Workday
PassClean parse. All fields extracted.
Sample report
What your CV review looks like
Six-dimension score. Parser-specific notes per major ATS. Ranked fix list with quantified impact per fix. Before-and-after bullet rewrites. Below is a real sample, shown the way the report appears for any uploaded CV.
Overall ATS score
78
/ 100
Below the 80 threshold most ATS treat as the human-review line. Apply the top 3 fixes below and the projected score is 86.
Six dimensions, scored independently
The overall score is a weighted blend. The dimension bars below show exactly where the gap is, so you know what to edit first.
Keyword match71
Missing 4 of 12 must-have terms from the job spec. Spec says "customer support", CV says "customer assistance".
Parseability88
Clean parse in Workday, Greenhouse and Lever. Taleo loses the right-column dates 1 of 3 attempts.
Formatting92
Single column, Calibri 11pt, standard headings. No tables or graphics. Strong baseline.
Contact info95
Name, email, phone, LinkedIn URL all in the body. Header bar is empty (correct).
Action verbs64
Three bullets start with "Responsible for". Variety is low: 4 of 14 bullets use "Managed".
Quantified achievements58
5 of 14 bullets contain a number. Lift this to 9 of 14 and the overall score reaches 86.
How each major ATS reads your CV
A single overall score hides the cases where one specific parser fails. Our report breaks the parse down per system so you know exactly which one to optimise against.
Greenhouse
PassClean parse. All fields extracted.
Lever
PassClean parse. Right-column scrambled once in 5 runs.
iCIMS
PartialClean parse. Mixed date formats flagged.
Taleo
PartialLoses right-column dates 1 of 3 attempts. Switch to plain dates inline.
SmartRecruiters
PassClean parse. All fields extracted.
Ranked fix list, sorted by score impact
Each fix shows the projected score lift in points so you know which one to do first. The top three on this sample CV are worth +17 points combined.
- 01+8 pts
Add the missing keywords from the job spec
The spec lists "customer support", "Salesforce", "Zendesk" and "stakeholder management" as must-haves. Your CV uses "customer assistance" (rename), "CRM tools" (replace with "Salesforce, Zendesk"), and does not mention stakeholder work despite the experience being there.
- 02+5 pts
Quantify the first bullet under each role
Three of your seven roles open with an unquantified bullet. Recruiter eye-tracking research shows the first bullet under each role gets the most attention, so it should carry your strongest number. Add team size, time saved, or revenue moved to each opener.
- 03+4 pts
Replace "Responsible for" openers
Three bullets start with "Responsible for". Switch to action verbs that show what changed: "Led", "Built", "Reduced", "Negotiated". Same content, different signal.
- 04+3 pts
Tighten the Skills section
Your Skills block lists 9 generic soft skills ("strong communicator", "team player"). Replace with specific hard skills and tools (Salesforce, Excel, SQL, stakeholder reporting). The dedicated Skills block is weighted heavily by ATS keyword search.
- 05+2 pts
Standardise date format
Your CV mixes "Mar 2024 - Present" with "03/2024 to current". Pick one and apply it everywhere. Taleo and iCIMS sometimes treat mixed date formats as parsing anomalies.
Before and after rewrites
For each flagged bullet, the report suggests a concrete rewrite. Same content, different signal.
Bullet 1 under current role
Before
Responsible for managing the social media accounts and growing audience across channels.
After
Led a 6-person social team across Instagram, TikTok and LinkedIn, growing combined audience by 180k in 9 months.
Why: Action verb opener. Scope (6 people, 3 named channels). Real metric (180k) with a timeframe (9 months).
Summary
Before
Experienced marketing professional with strong communication skills and a passion for results-driven campaigns.
After
B2B SaaS marketer with 6 years across paid acquisition and lifecycle. Owned content, email and paid social for a 250k MRR scaleup. Looking for a senior demand generation role at a Series B or C company.
Why: Names the function (B2B SaaS marketing), the function specialism (paid + lifecycle), the scope (250k MRR scaleup), the target (Series B or C). Specific, defensible, easy for a recruiter to triage.
Skills section
Before
Strong communicator, team player, results-driven, attention to detail, hard worker, problem solver.
After
HubSpot, Marketo, Salesforce, LinkedIn Ads, Google Ads, GA4, A/B testing, MQL/SQL attribution, demand generation, lifecycle email.
Why: Hard skills, named tools, specific methods. Each one is searchable in the ATS and verifiable in interview.
Get the same report for your CV
Free score, six dimensions, parser-specific notes for every major ATS, ranked fix list. 60 seconds. No card required.
About the sample
Is this a real report?
The structure, dimensions, and scoring approach are exactly what you get when you upload your CV. The specific scores and fix list shown here are an anonymised composite sample. Real reports use your own CV content, your own metrics and your own target spec.
How long does the real check take?
About 60 seconds for the score, dimension breakdown and fix list. Re-scoring after edits takes the same time, so iterating on a CV in 30 minutes typically produces 3 to 4 score checkpoints.
What information do you need to give a report like this?
Just the CV file (.docx, .pdf or .doc). For a per-spec keyword match, also paste the job description. We do not require an account for the first free check.
How does this compare to other ATS scorers?
Most return a single overall grade. Ours splits the score into six dimensions, adds parser-specific notes per major ATS, and ranks the fix list by quantified score impact. The full comparison is in our AI resume checker guide.
Will my CV be stored or used to train AI?
Your CV is processed to generate the score and is encrypted at rest. We never share it with third parties and never use it to train AI models. You can delete it from your dashboard at any time.