Overview

As part of AT&T's consolidation of its TV offerings under DirecTV, I redesigned the channel lineup selection flow into a unified, mobile-first experience. The work established foundational patterns that directly informed the full redesign of DirecTV Self-Care.

Overview

As Lead UX/UI Designer, I shaped the interaction model, navigation, content hierarchy, merchandising patterns, plan-selection flows, and cross-sell experiences. The project also explored tablet-optimized viewing and data-free streaming, helping define how AT&T and DirecTV could deliver entertainment across screens as the company moved toward products such as DIRECTV NOW.

Project Snapshot

  • Role: Lead Product Designer

  • Team: Product, engineering, content, design, and business stakeholder

  • Platforms: Web, mobile, and tablet

Opportunity

Customers shopping for TV packages needed to evaluate channels, confirm their favorites were included, and compare services before committing. The existing experience made none of that easy. Research revealed that users struggled to surface the channels they cared about and had no clear way to compare options, creating friction at the most critical point in the purchase decision.

The channel lineup experience was originally built only for desktop. On mobile, navigating dense, unresponsive layouts made scrolling nearly impossible, information hierarchy was inconsistent, and content was difficult to parse, breaking down at the screen size where users needed it most.

Previous version

Merch One unified independently built micro-apps into a single seamless product experience, held together by a shared LDM design system. Delivered across two phases, the platform evolved from a consolidated navigation to a full redesign with a personalized dashboard, a top nav for tool switching, and a dedicated in-tool navigation for deeper workflows.

Solution

I simplified the entry into the channel lineup flow by progressively narrowing the experience based on location and service type, reducing the amount of content users had to process at once. From there, sorting, filtering, and favoriting gave users the control to compare channels across packages on their own terms. These tools were directly informed by user interviews, where it became clear that users needed a faster, more personal way to evaluate whether a package was worth it before making a decision.

Outcome

Higher Engagement
  • 85% of merchants actioning at least one opportunity per week
  • 3x increase in platform adoption within the first two quarters
  • 10 user types onboarded across the merchandising org
Faster Decision-Making
  • Root cause analysis reduced from 3+ hours to under 30 minutes
  • Tool-switching reduced from 6+ tools to a single unified experience
  • 40% reduction in time-to-decision on in-season issues
Fewer Errors
  • 60% reduction in manual data pulls per merchant per week
  • Opportunities surfaced with data-backed recommendations, reducing reliance on gut-feel decisions
  • Real-time platform health visibility for the first time
Easier Maintenance
  • 150+ metrics supported across a single shared design system
  • Independent remote deployments reduced cross-team bottlenecks by 50%
  • Component libraries adopted across 10+ product teams, ensuring consistency at scale
Higher Engagement
  • 85% of merchants actioning at least one opportunity per week
  • 3x increase in platform adoption within the first two quarters
  • 10 user types onboarded across the merchandising org
Faster Decision-Making
  • Root cause analysis reduced from 3+ hours to under 30 minutes
  • Tool-switching reduced from 6+ tools to a single unified experience
  • 40% reduction in time-to-decision on in-season issues
Fewer Errors
  • 60% reduction in manual data pulls per merchant per week
  • Opportunities surfaced with data-backed recommendations, reducing reliance on gut-feel decisions
  • Real-time platform health visibility for the first time
Easier Maintenance
  • 150+ metrics supported across a single shared design system
  • Independent remote deployments reduced cross-team bottlenecks by 50%
  • Component libraries adopted across 10+ product teams, ensuring consistency at scale