It was some time ago, and I believe we had to modify the dashboard in order to 
show the metrics split out.  I don't have access to that code any more, so I 
can't really be 100% sure how we did it.  

Sorry,
Rob

On Nov 6, 2012, at 1:21 PM, Ian Young <[email protected]> wrote:

> Thanks Rob. I did test Vanity and couldn't figure out how to get multiple 
> metrics working. Playing with it again, I think I now see how the feature 
> works and why it didn't match what I expected to see. Maybe you can pitch in 
> to tell me if I'm understanding it correctly.
> 
> In Vanity, if you define multiple metrics for an experiment, calling track!() 
> on any one of those metrics will mark the user as converted. But it all goes 
> into the same conversion count in the dashboard. So I could track 
> :account_created and :newsletter_signup as two different metrics, and get 
> conversion rates for an experiment based on how many users did *at least one* 
> of those things.
> 
> A nice enough feature, but unfortunately not quite the functionality I was 
> hoping for - I'd like to track and view each metric separately. Anyone used 
> Absurdity and know if it works the Vanity way, or my hypothetical way?
> 
> Ian
> 
> 
> On Tue, Nov 6, 2012 at 12:02 PM, Robert Kaufman <[email protected]> wrote:
> So you want to track multiple metrics for a given A/B test?  That would be an 
> Absurdity https://github.com/xing/absurdity! Oh, the Vanity 
> http://vanity.labnotes.org/ of some people. ;-D
> 
> Best,
> Rob
> 
> PS: I know the Vanity docs don't really describe using more than one metric, 
> but it has worked for me in the past and it does appear from 
> http://vanity.labnotes.org/api/Vanity/Experiment/AbTest.html#metrics-instance_method
>  that it should continue to work.
> 
> 
> On Nov 2, 2012, at 1:35 PM, Ian Young <[email protected]> wrote:
> 
>> Hey all,
>> 
>> I'm looking into A/B testing tools for Rails. There are a number of good 
>> options available, but to my surprise, none of the tools I've looked at 
>> appear to support measuring multiple metrics for a single test. I know I'm 
>> not the only one to think of this, because 
>> http://bjk5.com/post/28269263789/lessons-learned-a-b-testing-with-gae-bingo 
>> describes and screenshots exactly what I had in mind. Unfortunately, that's 
>> a Python tool he's talking about.
>> 
>> It's easy enough to optimize your landing page based on a single metric 
>> (conversions), but like Khan Academy, I want to test more nuanced questions 
>> - are our users more engaged with the content? Do they participate more? Can 
>> we increase click-through without harming long-term retention? It seems 
>> somewhat constraining to test a new feature but only get an answer for a 
>> single measurement.
>> 
>> So, anyone know of a tool I've overlooked that might do this? Am I really 
>> the only one who wants this feature? Anyone have a persuasive argument in 
>> favor of sticking to a single metric?
>> 
>> Ian
>> 
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