We’re working on a tool that is a platform for investigations in a virtual machine. We have a thesis that more time spent in the machine itself is going to be indicative of happy customers, as we meet a broader range of their investigative tasks in platform.
I want to test this by seeing if time in platform is predictive of retention. I can measure time in platform on average, but I can’t figure out how to link it back to retention.
I’m also open to criticism of the idea in general.
Best answer by Saish Redkar
One way to approach this is to have a quantifiable property over X days ( possibly average ) for time spent in platform and then use this to create different segments in your retention chart.
If the segment having higher avg. time in platform has a better retention curve, then you have your correlation .
+10One way to approach this is to have a quantifiable property over X days ( possibly average ) for time spent in platform and then use this to create different segments in your retention chart.
If the segment having higher avg. time in platform has a better retention curve, then you have your correlation .
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