of Kubernetes but their career is in marketing, the system catches it,” says Bright. “We screen for the best candidates – and the honest ones.” The recruiter doesn’t get suggestions – they get a finished shortlist they can trust.
The result is a full recruitment workflow in one place: applications, screening, shortlisting, pipeline tracking, and communication – without spreadsheets, without switching tools. “Most companies manage their pipeline in a shared Google Sheet,” says Vincent. “CVSense gives you a real pipeline. Nothing falls through the cracks.”
It’s built for scale, but priced for reality: the recruiter in Ikeja with 50 placements a year gets the same intelligence as a Fortune 500 company. “These technologies should be accessible to everyone,” says Vincent.
Where Recruitment Is Going
“Recruitment software has been stagnant for 20 years and can not continue like that,” says Vincent Okeke. Companies moved from paper CVs to PDFs. From filing cabinets to databases. But the actual decision – should we interview this person? – has been handled the same way since the 1990s: a human reading a document under time pressure, making a snap judgement. That era is ending. AI-powered screening will become the standard. Not a premium add-on. The way companies hire. CVSense is built for that world.”
Vincent sees it as infrastructure: “Five years from now, AI-powered recruitment will be as essential as accounting software. You wouldn’t run a business without a proper accounting system. You shouldn’t run one without a proper hiring system. CVSense is that system. The future we are heading toward is one of complete recruitment automation – where everything from job posting to screening, avatar-based agentic AI assessors, shortlisting and even offer management is executed in just a few clicks. All of it delivered with unprecedented speed, precision, and accuracy.
And that future is here “
