In today's digital landscape, rapid feedback is essential for innovation. By leveraging data-driven techniques, companies can enhance product experimentation and accelerate feedback loops. At Atlassian we moved from long running projects to quick iterations which helped make impactful changes to business in a very short period of time.

This session focus on technical methods for implementing A/B testing frameworks, analyzing user behavior metrics, and using feature toggles for controlled rollouts, these are valuable insights for engineers aiming to leverage data-driven decision-making. By effectively leveraging user behavior and data, organizations can not only enhance their product experimentation processes but also foster a culture of continuous improvement and innovation.

This session will provide actionable advice and practical examples for overcoming the challenges of scaling teams, fostering collaboration, and sustaining high performance in dynamic and growing engineering organizations.

Target Audience:

• Software Engineers: Interested in integrating data-driven experimentation into development workflows.​

• Product Managers: Aiming to enhance product innovation through rapid feedback loops.​

• QA Professionals: Seeking strategies for effective testing and quality assurance in iterative development environments.