Recruiters often face a situation where most received resumes are mismatched with the job requirements.
This not only wastes time but also complicates finding the ideal candidate. Why does this happen, and what can be done to improve the selection process? Let’s take a closer look.
Why do most resumes fail to meet requirements?
The job advertisement is too vague
Many companies create job descriptions that are either too broad or insufficiently detailed. Candidates who don’t fully meet the requirements still apply because they’re unsure if their qualifications are adequate.
Example of a vague job posting:
We are looking for a digital marketing specialist with experience in online campaigns and knowledge of social media.
Why is this posting suboptimal?
- It doesn’t specify whether experience in managing paid campaigns (e.g., Google Ads, Facebook Ads) is required or whether content creation is more important.
- It lacks information about the industry—does the company operate in B2B, e-commerce, or local business?
- It doesn’t indicate whether the role is for a junior, mid-level, or senior specialist.
Better example of a job posting:
We are looking for a digital marketing specialist with a minimum of 3 years of experience managing PPC campaigns (Google Ads, Facebook Ads) for e-commerce clients. The candidate should have proficiency in web analytics (Google Analytics) and experience managing budgets of at least PLN 50,000 per month.
Effect:
This kind of posting clearly defines the requirements, eliminating candidates who don’t fit the role—for instance, those with content creation experience but no knowledge of paid campaigns.
Candidates adopt a “send-to-all” approach

Some candidates send their resumes en masse, hoping for luck, instead of tailoring their applications to specific job postings. As a result, recruiters receive applications that fail to address key requirements.
Resumes are poorly prepared
Even candidates with appropriate qualifications often submit resumes that don’t reflect their capabilities. Common shortcomings include:
- Missing keywords related to the job requirements.
- An unclear description of experience relevant to the role.
Technology introduces additional challenges
Many companies use ATS (Applicant Tracking Systems), which automatically process resumes and filter out those that don’t include the right keywords. Candidates unfamiliar with how to optimize resumes for ATS may be rejected at the first stage.
What are the consequences of so many mismatched resumes?
- Time wasted: Screening hundreds of unsuitable resumes takes hours that could be spent interviewing promising candidates.
- Overlooking ideal candidates: Recruiters may miss valuable resumes that don’t stand out amidst the flood of applications.
- Recruitment team frustration: Lengthy hiring processes can negatively impact recruiter morale.
Too many resumes? What can you do?

Write precise job postings
A good job posting should be specific and include:
- “Must-have” and “nice-to-have” requirements: Clearly state what is absolutely necessary.
- Role details: For example, technologies that will be used daily, the number of projects, and the team the candidate will work with.
- Organizational culture: Mention company values and work style to attract culturally aligned candidates.
Use tools to assess resumes
Leveraging tools like Hero Parser enables automatic resume analysis for alignment with requirements.
How does it work?
- The system processes resumes and compares them with job requirements.
- It evaluates not only skills but also experience, language proficiency, and even distance from the office.
Benefits:
- Time savings.
- Focus on candidates who meet the hiring manager’s requirements.
Educate candidates about writing effective resumes
Provide tips on the company’s website or in job postings, such as:
- Highlighting the importance of tailoring resumes to the job description.
- Indicating key information that should be included.
- Encouraging the use of keywords from the job posting.
Regularly analyze the recruitment process
Monitor metrics like:
- How many resumes per job posting meet the requirements?
- How quickly are ideal candidates identified?
- How do changes to job descriptions impact application quality?
Example: Hero Parser in action

Suppose a recruiter is looking for an IT project manager. Using Hero Parser, the process could look like this:
- Entering the job posting into the system: The recruiter pastes the job description or manually inputs requirements into Hero Parser. It can also integrate with the company’s ATS, allowing new recruitment processes to be created simultaneously in both systems.
- Submitting resumes: Candidates submit their applications, which automatically appear in Hero Parser.
- Resume analysis: Hero Parser analyzes experience, skills, and seven other compatibility indicators.
- Candidate listing: The system generates a ranked list of candidates based on their compatibility scores.
Conclusion
While 80% of resumes may not meet requirements, recruiters can minimize this issue by adopting the right strategies and tools. Precise job postings, candidate education, and process automation—such as resume screening—save time and enable finding the ideal candidate faster than ever.
Want to learn more? Test Hero Parser and see how it can streamline your recruitment process!





