DBTB INT Steve Pepple r
summary
A product designer describes working with urban data from San Francisco Planning, DataSF and OpenOakland, running small playful experiments with standard analysis tools and teaming with data analysts and data scientists. These experiments routinely surface concrete, unexpected insights that prompt deeper inquiry, revealing new cross‑references and layers to dig into. The claim: iterative, low‑cost prototypes plus domain collaboration produce actionable discoveries that scale into more serious research or product work.
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