Review calibration outputs
Do not assume that a completed ingest automatically means you should trust the calibration.
This step is about deciding whether the results look usable.
What to review first
Look at the dataset summary and ask:
- does the dataset seem substantial enough to be informative?
- does the terrain coverage look broad enough to matter?
- does the heart-rate coverage look usable rather than sparse?
- does the dataset still look representative of the trip style you care about?
What you are trying to decide
You are not looking for perfection.
You are deciding whether the outputs look:
- believable
- representative
- worth previewing on a real route
Signs the calibration may be weak
Be cautious if:
- the dataset looks too small or too narrow
- the files mostly reflect a different activity type
- the outputs appear inconsistent with how you know you usually move
What to do next
If the outputs look believable, preview them on a route and compare before and after.
If the outputs look weak, improve the dataset first instead of forcing the calibration into your planning workflow.
Read next:
- Compare route outputs before and after calibration
- Saved calibration profiles versus preview
- Apply calibration to a route