Published May 20, 2024

An Experimenter’s Guide to the Galaxy with Bhavik Patel

Bhavik Patel, Director of Experimentation and Analytics at LeanConvert, explores the evolving roles in CRO, the art of crafting strong hypotheses, and the crucial process of data interpretation, while underscoring the power of authentic networking for career growth.
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Episode Highlights

  • Evolution

    reflects on the evolution of experimentation and CRO roles over the past decade. Initially, these roles were more generalist, encompassing a wide range of responsibilities from analytics to growth. Today, while specialization is more common, Bhavik believes a generalist approach remains valuable, as it requires skills in analytics, hypothesis generation, and experiment design 1. He emphasizes the importance of being part of a team with specialists, such as data analysts, to support the CRO process.

    I think then you kind of start to explore what the skill sets are. And from this point, I still believe in some ways it's a generalist role.

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    The UK and the Netherlands have emerged as hotspots for experimentation, driven by their tech-centric environments. London, in particular, has become a hub due to its concentration of tech companies, fostering a culture of experimentation and innovation 2.

       

    Skills

    In today's CRO landscape, a blend of generalist and specialist skills is essential. highlights the importance of understanding hypothesis generation, experiment design, and post-experiment analysis. He notes that many in the industry lack a solid foundation in these areas, often relying too heavily on A/B testing platforms without grasping the underlying statistical principles 3. Bhavik's workshop aims to address these gaps by offering practical, end-to-end guidance on experimentation.

    It won't be like an overly academic experience. If anything, I try to make sure that it's, to the point, pragmatic.

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    The ideal participants for his workshop are non-technical professionals who have relied on analysts for experiment design. Bhavik stresses the need for a comprehensive understanding of the experimentation process to avoid common pitfalls and enhance decision-making 4.

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