GCS Analytics Platform: BI Dashboard Redesign at DIRECTV, the Design Strategy Process

DIRECTV Product Strategy

Discovery & Research:

This structured approach ensured a user-friendly, scalable, and high-impact BI dashboard aligned with DIRECTV’s business goals

• Understanding Business Needs: Aligned with DIRECTV’s goal of becoming more data-driven by identifying inefficiencies in existing BI dashboards.

• User Research: Conducted interviews with 20+ internal users (marketing, operations, finance) to identify pain points, usability issues, and key insights.

• Competitive Analysis: Evaluated best practices in BI dashboards (e.g., Microstrategy) to identify trends in data visualization and user interactions.

• Ideation:

Coming up with concepts and gathering user feedback.

Defining the Redesign Vision:

Defining the Redesign Vision

• Strategic Objectives: Focused on improving usability, navigation, and data visualization to enhance decision-making.

• User Personas & Workflows: Mapped out how different teams (marketing, finance, operations) interacted with BI dashboards.

Concept Development & Ideation

• Information Architecture: Restructured dashboard layouts for clarity and efficiency.

• Wireframing & Prototyping: Created initial wireframes in Figma, refining layouts and data presentation.

• Stakeholder Reviews: Collected feedback from business leaders and data teams to align on priorities.

Iterative Design & Testing

• Interactive Prototypes: Built high-fidelity prototypes for user testing.

• User Feedback Loops: Integrated user insights to refine UI/UX components iteratively.

• A/B Testing: Tested different data visualizations and dashboard layouts to determine the most effective approach.

Engineering Collaboration & Implementation

• Design Handoff: Worked closely with data engineers and developers to ensure seamless implementation.

• Scalability Considerations: Ensured dashboards could handle large datasets without performance issues.

• Customization Features: Introduced personalized dashboard settings to cater to different team needs.

Launch & Optimization

• User Training & Adoption: Conducted training sessions to ensure a smooth transition to the new BI dashboards.

• Post-Launch Analysis: Monitored engagement metrics (e.g., dashboard usage, task completion time).

• Ongoing Iteration: Used collected data to drive further optimizations and future enhancements.