Where software can remove repeat work and make common stack-testing handoffs more dependable.
The field workflow has too many handoffs for memory alone
A stack test can involve method selection, loadout, site measurements, calculations, calibration gases, analyzer data, run timing, sample recovery, QA checks, notes, and client-specific requirements.
Method-aware planning helps before the test
A system can use the selected methods to show relevant equipment, setup information, calculations, and run requirements instead of relying on one generic checklist.
Run-level QA makes problems visible earlier
Spot checks, calibration information, bias, RATA comparisons, and run status are more useful in the field than after the crew has demobilized.
Reporting should reuse field data
Every value that gets retyped after the job is another chance for a mistake. Connecting the field workflow to QA/QC and reporting is where the biggest operational gains can happen.
If this sounds like the workflow your team is fighting, document where the information starts, where it gets entered again, and what the final deliverable should look like. That is enough to start scoping a better system.