library service statistics

[kpsherva]

User story:
To measure our efficiency in providing documents, we would like e.g. to know how much time passed between a request (date, time) for a document that is available (can circulate and not on loan) and the creation of the loan (date, time) to calculate the speed of our service.

In the same idea, we would like to know the median time users are waiting when a book is not available (not can circulate or all copies on loan), with calculating the time between the loan or borrowing request and the creation of the loan.

Implementation, details view, REST:

• take the times between the transitions of the loan (must be taken from record revisions for each state transition)
• return as (agree on the field names and which stats to measure and how to represent time deltas)

"statistics": {"performance": {"request-to-loan-when-available": "10days", "request-to-loan-when-overbooked": "13days"}}

• take into account cases when loan is immediately created and on loan (when checked out on library desk)
• take into account self checkouts

Needs discussion and investigation

[salomerohr]

Other data we would need to measure our efficiency are:

• date/time of Literature Request, date/time of creation of corresponding Purchase Order / Borrowing Request, and date/time of the different status changes of Purchase Order / Borrowing Request (pending, ordered, on loan, returned/received), so we will be able to calculate e.g. time for us to process the request, waiting time (for provider to send the document) and see where we could improve.