What data collected during re-entry helps inform future training?

• A. Visible signs of fatigue observed during re-entry.
• B. Readouts, times, durations, near misses, and outcomes.
• C. Historical weather patterns.
• D. Crew travel logs.

Answer: (B)

Capturing objective, event-specific data during re-entry is essential because it creates a concrete record of how the operation actually performed and what needs training. Readouts show system status and any alerts, giving insight into hardware or software behavior under re-entry conditions. Times and durations document the sequencing and pacing of procedures, helping identify delays, bottlenecks, or timing errors. Near misses highlight vulnerabilities and show how effective protective measures or procedures were in preventing problems. Outcomes summarize results and point to what worked well versus what needs correction, guiding targeted improvements for future training and checklists.

These data points are specifically gathered during the re-entry itself and translate directly into actionable training insights. Other things like subjective signs of fatigue, historical weather patterns, or crew travel logs may influence training decisions, but they don’t constitute the structured re-entry performance data that informs how to train for future re-entries.