Data collection, impact measurement, and survey research are often described as complex, expensive, or impossible to get right, especially at scale. In this special December compilation episode of Survey & Beyond: The Data Collection Podcast, we revisit some of the most thought-provoking conversations from across the year, bringing together researchers, practitioners, and technologists who are pushing the boundaries of how impact is measured, validated, and trusted. From the challenges of sampling households without reliable census data to the hidden risks of poorly designed survey instruments, and the growing demand for data transparency in carbon markets, this episode highlights one recurring theme: meaningful decisions depend on evidence you can trust.

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