Plan delivery evidence for VR training. Review the source, test the destination export, and document settings, evidence, and open risks.
VR training introduces domain constraints that a generic game-asset checklist will miss. Frame delivery evidence around the actual release environment and the people who must trust the result.
For VR training, write pass-or-fail conditions that another reviewer can repeat. Attach the tested file, destination version, observed result, and owner rather than approving the asset from screenshots alone.
Package screenshots, logs, measurements, destination versions, approval notes, and the exact file checksum delivered. Apply this delivery evidence guidance to the actual VR training delivery path.
The safest route is to test the real destination: for VR training, begin with tested file checksum, then test destination version and measurements and logs in the actual destination. Keep the accepted export settings and any unresolved delivery evidence risks with the source file.
For VR training, define the asset, destination, and release condition before editing. Keep a clean source copy and state why tested file checksum is relevant to delivery evidence.
For delivery evidence in VR training, treat unresolved destination version as blocking. Decide whether it needs a technical fix, additional evidence, or a qualified reviewer.
For delivery evidence, require a representative result in VR training, the accepted export settings, and a clear outcome for measurements and logs. Record who approved the final package.
Open the original file before making changes. For VR training, record its format, units, dependencies, and current tested file checksum so the delivery evidence pass has a reliable baseline.
During delivery evidence for VR training, establish the expected state of tested file checksum. Resolve or document any gap before moving on to destination version.
Do not rely on the authoring viewport alone. For delivery evidence, load a representative export in VR training and verify destination version together with measurements and logs.
For VR training, keep the accepted export, its settings, and a short note about unresolved risks. Name the person responsible for the final review of delivery evidence.
| delivery evidence check for VR training | VR training pass condition for delivery evidence | Evidence to keep for VR training delivery evidence |
|---|---|---|
| tested file checksum during delivery evidence for VR training | For VR training delivery evidence, the source and revised asset use an agreed value for tested file checksum. | Keep VR training delivery evidence before-and-after values and the setting that changed. |
| destination version during delivery evidence for VR training | The delivery evidence result for destination version matches the expected behavior in VR training, not only in the editor. | Keep target-side evidence for VR training delivery evidence, such as an import log or captured test. |
| measurements and logs during delivery evidence for VR training | The recorded result for measurements and logs meets the VR training release requirement for this delivery evidence job. | Keep the accepted VR training result and the reviewer name for delivery evidence. |
| approval record after delivery evidence for VR training | The delivery evidence handoff for VR training contains only the files needed downstream. | Keep the VR training export preset, fallback, dependencies, and open risks from delivery evidence. |
During delivery evidence, compare the source and destination values for tested file checksum. Do not continue until the difference is explained and assigned to the asset or the VR training pipeline.
For delivery evidence, capture the VR training result and isolate the responsible layer. A clean authoring preview is not proof when the exported destination version result no longer matches the baseline.
Define an observable delivery evidence result or move the decision to a qualified VR training reviewer. Do not hide an unresolved measurements and logs risk behind a general “ready” status.
For VR training, start with tested file checksum on the untouched source file. It gives you a baseline before the delivery evidence pass changes geometry, materials, metadata, or export settings.
During delivery evidence for VR training, record the source format, units, texture locations, material slots, exporter, destination version, and observed destination version behavior.
The delivery evidence pass is complete when tested file checksum, destination version, and measurements and logs have been tested in VR training, the export opens correctly, and remaining review has an owner.
For VR training, use a qualified reviewer during delivery evidence when measurements and logs cannot be verified automatically or when licensing, device, marketplace, or domain rules affect approval.