Users are pushing for performance-compromising features. How do you maintain app integrity?

Maintaining app integrity while addressing user demands is essential. I focus on a clear product vision, ensuring new features align with core goals. I gather user feedback through surveys and analytics, evaluating requests to maintain productivity. Before implementing features, I assess their impact on performance and conduct prototypes or A/B tests. I use tools like Google Analytics to monitor performance and optimize code as needed. I balance user requests with app quality, communicate transparently about feasibility, and use agile methods for iterative development. Addressing technical debt and planning for scalability are also key.

When users push for performance-compromising features, start by evaluating the potential impact on the app's integrity. Communicate the risks clearly to users, explaining how these features could degrade performance or user experience. Offer alternative solutions that meet users' needs without sacrificing performance. If necessary, prioritize app stability and performance over implementing the requested features. Engage in ongoing dialogue with users to find a balanced approach that maintains app integrity while addressing their concerns.

To maintain app integrity while addressing performance-compromising features, I prioritize a balanced approach. This involves thorough performance testing and profiling to identify and mitigate bottlenecks. I implement feature flags to enable controlled rollouts and gather real-world feedback. Additionally, I adhere to best practices in code optimization and leverage scalable architecture to ensure robust performance while accommodating user demands. This approach safeguards app integrity without sacrificing user experience.

Balancing user demands with app performance is a critical task. My approach starts with understanding user needs through surveys and feedback, prioritizing features that align with our app’s core goals. I then assess the performance impact of each requested feature and explore ways to optimize them to minimize drawbacks. Features are implemented in phases or as optional to monitor their impact and gather feedback. Clear communication about potential performance implications helps manage user expectations. This method ensures we address user demands while maintaining app integrity.

Defining which performance metrics to measure in your application is the first step. The common ones are App load time, App size on disk, App first render, Memory Usage on first idle, CLS, FID, Page Load Time (for each screens). Once you build your first version, keep all the metrics as baseline. Configure CI/CD to measure all these parameters during E2E run in the pipeline. Ensure consistent Gitlab runner instance. For eg. If 4g instance is used, we should always use 4g instance. Setup alert on when any metrics above crosses a threshold. For eg. Baseline memory usage is 250MB, whenever there's check-in that increase memory by more than 10%, fail the CI and send alert. In addition to CI/CD, you can also include Real-time User Metrics.