Support planning deskHistorical evidence workspace

Evidence ready

2019 to 2022 masked public helpdesk records

Prepare the staffing conversation.

Compare independent historical signals, confirm the live context you have, and leave with one defensible question.

Data through
Dec 31, 2022
Observed days
1325
Validation
2022 held out

Scenario

Choose the two contexts under review

These are independent historical summaries, not a joint forecast.

Reset

Weekday demand reference

21.1 mean tickets on Monday

40% above the mean across weekday baselines

Priority resolution reference

501.4 mean hours for Blocker priority, about 20.9 days

36% below the mean across priority baselines

Risk prompt only. Held-out 2022 MAE was 767.7 hours.
Question for the meeting For Monday coverage, how does planned capacity compare with 21.1 historical tickets, and what is driving Blocker priority backlog age?

Daily variation

How much intake moved in the latest 56 observed days

Use the range to discuss volatility, not staffing requirements.

Average20.2

Median23.0

Range1 to 50

WindowNov 3, 2022 to Dec 31, 2022

Across the latest 56 observed days, intake averaged 20.2 tickets, with a median of 23.0 and a range from 1 to 50. The window runs from Nov 3, 2022 through Dec 31, 2022.

Bars matching the selected weekday are emphasized. Baselines use 2019 through 2021; evaluation holds out 2022.

Full reference

Compare every baseline

Selected rows follow the controls above.

Weekday demand

DayHistorical mean tickets
Mon21.1
Tue20.2
Wed19.9
Thu18.0
Fri2.0
Sat2.5
Sun22.0

Priority resolution

PriorityMean resolution hours
Blocker501.4
High794.9
Highest625.4
Low1210.2
Lowest855.7
Medium918.3
unknown612.1

Evidence boundary

Historical context before operational action

Data: Licensed, masked public helpdesk records from 2019 through 2022. No customer records, message text, or source identifiers are displayed.

Method: Weekday and priority means use 2019 through 2021 and are checked against held-out 2022.

Missing: Live arrivals, backlog, staffing schedules, skills, shrinkage, customer outcomes, and SLA commitments.

Use: Frame a question, then validate it against current operations before changing capacity or policy.