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Founder Story

I Was Forgotten in a Recruitment System for 4 Months.
So I Built Curo.

M
Michael Mc Calman
Founder, Curo
May 2026 · 7 min read

I applied for a job. Four months later, I was still in their system. No interview. No rejection. No update. Just silence.

My first reaction was not frustration. It was something quieter: I never even got the chance to prove myself.

That moment is the reason Curo exists. Not because recruitment software is outdated — though some of it is. But because there are real people with real ability who never get the space to say who they are. A CV is a document. A person is far more than that.

85 yrs
of personnel psychology research points to the same conclusion
0.42
predictive validity for structured interviews vs 0.19 for unstructured
20pts
higher final interview pass rate from AI-supported pipelines

Candidate 67

After that application I started paying closer attention.

I noticed the pattern everywhere: name, email, CV upload, submit. A process that feels structured until you realize the human on the other end is reviewing their 67th candidate after a long day. Candidate 67 does not get the same sharpness that candidate one did. That is not a character flaw. That is human fatigue — and it is almost never accounted for in how we design hiring.

Candidate 67 often does not get rejected. They get forgotten. No email, no update, no closure. Just silence.

I know because I was candidate 67.

What 85 Years of Science Already Knew

Personnel psychology has been consistent for a long time: structure beats intuition.

Research spanning more than eight decades shows that structured interviews and competency-based assessments predict job performance far more accurately than unstructured conversations — with a predictive validity of 0.42 compared to just 0.19 for unstructured formats (Hunter and Schmidt, 1998; Wang, 2024). More than double the accuracy. Highhouse (2008) called the field's continued reliance on gut feeling "stubborn and well-documented."

The research does not suggest that experienced recruiters are bad at their jobs. It shows that structure makes good recruiters significantly better — and makes every candidate's experience meaningfully fairer.

Curo did not adopt this framework because it is fashionable. The science explains why Curo is necessary.

Where Most AI Tools Miss the Point

The numbers around AI-assisted recruitment are genuinely impressive. Candidates from AI-supported pipelines pass the final human interview at a rate 20 percentage points higher than those from traditional processes (arXiv, 2025). Screening time drops from 3.33 hours to 1.70 hours per qualified candidate (arXiv, 2025). And 86% of recruiters report that AI tools significantly reduce time-to-hire (DemandSage, 2024).

But most of those tools are doing the same thing, just faster: screening CVs.

A faster CV screen is still a CV screen. You are still judging a person by a piece of paper. The bias, the gaps, the missed potential — they all survive the automation.

Efficiency without fairness is just faster noise.

Curo takes a different approach. Instead of automating another CV filter, Curo conducts a structured, competency-based conversation with each candidate — a coaching-style intake that gives people the space to explain what they actually achieved, how they think, and what they are capable of. The recruiter receives a full intelligence report: competency scores, key evidence, suggested interview questions, and a client-ready summary paragraph. All before the first phone call.

What Curo Actually Does

In one sentence: Curo turns the first contact from a document filter into a structured conversation that surfaces real competence.

For candidates, it is a guided intake that helps them articulate their achievements and skills in their own words — on their own time, on any device.

For recruiters, it is a candidate intelligence report waiting in the dashboard by the time they sit down to review the pipeline. Assessment scores, highlights, ready-to-use interview prompts. Not a summary of a CV. An actual read on the person.

For hiring managers and clients, it is the difference between receiving a name and receiving a substantiated recommendation.

Candidate 67 gets the same quality of attention as candidate one. Every time.

Why This Is a Fairer Process

Three things change when structure replaces gut feeling at the earliest stage of recruitment.

Consistency: every candidate goes through the same conversation, evaluated against the same framework. The recruiter's energy level at 4pm on a Friday does not determine someone's outcome.

Evidence over impression: instead of a vague feeling about someone's communication skills, recruiters receive concrete examples scored against a defined tier. Disagreements become discussable. Decisions become defensible.

Reduced bias: unconscious bias is most powerful when the process is least defined. Structure at the intake stage — the stage where most candidates are lost or forgotten — is where the change matters most.

This is not a claim that technology solves everything. It is a claim that the first contact can be made fairer, more informative, and more human. And that a better first contact improves every step that follows.

From Experiment to Product

Before Curo there was Clairo, a CV coaching tool I built to address the same problem from the candidate's side. Users rated the coaching experience 8 or 9 out of 10. One person wrote: "I had never thought about myself this way before." Another said it finally helped her see her own accomplishments clearly.

The CV output could be stronger. But the conversation — that worked.

That insight became the foundation of Curo. The value is not in what the system produces. The value is in the quality of the conversation itself, and what it reveals about a person that a piece of paper never could.

Sources
1.Schmidt, F. L., & Hunter, J. E. (1998). The validity and utility of selection methods in personnel psychology. Psychological Bulletin, 124(2), 262–274. View source
2.Highhouse, S. (2008). Stubborn reliance on intuition and subjectivity in employee selection. Industrial and Organizational Psychology, 1(3), 333–342. View source
3.Aka, A. et al. (2025). Better Together: Quantifying the Benefits of AI-Assisted Recruitment. arXiv:2507.08029. View source
4.Filatova, V. et al. (2025). AI-Driven Decision-Making System for Hiring Process. arXiv:2512.20652. View source
5.DemandSage (2024). AI Recruitment Statistics. View source

Try Curo

If you are a recruiter tired of making decisions on incomplete information — or a candidate who has ever felt overlooked — Curo was built for you. Not a faster filter. A fairer conversation.

Start free at curo.coach