csat

기출문제를 빠르고 간편하게 자르는 도구

수능 & 모의평가의 표준점수 정보를 이용해 각 시험의 국어 / 수학 난이도를 점수화한다

User feedback survey widgets for React

A collection of customer satisfaction scores and metrics used by businesses to measure and assess customer satisfaction.

Optimized language model research and development for solving Korean CSAT (College Scholastic Ability Test) problems, with a focus on Korean language and social studies sections.

충남대학교 입학전형 환산점수 계산기

Consultas SQL (PostgreSQL) para soporte: SLA, tiempos, CSAT/NPS, cohortes, ranking de agentes.

Production-grade AI-augmented Customer Support Platform. Features grounded RAG with Google Gemini 2.5 Flash, ChromaDB vector retrieval, multi-turn session memory, hybrid confidence & escalation scoring, CSAT feedback analytics, a full admin telemetry dashboard & branded Swagger docs.

A collection of customer service case studies covering escalation handling, operational efficiency and agent onboarding

Interactive Power BI dashboard analysing customer satisfaction, response time and support performance..

A simple helpdesk csat survey to send after tickets are closed that sends responses to your helpdesk or email.

Optimized language model research and development for solving Korean CSAT (College Scholastic Ability Test) problems, with a focus on Korean language and social studies sections.

Zendesk Integrated app with a live CSAT countdown timer per ticket, real-time sync across agents, channel-specific rules, and Sunshine Conversations integration

Customer satisfaction analytics tool for monitoring and visualizing CSAT scores and trends.

Serviço de integração entre Podio e banco de dados para automatizar a coleta, processamento e armazenamento de informações de leads para CSAT.

Python Based EDA and RCA for CSAT Score

Customer Satisfaction: How satisfied was the customer with your service or product

A practical guide to tracking, analyzing and improving Customer Satisfaction scores across BPO, Fintech and Telecom support environments

수능·모의평가 기출을 내려받아 문항별로 크롭·전사하고 교육과정 단원에 분류해 인쇄용 문항집을 만드는 도구. 사회탐구·과학탐구 17과목. Claude Code / Codex 스킬.

A machine learning classification project to predict Flipkart customer satisfaction (CSAT) scores based on customer service data. This project identifies key drivers of satisfaction using data preprocessing, feature engineering, handling class imbalance, and comparing ML models like Random Forest, XGBoost, and LightGBM.