Mavens of Data
Best Practices for Working with Stakeholders (w/ Madison Schott)
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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Quick takeaways
- Effective stakeholder management is crucial for data professionals, ensuring analytical work aligns with business needs and adds real value.
- Regular communication and iterative collaboration with stakeholders, using tools like JIRA, can help prioritize tasks based on overall business impact.
Deep dives
The Importance of Stakeholder Engagement
Effective stakeholder management is crucial in data roles, as stakeholders are the ones who utilize data to make informed business decisions. Understanding their needs ensures that analytical work has real value; without this connection, the efforts of data analysts and engineers might not contribute significantly. However, this aspect is often overlooked in the data community due to the challenges of teaching soft skills, particularly communication, which must often be developed through real-world feedback and experience. The emphasis should be on learning how to communicate effectively with stakeholders, moving beyond technical jargon to convey value in terms they understand.
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