How to Shortlist Candidates the Right Way

Reading time: 7 minutes  |  Topic: Candidate Screening

Shortlisting is the most important step in the hiring process, and the one most often done badly. Get it right and you move to interviews with a group of genuinely qualified candidates. Get it wrong and you either waste time interviewing people who were never going to succeed, or — worse — you miss the right hire entirely.

This guide gives you a systematic approach to shortlisting that's both faster and more reliable than reading your way through a pile of CVs.

What Shortlisting Really Means

Shortlisting is the process of filtering all applications down to a manageable number of candidates who will proceed to interviews. The shortlist is your pool of viable options — every person on it should be someone who could plausibly get the job.

A common rule of thumb: shortlist 5–8 candidates per role for a first interview round. Fewer than five and you risk not having good options if some decline or perform poorly. More than eight and you're investing interview time that compounds quickly.

Shortlisting is the bridge between initial screening — covered in our guide on how to screen resumes faster — and the interview stage.

Before You Start: Define Your Criteria

The most critical step in shortlisting happens before you read a single CV: defining your criteria. Criteria defined after you've started reading applications are unconsciously shaped by what you've already seen. Criteria defined beforehand reflect what the role actually needs.

Separate your criteria into two categories:

Write these down before you start. Share them with anyone else involved in the process. This ensures consistency across all reviewers.

The Scoring Method That Works

Once your criteria are defined, apply a simple numerical scoring system to each candidate. A 1–5 scale works well:

Weight criteria by their importance to the role. A skill that's central to daily work should carry more weight than a nice-to-have background. Calculate a weighted total for each candidate and shortlist the highest scorers.

When candidate data is structured — as it is after how resume data extraction works — this scoring can be done directly in a spreadsheet rather than in your head while reading PDFs.

Common Shortlisting Mistakes

How to Handle High-Volume Applications

When you receive fifty or more applications, manual shortlisting becomes genuinely unmanageable. The solution is a two-stage approach:

Stage 1 — Automated first pass: Use a semantic CV parser to extract data from all CVs simultaneously and rank them by match to your job description. This gives you a pre-scored list where the most relevant candidates rise to the top automatically.

Stage 2 — Manual review of the top tier: Review the top fifteen to twenty from the parsed, ranked list. Apply your scoring rubric. Shortlist the five to eight highest scorers.

With exporting candidate data to CSV for shortlisting, this entire process can happen in a spreadsheet — one row per candidate, columns for each criterion, formulas for weighted scores.

The Legal Side of Shortlisting

Shortlisting decisions are potentially subject to discrimination law. Documenting your criteria and how you applied them protects your business if a rejected candidate later challenges the decision. This is another reason why written, consistent criteria are not just a best practice — they're a form of legal protection.

Keep your scoring notes for at least six months after a hiring round closes.

Build Your Shortlist in Minutes, Not Hours

Cv Bam Bam parses all your CVs, scores them semantically against your job description, and exports structured candidate data to CSV — so your shortlist practically builds itself.

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