Across
- 3. Always ready for a surprise audit
- 5. Where you ask “how bad and how likely?”
- 8. The double-check before trusting the result
- 14. Keeping the whole trial under control
- 16. Following the rules—no exceptions
- 17. Can someone retrace your steps?
- 19. The blueprint of the study
- 22. Can we actually make this work?
- 24. Deciding how you will keep an eye on things
- 26. Sharing what could go wrong with others
- 28. Data that tells the true story
- 29. The big system that keeps trials on track
- 30. Letting numbers reveal hidden issues
Down
- 1. Focusing on what matters most
- 2. Following the data trail back to origin
- 4. How much deviation is acceptable?
- 6. Not too much, not too little—just right
- 7. Watching over everything… like a safety net
- 9. Checking if your risks are still valid
- 10. The data you cannot afford to lose
- 11. What really matters (no shortcuts allowed)
- 12. Your game plan against risks
- 13. The independent “are we doing it right?”
- 15. Watch data without visiting sites
- 18. Steps that must go right every time
- 20. Spotting trouble before it happens
- 21. Making things easier without losing quality
- 23. Deciding which risks deserve attention first
- 25. The number one priority, always
- 27. Your plan to keep risks under control (literally)