A dashboard is mostly a saved bunch of queries with a visual-aid in interpretting them.
Staleness, which Majors alludes to, is one problem.
The visuals being a poor aid to interpretability is another.
Usually these problems are coexisting & compounding: there’s too many charts here, half of them are out of date, half I don’t know how to make sense of them, and I’m not sure which half is which.
It would be interesting to revisit some of these problems in the AI era, because often the missing layer is a guide & runbook (which maybe an agent could do) that’s better than “page everyone who might know why this chart looks bad”
Reminds me of another fun dashboard question which is like “how many different ‘single source of truth’s does your company have and how many are true?”
We’re working on a static site generator for data analysts called evidence. It’s an alternative to conventional BI tools.
Procedurally generating pages from data and linking them together is a core part of the offering. In many applications this is far easier for users than presenting them with a conventional filter interface.
It’s mostly a light criticism of the Honeycomb perspective. All the value is presumably in the outbound links to thinking about dashboards that the author laments is being ignored.
A dashboard is mostly a saved bunch of queries with a visual-aid in interpretting them.
Staleness, which Majors alludes to, is one problem.
The visuals being a poor aid to interpretability is another.
Usually these problems are coexisting & compounding: there’s too many charts here, half of them are out of date, half I don’t know how to make sense of them, and I’m not sure which half is which.
It would be interesting to revisit some of these problems in the AI era, because often the missing layer is a guide & runbook (which maybe an agent could do) that’s better than “page everyone who might know why this chart looks bad”
Reminds me of another fun dashboard question which is like “how many different ‘single source of truth’s does your company have and how many are true?”
Anyone know of any "data navigation" UXs like the post mentions? I'd bet someone out there is working on something like it.
We’re working on a static site generator for data analysts called evidence. It’s an alternative to conventional BI tools.
Procedurally generating pages from data and linking them together is a core part of the offering. In many applications this is far easier for users than presenting them with a conventional filter interface.
GitHub: https://github.com/evidence-dev/evidence
Launch HN: https://news.ycombinator.com/item?id=28304781
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that just reads like an ad for Honeycomb wrapped in a blog post
It’s mostly a light criticism of the Honeycomb perspective. All the value is presumably in the outbound links to thinking about dashboards that the author laments is being ignored.