AI SaaS for Scout Efficiency
Just input hiring criteria as text and AI automatically generates optimal assessment logic to streamline scouting operations
Challenge
Manual candidate selection and scout message sending was extremely time-consuming. Variation in scout quality between recruiters and resource allocation for requirements sharing were major challenges.
Solution
Developed an AI SaaS combining scraping and LLM for scout workflow optimization. Built high-accuracy assessment logic from simple text input of search criteria and message templates, eliminating dependency on individual skill and improving efficiency.
Result
Achieved 1,000 monthly sends
Team
1 member, 3 months
PM & full engineering
Role
Responsible for everything from requirements to design, implementation, and operations.
Tech Stack
Key Features
Input hiring criteria and target profiles as text to auto-generate AI assessment logic
Integrated with major scout platforms like doda and MyNavi to auto-evaluate and score candidates
Auto-selection of optimal scout email templates based on assessment results
Extremely simple operation requiring zero coding or specialized knowledge
Technical Highlights
Improving AI Assessment Accuracy
Built a mechanism to auto-generate high-accuracy assessment logic from simple text input, moving away from traditional human-dependent evaluation.
Scalable Design
Designed to handle different assessment criteria per project, anticipating use by RPOs and recruitment agencies.