Case Study
Standard Insights
AI-Powered Survey Builder & Analytics Platform
A multi-tenant SaaS platform for collecting and analyzing customer feedback, enabling businesses to make data-driven decisions.
Tech Stack
Next.jsNode.jsMongoDBAWSAI AgentsRAG SystemsOpenAIDockerRailwayChart.jsCI/CDSystem DesignSystem OptimizationSystem Performance
Key Features
- Developed a multi-tenant SaaS platform for collecting and analyzing customer feedback, enabling businesses to make data-driven decisions.
- Designed and implemented AI-driven features, including agents and RAG-based systems (OpenAI, Claude) to automate insights and data processing.
- Built a scalable backend architecture with Redis, BullMQ, and worker queues, handling high-volume background jobs and asynchronous processing.
- Developed a dynamic survey builder system with real-time data visualization and analytics dashboards.
- Engineered a complete admin panel and role-based access system for platform management.
- Designed and optimized REST APIs and database queries, significantly improving performance and reducing response times.
Challenges
- Handling multi-tenant architecture and data isolation.
- Designing a user-friendly interface for survey management.
- Optimizing backend performance for high-volume data processing.
- Ensuring cross-browser compatibility and feature parity.
Learnings
- The importance of offline-first design in SaaS platforms.
- The challenges of building a multi-tenant platform.
- The importance of AI integration in SaaS platforms.
- The importance of performance optimization in SaaS platforms.
- The importance of security in SaaS platforms.