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.
Hi
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 .
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