Engineering Enablement by Abi Noda
The science behind DORA | Derek DeBellis (Google)
May 7, 2024
Derek Debellis, lead researcher on Google's DORA team, discusses the science behind DORA's research, including defining outcomes, survey design, model analysis, and survey development. He also talks about the nuances of literature review, benchmarks, and balancing data limitations with method sensitivity.
47:50
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Quick takeaways
- DORA's research process involves defining outcomes, factors, survey design, analysis, and structural equation modeling.
- Survey analysis challenges include data fitting issues, method sensitivity, and the need for robust, reliable results.
Deep dives
Research Methodology and Process in Developing Dora's Surveys
The podcast episode delves into the technical deep dive of the science and methodology behind Dora's research process. It highlights the meticulous approach taken from defining outcomes and factors to measuring them through survey design, analysis, and structural equation modeling. By exploring the background and role of lead researcher Derek, it showcases the intersection of different research disciplines and the iterative process of survey development, leveraging methods like exploratory factor analysis and confirmatory factor analysis.
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