Concepts in research often lack clear definitions and established survey questions. Researchers need to creatively devise ways to measure abstract concepts, such as identifying indicators and questions to capture the essence of phenomena like burnout or technical practices. This artistic aspect involves consulting experts to formulate effective survey items, even if the process may yield a large number of questions that require pre-testing before implementation.
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In this week's episode, we welcome Derek DeBellis, lead researcher on Google's DORA team, for a deep dive into the science and methodology behind DORA's research. We explore Derek's background, his role at Google, and how DORA intersects with other research disciplines. Derek takes us through DORA's research process step by step, from defining outcomes and factors to survey design, analysis, and structural equation modeling.
Mentions and Links:
Discussion points:
- (3:00) Derek’s transition from Microsoft to the DORA team at Google
- (4:28) Derek talks about his connection to surveys
- (6:16) Derek’s journey to becoming a quantitative user experience researcher
- (7:48) Derek simplifies DORA
- (8:19) DORA - Philosophy vs practice
- (11:09) Understanding desired outcomes
- (12:45) Self reported outcomes vs objective outcomes
- (16:16) Derek and Abi discuss the nuances of literature review
- (19:57) Derek details survey development
- (27:55) Pretesting issues
- (29:30) Designing surveys for other companies
- (35:02) Derek simplifies model analysis and validation techniques
- (38:48) Benchmarks: Balancing data limitations with method sensitivity