Template Library
Gage R&R / MSA Study Template
An Excel workbook that runs a full crossed Gage R&R study using the AIAG Average-Range method — enter the raw readings and EV, AV, GRR, PV, TV, %Study Variation, %Tolerance, and ndc calculate automatically.
Two operators, five parts, three trials each: enter the 30 readings and the workbook does the rest, including the K1/K2/K3 constant lookups the Average-Range method depends on. The result set separates repeatability (equipment) from reproducibility (appraiser) and gives both a %Study Variation and %Tolerance verdict, since the two can disagree.
What Is Included in the Workbook
| Sheet | Purpose | What Teams Capture |
|---|---|---|
| How-To | Method guidance and orientation | How the study should be run and how to read the results |
| Study Setup | Header information | Gage ID, characteristic, tolerance, operator names, part count, and trial count |
| Data Collection | Raw reading entry | 30 readings (2 operators x 5 parts x 3 trials), with automatic per-operator averages and ranges |
| GRR Calculations | Automatic AIAG calculation | EV, AV, GRR, PV, TV, %Study Variation, %Tolerance, ndc, and pass/fail verdicts |
| Constants Reference | Lookup tables | K1 (by trials), K2 (by operators), and K3 (by parts) constants |
How the Workbook Is Structured
The Data Collection tab lays out each operator's three trials as rows against the parts as columns, matching how a real blind study is actually recorded on the floor. From there, the workbook builds R-bar per operator, R-double-bar, the operator averages needed for AV, and the range of part averages (Rp) needed for PV — all before the GRR Calculations tab ever touches a formula.
The GRR Calculations tab pulls K1, K2, and K3 automatically from the Constants Reference tab based on the trial, operator, and part counts entered in Study Setup, so the study scales correctly without hand-copying constants from a table.
Key Features Inside the Template
Full AIAG Average-Range Method
EV, AV, GRR, PV, TV, %Study Variation, %Tolerance, and ndc all calculate from the raw readings, not summary inputs.
Automatic K1/K2/K3 Lookup
Constants pull automatically based on the trial, operator, and part counts entered, reducing manual table errors.
Two Verdicts, Side by Side
%Study Variation and %Tolerance are scored independently, since a gage can look acceptable on one and not the other.
Blind-Study Layout
The data entry grid mirrors how a real crossed study is recorded, operator by operator, trial by trial.
Best Use Cases
- Qualifying a new or repaired gage before production use
- Periodic re-verification of measurement systems on critical characteristics
- Investigating a suspected measurement problem behind inconsistent inspection results
- Training quality technicians on the mechanics of a Gage R&R study
How to Use the Template Effectively
- Randomize the order parts are presented to each operator, and keep operators blind to each other's readings.
- Fill in the Study Setup tab completely before entering readings — the constant lookups depend on it.
- Enter all 30 readings before reviewing any result — partial data will produce misleading intermediate numbers.
- Review both %Study Variation and %Tolerance, not just one, before accepting or rejecting the gage.
- If ndc falls below 5, treat the gage as unable to distinguish parts reliably, regardless of the %GRR result.
Who Should Use This Template
- Quality engineers and metrology technicians qualifying gages
- Manufacturing engineers investigating inconsistent inspection results
- ASQ CQE and Six Sigma Green/Black Belt candidates learning MSA mechanics
Common Mistakes to Avoid
- Letting operators see each other's readings, which defeats the point of a blind study
- Choosing study parts that don't span the real range of production variation
- Accepting a gage based on %Study Variation alone without also checking %Tolerance
Example Filled-Out Case
Example: Two operators each measure the same 5 bore-diameter housings for 3 trials on a digital bore gage. The workbook calculates EV, AV, and GRR from the raw readings, then flags a disagreement between %Study Variation (borderline acceptable) and %Tolerance (unacceptable) — exactly the kind of split verdict the MSA guide walks through by hand.
Related Guides and Tools
Read the MSA & Gage R&R Guide
The full Average-Range method worked by hand, plus the K1/K2/K3 constants tables this template automates.
Use the MSA / Gage R&R Studio
Run a crossed Gage R&R study interactively in the browser without downloading a file.
Use the Process Capability Study Data Sheet
Rule out a bad gage before trusting a Cpk or Ppk result on the same characteristic.
Read the OEE Guide
See why a low Quality factor is worth checking against the measurement system first.
Gage R&R / MSA Study Template Frequently Asked Questions
Why do %Study Variation and %Tolerance sometimes disagree?
%Study Variation compares GRR against the total variation observed in the study's own parts. %Tolerance compares GRR against the print tolerance. If the study parts don't span the full range of real production variation, these two numbers can tell different stories about the same gage.
What does it mean when AV calculates to zero?
The Average-Range method's AV formula can produce a negative value under the square root when appraiser differences are small relative to equipment variation. The workbook floors this at zero, which is standard practice and simply means reproducibility isn't a measurable contributor for this study.
What ndc value is considered acceptable?
A number of distinct categories of 5 or more is generally considered acceptable, meaning the gage can reliably distinguish at least 5 groups within the observed part variation. Below 5 usually means the gage can only sort parts into pass/fail rather than provide a useful measurement scale.
Can this template be used for more than 2 operators or 5 parts?
The built-in K2 and K3 constants cover the standard 2-3 operator and 2-10 part AIAG reference ranges. Add columns for more parts or additional operator blocks for more operators, and look up the matching K2/K3 constants from a full AIAG MSA reference table.