Manual CV screening has three distinct time layers. Most TA teams track none of them separately. Separating them reveals not just where the hours go, but what each layer is actually producing in terms of assessment quality.
Component 1
Initial Screen
Applications x Minutes per CV / 60 = Initial screen hours
The first pass -- every application in the inbox, reviewed before any decision is made. This is the highest-volume layer and typically the layer where assessment quality degrades fastest as numbers rise.
Component 2
Review and Assessment
(Longlisted CVs x Deep review minutes + Screened candidates x Screen duration minutes) / 60 = Review hours
Candidates who made the first cut and now receive a closer read, plus any phone or video screening. Assessment quality is higher here because volume is lower and criteria are more consistently applied.
Component 3
Hiring Manager Time
Shortlisted candidates x Hiring manager review minutes / 60 = HM hours
The time the hiring manager puts into the final shortlist before interviews. Often the most expensive time in the process -- and the most easily wasted by poor shortlist quality from Components 1 and 2.
Total per role: Component 1 + Component 2 + Component 3 = Screening hours
Cost per role: Screening hours x Recruiter hourly rate = Cost (£)
Fully loaded hourly rate = (Annual salary + employer NI + benefits + overhead) / 1,760 hours
Role: mid-level finance analyst, UK employer
| Input |
Value |
Note |
| Applications received |
200 |
UK average: 222 per role (Greenhouse, Q1 2024) |
| Initial scan time per CV |
3 min |
For applications 1-40. Falls sharply after position 40 |
| Longlisted for deeper review |
25 CVs |
12.5% of applicants |
| Deep review time per CV |
8 min |
Includes notes and criteria check |
| Phone or video screens |
12 |
From the longlist of 25 |
| Screen duration |
30 min |
Excluding scheduling and follow-up admin |
| Final shortlist to hiring manager |
6 CVs |
3% of total applicants reach this stage |
| Hiring manager review time |
20 min |
Per CV, including comparison notes |
| Recruiter hourly rate (fully loaded) |
£40/hr |
Approx. £55k total cost / 1,760 hours |
Component 1: Initial screen200 x 3 / 6010.0 hrs
Component 2a: Deep reviews25 x 8 / 603.3 hrs
Component 2b: Phone screens12 x 30 / 606.0 hrs
Component 3: HM review6 x 20 / 602.0 hrs
Total screening hours per role21.3 hrs
Cost per role
£852
21.3 hrs x £40 recruiter rate
Annual cost (15 roles)
£12,780
In manual screening time alone
Of the 21.3 hours above, 10 hours (47%) were spent on the initial screen -- before any structured assessment happened. Those 10 hours were not equally productive. Here is what typically occurs in that first layer:
1-40
Applications 1-40: genuine assessment
The recruiter is fresh and criteria are actively applied. Each CV receives 3-4 minutes of attention. Notes are made. Decisions are traceable to specific requirements in the role.
41-120
Applications 41-120: pattern recognition begins
Attention per CV drops. The recruiter has now seen 40 variations of the same profile. Average scan time falls to under 90 seconds. Decisions become increasingly driven by company names, job titles, and layout rather than structured criteria.
121-200
Applications 121-200: under 30 seconds
On average, each CV receives less than 30 seconds. Decisions at this stage are almost entirely visual -- a scan for obvious disqualifiers. Whether this is sufficient depends on what the role actually requires.
What the distribution means for your shortlist
In this worked example, approximately 35 of the 200 applications (17.5%) received assessment against the role criteria. The remaining 165 (82.5%) were processed by pattern recognition.
That is not a failure of intent. It is a description of what cognitive load does to assessment quality at volume. The relevant question is not whether all 200 CVs were screened -- it is whether your shortlist reflects your best judgement, applied consistently, or the 6 candidates who appeared most recognisable in the first third of the inbox.
Fill in your own inputs below. Use the last 3-5 roles you filled as a reference, not your best-case or worst-case role.
| Input |
Your value |
Formula variable |
| Average applications per role |
___________ |
A |
| Initial scan time per CV (minutes) |
___________ |
B |
| Typical longlist size (CVs) |
___________ |
C |
| Deep review time per CV (minutes) |
___________ |
D |
| Number of phone/video screens |
___________ |
E |
| Screen duration (minutes) |
___________ |
F |
| Final shortlist size (CVs) |
___________ |
G |
| HM review time per CV (minutes) |
___________ |
H |
| Recruiter hourly rate, fully loaded |
£__________ |
R |
Component 1(A x B) / 60____ hrs
Component 2((C x D) + (E x F)) / 60____ hrs
Component 3(G x H) / 60____ hrs
Total hours per role____ hrs x R = £____
Three questions worth sitting with
What share of your total screening time goes to the initial first pass -- before any criteria-based assessment begins?
If a rejected candidate asked "Can you tell me specifically why my application did not progress?" -- for what fraction of your decisions could you point to documented criteria?
If the quality of assessment applied to application 1 could be applied to application 200, what would your shortlist look like?
There is no benchmark to beat. This formula produces your number -- a description of how your process is currently structured. The useful work is not comparing it to a standard. It is deciding whether the shortlist you are producing reflects your best judgement, applied consistently, or the path of least resistance through a full inbox.
This document is produced for professional education purposes. The frameworks and observations presented are general in nature and do not constitute legal, HR, employment, or compliance advice. Nothing in this document should be treated as a substitute for qualified professional or legal guidance. If you are implementing changes to hiring processes, assessment frameworks, or employment practices, consult a qualified employment lawyer or HR professional.
Talent Atrium is an AI-assisted candidate scoring and shortlisting platform: talentatrium.com