UpDoer Technology
PRE-RELEASE TESTINGSTREAMING & GAMINGCOVERAGE-AS-A-SERVICE

Pre-Release QA for a Multiplayer Action Game

A team of 27 mobile-gaming testers ran exploratory, regression and performance testing on iOS and Android ahead of launch, surfacing performance, gameplay and UI/UX problems before players did.

SPECIALIST TESTERS ON THE ENGAGEMENT

27

The project

GAME
Multiplayer action game with unique character abilities
TEAM
27 testers selected for mobile-gaming expertise
PLATFORMS
iOS and Android, across a variety of devices
TESTING
Functional, performance and usability
STAGE
Before release

THE LOAD QUESTION

Thirty-three players, one session

Teams of up to 33 players can play together, so a key question was how the game behaves when every one of them joins at the same time.

33

Up to 33 players per session: the multiplayer scenario the testing had to cover.

METHOD

How the testing ran

  1. PHASE 1

    Choosing the team

    27 testers were selected for their expertise in mobile gaming and their eye for critical issues.

  2. PHASE 2

    Exploratory testing

    Wide-ranging play to find the high-level issues quickly.

  1. PHASE 3

    Regression and performance testing

    A deeper pass on the areas exploration pointed to, with attention on performance and functional behaviour.

  2. ALL PHASES

    Devices and operating systems

    A variety of iOS and Android devices, so findings reflect what players actually run.

FINDINGS

What the testing found

Lag, multiplayer behaviour and multi-location play stood out as the major themes.

  • Performance issues

    Frame-rate drops and stuttering hindered gameplay, especially on low-end devices.

  • Gameplay bugs

    Critical bugs affected character abilities and progression.

  • UI and UX issues

    Confusing menus and inconsistent navigation left players confused and frustrated.

OUTCOME

What the team handed over

The reported bugs and glitches were subsequently fixed by the development team.

  • Detailed bug reports

    Developers could reproduce and fix the critical gameplay issues.

  • Performance recommendations

    Guidance on optimising performance and addressing the frame-rate problems.

  • UI and UX recommendations

    Suggested improvements to the interface and the overall player experience.

  • Fixes prioritised

    The findings let the developers decide which bug fixes mattered most.

AI-DRIVEN QA

How AI-driven QA strengthens game testing

Where AI-assisted quality engineering adds reach to an expert tester team. Every AI suggestion is checked by a QA engineer before it affects a release.

  • Device-matrix prioritisation

    AI ranks devices and operating-system versions by risk, so low-end hardware is covered first.

  • Automated frame-rate and log analysis

    AI scans session telemetry for stutter and lag patterns that testers can then reproduce.

  • Multiplayer load scenarios

    Simulated sessions up to the full player count, with AI helping design join and drop patterns.

  • Visual and UI regression checks

    Computer-vision comparison flags broken menus and layouts after each build.

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