I appreciated your very easy to understand explanation regarding causal inference analysis as compared to the regression analyses we’ve been discussing in class! I find this application very exciting as a user experience designer. This type of data could be so influential in how information and interactions are laid out within a product. This application of people analytics is also a bit different than much of what we’ve discussed in class because it is performing the analysis externally on customers, rather than internally in an HR capacity.
Additionally, I wonder if this is the same type of analysis that Netflix uses for their cover images within the app. Netflix personalizes the image of each show/movie based on your specific profile and what it feels you’ll be most drawn to. I know Netflix is very big into experimentation and data analysis, so I’m curious if this specific type of analysis is occurring to identify if, at a statistically significant level, cover image selections are causing a change in customer viewing selections.
I find it really interesting to consider the role of people analytics within DEI efforts, so thanks for sharing this article! I think a crucial part of building that trust is having representation at each stage of the process. This also addresses BRolan’s previous comment. The way an organization can demonstrate that they truly empathize with the various populations within their company is to have those voices incorporated along the pipeline. I feel that having BIPOC, women, LGBTQ+, etc. input across the life cycle of a DEI project is vital to garnering employee trust. Including diverse voices from the start can ensure projects are being structured in ways that don’t have blindspots that could affect the results. Discovering the “why” of the findings within the data will also be easier and more accurate if you have representation during the analysis phase as well. Finally, the lived perspective of various groups can make the communicating of results to leadership all the more impactful. The deeper consideration here though is to not automatically burden all underrepresented groups with this type of work where they feel obligated to be the “mouthpiece” for all who have a similar identity to them. This type of work definitely requires a thoughtful approach to collaboration.