Tutorial
Resume Optimization Workflow
Run iterative improvement with parsing, alignment, suggestions, and versions.
Goal
Build a repeatable loop where every resume edit is explainable, verifiable, and reversible.
Prerequisites
- Existing project and target JD
- Parsed baseline card content
Steps
- Review match breakdown and lock high-priority gaps first.
- Fill critical missing card fields before deep rewriting.
- Read each suggestion's target, rationale, and expected impact.
- Save a version after each meaningful update round.
- Compare versions and confirm alignment improvements.
TODO: screenshot-id = tutorial-resume-optimization-loop
FAQ
- Should I apply all suggestions in one pass?
- No, prioritize high-relevance suggestions and iterate.
- How do I avoid over-packaging content?
- Keep facts accurate; optimize structure and clarity only.
- When should I export?
- When critical gaps are resolved and version comparison looks stable.
Next
Go to Interview Prep and Export.