NetForemostNetForemost
Servicesexpand_moreTechnologiesexpand_moreResourcesexpand_more
Contact us
Homechevron_rightResourceschevron_rightCase studychevron_rightHow we reduced an Android app's crash rate by 33% and ANR rate by 69%

How we reduced an Android app's crash rate by 33% and ANR rate by 69%

A focused Android stability effort reduced the app’s user-perceived crash and ANR rates by 33% and 69%, respectively.

QA & releaseEngineering
Comparison table showing an Android app's ANR rate down from 0.84% to 0.26% (about 69% lower) and crash rate down from 0.54% to 0.36% (about 33% lower).auto_storiesCase study
calendar_todayAug 4, 2026schedule2 min readverifiedQA & releaseNFNetForemost · Marketing Site Team
Highlight69%Reduction in user-perceived ANR rate
Highlight33%Reduction in user-perceived crash rate
PlatformAndroid
Public store listing:1M+ downloads
Scope:Crash and ANR reduction
Focus:Mobile stability

On this page

  • Finding the highest-impact issues
  • The result
  • Why stability matters
listOn this page3 sectionsexpand_more
  • Finding the highest-impact issues
  • The result
  • Why stability matters

An Android app was recording user-perceived crash and ANR rates above its stability targets. NetForemost analyzed the main causes, prioritized the issues with the greatest user impact, and implemented targeted fixes that reduced both rates substantially.

Stability is part of the mobile user experience. Unexpected closures and Application Not Responding (ANR) events interrupt use, making crash and ANR rates important indicators of product reliability.

The goal was to find the main causes of those incidents and focus the work where it would have the greatest impact on users.

linkFinding the highest-impact issues

NetForemost analyzed the primary causes of instability in the application and prioritized the problems with the greatest user impact. The team then implemented targeted fixes for the most frequent crashes and optimized the app's behavior to reduce ANR events.

linkThe result

The user-perceived crash rate fell from 0.54% to 0.36%, a reduction of about 33%. The user-perceived ANR rate fell from 0.84% to 0.26%, a reduction of about 69%. Together, these improvements reduced interruptions during use and gave Android users a more stable experience.

linkWhy stability matters

See how NetForemost supports mobile software development

If your team needs the testing discipline behind this kind of result without building a QA function from scratch, explore our QA outsourcing service.

NF

NetForemost

Marketing Site Team

The team behind NetForemost's stories.

Keep reading

All resourcesarrow_forward
Diagram showing many AI-generated pull requests converging on a single review checkpoint, with a controlled flow of reviewed changes exiting on the right.edit_noteArticles

How to keep code review effective as your team ships more code with AI

As AI raises code volume, the bottleneck moves from writing code to reviewing it. Here is how engineering leaders keep review effective as throughput grows.

Engineering
calendar_todaySep 9, 2026schedule6 min readarrow_forward
Timeline showing QA checkpoints across all four delivery stages: discovery, planning, build, and releaseedit_noteArticles

How to evaluate QA testing services: a vendor selection guide

The criteria that separate real QA partners from checkpoint vendors, plus a scorecard to rate them, red flags to watch for, and the questions to ask before you sign.

QA & release
calendar_todayAug 27, 2026schedule9 min readarrow_forward
Dark card listing five checks for choosing a software development partner, ownership, verification, priorities, proof and pilot, with a magnifier inspecting one of them.edit_noteArticles

How to choose a software development partner: 5 checks before you sign

Five checks to separate real delivery capability from a polished sales pitch: what to ask, what evidence to request, and which red flags to notice.

AI-native deliveryDelivery visibilityEngineering
calendar_todayAug 6, 2026schedule6 min readarrow_forward

Ready to scope your software project?

Schedule discovery hours so we can turn your goals, stack, scope, and risks into a practical delivery plan.

eventContact us
NetForemostNetForemost

AI-native delivery teams for product design, software development, QA testing, and project management.

Services

AI-Native DevelopmentProduct DesignSoftware DevelopmentQA & TestingProject Management

Why us

More than developersClear delivery visibilityNearshore collaborationFlexible project support

Resources

All resourcesGuidesCase studiesPortfolio

Contact

Book a discovery callLinkedInCareers
© NetForemost 2026·PrivacyTermsSecurity