Maintaining healthy skepticism toward your data
Blog post from Metabase
Navigating the complex world of data requires a healthy skepticism and an understanding that numbers can be misleading due to errors, biases, or misinterpretations. It's crucial to stay calm when unexpected data fluctuations occur, as these may not always indicate problems but could be due to changes in audience, features, or priorities. Before making decisions, investigate potential issues in the data pipeline or misinterpretations, and consider alternative metrics for context. Metrics like net promoter score (NPS) can be volatile, so using rolling averages and visualizations can provide more stability and insight. Developing "data intuition" is a gradual process that involves engaging with both qualitative research and quantitative data, as well as collaborating with data teams to gain a deeper understanding of the data sources and their modeling.
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