Job Scheduling & Milestone Info, Task Pay Info, Tasks General, and Unexpected Orders — Ogden Division, joined job-by-job
Methodology — where "on time" comes from
"Target End Date" is pulled from TrackVia's Job Scheduling & Milestone Info report (falling
back to Original Target End Date when the current target isn't set) — this is Cascade's own internal
schedule commitment, not the builder-facing Client End Date, which typically has a few extra days of
slack built in. "On time" means the job's Major Tasks Completion Date fell on or before that target.
Any overage, even a single day, is currently scored as "Late" — there's no grace window built in today.
1. How close are we, really?
Ogden's job volume ramped up steadily — the first sustained month with meaningful volume (10+ scored jobs)
was 2026-01. Everything below uses 2026-01 through the most recent complete data (274 jobs) —
earlier months are excluded because 1-5 jobs/month isn't a meaningful on-time rate.
135
On time (49%)
139
Late (51%)
10.4
Avg days late (late jobs)
7
Median days late
Verified again, with more history: since 2026-01, on-time performance has held
in the 49% range essentially every month — this isn't a one-off bad quarter, it's the
steady state. And it's not a "single day over" problem: only 19 of 139 late jobs
(14%) missed by just 1-2 days. Most late jobs are late by a lot.
How late, when late?
Days over target
Jobs
% of late jobs
1-2 days
19
13.7%
3-5 days
33
23.7%
6-10 days
38
27.3%
11-20 days
32
23.0%
21+ days
17
12.2%
2. A data quality flag before the diagnosis
Your instinct about the hours-worked stat was right. 31% of all logged task duration
records (Start Date/Time to Completed Date/Time) come back as exactly 0 hours — a strong sign that
crews are logging the start timestamp at the same time as completion rather than when work actually began.
That makes raw "hours worked per task" unreliable at the individual-task level. To work around it, the
analysis below leans on completion-to-completion gaps (how much calendar time passes between one
logged task finishing and the next one finishing) instead of task duration — that signal survives the
bad start-time data because it only depends on completion timestamps, which crews log more reliably.
3. Where the time actually goes: idle time between tasks
Restricted to tasks completed on or before each job's Major Tasks Completion Date, so warranty/VPO/
punch-list work that happens weeks later doesn't distort the picture.
42 days
Avg total idle time — Late jobs
28 days
Avg total idle time — On-time jobs
Late jobs spend about 14 more days sitting idle between task
completions than on-time jobs do — this is the clearest, most consistent signal in the data. It's not that
crews take longer on any one task; it's the waiting between tasks that adds up.
Handoffs with the biggest late-vs-on-time gap (min. 5 jobs each side)
Task handoff
Avg gap — Late
Avg gap — On time
Difference
Rock → Vinyl
13.9d (6)
8.5d (5)
+5.4d
Rock → Soffit/Fascia
7.2d (8)
2.6d (14)
+4.5d
Gutters → Paint
6.5d (7)
3.4d (18)
+3.1d
Soffit/Fascia → Remove Tarps
5.4d (6)
2.5d (6)
+2.9d
Set Scaff → Siding
5.0d (5)
2.5d (6)
+2.5d
Siding → Set Tarps
5.2d (11)
3.1d (6)
+2.1d
Housewrap → Paper/Wire
2.7d (56)
0.9d (30)
+1.7d
Soffit/Fascia → Stucco Color
3.7d (26)
2.2d (24)
+1.5d
Paper/Wire → Scratch Coat
5.6d (19)
4.1d (24)
+1.5d
Siding → Vinyl
1.5d (5)
0.0d (5)
+1.5d
4. Common denominators checked
Factor
Late jobs
On-time jobs
Verdict
Avg # unexpected/will-call POs
6.0
4.7
Real signal — late jobs order more
Avg unexpected PO $ spend
$1,545
$1,062
Real signal — late jobs cost more in will-calls
Avg job-start slip vs. original
3.5d
5.8d
Not a driver — on-time jobs start just as late
Idle time between tasks (core sequence)
42d
28d
Strongest signal
Jobs with a task at 2x+ typical duration
83%
86%
Inconclusive — duration data too noisy (see above)
Bottom line: the clearest common denominator on late jobs is idle time between tasks, not any single
task running long. Extra will-call POs travel with lateness too — consistent with the Meritage Westwood
Estates siding-reorder pattern you flagged earlier. Starting late isn't the problem; on-time jobs start
just as behind schedule as late ones do. What differs is what happens in the middle.