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ATS Analyzer Case Study
A tool designed to help applicants see what ATS systems extract and where resumes break.
Job seekers often submit resumes without visibility into how ATS systems parse structure, keywords, and formatting. Rejection feedback is limited, so improvement feels random.
Placeholder for refinement: add concrete pain points from real applicant conversations and hiring feedback loops.
ATS Analyzer makes parsing behavior visible. Users upload their resume, inspect extracted content, and receive clear guidance on improving readability and alignment.
Placeholder for refinement: add rationale behind privacy-first messaging and key flow simplifications.
Playwright review of the live app confirmed the UX sequencing: clear upload affordance, explicit privacy framing, then a results route that surfaces practical improvement paths.
Stack: React · Tailwind CSS · OpenAI API
Landing state that sets expectations around privacy, speed, and workflow.
Upload interaction state showing active analysis flow.
Results state where users review extracted text and actionable suggestions.
This project sharpened a core product-design principle: when feedback is legible, people can improve faster and with less emotional drag.
Placeholder for refinement: add your perspective on how this work connects to your broader mission around clarity, agency, and conscious design.
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