Analytics Dashboard

Real-time analytics platform with custom metrics, event tracking, visualizations, funnel analysis, cohort segmentation, and automated reporting.

Real-Time EventsCustom DashboardsFunnel Analysis

1M+

Events/Second

Real-Time

Data Processing

Cohort

Analysis

Scope Overview

A comprehensive analytics platform for tracking, visualizing, and analyzing user behavior and business metrics in real-time.

Must Have

Event tracking SDK for web and mobile
Custom metrics and KPI definitions
Real-time dashboards with drill-down
Time-series charts and visualizations
Funnel analysis with conversion tracking
User segmentation and cohort analysis
Automated report scheduling
Query builder for custom analytics

Nice to Have

A/B test result tracking
Anomaly detection with alerts
Data export to CSV/Excel
Embedded analytics for customers
Retention and churn analysis
Attribution modeling

Three-Tier Architecture

Scalable architecture designed for high-throughput event ingestion and real-time analytics processing.

Frontend Layer

React dashboards with Recharts/Chart.js
Event tracking SDK (web/mobile)
Query builder UI
Real-time data updates via WebSocket

API Layer

Node.js/Express REST API
Event ingestion endpoint (high throughput)
Query API for custom analytics
Real-time aggregation engine

Storage Layer

ClickHouse (OLAP for time-series)
Redis (real-time counters)
PostgreSQL (metadata, dashboards, users)
S3 (data exports, raw event logs)

Core Concepts: Metrics & Events

Flexible event tracking model that supports custom metrics, properties, and user traits for comprehensive analytics.

Events

Track user actions like clicks, pageviews, form submissions, and custom events

Examples:

button_clickedpage_viewedform_submittedvideo_played

Metrics

Define custom KPIs calculated from events or database queries

Examples:

Daily Active UsersRevenue per UserConversion RateChurn Rate

Properties

Attach contextual data to events for filtering and segmentation

Examples:

user_iddevice_typeplan_tierutm_sourcecountry

User Traits

Store user-level attributes for cohort analysis and personalization

Examples:

signup_dateplan_typecompany_sizeindustrylifetime_value

Database Schema

Hybrid database architecture using ClickHouse for high-volume events and PostgreSQL for metadata and configuration.

eventsClickHouse

High-volume event storage optimized for time-series queries

event_id (UUID)

event_name (String)

user_id (String)

timestamp (DateTime)

properties (JSON)

session_id (String)

device_type (String)

metricsPostgreSQL

Custom metric definitions and calculation rules

metric_id (UUID, PK)

name (VARCHAR)

description (TEXT)

calculation_type (ENUM: count, sum, avg, unique)

event_filter (JSON)

created_at (TIMESTAMP)

dashboardsPostgreSQL

User-created dashboard configurations and layouts

dashboard_id (UUID, PK)

name (VARCHAR)

user_id (UUID, FK)

layout (JSON)

widgets (JSON[])

is_public (BOOLEAN)

usersPostgreSQL

User profiles with trait data for segmentation

user_id (UUID, PK)

email (VARCHAR)

traits (JSON)

first_seen (TIMESTAMP)

last_seen (TIMESTAMP)

total_events (INT)

funnelsPostgreSQL

Funnel definitions with step configurations

funnel_id (UUID, PK)

name (VARCHAR)

steps (JSON[])

conversion_window_hours (INT)

created_by (UUID)

Data Visualizations

Rich library of chart types and visualizations powered by Recharts for creating insightful dashboards.

Time Series

Line and area charts for tracking metrics over time

Common Use Cases:

Daily active users
Revenue trends
Event volumes
Conversion rates

Bar Charts

Compare metrics across categories or segments

Common Use Cases:

Top pages
Device breakdown
Feature usage
Geographic distribution

Pie/Donut

Show proportional breakdown of categorical data

Common Use Cases:

Traffic sources
Plan distribution
Browser share
User segments

Tables

Detailed tabular data with sorting and filtering

Common Use Cases:

User lists
Event logs
Top performers
Cohort tables

Funnel Analysis

Track multi-step conversion flows to identify drop-off points and optimize user journeys.

Funnel Calculation Process

Define Steps

Specify sequence of events (e.g., signup → onboarding → purchase)

Set Window

Define time window for conversion (e.g., 7 days)

Apply Filters

Filter by user properties or event attributes

Calculate

Query ClickHouse for user paths matching the funnel

Visualize

Display conversion rates and drop-off points

Example Funnel:

Landing Page ViewSign Up StartedEmail VerifiedFirst Purchase

Conversion Rate: 100% → 45% → 32% → 18% (Overall: 18%)

Segmentation & Cohorts

Powerful segmentation engine for analyzing user groups and tracking cohort behavior over time.

User Segments

Group users by traits or behavior patterns

Power Users (>50 events/week)

At-Risk Users (no activity in 7 days)

Enterprise Customers (plan_tier = 'enterprise')

Mobile-First Users (80%+ mobile events)

Cohort Analysis

Track user groups over time by signup date or first action

Week 1: Retention by signup cohort

Month-over-month feature adoption

Lifetime value by acquisition channel

Churn rate by plan type

REST API Endpoints

Comprehensive API for event ingestion, querying, and dashboard management with authentication and rate limiting.

Method	Endpoint	Description
POST	`/api/events`	Ingest a single event or batch of events
POST	`/api/users/identify`	Set or update user traits
POST	`/api/metrics`	Define a new custom metric
GET	`/api/metrics/:id/query`	Query metric data with filters and date range
GET	`/api/dashboards`	List all dashboards for current user
POST	`/api/dashboards`	Create new dashboard with widget configuration
GET	`/api/funnels/:id/analyze`	Calculate funnel conversion rates
GET	`/api/segments/:id/users`	Get users matching segment criteria
GET	`/api/cohorts/:id/retention`	Calculate retention for cohort
POST	`/api/reports/schedule`	Schedule automated report delivery

React UI Pages

Complete set of dashboard pages for visualization, exploration, funnel analysis, and administration.

Dashboard Overview

Customizable dashboard with drag-and-drop widgets showing key metrics and charts

Widget library (charts, tables, numbers)
Real-time data updates
Custom date ranges
Export to PDF/PNG

Explore & Query

Interactive query builder for ad-hoc analysis and custom reports

Event selection dropdown
Property filters
Aggregation functions
Save as custom metric

Funnel Builder

Visual funnel creator with step configuration and conversion tracking

Drag-and-drop steps
Conversion window settings
Breakdown by properties
Compare time periods

Admin Settings

Manage metrics, dashboards, team access, and data retention policies

Metric library
User permissions
API keys
Data retention rules

Production Benefits & Done Criteria

A production-ready analytics platform that empowers data-driven decision making with comprehensive tracking and visualization.

Key Benefits

Real-time event ingestion processing 1M+ events per second
Custom metrics with flexible calculation rules
Interactive dashboards with drill-down capabilities
Funnel analysis with conversion tracking
Cohort and segmentation analysis
Automated report scheduling and delivery
Scalable ClickHouse storage for time-series data
SDK integrated for web and mobile tracking

Definition of Done

Event tracking SDK deployed and tested
All REST endpoints functional with auth
ClickHouse and Redis properly configured
Dashboard UI with at least 5 chart types
Funnel and cohort analysis working
Query builder for custom analytics
Automated reports scheduling
Performance tested at scale

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