Excerpt |
---|
In the last 8 months of 2016, Chemistry and Physics IT resolved over 6.4 tickets per workday. |
See also
...
Identify all resolved tickets in time-period.
Notes
MAJOR
TBD
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.
...
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.
...
Implementation ideas
Example 1: Spreadsheets
Rolled-up summaries, useful to detect variability or trends
Time period | Chemistry: Average tickets per month | Chemistry: Average tickets per day | Physics: Average tickets per month | Physics: Average tickets per day |
---|---|---|---|---|
July 2017 (20 work days) | 87 | 4.85 | 10 | 0.50 |
June 2017 (22 work days) | 100 | 4.54 | 17 | 0.77 |
May 2017 (22 work days) | 92 | 4.2 | 13 | 0.59 |
April 2017 (20 work days) | 100 | 5.0 | 15.0 | 0.75 |
8 months: 04/01/2016 to 01/01/2017 | 123 | 6.3 | 15.5 | 0.8 |
Tickets resolved in July 2017
- From Frank, 8/15/17
Assumptions for analysis portion
- Since JUST the month of July, simply counted the work days, taking into account staff holidays this month (Tues. 7/4: Independence Day): 20 work days.
- See prior analysis if care to have numbers for average number of work days over several months.
Total flow summary: There is an average of over 4.85 tickets resolved by our group each workday, for both Chemistry and Physics.
- We had 97 resolved tickets this month for both Chemistry and Physics.
- At 20 workdays this month: 97 / 20 = ~4.85 resolved tickets per workday.
Chemistry, for this 1 month period:
Flow summary: 87 tickets per month averages to 4.35 tickets resolved 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 | 8 | 10 | 0.45 | 11.5% |
Michael E Hint | 28 | 25 | 53 | 2.65 | 60.9% |
Oliver B Habicht | 10 | 14 | 24 | 1.2 | 27.6% |
All others: | 0 | 0 | 0 | - | - |
Total | 40 | 47 | 87 | 4.35 |
Physics, for this 1 month period:
Flow summary: 10 tickets per month averages to about 0.50 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 |
Kelly Brower | 1 | 3 | 4 | 0.20 | 40% |
Lulu Zhu | 1 | 0 | 1 | 0.05 | 10% |
Michael E Hint | 1 | 4 | 5 | 0.25 | 40% |
Oliver B Habicht | 0 | 0 | 0 | - | - |
All others: | 0 | 0 | 0 | - | - |
Total | 3 | 7 | 10 | 0.50 |
---------------------------------------------------------------
Tickets resolved in June 2017
- From Frank, 7/13/17
Assumptions for analysis portion
- Since JUST the month of June, simply counted the work days, taking into account staff holidays this month (none): 22 work days.
- See prior analysis if care to have numbers for average number of work days over several months.
Total flow summary: There is an average of over 5.32 tickets resolved by our group each workday, for both Chemistry and Physics.
- We had 117 resolved tickets this month for both Chemistry and Physics.
- At 22 workdays this month: 117 / 22 = ~5.32 resolved tickets per workday.
Chemistry, for this 1 month period:
Flow summary: 100 tickets per month averages to 4.54 tickets resolved 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 | 3 | 11 | 14 | 0.64 | 14.0% |
Michael E Hint | 37 | 24 | 61 | 2.77 | 61.0% |
Oliver B Habicht | 10 | 14 | 24 | 1.1 | 24.0% |
All others: | 0 | 1 | 1 | 0.04 | 1.0% |
Total | 50 | 50 | 100 | 4.35 |
Physics, for this 1 month period:
Flow summary: 17 tickets per month averages to about 0.77 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 |
Kelly Brower | 2 | 1 | 3 | 0.14 | 17.6% |
Lulu Zhu | 1 | 0 | 1 | 0.04 | 0.06% |
Michael E Hint | 4 | 4 | 8 | 0.36 | 0.47% |
Oliver B Habicht | 0 | 5 | 5 | 0.23 | 0.07% |
All others: | 0 | 0 | 0 | - | - |
Total | 7 | 10 | 17 | 0.77 |
---------------------------------------------------------------
Tickets resolved in May 2017
- From Frank, 6/2/17
Assumptions for analysis portion
- Since JUST the month of May, simply counted the work days, taking into account staff holidays this month (Mon. 5/29: Memorial Day): 22 work days.
- See prior work if care to have numbers for average number of work days over several months.
Total flow summary: There is an average of over 4.77 tickets resolved by our group each workday, for both Chemistry and Physics.
- We averaged 105 resolved tickets per month for both Chemistry and Physics.
- At 22 workdays per month: 105 / 22 = ~4.77 resolved tickets per workday.
Chemistry, for this 1 month period:
Flow summary: 92 tickets per month averages to 4.2 tickets resolved 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 | 7 | 9 | 0.41 | 10% |
Michael E Hint | 34 | 25 | 59 | 2.7 | 64% |
Oliver B Habicht | 10 | 13 | 23 | 1.04 | 25% |
All others: | 1 | 1 | 0.04 | 1% | |
Total | 46 | 46 | 92 | 4.2 |
Physics, for this 1 month period:
Flow summary: 13 tickets per month averages to about 0.59 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 |
Kelly Brower | 4 | 2 | 6 | 0.27 | 46% |
Michael E Hint | 2 | 1 | 3 | 0.14 | 23% |
Oliver B Habicht | 3 | 1 | 4 | 0.18 | 30% |
All others: | 0 | 0 | 0 | - | - |
Total | 9 | 4 | 13 | 0.59 |
---------------------------------------------------------------
Tickets resolved in April 2017
- From Frank, 5/2/17
Assumptions for analysis portion
- Since JUST the month of April, simply counted the work days, taking into account no staff holidays this month: 20 work days.
- See prior work if care to have numbers for average number of work days over several months.
Total flow summary: There is an average of over 5.75 tickets resolved by our group each workday, for both Chemistry and Physics.
- We averaged 115 resolved tickets per month for both Chemistry and Physics.
- At 20 workdays per month: 115 / 20 = 5.75 resolved tickets per workday.
Chemistry, for this 1 month period:
Flow summary: 100 tickets per month averages to 5 tickets resolved 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 | 7 | 9 | 0.45 | 9% |
Michael E Hint | 36 | 23 | 59 | 2.9 | 58% |
Oliver B Habicht | 13 | 18 | 31 | 1.55 | 31% |
All others: | 1 | 0 | 1 | 0.1 | 2% |
Total | 52 | 48 | 100 | 5 |
Physics, for this 1 month period:
Flow summary: 15 tickets per month averages to about 0.75 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 |
Kelly Brower | 4 | 3 | 7 | 0.35 | 47% |
Michael E Hint | 2 | 3 | 5 | 0.25 | 33% |
Oliver B Habicht | 0 | 3 | 3 | 0.15 | 20% |
All others: | 0 | 0 | 0 | - | - |
Total | 6 | 9 | 15 | 0.75 |
---------------------------------------------------------------
From Frank, 1/30/17, "Resolved Time Summary per Assignee: 04/01/2016 to 01/01/2017"
...
Assumptions for analysis portion
- In a year, 52 weeks * 5 workdays = 260 workdays/yr. Assume staff have 3 weeks vacation, and 2 weeks University Holidays, so 5 weeks * 5 days = 25 workdays. Thus 235 workdays per year (=260-25).
- 19.6 workdays per month (=235/12). This represents the available FTEs.
Total flow summary: There is an average of over 6.4 tickets resolved by our group each workday,.
- We averaged 138.5 resolved tickets per month.
- Using 21.7 Per above assumption, 19.6 workdays per month, we come up with: 138.5 / 2119.7 6 = ~6~7.4 1 resolved tickets per workday.
- This number assumes (incorrectly!) no holidays observed or vacations taken, both of which reduce the number of workdays available.
Chemistry, for this 8 month period:
Flow summary: 123 tickets per month averages to 56.7 3 tickets resolved 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 | 11.4 | 9% |
Michael E Hint | 285 | 247 | 532 | 66.5 | 54% |
Oliver B Habicht | 132 | 104 | 236 | 29.5 | 24% |
All others: | 66 | 58 | 124 | 15.5 | 13% |
Total | 521 | 462 | 983 | 123 |
Physics, for this 8 month period:
Flow summary: 15.5 tickets per month averages to about 0.7 8 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 | 8.6 | 56% |
Oliver B Habicht | 21 | 14 | 35 | 4.4 | 28% |
All others: | 9 | 12 | 21 | 2.6 | 17% |
Total | 68 | 56 | 124 | 15.5 |
---------------------------------------------------------------
...
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".
...