<html><head><meta http-equiv="Content-Type" content="text/html charset=utf-8"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;" class=""><div class="">I doubt anyone would argue against more data analysis :) </div><div class=""><br class=""></div><div class="">I’d like to ask the independent analyst (who helped produce the report) to dig into production stage deployments with low NPS scores and see if there are any other correlations.</div><div class=""><br class=""></div><div class="">Jon and I also threw out a few ideas on the list - release version, cloud size, projects used - are there any other factors you are specifically interested in analyzing?</div><div class=""><br class=""></div><div class="">Cheers,</div><div class="">Lauren</div><div class=""><br class=""></div><div class=""><br class=""></div><div><blockquote type="cite" class=""><div class="">On Nov 17, 2015, at 2:50 PM, Roland Chan <<a href="mailto:roland@aptira.com" class="">roland@aptira.com</a>> wrote:</div><br class="Apple-interchange-newline"><div class=""><p dir="ltr" class="">That's exactly the sort of analysis required.</p><p dir="ltr" class="">Distribution of the data is only needed if the people who currently have access to it are unable to perform the analysis for some reason.</p><p dir="ltr" class="">First though, the committee must resolve that the analysis is needed. Once that is done we can investigate what needs to happen.</p><p dir="ltr" class="">Do we have agreement on whether further analysis is warranted?</p><p dir="ltr" class="">Roland</p>
<br class=""><div class="gmail_quote"><div dir="ltr" class="">On Wed, 18 Nov 2015 02:28 Jonathan Proulx <<a href="mailto:jon@csail.mit.edu" target="_blank" class="">jon@csail.mit.edu</a>> wrote:<br class=""></div><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><br class="">
Perhaps it would be valuable to take a couple more cuts of the<br class="">
deployment data (size, release, projects used etc) by promoters and<br class="">
detractors?<br class="">
<br class="">
That might be informative without requiring further distribution of<br class="">
raw data. Are there any other specific comparisions people think<br class="">
might be useful?<br class="">
<br class="">
Remembering that this is a vouluntary survey mostly announced through<br class="">
chennels frequented by people involved in the community to some extent<br class="">
I'd expect to see a relatively strong positive bias in results, so if<br class="">
anyone has actionable ideas on how to get deeeper I'm for it, but I'm<br class="">
also not sure I put too much importance on that metric by itself for<br class="">
reasons others have mentioned.<br class="">
<br class="">
-Jon<br class="">
<br class="">
--<br class="">
</blockquote></div>
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