How is the pass rate calculated?

It's the share of checked items that came back Green. Items flagged Yellow or Red count against the rate, so a high pass rate means most equipment cleared inspection.

Can I sort this table?

Yes — click any column heading to sort by it, and click again to reverse. It's the fastest way to bring the highest or lowest values to the top.

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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Inspection Pass Rate

For each inspector: how many items they checked and what percentage passed.

August 3, 2026

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Feature

Inspections

Viz Type

Table

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.
Date — sets the reporting window, based on when each inspection ran.
User — narrows the card to the team members you select.

How to read it

One row per inspector. Click any column heading to sort by it — useful for finding the highest or lowest values fast.

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The percentage columns are the quickest read; the count columns next to them show the volume those percentages are based on.

What this card shows

Who is inspecting thoroughly, and who may be rushing?
Which locations have the weakest pass rates?
Where are the most issues being caught — or missed?

Columns

Inspector — the team member who ran the inspection.
Location — the name of each of your locations.
Unique Inspections — how many distinct inspection checklists they touched.
Total Runs — the total number of inspection runs.
Total Items Inspected — the total number of items checked.
Issues Found — how many issues were found.
Critical — how many items are flagged Red (Critical).
Needs Attention — how many items are flagged Yellow (Needs Attention).
Passed — how many items passed (Green).
Pass Rate % — the share of checked items that passed, as a percentage.

Questions this answers

Who is inspecting thoroughly, and who may be rushing?
Which locations have the weakest pass rates?
Where are the most issues being caught — or missed?

Why your numbers might differ

Your filters shape everything here. Narrowing the location or date range changes which records are counted, so two people with different filters set will see different figures.
Small numbers swing hard. When a figure is based on only a handful of records, one more or less moves it a lot.

Frequently ask questions