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Plan the whole week in fifteen minutes

Plan the whole week in fifteen minutes
5
min read
·
Feb 2026
The Sunday-night route plan

Plan the week in fifteen minutes instead of three hours.

The Sunday-night route plan

Sunday night planning is a symptom. If the week has to be rebuilt by hand every seven days, the recurring schedule isn’t doing its job. This is the sequence that turns three hours into fifteen minutes — and then into nothing.

The fifteen-minute version

1
Read the week as capacity

Open the heatmap before anything else. You are looking for red days and the light days near them.

2
Move the overload

Swap stops between an overloaded day and a light one in the same area. Geography first, availability second.

3
Place the new work

Draw around the cluster the new property sits in, see what is already nearby, assign the tech and the day.

4
Optimize, then save

Let the system order every day you touched. Do not hand-sequence.

What to look at, in order

Red days. Anything at or over capacity. Each one is a promise you are about to break — either a late visit or an unpaid hour.

White days. Empty capacity next to a red day is free money. Most overload is a scheduling artefact, not a staffing problem.

Unassigned properties. Work that exists but sits on no route. This is where missed visits come from.

Last week’s exceptions. Skipped stops, gate-locked visits, anything that didn’t close. These need a decision, not a repeat.

You are not building a week. You are correcting the four or five places where the recurring schedule drifted.

How to stop needing Sunday at all

Every hour of Sunday planning maps to something that should be configured rather than decided:

  • Sequencing stops → run optimization on save, every time.
  • Deciding who takes a new client → place by cluster when the property is created.
  • Chasing what happened last week → read it from visit history on Monday morning.
  • Guessing capacity → set each technician’s general capacity once, so the heatmap means something.

Capacity configuration is in Assigning tech working capacity; the drawing workflow is in Quick Routes™; the underlying reasoning is in routing math.

Based on how PSS clients describe their planning routine, not a published study.

Sunday night planning is a symptom. If the week has to be rebuilt by hand every seven days, the recurring schedule isn’t doing its job. This is the sequence that turns three hours into fifteen minutes — and then into nothing.

The fifteen-minute version

1
Read the week as capacity

Open the heatmap before anything else. You are looking for red days and the light days near them.

2
Move the overload

Swap stops between an overloaded day and a light one in the same area. Geography first, availability second.

3
Place the new work

Draw around the cluster the new property sits in, see what is already nearby, assign the tech and the day.

4
Optimize, then save

Let the system order every day you touched. Do not hand-sequence.

What to look at, in order

Red days. Anything at or over capacity. Each one is a promise you are about to break — either a late visit or an unpaid hour.

White days. Empty capacity next to a red day is free money. Most overload is a scheduling artefact, not a staffing problem.

Unassigned properties. Work that exists but sits on no route. This is where missed visits come from.

Last week’s exceptions. Skipped stops, gate-locked visits, anything that didn’t close. These need a decision, not a repeat.

You are not building a week. You are correcting the four or five places where the recurring schedule drifted.

How to stop needing Sunday at all

Every hour of Sunday planning maps to something that should be configured rather than decided:

  • Sequencing stops → run optimization on save, every time.
  • Deciding who takes a new client → place by cluster when the property is created.
  • Chasing what happened last week → read it from visit history on Monday morning.
  • Guessing capacity → set each technician’s general capacity once, so the heatmap means something.

Capacity configuration is in Assigning tech working capacity; the drawing workflow is in Quick Routes™; the underlying reasoning is in routing math.

Based on how PSS clients describe their planning routine, not a published study.

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