Cool idea. How accurate do you expect the figures to be? Might people whose apps are reviewed particularly slowly be more inclined to report review times, thereby skewing results?
I am (possibly optimistically) hoping that people will be accurate with the data :)
It needs a decent amount of usage to be anything like accurate anyway and so I hope that the occasional bad data point will be hidden by the averages. I will be watching to see how accurate the data "feels" by watching the kind of tweets people are putting through it.
[OT] While I can see the the usefulness of gathering data from tweets keyed by hashtag, I don't quite get the point here. I would expect a web page to have a more direct means of entering data.
It is a great idea for gathering data from tweet followers, however.
Main reason... I wanted to keep it really simple in terms of implementation and also so people might see the hashtag being used and go investigate what it was :) It was knocked up in a few hours total.
However, I also think it would be easier just add the hash tag to a tweet that you may even already be typing rather than have to go to a separate web page and enter a form. I would certainly prefer to do it this way.
I had forgotten about that, just checked and they do show a percentage of iOS (no Mac) apps which are reviewed within 7 days (currently 75%) but it is kinda tucked away in the middle of a page and not really obvious. It will be interesting to see if the user generated average settles on ~7 days, my feeling is that it probably will be around that mark.
Also, if I get a decent amount of data coming through the system there is the possibility of gathering more data or creating some interesting visualisations of it. We will see.
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No doubt there's other ways to split it (e.g. "controversy level", "complexity") but those are potentially a bit tricky to quantify.
Again, if it gets decent data coming through it there might be some nice things I can do with visualisation of that data too. We will see ;)
It needs a decent amount of usage to be anything like accurate anyway and so I hope that the occasional bad data point will be hidden by the averages. I will be watching to see how accurate the data "feels" by watching the kind of tweets people are putting through it.
It is a great idea for gathering data from tweet followers, however.
However, I also think it would be easier just add the hash tag to a tweet that you may even already be typing rather than have to go to a separate web page and enter a form. I would certainly prefer to do it this way.
Also, if I get a decent amount of data coming through the system there is the possibility of gathering more data or creating some interesting visualisations of it. We will see.