In the last couple of months Stack Exchange has undertaken significant effort to make the network more welcoming. From a regular user's perspective, we can only see the internal consequences and ripple effects this has had.

I was re-reading Tim Post's Answer about the science behind what led to determining the necessity of the welcoming push.

In this post it is mentioned that Stack Exchange now employs highly skilled data scientists that seem to have a finger on the pulse of whether or not the efforts are paying off.

I'd be interested if the trend and numbers on this have seen a significant change with the welcoming push and in which direction. Has the initiative worked so far? How is Stack Exchange measuring this? Are there any particular areas that yet need more work?

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    Not answering because I don't have an answer yet. There are numbers, and they are moving, but we need to be sure we understand what's moving them and why. It might be another month or two before we have enough data to put solid theory out, but I'm pinging Julia to see if she'd be interested in say a monthly .. "It's network data science time with Julia!" thing here. Stay tuned. – Tim Post Sep 19 '18 at 13:02
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    @TimPost I have a feeling seeing the effects of what is being worked on first hand would to well to quell some of the fear and concerns over the whole initiative and inspire some confidence in established users who are anxious to see SE do well. Thanks for taking time to respond to my post :) – Magisch Sep 19 '18 at 13:03
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    Definitely, I agree. We're at an awkward point where it's difficult to define clear KPI-oriented goals in the absence of knowing what's possible in a community of this (unprecedented) size that's largely self-governing. That's why I'm very careful when talking about things like the attrition rate, because how we measure that matters just as much as the measurement itself, and we don't base strategy off of stuff we're not sure of yet, so it's hard to produce public artifacts or even a solid roadmap at this point [1/3]. – Tim Post Sep 19 '18 at 13:20
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    [2/3] However, I think there's stuff that we can share as we progress, but there's going to be a giant "We're sharing this for the sake of sharing it, don't shake your fists if decisions don't seem to reflect it yet" and that sort of thing. – Tim Post Sep 19 '18 at 13:21
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    [3/3] In other words, I think there's a substantial part of the community that would love to see all of this 'done and over with', and we're nowhere close to that, which ... well, we have to be careful to set up scenarios where we know we'll be at passionate odds with some folks and have no other answers. Quiet is, sometimes, the best strategy in those cases. But we'll see what we can do. – Tim Post Sep 19 '18 at 13:21
  • It's going to be interesting to see if there's a dip in the metrics where established users simply ignore the "new contributor" thing and go back to their previous behaviour. – Snow Sep 19 '18 at 13:27
  • adblock facilitates that behavior quite well – Kevin B Sep 19 '18 at 15:31
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    it's been a month @TimPost – Jeff Atwood Oct 19 '18 at 11:39
  • @JeffAtwood would this count as follow-up: Data science time! November 2018 and CORRELATIONS – gnat Nov 6 '18 at 7:37

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