LIVING RESEARCH
ATS platforms evolve constantly. Our research tracks these changes in real time, ensuring our optimization strategies reflect the latest screening patterns and system updates.
Workday rolled out a significant update to their resume parsing engine this month. Our testing reveals changes to how multi-column layouts are processed, with improved handling of two-column formats but continued issues with three-column designs. Skills sections using bullet points now parse more reliably than comma-separated lists.
Greenhouse has begun rolling out an AI-assisted screening layer that supplements traditional keyword matching. Early testing shows this system evaluates contextual relevance of keywords, not just presence. This means keyword stuffing strategies are becoming less effective on Greenhouse-powered applications.
Following recent regulatory changes, healthcare-focused ATS configurations have updated their keyword requirements. Our testing shows increased weighting for 'HIPAA 2025 compliance,' 'telehealth protocols,' and 'AI-assisted diagnostics' across iCIMS and Workday healthcare implementations.
We've completed our quarterly compatibility test across all major ATS platforms. PDF parsing has improved significantly on Lever and Greenhouse, but Workday and Taleo still show better results with DOCX format. Our updated recommendation matrix is now reflected in all client deliverables.
iCIMS has expanded their knockout question capabilities in the latest update. New question types include salary expectation ranges and remote work preference filters. We've documented the new patterns and updated our client guidance accordingly.
Our quarterly analysis of 5,000+ tech job postings reveals shifting keyword priorities. 'AI/ML' mentions have increased 40% year-over-year, while 'blockchain' has declined 60%. New high-frequency keywords include 'LLM integration,' 'prompt engineering,' and 'AI safety.'
Updates are published weekly based on our ongoing research and testing. Subscribe to receive notifications.