Stop guessing why candidates aren't being seen. Learn the technical mechanics used by Sariga Staffing Solutions to optimize for visibility, ranking, and machine-readability.
Understand how the ATS breaks down a resume into data fields. Learn to avoid elements like tables and graphics that cause "parsing errors."
Master how systems calculate relevance based on frequency and proximity. Avoid the "stuffing" traps that modern AI screeners flag.
Discover how modern systems understand intent—linking related skills (like React to JavaScript) even if the primary keyword is absent.
Study the binary filters that auto-reject candidates. Learn how to clear these hurdles while maintaining profile integrity.
Learn how systems store data over time. Ensure a profile remains searchable in long-term "cold" talent pools.
Deep dive into Optical Character Recognition. Understand how systems read text and why "flattened" files are the enemy.
Master the specific Boolean syntax used within major enterprise platforms like Workday and Taleo.
Explore automated triggers that advance or stall applications based on metadata and historical data points.
Analyze why match scores vary across different software providers and how to normalize a resume for all of them.
Identify technical "blind spots" like character limits and unsupported fonts that lead to data loss.
Master the "Single Column" doctrine to prevent the parser from mixing skills with work history.
Calculate the exact ratio of skills to prose needed to trigger top-tier ranking without being flagged as spam.
Use the X-Y-Z formula to weigh your impact. Systems prioritize metrics (%, $, +) in modern competency ranking.
Translate creative titles into industry standards that the ATS can index—switching "Wizard" for "Engineer."
Identify which verbs (Led, Optimized, Scaled) carry more weight in behavioral-based algorithms.
The .docx vs .pdf debate. Learn which handle specific enterprise systems better for flawless data extraction.
Avoid the "Invisible Header" trap where contact data and LinkedIn links are skipped by the parser.
Why "black-hat" tactics are now flagged as fraud by AI-powered hiring bots.
Balance machine-readability with human appeal. Once you rank #1, you still need to win the human eye.
Aligning the resume with LinkedIn "auto-fill" data to clear automated verification protocols.
Track Application-to-Interview ratios to diagnose if the barrier is the resume or the software config.
Test different versions to see which keywords trigger faster responses in specific industries.
Understand the "Referral Priority" logic that places specific candidates at the top regardless of score.
How companies find internal talent and how to optimize an employee profile for lateral moves.
Understand Service Level Agreements—making a profile "fast to review" for timed recruiters.
Map drop-off points to identify where technical hurdles stop candidates from finishing apps.
Learn to interpret "Disposition Codes" to understand exactly why a machine or human rejected a profile.
How CRM features in an ATS keep "Silver Medalists" warm for future roles.
Understand "Blind Hiring" settings and why content must be powerful enough to stand without personal data.
A 10-point checklist to ensure 100% compliance before any profile hits the "Submit" button.
Mastering these 30 strategic pillars transforms you from a resume writer into an ATS Strategist. Ready to verify your expertise?