Though I believe this is a bit of a 'false metric' depending on your 'login timeout' setting - eg. if you have the cookie timeout set to 30 days, what do we gain from following this metric aside from a bit of an arbitrary 'someone was logged in' ?
I would agree this report would still be useful to have, because frankly at present I have to export a monthly report of:
- New members (under members)
- Participation (under members)
- Active members (under members)
And then in Microsoft Excel or similar, combine the lists of users, and de-duplicate them.
From there, I can work out that members "must have been logged in to perform this action" and the count of it gives me the number of logged-in, active users per month. I can also exclude 'Anonymous' from the reports.
Because frankly, standalone, the reports that follow Activity Categorization Matrix are wacky and don't align with the KPIs we're asked to report on, and you have to combine the reports for the components that do not overlap between them.
Christopher do you get a lot of unique entries in the new/active members which are not covered by the entries in participation, as that seems like it should cover anyone who has viewed a piece of content
So the others are visitors who have done very little?
Is content, as it is a wiki document, it would show up in verint reporting.
So we have a scenario here where a user may register, only view the group page, and not anything else. Or a user may login, view the group page, and not do anything else (this last scenario would actually escape all reporting because it's not captured in the categorisation matrix at all)
Is content, as it is a wiki document, it would show up in verint reporting.
So we have a scenario here where a user may register, only view the group page, and not anything else. Or a user may login, view the group page, and not do anything else (this last scenario would actually escape all reporting because it's not captured in the categorisation matrix at all)
