Seeking Guidance on Post-Launch Support and Maintenance for Mobile Apps

Hi everyone,
I’m currently developing a mobile application and am approaching the launch phase. While I’ve focused heavily on the development and testing aspects, I’m now considering the post-launch phase and realize I need a solid plan for ongoing support and maintenance. I’ve read that post-launch support is crucial for the app’s success, including regular updates, bug fixes, performance monitoring, and feature enhancements. However, I’m unsure about the best practices to implement these effectively. Could anyone share their experiences or recommend resources that focus on post-launch support and maintenance for mobile applications? Any tips on setting up monitoring tools, handling user feedback, and planning for future updates would be greatly appreciated.
Reference Links:
https://www.theengineeringprojects.com/2019/12/how-to-include-bootstrap-in-asp-net-core.html
https://forums.bignerdranch.com/t/do-mobile-app-development-companies-offer-post-launch-support-and-maintenance/24420

  1. Maintenance Plan
  • Hotfix Maintenance (0-3 Months): for bugs or crashes
  • Performance (3–6 months): for speed, crashes & optimize APIs
  • Feature Iteration (ongoing): use user data to plan iterative improvements

At Impero IT Services, for example, when we launched a travel app in Europe, 70% of our first 3 months were spent addressing real-world issues that were not caught during testing. manageable by structured triaging.

  1. Real-Time Monitoring Tools (implement before launch)
  • Crashlytics
  • Firebase Performance Monitoring
  • Sentry
  • Google Analytics / Mixpanel
  1. User Feedback
  • Set up in-app feedback form
  • Use app store reviews as a source of insight
  1. Schedule Updates
  • Monthly patch cycle
  • Quarterly feature updates
  • Emergency releases as needed
  1. Documentation and CI/CD
  • Maintain version documentation and a changelog
  • Implement CI/CD

Think long-term. We usually define 6-month and 12-month roadmaps collaboratively with our clients. This helps reduce churn and plan updates around real usage data instead of assumptions.

Good Luck…