Topic
Data Product Thinking
Product strategy and user empathy applied to analytics.
You Cannot Sell Freshness as a Setting
Offering different data refresh speeds sounds like a clean product decision. Fast for customers who need it, slower for workloads that cost more to process. But once freshness varies by dataset, metric, or package, timing becomes part of the meaning of the data. The product now has to explain not only what a number means, but which version of reality the user is looking at.
The Architecture You Ignore Eventually Becomes Your Process
Most operational processes are not designed. They emerge as workarounds for systems that cannot represent reality. Every spreadsheet, exception list, and recurring meeting is often evidence of an architectural decision that was never made.
Data Products Need Empathy, Not Just Pipelines
Better analytics starts with respecting how people actually work — not just moving the data correctly.