Most CV advice is either generic or based on conventions that are 15 years old. "Keep it to one page." "Use bullet points." "Start with your name in large font." These tips are not wrong, but they are so universal that following them does not differentiate you from anyone else following the same advice.

What application data from 2026 actually shows is more specific and more useful than most guides suggest.

How Applications Are Actually Screened

The majority of applications at companies with 50 or more employees are first processed by an Applicant Tracking System (ATS) before any human reads them. ATS systems vary significantly in sophistication. Basic systems keyword-match your CV against the job description. More sophisticated systems parse your experience chronologically, identify claimed skills, and score the match.

The implication is that your CV needs to perform two jobs: pass algorithmic screening first, then persuade a human reviewer. These two requirements are not identical, and optimising only for one of them while ignoring the other is the most common mistake in CV writing.

What ATS Systems Actually Look For

Keyword matching. The most direct way an ATS screens CVs is by looking for words and phrases from the job description. If the job description mentions "stakeholder management" and your CV says "client relationship management," a basic ATS may not recognise these as equivalent. The fix is straightforward: use the exact language from the job description where it accurately describes your experience.

Chronological structure. ATS systems parse better when experience is listed in reverse chronological order with clear start and end dates. Functional CVs (which lead with skills rather than experience) often confuse ATS parsers and result in incorrect parsing of dates and roles.

Simple formatting. Tables, text boxes, graphics, and non-standard fonts frequently cause ATS parsing errors. Your CV should be a clean, simply formatted document. The formatting that looks impressive to a human eye often causes problems for automated parsing.

Section headers. Standard section headers ("Work Experience," "Education," "Skills") are recognised reliably by most ATS systems. Creative alternatives like "My Career Story" or "What I've Done" may not be parsed correctly.

What Human Reviewers Actually Look For

A human reviewer typically spends 6 to 10 seconds on an initial scan of a CV. In that time, they are looking for a match between their mental model of the role and the candidate on the page.

Relevance is communicated first by job titles. The reviewer looks at your most recent title and your trajectory. If the trajectory tells a coherent story that points toward this role, they keep reading. If the title sequence is confusing or the trajectory appears to be going sideways, many reviewers stop.

Achievements, not responsibilities. "Responsible for managing a team of six" describes your responsibility. "Grew team from two to six people over 18 months while maintaining 94% client retention" describes your achievement. The second gives the reviewer something concrete to hold onto. The first does not differentiate you from everyone else who has managed a team.

Numbers wherever honest. Specific numbers are more credible and more memorable than general descriptions. Not every role produces quantifiable achievements, but many roles produce more of them than most CVs capture. Think about percentages, headcount, budget sizes, timeframes, and scale indicators.

The Most Common CV Mistakes in 2026

AI-generated language that sounds like everyone else's CV. ATS systems are increasingly screening for content that appears generated. Human reviewers recognise it immediately. If your CV sounds like it was written by a chatbot, it is creating a negative impression whether or not it passes the ATS.

Skills sections that list every technology ever used. A skills section with 40 items suggests that the candidate has not thought carefully about which skills are most relevant. A focused skills section with 10 to 15 genuinely relevant items, matched to the target role, is more effective.

Missing keywords from the target role. Compare your current CV to the job description you are applying for. Identify words and phrases in the job description that do not appear in your CV. If they accurately describe your experience, add them. This is the single highest-return CV optimisation available.

Unprofessional email addresses. Hiring managers in 2026 still notice. Use a clean combination of your name.

Dates that create confusion. Employment gaps are not disqualifying in 2026. But unexplained gaps or date formatting inconsistencies create questions that waste reviewer attention. Be clear and consistent.

Tailoring for Each Application

A CV that is tailored for a specific role consistently outperforms a general CV. The tailoring does not need to be a complete rewrite. It involves: reordering bullet points to lead with the most relevant experience, adjusting the professional summary to reference the specific role type, and ensuring the keywords from the job description appear naturally in the document.

Most people do not tailor because it is time-consuming. Futurii's CV intelligence feature analyses your master profile against each specific role, identifies the keyword gaps, surfaces achievements from your profile that are not yet on your CV, and generates a tailored version automatically. Every change is sourced from your own verified experience. Nothing is invented.