Feature: analyze number of times user logs in or returns to website

[jonfroehlich]

We would expect that return users do higher quality work than single-session users--if for no other reason than they are putting more effort into using the system (but also they will have more experience)

[daotyl000]

Where can this information be found of user log ins/site visits be found?

[jonfroehlich]

Ping Mikey

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On Thu, Aug 15, 2019 at 11:09 AM Tyler Dao ***@***.***> wrote: Where can this information be found of user log ins/site visits be found? — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub <#45?email_source=notifications&email_token=AAML55IGUBEUBFBZUMR3553QEWLT3A5CNFSM4ILOJ52KYY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOD4MR3ZI#issuecomment-521739749>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AAML55N56GO2K3IHH4C4MULQEWLT3ANCNFSM4ILOJ52A> .

-- Jon Froehlich Associate Professor Paul G. Allen School of Computer Science & Engineering University of Washington http://makeabilitylab.io @jonfroehlich <https://twitter.com/jonfroehlich> - Twitter Help make sidewalks more accessible: http://projectsidewalk.io

[daotyl000]

When plotting the number of times a user has logged in/ number of sessions. There is close to no correlation between the two.

The graph with fewer points are the users who have placed at least 10 of each label types while the graph with more are all users who have done at least one mission

It is possible that we simply do not have enough users who have done enough sessions & logged in enough

[jonfroehlich]

That's unexpected! Thanks for this analysis.

…

On Tue, Aug 27, 2019 at 4:21 PM Tyler Dao ***@***.***> wrote: When plotting the number of times a user has logged in/ number of sessions. There is close to no correlation between the two. The graph with fewer points are the users who have placed at least 10 of each label types while the graph with more are all users who have done at least one mission [image: Screen Shot 2019-08-27 at 4 17 27 PM] <https://user-images.githubusercontent.com/28814007/63814580-46f4ea80-c8e6-11e9-84c2-94ab8a9305d4.png> [image: Screen Shot 2019-08-27 at 4 17 53 PM] <https://user-images.githubusercontent.com/28814007/63814582-46f4ea80-c8e6-11e9-88ed-a653eda7b348.png> [image: Screen Shot 2019-08-27 at 4 17 57 PM] <https://user-images.githubusercontent.com/28814007/63814583-46f4ea80-c8e6-11e9-8fc4-c727e87e5e74.png> [image: Screen Shot 2019-08-27 at 4 18 02 PM] <https://user-images.githubusercontent.com/28814007/63814584-46f4ea80-c8e6-11e9-8241-34ac3a6975d1.png> — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub <#45?email_source=notifications&email_token=AAML55MD2ZS5HLN4VQTFZQ3QGWZH3A5CNFSM4ILOJ52KYY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOD5JM4GI#issuecomment-525520409>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AAML55KHIE4B6IXEK7B4UT3QGWZH3ANCNFSM4ILOJ52A> .

-- Jon Froehlich Associate Professor Paul G. Allen School of Computer Science & Engineering University of Washington http://makeabilitylab.io @jonfroehlich <https://twitter.com/jonfroehlich> - Twitter Help make sidewalks more accessible: http://projectsidewalk.io