Conversational QA & Logic-Based Response Optimization
Focused on the quality assurance, evaluation, and structural optimization of conversational text and communication logic within an educational consulting framework. Main responsibilities involve auditing student interaction data, evaluating conversational quality, and rewording feedback into clear, concise, and encouraging text outputs. Additionally, designed the multi-layered conditional logic used to dynamically segment users and dispatch customized, program-specific interview reminders based on multi-layered applicant data. Adhered to strict formatting and quality guidelines to ensure optimal tone, clarity, and engagement across all generated communications.