This is where the entire aspect of Performance testing both from an application perspective as well as the backend apis which are used comes to be picture. Before we roll out an app into the market, Performance testing plays a very crucial role and should cover the following tests 1. Stress Test 2. Load Test 3. Spike Test 4. Longevity Test IN order to achieve this, based on the business projection you decide the TPS per second required in all 4 categories. Use the best design principles and ensure that API calls are made in a way that it doesnt put load onto the app. Backend infra should be scalable say cloud infra. And lastly regression cycles has to be perfect.

Allow users to retry or complete transactions through other channels like web portals or physical branches and Provide a customer support chat or hotline in case of issues

1. Find out under what circumstances the app is slow to load. 2. Try to duplicate the problem in your controlled test world. 2. If you can duplicate the problem add diagnostic code to determine where the problem is. 3. If you cannot duplicate it use server logs to try to diagnose it. 4. Guessing at what the problem is can cost a lot of money and time. 5. Instead create new server log messages with transaction IDs and timestamps to ID the problem(s) so you can find exactly where the defect/bottleneck is.

To ensure a frustration-free user experience despite slow app loading during transactions, consider some of the following strategies: 1. Optimize backend processing and use caching to reduce response times. 2. Implement clear progress indicators to manage user expectations (Ex: your payment being processed successfully etc.). 3. Use asynchronous processing to prioritize critical tasks and defer non-essentials. 4. Provide real-time feedback with detailed status updates (Ex: payment is being validated) and retry options. 5. Streamline frontend performance by reducing heavy scripts and using lazy loading. 6. Scale infrastructure dynamically during peak usage to maintain app responsiveness. These measures augment the user satisfaction.

Here are 10 recommendations: 1- Optimize Backend Performance: Analyze and improve server response times by optimizing database queries, using caching, and implementing load balancers. 2- Implement Asynchronous Processing: Allow non-critical processes to run in the background, ensuring the transaction interface remains responsive. 3- Use Loading Indicators: Provide real-time feedback with loading animations or progress bars to inform users that the system is working. 4- Enable Transaction Status Updates: Keep users informed with updates, such as "Processing" or "Almost Done," to reduce uncertainty. 5- Employ Content Delivery Networks (CDNs): Distribute static content globally to ensure faster load times for users regardless of location.

Another 5 recommendations: 6- Optimize App Code: Refactor and streamline app code to minimize unnecessary computations and improve loading speed. 7- Leverage Data Compression: Reduce the size of transmitted data to speed up loading times, especially for mobile networks. 8- Prioritize Key Features: Load essential transaction components first while deferring non-critical features until after the main transaction is complete. 9- Conduct Stress Testing: Simulate high traffic scenarios to identify bottlenecks and ensure the app performs well under load. 10- Provide Offline Support: Allow users to perform basic actions offline and sync transactions automatically when the connection is restored.

To tackle slow app loading during transactions and enhance user experience, consider these targeted strategies: Asynchronous Processing: Use background processing for non-essential tasks, ensuring critical transaction processes aren’t delayed. Load Balancing: Distribute traffic across multiple servers to prevent overload and maintain consistent performance. Data Compression: Compress large files and data packets to reduce load times during transactions. Database Indexing: Optimize databases with indexing to speed up query responses during high-traffic periods. Performance Monitoring: Regularly monitor app performance with tools to identify and resolve bottlenecks proactively.

HERE ARE SOME USEFUL TECHNICAL GUIDELINES 1. Code optimization: Minify, compress, and optimize code for faster execution. 2. Image compression: Reduce image sizes without compromising quality. 3. Database optimization: Improve query performance and indexing. 4. Caching: Implement caching mechanisms (e.g., Redis, Memcached). 5. Content Delivery Network (CDN): Use CDNs to reduce latency.