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Task Completion Pivot — Company & Location by Month (End-User)

Task Completion Pivot — Company & Location by Month (End-User)

Completed versus due tasks by location, broken out by month.

August 3, 2026
ID
1264
Feature
Tasks
Viz Type
Pivot
Filters
Company
/
Location
/
User
/
Date
Company — applied automatically. You only ever see your own company's data.
Location — narrows what you see to the locations you select.
How to read it

A grid: rows are one grouping, columns another, and each cell is where the two meet. Totals run along the edges.

‍

Read across a row to compare one group over the columns, or down a column to compare across groups.

What this card shows
  • Which locations are keeping up, and which are falling behind?
  • Is completion improving month over month?
  • Where are things being finished, but late?
Columns
  • Sum of completed — the total number completed across the grouped rows.
  • Sum of total_due — the total number that came due across the grouped rows.
  • Average of completion_rate — the average completion rate across the grouped rows.
Questions this answers
  • Which locations are keeping up, and which are falling behind?
  • Is completion improving month over month?
  • Where are things being finished, but late?
Why your numbers might differ
  • Only eligible tasks count. Tasks that were never due in the window — upcoming or not yet scheduled — aren't part of the rate.
  • Only team members with activity appear. Someone with nothing to show for the period won't have a row.
Frequently ask questions
How do I read this pivot?

It compares completed tasks against tasks that came due, broken out by the row and column groupings. Each cell is where a location (and month, where shown) meet.

How do I read the grid?

Rows are one grouping and columns another; each cell is where they meet. Read across a row to follow one group, or down a column to compare groups.

Why can a small location show an extreme percentage?

Percentages swing hard on small numbers. A location with only a handful of records can read 0% or 100% on a single result, so read the rate alongside the count it's based on.

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