The Mistakes That Actually Matter
- Job titles that do not match how the industry or the job posting names the role, even if your actual work was functionally equivalent to what they described
- Skills mentioned only inside a narrative paragraph and never listed explicitly, since matching systems weigh explicit mentions far more heavily than implied ones
- Dates formatted inconsistently or left out entirely, which can break how a parser calculates your total years of experience
- Multi-column layouts, tables, or text boxes that confuse a parser into merging or dropping entire sections of content
- Critical information placed inside an image, header, or footer, which many parsers simply cannot read at all no matter how it looks visually
- A generic resume sent unchanged to every job, with no adjustment to match the specific language of each individual posting
- Abbreviations or internal jargon from a previous employer that a general system, or an outside recruiter, will not recognize or credit
Why These Specific Things Cause Trouble
Parsing and matching systems are built to be fast and consistent across thousands of resumes, not to interpret creative choices the way a thoughtful human reader might over a longer read. A parser does not know that your two-column layout was a design choice made to save space, it just knows the text extraction came out scrambled and unusable for matching purposes. A matching system does not automatically infer that 'built customer relationships' means the same thing as 'account management' unless that exact phrase, or a closely related one, appears somewhere else on your resume too.
This is not a flaw unique to any one vendor's software, it is a structural limitation of processing large volumes of unstructured documents quickly, and it applies across nearly every applicant tracking platform in wide use today regardless of price or reputation.
How to Fix Each One
Use a single column, standard section headings like Experience and Education, and consistent date formatting such as month and year for every single entry on the page. Pull key skills out of your bullet points and also list them explicitly in a dedicated skills section, using the same terms the job posting uses wherever your real experience genuinely supports it. Save your resume as a standard, text-based document format rather than an image-based PDF, and avoid putting anything essential in a header or footer, since some parsers skip those areas of the page entirely without reading them.
If your previous employer used unique internal titles or terminology, translate them into industry-standard language on your resume, keeping the original title in parentheses afterward if you want to preserve strict accuracy for your record.
A Simple Way to Test Your Own Resume
Copy the text out of your resume file and paste it into a plain text editor with no formatting applied. If the result looks jumbled, with dates and job titles out of order or run together, that is roughly what a parser might also produce from the same underlying file. This is not a perfect substitute for real testing tools built specifically for this purpose, but it catches a surprising number of the most damaging formatting problems in under a minute, and it costs nothing to do before every major application round you send out.
One More Thing Worth Checking
Open your resume file on a different device or in a different program than the one you used to create it. Formatting that looks fine on your own laptop can shift or break when opened elsewhere, especially with fonts that are not universally installed. Since you cannot know exactly which system will process your resume next, testing it in more than one environment is a cheap way to catch problems before they cost you an interview you were otherwise qualified for.
Content Mistakes That Compound the Problem
Formatting is only half the story. A resume that lists responsibilities instead of outcomes, uses the same three vague verbs throughout, or fails to quantify anything at all will underperform in matching systems even if it parses perfectly. Pair every fix on the formatting side with a genuine content pass: replace 'responsible for' with what you actually did and what happened as a result, since both layers of the system, mechanical and human, reward that kind of specificity equally.
Go through each bullet point and ask whether it answers what changed because you did this work. If it does not, rewrite it until it does, even if that means condensing several vague lines into one specific, stronger one.