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Modernizing Tawkify's Matchmaking Platform for Scalability and Efficiency

kitrum.com

Business services

Consumer products & services

Challenges in Scaling and Process Optimization

Tawkify faces difficulties in scaling matchmaker capacity while maintaining quality, excessive time from user registration to first date, lack of established QA processes for critical systems, and communication challenges across time zones and teams.

About the Client

Personalized matchmaking service using human matchmakers and technology to connect compatible individuals

Key Goals for Platform Modernization

Improve matchmaker scalability and operational efficiency
Reduce time-to-first-date by 20% or more
Establish robust QA/testing frameworks across SDLC
Enhance cross-team collaboration across distributed teams

Core System Enhancements

Rearchitected microservices-based platform for scalability
Streamlined user onboarding and matchmaker coordination
AI-enhanced matchmaking algorithm with preference analysis
Real-time communication tools for matchmakers and clients
Data analytics dashboard for process optimization

Technology Stack Requirements

JavaScript/TypeScript

Node.js

GraphQL

Cypress (Test Automation)

TestRail (QA Management)

System Integration Needs

Legacy monolithic system integration
Mobile companion app synchronization
Criminal record screening APIs
Video verification services

Operational Requirements

Horizontal scalability for growing user base
Sub-200ms response times for core matchmaking functions
Automated regression testing framework
WCAG 2.1 accessibility compliance
GraphQL API security hardening

Expected Business Outcomes

Anticipated 20% reduction in time-to-first-date, 30% increase in matchmaker capacity per FTE, 40% faster bug resolution cycles, and establishment of QA processes enabling 99.9% uptime SLAs for critical matchmaking workflows.