This question is an exact duplicate of:
Can someone with access to the right data produce some analysis of the Close Vote queue?
When I work out how, or when I can do it, there will be a substantial (for me) Bounty for something effective.
I want what many want: which is how to deal with the Close Queue. Here are some analysis that may be useful:
- An analysis by age would be useful.
- Analysis by tag would be useful.
- If the "skip count" is available, analysis by that (say three broad groups to begin with - what are the "thirds" of the total queue?).
- An analysis of users by some grouping of rep, with Moderators another group.
- An analysis of top users down (to get an idea of how many users need to be encouraged such that an impact can be expected judged by the ratios of work done by people currently).
As well as lots of other things. Having never even seen the queue myself, it is difficult to be definitive or correct. Feel free to edit in suggestions....
Someone in the comments asked whether offering fries would be an incentive. Don't know where to start with that one.
Some more suggestions based on the comments:
For each language tag: the ratio of questions in the queue to close-voters with expertise (say, a bronze badge in the tag). SO could recruit more mods from areas in which the ratio is high; and concerned folks could start meta or chat conversations to come up with new norms for questions in those areas. – @Frank
Perhaps to extend to get some idea of the potential resource available per language tag (if languages themselves can be identified from tags?). How many, broken down by 3k, 10k, 20k have N+ Accepted answers in language tag.
An analysis of 'active' 3k+ users and how many close votes they cast per day on average (in the last ... month? week? year? and in total) (and similar analyses of users at higher reps, e.g. 10k+, 20k+) – @Dukeling
This might underpin, or undermine, the idea that the size of the Close Vote queue is demotivating.
- Do reviewers slow down once they've achieved a badge milestone?
- Can the effects of existing robo-voting be quantified?
- Ratio of review tests passed vs review test failures, for 3k, 10k, 20k.
- What is adding to the queue the most? In the last 30 days, how many questions are from the last thirty days, and how many from 60, 90, 180, 360, 720 days?
- How many questions on the queue have (mutually exclusive): Accepted answers; More than one Upvoted answer; One Upvoted answer; More than one answer; One answer; no answers.
- Same answer as previous, but for events which happened since question became Hold/on the Close Vote queue.
- Ratio of questions per tag as a whole vs questions per tag on Close Vote queue.
- On Hold must feed into the Close Votes. Can On Hold movements be analysed for the existing data?