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Goal

Identify all resolved tickets in time-period.

Notes

MAJOR

 

MINOR

"Assigned Group" is what we see as the assigned group when we open a Remedy ticket. Confirm if this is the field Remedy reports in their "Assigned Group" header, as is likely the case.

  • Reason for question: CIT's HelpDesk practice is to "take" tickets from us, changing the "Assigned Group". There is apparently another (hidden?) field that is the group which created the ticket, regardless of how "Assigned Group" subsequently gets changed.
    • For tickets "born" in Chemistry/ Physics, that other field is the one to use, regardless of which group/ person closes it. In our report, would show as closed, but not by one of us (one more line).
    • For tickets "born" elsewhere but ended up in Chemistry/ Physics, the normal "Assigned Group" field is the one to use, along with our staff member who closed the ticket. That's happening now.

Process

I wrote to Frank 1/14/16 to request report from Greg Christofferson. Excerpt:

Thanks for discussing Remedy reports with me this morning, inspired by Greg Christofferson’s <gc88> recent referral to me. Greg thought he was already sending you the report data that I had discussed with him I wanted for our group.

What you and I discussed is if we could start with getting data for one month, to start. Get data for each of the 4 full-time staff members in Chemistry IT/ Physics IT with how many tickets we resolved in the Chemistry queue. Once we nail down a report with the right info we can broaden the time, include student staff, and pull in data from our other 2 queues (Chemistry 2 and Physics).

Details

This provides us with a measure of volume, to compare with our monthly snap-shots of outstanding tickets.

Process idea: Do for each month (or quarter), starting with the past 6 months (or 2 years).

Implementation ideas

Example 1: Spreadsheets

From Frank, 1/30/17, "Resolved Time Summary per Assignee: 04/01/2016 to 01/01/2017":

Total flow summary: There is an average of about 7 tickets resolved by our group per workday.

Chemistry, for this 8 month period:

Flow summary: 123 tickets per month averages to about 6 tickets per day.

 

Resolved within 1 day

Resolved in more than 1 day

Total

Oliver's analysis:

Avg. per month

Oliver's analysis:

Percent of volume

Lulu Zhu

38

53

91

11.49%

Michael E Hint

285

247

532

66.554%

Oliver B Habicht

132

104

236

29.524%

All others:

66

58

124

15.513%

Total

521

462

983

123 

Physics, for this 8 month period:

Flow summary: 15.5 tickets per month averages to about 0.7 tickets per day.

 

Resolved within 1 day

Resolved in more than 1 day

Total

Oliver's analysis:

Avg. per month

Oliver's analysis:

Percent of volume

Lulu Zhu

2

1

3

--

Michael E Hint

34

35

69

8.656%

Oliver B Habicht

21

14

35

4.428%

All others:

9

12

21

2.617%

Total

68

56

124

15.5 

 

In the Month of Sept 2015, ChemIT (Assigned groups: Chemistry and Chemistry (L2)) and PhysIT (Assigned group: Physics) resolved x number of tickets. The are as follows (in a spreadsheet):

Assigned Group, Summary, First Name, Last Name, Contact Type, Reported Date (Why are there two? Do they differ?), Responded Date, Last Resolved Date, Closed Date, Last Acknowledged Date, Last Modified, Re-Opened Date, Service, Status (is either resolved or (auto-)closed, depending on query date), Assignee, Resolution, Customer Building Name, ID.

From Frank, 4/25/16, "Resolved tickets for 3-1 thru 4-12-16":

 

 

Resolved within 1 day

Resolved in more than 1 day

Total

Chemistry

Lulu Zhu

2

8

10

 

Michael E Hint

41

32

73

 

Oliver B Habicht

9

8

17

 

Roger W Garnett

16

8

24

 

Total

68

56

124

 

From Frank, 3/16/16: For January 2016:

Assigned Group

Assignee

Incident Closed/Resolved

Chemistry

Lulu Zhu

14

 

Michael E Hint

55

 

Oliver B Habicht

14

 

Roger W Garnett

18

 

Sub-Total

101

Chemistry

Total

101

Note: Frank's data had a column for "Hours Captured". We used to put down hours since never got reports with this data, so for this time-period, it's labelled as "No Effort".

Example 2: Pie charts

Pie chart for ChemIT and separate pie chart for PhysIT showing tickets completed by staff member. Annual snapshot?

  • Similar to the Library's Desktop Services "DS Resolved Incidents 2014" and "DS Resolved Incidents 2015" web reports.

 

 

 

 

 

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