Web AppUI/UX DesignSaaS

Case Study 05 — DataPulse Dashboard

5,000 Users
Love Using Data
Every Day

How MadTech designed and built DataPulse — a SaaS analytics dashboard that turned a complex data product into an intuitive tool loved by 5,000 active users.

5K+
Active Users
4.8★
User Rating
8mo
Build Time

Making Complex Data Effortlessly Simple

DataPulse started as a powerful backend analytics engine — but it had no face. The founders had built something genuinely impressive, but their early users were churning because the interface was too complex, too slow, and too overwhelming to use daily.

MadTech's mission: design and build a world-class dashboard UI from scratch, scale it to handle millions of data points in real time, and ship it in 8 months from first wireframe to live product.

Client
DataPulse (SaaS Startup)
Industry
Analytics / SaaS / B2B
Services
UI/UX Design · React Dev · Node.js Backend · DevOps
Timeline
8 Months (Jan – Aug 2024)
Tech Stack
React · Node.js · PostgreSQL · AWS · D3.js

The Challenge

A product with real power hidden behind an unusable interface — leading to frustration, high churn, and a support team drowning in "how do I..." tickets.

  • 38% 30-day churn rate — users giving up on the product
  • Dashboard took 12+ seconds to load with real data
  • No mobile responsiveness — unusable on phones/tablets
  • Users needed 3+ hours of onboarding to understand the tool
  • No design system — UI was inconsistent across all screens

Our Solution

We rebuilt the entire product from the UI down — a new design system, a re-architected React frontend with virtualised rendering, and an API optimisation that cut load times by 91%.

  • Full design system — 120+ components in Figma
  • React + D3.js with virtualised chart rendering
  • API query optimisation — 12s load → sub-1s
  • Guided onboarding flow — 8 steps to first insight
  • Mobile-first responsive design across all screens

The Outcome

A Product Users Actually Love

0
Active Users
up from 340 at launch
0
Churn Reduction
from 38% to 6%
0
Faster Load Time
12s → under 1 second
0
App Store Rating
G2 & Product Hunt

Technical Architecture

Built to Scale

⚛️
React Frontend
Component-driven architecture with virtualised rendering for massive datasets. 120-component design system ensuring perfect UI consistency.
React · TypeScript · Zustand · Framer Motion
🔧
Node.js API Layer
RESTful + GraphQL hybrid API with query batching, Redis caching, and WebSocket connections for real-time data streams.
Node.js · GraphQL · Redis · WebSockets
📊
Data Visualisation
Custom D3.js chart library with 24 chart types, canvas rendering for 100K+ data points, and interactive drill-down capabilities.
D3.js · Canvas API · PostgreSQL
☁️
AWS Infrastructure
Auto-scaling ECS containers, RDS PostgreSQL with read replicas, CloudFront CDN, and CI/CD pipeline with zero-downtime deploys.
AWS ECS · RDS · CloudFront · GitHub Actions
🔐
Auth & Security
Multi-tenant architecture with role-based access control, SSO integration (Google/Okta), and SOC 2 compliant data handling.
JWT · OAuth 2.0 · Row-Level Security
📱
Mobile Experience
Fully responsive down to 320px. Progressive Web App with offline capabilities and push notifications for alert management.
PWA · Service Workers · Push API

How We Built It

The Engineering Journey

01

UX Research & Information Architecture

Ran 20 user interviews and 6 moderated usability sessions. Mapped every user journey, identified the 5 core "jobs to be done", and restructured the IA around how analysts actually think — not how the data is stored.

User ResearchJourney MappingInformation Architecture
02

Design System & Prototype

Built a 120-component design system in Figma covering every state, interaction, and breakpoint. Full interactive prototype tested with 40 users before a single line of production code was written.

FigmaDesign TokensPrototype Testing
03

Frontend Engineering

Rebuilt the entire frontend in React with TypeScript. Implemented virtualised list rendering and WebGL-accelerated chart rendering to handle 100,000+ data points without performance degradation.

ReactTypeScriptD3.jsWebGL
04

API Optimisation & Infrastructure

Profiled and rewrote the 12 most expensive database queries, implemented Redis caching for frequently-accessed views, and deployed on auto-scaling AWS ECS — reducing load times from 12s to under 1s.

PostgreSQLRedisAWS ECSQuery Optimisation
05

Onboarding & Growth

Designed a guided 8-step onboarding flow with contextual tooltips and sample data. New users reached their first "aha moment" in under 4 minutes — driving a 32% increase in day-7 retention.

OnboardingProduct AnalyticsRetention
DataPulse Dashboard
Analytics View
Mobile View
Chart Components

"MadTech didn't just build us a UI — they fundamentally understood our product and our users better than we did after six months of building. The result is something we're genuinely proud to demo. Churn dropped, NPS jumped, and we just closed our Series A citing product quality."

DP
Arjun Verma
Co-Founder & CEO, DataPulse
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