The Year-End Data Debrief from Survey & Beyond
December 19, 2025
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.
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.
What You’ll Learn:
- How to move beyond perception bias
- The critical inclusion problem in datasets
- Why household sampling methodology matters for credibility
- How to design survey measures that capture real learning
- Why data transparency directly protects your organization's credibility and market trust
- The qualitative rubric advantage over surveys for deep assessment
If you enjoyed this episode, make sure to subscribe, rate and review on Apple Podcasts, Spotify and Youtube Podcasts, instructions on how to do this are here.
Episode Resources:
- Amelia Burke-Garcia on LinkedIn
- Maulik Chauhan on LinkedIn
- Douglas Johnson on LinkedIn
- Jeremy Taylor on LinkedIn
- Alexa Kneale on LinkedIn
- Marta Costa on LinkedIn
- Dobility Website
- SurveyCTO Website
Episode Chapters:
- 0:00 Why ‘Unmeasurable’ Is a Myth
- 01:12 Inclusion as a Data Quality Issue
- 02:02 The Reality of Household Sampling Without Census Data
- 05:23 Measuring Social-Emotional Growth Beyond Surveys
- 06:12 Why Data Transparency Is the Basis of Trust
- 07:43 Why the Right-Hand Rule Falls Apart in Practice
- 09:53 When Survey Results Lie
- 12:58 Automating the Data Lifecycle for Carbon Credits
- 17:40 AI as the Next Opinion Leader in Health Communication
- 20:23 The Future of Rooftop and Grid-Based Sampling
Survey & Beyond: The Data Collection Podcast is handcrafted by our friends over at: fame.so
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