S04E04 - Better survey design with AI - with Kirsten Hill

S04E04 - Better survey design with AI - with Kirsten Hill

Author: Half Stack Data Science June 22, 2025 Duration: 54:36

In this episode, we spoke to Kirsten Hill.

Dr Kirsten Hill is a researcher, writer, and the founder of bisque — a survey platform that actually cares if you get good data. She has a Ph.D. from the University of Pennsylvania, has led research for the Bill & Melinda Gates Foundation, and has worked with over 100 mission-driven teams on measurement & evaluation. This past year, she authored her first book, Ask Better Questions, a top release on survey design — and realized that writing the book wasn’t enough. If she really wanted to change how people do research, she had to build the tools that would make it easier to do it right. With real-time AI feedback, intuitive design, and built-in best practices, bisque makes it easy to create surveys that get you the answers you actually need.

We spoke to Kirsten about how and why surveys are often bad, why she believes the major survey platforms aren't fit for purpose, why she's building her own survey platform "bisque", how she's using Large Language Models to develop a working prototype, and what advice she has for other non-programmers who want to build things with AI.

You can find her on:


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David’s book, The Well-Grounded Data Analyst is out! ⁠https://www.manning.com/books/the-well-grounded-data-analyst⁠

If you want to find out more, we have a whole episode about it: ⁠https://open.spotify.com/episode/5D0iDtQRh3tWiIhokrjz3x?si=AiX6YyRET16lnzXDlvdcfw


Hosted by David Asboth and Shaun McGirr, Half Stack Data Science pulls back the curtain on what it really means to build and deploy data science within large organizations. This isn't a theoretical discussion of algorithms, but a grounded conversation about the messy, human, and often political challenges that define the field in an enterprise setting. Each episode delves into the practical hurdles-from managing stakeholder expectations and navigating legacy systems to communicating value and dealing with imperfect data. You'll hear candid reflections on projects that succeeded and those that didn't, offering a rare, unvarnished look at the day-to-day work beyond the hype. The Half Stack Data Science podcast is for practitioners who want to move beyond textbook examples and for leaders seeking to understand how to foster effective data teams. It’s a dialogue focused on the tools, processes, and soft skills necessary to deliver impact, making it an essential listen for anyone navigating the complex intersection of data, technology, and business reality. Tune in for honest talk about building things that actually work.
Author: Language: English Episodes: 33

Half Stack Data Science
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