Redesign of an AI-backed game testing Platform
AI-powered QA testing platform that automates game testing using AI bots—replacing manual scripting with real-time bug detection, scenario generation, and actionable insights.
Disclaimer: All data presented in these case studies has been generated for illustrative purposes only and does not represent actual company data.
Company
PlayTest AI
Role
Founding Product Designer
Timeline
2024
Responsibilities
Impact tldr;
Increased product interaction by 55%
Boosted feature interaction by 41%
Onboarded 8 new clients post re-design
Overview
The original dashboard was built by the CTO, not a designer—and it showed. 80–90% of users dropped off within minutes, users barely engaged meaningfully, and QA teams needed constant hand-holding just to use the product.
Context
PlayTest AI is an AI-powered QA testing platform that automates game testing using AI bots. As the founding product designer, I led a full redesign in 8 weeks: simplifying the information architecture, building a cohesive design system, and introducing AI Scenario Generation—letting users automate test cases without any manual scripting.
The Problem
The existing dashboard suffered from a confusing information architecture that didn't match real user workflows. Users struggled to navigate between test configurations, results, and AI-generated scenarios—leading to massive drop-off rates and poor feature adoption.
The platform needed to transform from a developer-built tool into a truly self-serve product that QA teams could use independently.
A detailed walkthrough of the design process, decisions, and outcomes is available in the full case study.
See detailed case study here