Research methodology

Pika Resume publishes aggregate patterns from a self-selected set of resumes submitted to its checker, using Pika's proprietary diagnostic rubric; the findings do not measure employer ATS decisions, applications, callbacks, interviews, or hires.

The State of Resumes report uses aggregate results from resumes voluntarily submitted to Pika Resume's free ATS checker. The live report displays its current sample size, covered dates, update time, scoring threshold, and minimum sample rule.

The sample is self-selected. It is not designed to represent every job seeker, occupation, country, employer, applicant tracking system, or successful application.

Pika Resume applies its own diagnostic rubric to parsing and formatting, section structure, contact details, work experience, education, skills and keywords, projects and certifications, impact, grammar, and consistency. The resulting 0–100 score is a Pika Resume score—not a score returned by an employer or commercial applicant tracking system.

Public findings are reported as aggregates. Resume text, names, contact details, files, and other identifiable content are not published in the report. Cuts below the displayed minimum sample are withheld. For data-handling details, read the privacy policy.

• The dataset contains Pika Resume users, not a random population sample.
• A higher Pika score does not prove that an employer will parse, rank, shortlist, or interview a candidate.
• The study does not measure job applications, recruiter decisions, callbacks, interviews, or hires.
• Scores can change as Pika's rubric and product improve; comparisons across versions require care.
• Aggregate patterns describe the observed dataset and should not be treated as causal findings.

For a methodology question, a dated data cut, or a suspected error, email support@pikaresume.com. Include the statistic, the page URL, and how you intend to use it.

See the editorial policy for sourcing standards and the corrections policy for the public error-reporting process.