Skip to main content
QualTrue
For QA Managers

Inspection Record Completeness Score

How complete are your inspection records? Pull a sample of recent records, count how many are missing each required element, and get a completeness score — plus which gaps show up most, before an auditor or customer finds them.

Your Sample

records

How many recent inspection records you reviewed. 25–50 is a practical sample.

/mo

Used only to project your sample's results onto a typical month.

records

Who performed the inspection and when.

records

Part number, lot, serial, or job — whatever ties the record to the product.

records

Required readings, values, or pass/fail results left blank or unreadable.

records

Required photos, attachments, or supporting documents not with the record.

records

No documented QA approval, rejection, or reviewer sign-off.

Your Score

Completeness score

89.6%

26 of 250 required elements missing

Most-missed element

Photos & evidence

Missing from 18% of records

Fully complete records

48–82%

Range — see how the score works

Projected incomplete records

144–416/mo

At your monthly inspection volume

Where the gaps are

Photos & evidence9 of 50 missing (18%)
Measurements & results6 of 50 missing (12%)
QA review & sign-off5 of 50 missing (10%)
Part / lot identification4 of 50 missing (8%)
Inspector name & date2 of 50 missing (4%)

If the most-missed gaps were closed

  • Photos & evidence93.2% score
  • Photos & evidence + Measurements & results95.6% score
  • Photos & evidence + Measurements & results + QA review & sign-off97.6% score

Illustrative scenarios based on your sample — they show how the score would change if these gaps were closed, not a forecast or a guarantee.

How the score works

This tool is for QA managers and quality teams who want a quick, honest read on inspection record quality. It checks five elements most inspection records need: inspector name and date, part or lot identification, measurements and results, required photos or evidence, and QA review/sign-off.

Completeness score = required elements present ÷ required elements expected across the sample. With 50 records and 5 elements, that's 250 expected elements — if 26 are missing, the score is 224 ÷ 250 = 89.6%.

Counting gaps per element doesn't tell you whether one record is missing several things or several records are missing one thing each, so the share of fully complete records is shown as a range. The best case assumes gaps overlap on the same records; the worst case assumes every gap is on a different record. The monthly projection applies that same range to your monthly inspection volume.

The score is only as good as the sample. Pick recent records at random rather than the ones you already know are good or bad.

Realistic example

A QA manager pulls 50 recent inspection records and finds 2 missing the inspector or date, 4 missing a lot number, 6 missing measurements, 9 missing required photos, and 5 without QA sign-off. That's 26 missing elements out of 250 — a completeness score of about 90%. Between 48% and 82% of the sampled records are fully complete, which at 800 inspections a month means roughly 144 to 416 incomplete records a month. Photos are the most-missed element, so that's the first gap worth closing.

Know what's missing before someone asks for the record.

QualTrue keeps the inspection record together, from the shop floor through QA review — see how it works.