Mavens of Data Best Practices for Working with Stakeholders (w/ Madison Schott)
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Dec 6, 2024 Madison Schott, Senior Analytics Engineer at ConvertKit and author of the Learn Analytics Engineering newsletter, shares her insights on collaborating with stakeholders. She emphasizes the underrated nature of stakeholder management and highlights common pitfalls data professionals face. Madison offers practical tips for clear communication and setting boundaries to avoid burnout. She discusses the importance of understanding stakeholder needs, adaptive communication, and ensuring that data models address specific business questions, fostering effective project outcomes.
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Stakeholder Importance
- Stakeholders use data to make business decisions, making stakeholder collaboration crucial for data professionals.
- Without stakeholder action, data work becomes irrelevant, highlighting the importance of clear communication and value translation.
Know Your Stakeholders
- Understand the different types of stakeholders you work with, such as data analysts, marketers, and sales teams.
- Tailor your communication to their specific needs and expertise to effectively convey information and gather requirements.
Overly Technical
- John Pauler initially struggled with over-technical communication, focusing on methodology rather than business impact.
- He learned to prioritize conveying actionable insights that directly addressed stakeholder needs.
