← Insights

Hiring

How to screen 100 applications when hiring isn’t your full-time job

A practical framework for reviewing every application fairly when recruitment is one hat among many.

Arsénio Ferraz — CEO & Co-Founder, Venora · 23 July 2026 · 6 min read

Here’s a scene from almost every SME I know. A role opens. The ad goes out. A hundred applications arrive, and land on the desk of someone whose actual job is payroll, or operations, or running the company.

The first evening, they read carefully. Ten CVs, proper notes. The second evening, twenty more, faster. By the weekend, the remaining seventy get a ten-second glance each, and whoever applied last week is competing against a tired brain, not against other candidates.

Nobody designed this. It’s what happens when attention runs out before the applications do. The good news: most of the damage is avoidable with process, not heroics. Here’s the framework.

1. Define “good” before you open a single CV

The most expensive screening mistake happens before screening starts: reading applications with no written criteria. Without them, the first impressive CV becomes the benchmark, and everyone after is compared to that person instead of to the role.

Before opening the pile, write down:

  • 3 to 5 must-haves. Things the job genuinely cannot be done without. Be brutal here: every “must-have” that’s really a nice-to-have silently filters out good people.
  • 3 to 5 nice-to-haves. Real differentiators, weighted less.
  • 1 to 2 disqualifiers. Hard constraints (location, language, legal requirements).

This takes twenty minutes and changes everything after: screening becomes checking against a list instead of forming an impression, which is faster, fairer, and far more consistent at CV number 80.

2. Do a two-pass read, not one deep read

Reading every application deeply, in arrival order, is how the queue-position lottery happens. Do two passes instead:

  • Pass one, sort, don’t judge (30 to 60 seconds each). Against your must-haves only: yes, maybe, no. No notes, no agonising. The goal is to shrink the pile, not to rank it.
  • Pass two, read properly (the “yes” pile, then “maybe” if needed). Now give real attention to a pile that’s a fraction of the size, with your criteria next to you.

Two passes feel slower. They’re dramatically faster, and every application gets looked at against the same bar, whether it arrived first or last.

3. Batch the work; don’t graze on it

Screening in stolen five-minute gaps between other tasks is the worst of both worlds: it feels constant and produces inconsistent judgements. Block two or three fixed sessions in the calendar and do nothing else in them. At SME volume, pass one over a hundred applications is a single afternoon, when it’s actually an afternoon and not three weeks of grazing.

4. Reply fast, especially to the “no” pile

Speed is part of screening, not an afterthought. The strongest candidates are in other processes and are gone within days, so a slow reply is a rejection you didn’t mean to send. And every candidate you ignore tells their network about it; in an SME’s local market, that reputation compounds fast.

A same-week acknowledgement to everyone and a clear “no, thank you” to pass-one rejections cost minutes with templates, and put you ahead of most companies competing with you for the same people.

5. Keep score, or fatigue keeps it for you

For the shortlist, use the same simple scorecard per candidate: your criteria, a score, one line of evidence each. It keeps the comparison honest when interviews are spread across two weeks, and it’s the only defence against the classic trap: hiring the most recent good candidate instead of the best one.

Where software fits (and where it doesn’t)

Everything above works with a spreadsheet and discipline. What software, including, yes, ours, changes is the economics of pass one: reading everything without fatigue, sorting against your criteria, and showing the reasoning so you can check it. The judgement in pass two, and the decision itself, stay with you. That division of labour, machine reads and human decides, is the principle behind our honest guide to AI in recruitment for SMEs.

But tool or no tool, the principle stands: a candidate’s chances should depend on their fit, not on where they landed in your inbox.