How Ashby actually reads your resume
Ashby is the fast-growth startup favorite because it stacks scoring signals across the funnel. If one signal is weak — even a scorecard comment — you're filtered. Here's how to avoid the landmines.
Parser type
Modern API-based parser; newer architecture than legacy enterprise systems. Processes resumes via a candidate.uploadResume API endpoint, extracting position titles, company names, educational background, and custom field data. Supports DOCX and PDF (iReformat Ashby guide).
Formatting pitfalls
- Two-column / complex layouts: PDF two-column resumes are rated "poor" in Ashby's parsing, with mixed-content-order and missing-key-details as common rejection reasons (iReformat Ashby guide).
- Non-standard fonts or image headers: Can prevent key details from being extracted.
- Lack of measurable achievements: Ashby uses structured scorecards for candidate evaluation; resumes without specific, quantified bullets score lower against scorecard criteria (ResumeGyani Ashby guide).
How recruiter search works
Ashby is an all-in-one platform (ATS + CRM + scheduling + analytics). Recruiters search candidate profiles; Ashby's CRM stores candidate profiles long-term, so a well-parsed profile improves a candidate's visibility for future roles beyond the current application. Ashby also offers AI-assisted application review that analyzes resumes against defined job criteria (iReformat Ashby guide; ResumeGyani).
What parse failure looks like
Parse failures manifest as incomplete candidate profiles — missing position history, blank company fields, or absent education data. Since Ashby prioritizes the most recently uploaded resume across a candidate's profile, a poorly formatted submission can downgrade a previously good profile (iReformat Ashby guide).
Other employer systems
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