NetForemostNetForemost
Why usServicesexpand_moreTechnologiesexpand_moreResourcesexpand_more
Log inContact 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
A payment card connected by a broken, dashed line to a ringing alert bell, representing a failed card payment caught by a monitoring alert.auto_storiesCase study

How we restored card subscription billing and added failed-payment alerts

A subscription platform went more than two years without collecting card payments, because nothing flagged the failure. Here is how we restored billing and added alerts that catch it in minutes.

Engineering
calendar_todayOct 23, 2026schedule3 min readarrow_forward
Grid of uniform product ratings on a dark background, with a few highlighted outliers corrected back toward the norm, representing a continuous evaluation and QA loop.auto_storiesCase study

Making an AI product reliable enough to ship: a QA and evaluation case

Generating AI ratings was the easy part. Making them reliable enough to ship took a continuous evaluation and QA loop, validated with real users before launch.

QA & releaseEngineering
calendar_todayOct 16, 2026schedule4 min readarrow_forward
Many identical candidate cards arranged in a grid on the left, with an arrow pointing to one highlighted and approved candidate card on the right, on a dark backgroundedit_noteArticles

What AI changed about how we evaluate engineers

A founder's account of how five years of AI changed what NetForemost looks for in an engineer, from output to judgment, and why that shift moves the whole delivery bottleneck.

EngineeringAI-native delivery
calendar_todayOct 15, 2026schedule4 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

Engagement models

Staff AugmentationSoftware OutsourcingDedicated Team

Why us

More than developersClear delivery visibilityNearshore collaborationFlexible project support

Resources

All resourcesGuidesCase studiesPortfolio

Contact

Book a discovery callLinkedInCareers
© NetForemost 2026·PrivacyTermsSecurity