This site uses different types of cookies, including analytics and functional cookies (its own and from other sites). To change your cookie settings or find out more, click here. If you continue browsing our website, you accept these cookies.
To really power the cleanup - what would be tremendously helpful is data on unsolved problems.
I think that this could take 2 forms:
a) a table format (like @JoeM does for the weekly exercises) - this would be fairly trivial to auto-generate this from the underlying data rather than hand-crafting - and can include links directly to the unsolved item
b) a grouped data structure, where we could see a few things:
- Unsolved items by requestor (that allows us to group and target the biggest populations first)
- some indicator of whether this requestor is still active in logging into the community (no point in chasing someone that hasn't logged in since 2013)
- Links directly to the thread item
- Last post date on the thread (no point in chasing someone to mark this as solved if it just happened 2 days ago)
That would enable us to go through the full population and more effectively work on getting the remaining items marked as solved or closed - and it would also allow us to track our progress as a metric of success day-by-day!
🙂 I feel a data-driven-cleanup-project coming on - with as-of snapshots; trend graphs etc. Very exciting stuff!