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Develop and Enhance Virtual Analyst Platform with UI/UX Improvements and Beta Feedback Integration
  1. case
  2. Develop and Enhance Virtual Analyst Platform with UI/UX Improvements and Beta Feedback Integration

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Develop and Enhance Virtual Analyst Platform with UI/UX Improvements and Beta Feedback Integration

sigma.software
Information technology
Advertising & marketing
Business services

Challenges with Initial Prototype & Beta Feedback

While the initial prototype successfully validated the core concept of Virtual Analyst and garnered positive feedback, there's a need to refine the UI/UX based on user feedback, improve the overall user experience, and prepare for a wider rollout following the release of the beta version. There is also a need to ensure the platform remains flexible to accommodate evolving Google Analytics features.

About the Client

A web analytics SaaS startup providing a 'Virtual Analyst' tool to help SMEs derive actionable insights from Google Analytics data and predict business impact.

Project Objectives

  • Enhance the UI/UX of the Virtual Analyst platform based on beta user feedback.
  • Improve the usability and intuitiveness of the platform for users with varying levels of web analytics expertise.
  • Address identified bugs and performance issues reported during beta testing.
  • Ensure the platform is scalable to accommodate a growing user base.
  • Incorporate new features and functionalities to enhance the value proposition of Virtual Analyst.
  • Prepare for a full-scale product launch.

Functional Requirements

  • Data ingestion and processing from Google Analytics.
  • Automated data analysis and trend identification.
  • Predictive modeling of business impact based on data trends.
  • Customizable dashboards and reporting.
  • User-friendly interface for accessing insights.
  • Alerting and notification system for key performance indicators.
  • User authentication and authorization.

Preferred Technologies

Google Analytics API
Modern JavaScript Framework (React, Angular, or Vue.js)
Backend Framework (Node.js, Python/Django/Flask)
Cloud Platform (AWS, Azure, or GCP)

Integrations Required

  • Google Analytics API
  • Potential CRM or marketing automation platforms (future consideration)

Key Non-Functional Requirements

  • Scalability to handle increasing data volume and user traffic.
  • High performance and responsiveness.
  • Security to protect user data.
  • Reliability and availability.
  • Maintainability and extensibility.
  • Accessibility (WCAG compliance).

Expected Business Impact

This project will enable Needl Analytics to release a polished and user-friendly product, leading to increased user adoption, improved customer satisfaction, and enhanced potential for attracting investment. By addressing beta feedback and incorporating new features, the platform will solidify its position as a leading web analytics solution for SMEs.

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