📅 2025-07-11 — Session: Coordinated Resume Parsing and Job Scoring Documentation
🕒 18:55–19:20
🏷️ Labels: Resume Parsing, Job Scoring, Ai Evaluation, User Onboarding, Customization
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The primary objective of this session was to coordinate the development and documentation of two key pages: resume-parsing.md and job-scoring-and-ranking.md. These pages are crucial for guiding users through the job evaluation process using AI.
Key Activities
- Coordinating Documentation: Structured the content for two complementary documentation pages focusing on resume parsing and job scoring.
- User Experience Design: Emphasized the importance of user onboarding and customization, using Jinja2 and JSON schema, to enhance user experience and prevent overwhelm.
- Technical and UX Clarity: Mapped out the technical flexibility and UX clarity needed for assistant customization, ensuring users can effectively navigate the job scoring system without traditional resume uploads.
- Job Scoring Mechanism Overview: Provided a detailed breakdown of the job scoring and ranking mechanism, including heuristics and LLM integration.
Achievements
- Developed a clear structure for the documentation pages that differentiate between resume parsing and job scoring.
- Enhanced user guidance through reframed documentation that facilitates user understanding of the AI job scorer.
- Provided comprehensive guides on customization and interpreting job match results.
Pending Tasks
- Finalize the onboarding strategy documentation to ensure smooth user transition from consumers to designers/operators.
- Continue refining the customization pages to enhance user education and experience.