Introduction

To support a growing web application, I developed a custom admin dashboard that gave the internal team full control over operations—from managing users and requests to adjusting pricing and monitoring live chats—all within a secure, scalable interface.


Objective

  • Build a centralized admin platform for internal teams to manage users, content, pricing and chats.
  • Provide real-time visibility and control over backend operations.
  • Enable non-technical staff to perform CRUD operations without developer support.
  • Improve internal efficiency by automating repetitive admin tasks.
  • Support secure, role-based access and scalability for future features.
  • Run data-driven A/B tests to optimize user onboarding and engagement.

Methodology

Web Application Development:

  1. Built using Django, leveraging its built-in admin structure but significantly customizing it with full CRUD functionality, dynamic dashboards, and workflow tools.
  2. Implemented secure user authentication (using django.contrib.auth and custom permissions) to restrict access based on admin roles.

Core Features Developed:

  1. Request Management System: Admins could approve or reject user-generated requests with audit trails.
  2. Pricing Control Panel: Dynamic modules allowed real-time updates to product/service pricing across the app.
  3. Chat Monitoring: Built a message log viewer for support team leads to monitor user-agent interactions.
  4. Real-time Analytics: Included widgets to track user signups, active sessions, and service usage via graphs built using Chart.js.

Backend Integration:

  1. Connected the dashboard to the main app and an external PostgreSQL database using custom REST APIs (built with Django REST Framework).
  2. Ensured asynchronous data sync using Celery + Redis for background tasks like periodic report generation.

A/B Testing & Statistical Analysis:

  1. Ran UI/UX tests on different onboarding flows for new users.
  2. Used Python (SciPy, Statsmodels) to perform Z-tests and validate engagement differences between control and test groups.
  3. Found statistically significant improvements in onboarding experience, resulting in a 30% increase in early user engagement.

Documentation & Collaboration:

  1. Created clear technical documentation of backend structure, API endpoints and integration processes.
  2. Shared workflows and deployment guidelines with the dev team to support seamless future updates.

Result

  1. Delivered a secure, fully functional admin dashboard that reduced dependency for backend tasks.
  2. Enabled the team to make real-time business decisions and manage operations without coding intervention.
  3. The A/B testing insights directly contributed to a 30% rise in new user engagement, showing how backend tools can also influence frontend success.

Summary

  • Tools Python

Mockup Dashboard is coming soon....