Sampling trips without drowning in exports
Why eighty carefully chosen trips beat ten thousand unexplained rows when you review logistics tracking app analytics.
Huge exports feel thorough and often hide the story. For a Performance Review we prefer a defended sample: peak hours, quiet hours, multi-stop industrial runs, and at least one festive or weather-affected day if the calendar offers it.
Give each trip a reason for inclusion. “Tuesday 07:00 Port Klang outbound with three estate stops” is a reason; “row 18442” is not. When findings point to a metric failure, you can reopen that trip with the supervisor and show the same timeline the app used.
If your vendor only allows screenshots, photograph the same fields consistently — timestamps, vehicle ID, stop sequence, exception code — so the sample stays comparable. Thin exports lengthen the calendar, but a smaller honest sample still beats a warehouse of unlabelled files.