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Webinar

Developing a Data Driven Culture at Miro: True Experimentation at Scale

Miro’s journey from the initial roll-out of Split to the key use cases at the center of a mature culture of experimentation

Abstract

In this webinar, we will explore the importance of developing a data-driven culture and implementing true experimentation at scale, with a focus on Miro, an online collaboration platform. The webinar aims to address the cultural aspects of adopting experimentation rather than just the technical aspects.

Key Takeaways

  1. Understanding the significance of developing a data-driven culture: The webinar will emphasize the importance of fostering a culture that values data-driven decision-making and experimentation within organizations.
  2. Insights from Miro’s experience: Dimitri, a growth engineering leader at Miro, will share insights on how Miro successfully developed a data-driven culture and implemented true experimentation at scale. He will discuss their process of setting up, executing, and analyzing experiments, along with their approach to defining metrics and setting hypotheses.
  3. Overcoming challenges: The webinar will highlight common challenges faced when implementing experimentation and how Miro addressed them. It will cover topics such as managing expectations, handling neutral or negative outcomes, and iterating on experiments for continuous improvement.
  4. Best practices and lessons learned: Attendees will gain valuable insights into best practices for running experiments, including the importance of hypothesis-driven experimentation, selecting appropriate metrics, and targeting specific user segments. The webinar will also touch upon automation using the Split API and creating a collaborative environment for experimentation.

By the end of the webinar, participants will have a deeper understanding of how to develop a data-driven culture, execute experiments effectively, and leverage true experimentation at scale to drive product improvements and business growth.

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