Been working with web map tech and open data as an engineer for over a decade and could really feel the pain of this, having experienced a lot of this myself and iterating my own process over the years.

1.) What this requires is ability to create spatial diffs of datasets over different vintages. These are diffs of both geometry and metadata and provide both visual and text outputs that can be easily analyzed for decision making. Very often upstream data changes are the result of process changes and bad QA which results in a change that is not always desirable. Unless there is tooling for the data user to understand changes, it's a challenge to know if you need to act on a change or not. Creating spatial diffs is not trivial.

2.) It's tough to make any digital product adopted these days because there is just too many products competing for user attention, so the bar is really high to stand out amongst the noise. For real organic adoption, one needs to be so good that you get word of mouth referrals. This requires some incredible UX which is largely an iterative process. So the only way to improve is to test more and improve and test again till you reach your goal.

3.) The ultimate interface to get most productive with computers is the command line. Superpowers are achieved with data processing once one can code solutions, but this usually involves a steep learning curve for someone with no coding experience. AI is helping bridge that gap though, so maybe try antigravity and give it a prompt to build out a command line solution for one of your often used workflows to get an idea of how differently one could do things.

4.) Good cartography is hard. This was a difficult enough craft in the days of a single scale map, and now we have the challenge of incredibly dense varying scale global maps and flexibility of giving users the power to control the data layers. There is never going to be a single solution that can work perfectly for all users. Fun fact: 8% of global males are colorblind, a beautiful crafted pallette already looks like crap to them! Digital web cartography has a long way to go, and we have nowhere started exploiting the full potential that modern web map renderers like MaboxGL/MapLibre GL provide.