The second type is evaluative, so more like usability testing. The third tool is a basic rigorous survey design. It's the best scaled way to get responses from communities small and large. You can get a lot out of really well crafted surveys. But to do that, you have to have the fourth tool, which is applied statistics, the best research, know a little bit of stats. You can't interact in a world of AB testing without knowing basic statistics. And then in the old version of this, the fifth tool was SQL, because I think good researchers need to be able to run their own queries. These days, so much of that is dashboarded, that the fifth tool may now be prompt engineering, which is a thing we could talk about, but I think maybe that's the fifth tool is somewhere, is it technical skills that fall in between querying your own data, understanding it very well in companies that are awash with data and then interacting with generative AI.
These days, so much of that is dashboarded, that the fifth tool may now be prompt engineering, which is a thing we could talk about, but I think maybe that's the fifth tool is somewhere, is it technical skills that fall in between querying your own data, understanding it very well in companies that are awash with data and then interacting with generative AI.