// build_guide
// How to build Fintech Customer Support Ticket Management System with SLA & CSAT Tracking
PostgreSQL is chosen for its robust relational integrity needed for SLA audit trails and CSAT records — critical in a fintech compliance context. Redis + Socket.io enables real-time ticket status updates without expensive infrastructure. Auth0 provides enterprise-grade RBAC out of the box, saving weeks of custom auth development for a team augmentation scenario where speed matters.
Complexity 6/10Internal Tool
// recommended_stack
FrontendReact.js with Tailwind CSS
BackendNode.js with Express.js
DatabasePostgreSQL (primary) + Redis (real-time queuing & caching)
AuthAuth0 or Firebase Auth with role-based access control
HostingAWS EC2 / Railway.app with managed RDS PostgreSQL
ExtraSocket.io for real-time ticket updates
ExtraBull.js for escalation job queues
ExtraSendGrid for email notifications
ExtraTwilio SMS for critical escalation alerts
// cost_and_timeline
USD min
$5,000
USD max
$11,000
INR min
₹4.2L
INR max
₹9.2L
Typical Internal Tool projects cost $1,500–$4,500 USD and take 4–8 weeks with an Indian dev team. See the full cost guide →
// timeline_breakdown
1 weekDiscovery & Design
1.5 weeksAuth, Roles & Ticket Core CRUD
1.5 weeksSLA Engine & Escalation Logic
1 weekReal-time Dashboard & WebSockets
1 weekCSAT Flow & Notifications
1 weekAdmin Reporting & QA
0.5 weeksUAT, Bug Fixes & Deployment
// mvp_features[]
## What to build in the MVP
-Agent and admin login with role-based access control (Admin, L1 Agent, L2 Agent, Supervisor)
-Ticket creation with category tagging (billing, KYC, payments, fraud, general)
-SLA policy configuration per ticket category (response time & resolution time)
-Real-time SLA countdown timers visible on ticket dashboard
-Automated escalation triggers when SLA breach is imminent (configurable thresholds)
-Email + SMS notifications for escalation events
-Ticket status workflow (Open → In Progress → Waiting on Customer → Resolved → Closed)
-Internal agent notes and audit log per ticket
-Post-resolution CSAT survey sent to customer via email (1-5 star rating + optional comment)
-Admin dashboard with key metrics: open tickets, SLA breach rate, avg resolution time, CSAT score
-Real-time ticket queue view with live updates via WebSockets
-Basic reporting: daily/weekly ticket volume, SLA compliance %, CSAT trends
// risk_flags[]
## Engineering risks to plan for
!SLA engine complexity is frequently underestimated — business hours-only SLA calculations (excluding weekends and Indian public holidays) add non-trivial logic and must be scoped clearly before development begins
!Fintech regulatory context may require a complete audit log of all ticket actions for RBI compliance; ensure immutable logging is built in from day one, not retrofitted later
!ASAP timeline with an 'early' budget creates a scope-time conflict — the escalation and real-time features together add meaningful complexity; a phased launch (SLA tracking first, CSAT in phase 2) is strongly recommended
!Team augmentation model means onboarding ramp-up of 3–5 days is unavoidable; existing internal codebase standards and deployment pipelines must be documented and shared upfront to avoid delays
!Real-time WebSocket connections at scale require proper connection management — while user scale is small now, ensure Redis pub/sub is used from the start to avoid a painful refactor if the support team grows
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// related_resources