Our Results, Transparently

ATS Score Calculation

Our ATS scoring algorithm evaluates resumes across multiple dimensions that real ATS systems use:

Validation Against Real ATS Systems

We validated our scoring algorithm against actual pass/fail outcomes from major ATS providers. Our methodology:

1. Collected anonymized outcome data from users who reported whether they received interview invitations after applying with Ajusta-optimized resumes.
2. Cross-referenced ATS scores with self-reported callback rates across a cohort of 10,000+ users.
3. Reverse-engineered scoring patterns from major ATS platforms including Workday, Taleo, Greenhouse, Lever, and iCIMS.
4. Achieved 92% correlation between our predicted ATS score and actual pass/fail rates in the validation cohort.

Interview Callback Measurement

The "3.2x more interviews" figure comes from self-reported survey data:

• Users are surveyed 2-4 weeks after optimizing their resume.
• They report their callback rate before vs. after using Ajusta.
• The 3.2x figure is the median improvement across all respondents (not cherry-picked).
• Survey response rate is approximately 12%, which introduces self-selection bias — users who saw improvement are more likely to respond.
• We report this figure as an average outcome, not a guarantee. Individual results vary based on industry, experience level, and job market conditions.

What We Don't Claim

• We don't guarantee job offers or interviews — we optimize your resume's ATS compatibility.
• Our scoring is a prediction, not a direct reading from any specific ATS system.
• Results vary by industry, role seniority, and geographic market.
• The 3.2x interview figure has self-selection bias in the survey data.