Speaker
Description
As the Belle II dataset grows towards a high luminosity scenario, the requirements for the distributed computing framework have grown in complexity and scale. To ensure long-term software maintainability, the Belle II Distributed Computing team is implementing a feedback-driven development model. This approach bridges the gap between the end-user experience and system evolution, aiming for more frequent engagement and rapid development cycles supported with continuous integration pipelines. Central to this strategy is a computing users forum, which acts as a dynamic feedback loop where users can request assistance and contribute ideas for new features. A recent comprehensive user survey revealed a high baseline of satisfaction with both current operations and the responsiveness of the team.
We present the overview of our most recent feedback survey, including a sample of the most interesting requests from users, and a summary of our development work to address their evolving needs. In response to the continuous feedback, we have prioritized targeted developments to enhance user autonomy, like diagnostic tools that automatically capture errors and tracebacks, and provide AI-powered smart troubleshooting. By presenting these results, we demonstrate how a user-centric feedback loop reduces maintenance overhead and fosters a resilient distributed computing environment for the future of Belle II.