Industry

UX Designer

Client

ABC's American Idol

Live Voting Experience Design

Main Project Image
Main Project Image
Main Project Image

Designing Real-Time Engagement for Live Television

American Idol is one of the most-watched live television programs in the U.S., with millions of viewers participating in voting during narrow live windows. Voting is a critical engagement moment, both emotionally for fans and operationally for the business. This project focused on improving the clarity, reliability, and accessibility of the live voting experience while ensuring the system could scale under peak traffic and time-sensitive constraints.

The Problem

Live voting occurs within narrow, high-pressure windows where millions of viewers must act quickly and confidently. Any friction, delay, or ambiguity risks lost engagement, repeated actions, or erosion of trust in the outcome.

The existing experience made it difficult for viewers to understand when and how to vote, feel confident their vote was submitted, and recover gracefully from errors during peak traffic.

For the business, these issues risked lost engagement during critical live moments, increased support burden, and reduced trust in the voting process.

Goal

  • Improve clarity and confidence during live voting windows

  • Reduce friction and failure points under peak load

  • Design a scalable voting system that supports future seasons and formats

  • Ensure accessibility across devices, audiences, and contexts

Approach

I approached this project by designing for high-stakes, time-bound interactions, where clarity, speed, and trust mattered more than feature depth.

Working closely with product, engineering, and broadcast stakeholders, I focused on understanding how live voting intersected with:

  • Show timing and broadcast cues

  • Peak traffic and system constraints

  • Viewer expectations during real-time participation

Key steps in the approach included:

  • Mapping the end-to-end voting journey from intent to confirmation

  • Identifying friction points caused by ambiguity, latency, or unclear system feedback

  • Prioritizing states, messaging, and feedback that reduced uncertainty during live moments

The goal was to help users act quickly and confidently without second-guessing whether their vote counted.

Solution

The redesigned voting experience focused on reducing ambiguity and reinforcing trust at every step of the flow.

Key improvements included:
  • A simplified, linear voting flow that clearly communicated eligibility, timing, and progress

  • Strong visual and system feedback to confirm vote submission in real time

  • Clear handling of loading, errors, and edge cases during peak traffic moments

  • A consistent interaction model that aligned with live show pacing and user expectations

The result was a more resilient, confidence-driven voting experience that helped viewers move from intent to confirmation with minimal friction—while supporting the scale and reliability required for live television.


Key Design Decisions

Clarity over cleverness
Voting flows were designed to be unmistakable, removing unnecessary steps or ambiguity during high-pressure moments.

Confidence through feedback
Immediate visual confirmation reassured users that their vote was counted, reducing repeat actions and frustration.

Designed for peak load
UI patterns accounted for latency, retries, and system delays without breaking trust or flow.

Scalable by default
The experience was built to support future seasons, rule changes, and voting mechanisms without rework.

Impact

This work helped strengthen one of American Idol’s most critical engagement moments by improving both user confidence and system resilience.

The redesigned experience:

  • Reduced friction during live voting windows

  • Increased clarity around vote submission and timing

  • Improved trust in the fairness and reliability of the process

  • Established scalable patterns for future seasons and formats

The redesigned flow reduced ambiguity during live voting windows, helping viewers move from intent to confirmation with fewer retries and clearer feedback.