CV Analysis
Pro
Upload your CV
20 analyses/month on Pro
📄
Drop your CV here or click the button below
We'll score it out of 100, check ATS compatibility,
and give you exact improvements to make.
and give you exact improvements to make.
PDF · Word (.docx) · Plain text · Max 5 MB
Analysing your CV…
This takes about 20 seconds
78
/ 100
Good — clear room to grow
Your CV passes most ATS filters but 22 points are within reach. Quantifying achievements and adding missing keywords are your two biggest quick wins.
ATS Compatibility90
Keywords82
Impact Language64
Formatting76
Personal Statement61
Brevity & Clarity88
⚡
Critical — Quantify your achievements
"Managed a team" → "Led 8 engineers, cutting release cycles by 30% and delivering £2M in new revenue over 18 months." Numbers make achievements 3× more memorable to recruiters.
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High — Missing target keywords
Add "stakeholder management", "agile delivery", "data-driven strategy" — present in 78% of your target job descriptions but absent from your CV.
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Medium — Rewrite personal statement
Your current opening is too generic. Replace with something specific and measurable tied to your biggest career achievement.
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Low — Strengthen education section
Add relevant modules, dissertation topic, or academic achievements where roles specify degree requirements.
ATS Compatibility Checks
What is ATS? An Applicant Tracking System is software employers use to automatically scan and filter CVs before a human sees them. If your CV fails these checks it may be rejected before anyone reads it. Hover over the ? icons for plain-English explanations.
File format parseable
?The ATS needs to be able to read your CV file. Word (.docx) and simple PDFs work best. Scanned image PDFs, heavily designed layouts or unusual file types often fail to parse correctly.
✓ Pass
Contact details in main body
?Your name, email and phone number must appear in the main body of the CV — not in a header, footer or text box. ATS systems often skip headers and footers entirely.
✓ Pass
No tables or text boxes
?Tables and text boxes look neat but most ATS systems cannot read them properly. Text inside them gets scrambled or skipped entirely. Use plain bullet points and paragraphs instead.
✓ Pass
Standard section headings
?ATS systems look for recognised headings like "Work Experience", "Education" and "Skills". Creative alternatives like "My Journey" or "What I Bring" may not be recognised and your content could be miscategorised or ignored.
✓ Pass
No images or logos
?Images, photos, logos and icons cannot be read by ATS software. They take up space, add no value to the scan and can disrupt the layout of the parsed text around them.
✓ Pass
Keyword density (target roles)
?ATS systems score CVs based on how many keywords from the job advert appear in your CV. If the job requires "stakeholder management" and your CV says "managing relationships", it may not match. Use the exact phrases from the job description where possible.
⚠ Improve
Job title match rate
?ATS systems check whether your previous job titles match or are close to the role being advertised. If there is a significant mismatch your CV may be ranked lower even if your experience is relevant.
⚠ Improve
Chronological order
?Your work history should be listed with the most recent role first. ATS systems are built to read CVs in reverse chronological order. Functional or skills-based CVs that hide dates often confuse the parser.
✓ Pass
Date format consistency
?Use the same date format throughout your CV — for example "Jan 2020 – Mar 2023" or "01/2020 – 03/2023". Mixing formats confuses the ATS when it tries to calculate your length of experience in each role.
✓ Pass
No key info in headers/footers
?Many ATS systems ignore headers and footers completely. If your name, contact details, LinkedIn URL or any other important information is only in the header or footer it may never be read by the system.
✓ Pass
Keywords Found
product strategyroadmap
cross-functionalB2B SaaS
agileuser research
data analysisKPIs
Keywords Missing
These appear in 50%+ of your target roles. Add them naturally.
stakeholder managementagile delivery
data-driven strategyOKRs
discoveryprioritisation frameworks