100 AI Prompts for Decision Audits and Post-Mortems

1. What was the original objective of this decision?

2. Which assumptions underpinned the decision?

3. How accurate were the initial predictions?

4. What data informed the decision, and was it reliable?

5. Were key risks identified before the decision was made?

6. What alternative options were considered?

7. How were trade-offs evaluated?

8. Were deadlines or time pressures influencing the decision?

9. Which stakeholders influenced the outcome?

10. How effective was communication during the decision-making process?

11. Were any cognitive biases present?

12. Did external events affect the outcome?

13. How aligned was the decision with organizational goals?

14. Were resources adequate to support the decision?

15. How transparent was the decision-making process?

16. Which risks materialized unexpectedly?

17. Which risks were overestimated?

18. Which assumptions were incorrect?

19. How did competitor actions impact the result?

20. What operational bottlenecks influenced the outcome?

21. Did technology constraints affect performance?

22. How well were contingencies planned?

23. Were feedback loops established during execution?

24. Did the decision trigger unintended consequences?

25. How could early warning signs have been identified?

26. Were lessons from past decisions applied?

27. How was performance measured post-decision?

28. What metrics failed to reflect reality?

29. Were stakeholders satisfied with the outcome?

30. Did resource allocation match expectations?

31. Which processes slowed implementation?

32. Were external dependencies overlooked?

33. How did market conditions affect the decision?

34. Was risk appetite properly assessed?

35. Which internal conflicts influenced the outcome?

36. Were legal or compliance issues anticipated?

37. How did cultural factors shape the decision?

38. Were incentives aligned with desired outcomes?

39. Did the team follow established protocols?

40. How adaptable was the decision when conditions changed?

41. Were key performance indicators monitored in real-time?

42. What feedback was ignored or missed?

43. Were lessons from failed experiments applied?

44. Did the decision improve organizational knowledge?

45. Which assumptions would have changed the outcome if altered?

46. How did communication breakdowns affect results?

47. Were decision-making roles clearly defined?

48. How could the process be improved for future decisions?

49. Did the team overreact to external pressures?

50. Were resources reallocated effectively during execution?

51. How did timing affect the decision?

52. Were data gaps adequately addressed?

53. Did any bias in prioritization affect outcomes?

54. Were unforeseen costs incurred?

55. Did the decision achieve expected ROI?

56. How did risk mitigation strategies perform?

57. Were alternative scenarios tested before execution?

58. How did technology support or hinder the decision?

59. Which external stakeholders were overlooked?

60. How did leadership decisions influence results?

61. Were warning signals ignored or misinterpreted?

62. Did the decision create operational redundancies?

63. How well was knowledge documented for future use?

64. Were ethical considerations adequately weighed?

65. Did the decision reveal hidden system constraints?

66. Which dependencies created fragility?

67. Were monitoring processes effective during implementation?

68. How could decision-making speed be optimized next time?

69. Were human factors considered sufficiently?

70. How did communication with external partners perform?

71. Were assumptions about customer behavior correct?

72. Which environmental factors were underestimated?

73. How did competitive actions influence results?

74. Were contingency plans executed effectively?

75. Did risk thresholds align with organizational goals?

76. Which strategic assumptions proved wrong?

77. How effective were internal audits during implementation?

78. Were lessons from similar industries applied?

79. How could cross-functional collaboration improve next time?

80. Did external regulations affect the outcome unexpectedly?

81. Were financial assumptions validated effectively?

82. Which risks were ignored due to overconfidence?

83. How well were decision trade-offs communicated?

84. Which decision stages caused the most delays?

85. Were project milestones realistic?

86. Did monitoring processes detect early failures?

87. Were corrective actions timely and effective?

88. Did team performance align with expectations?

89. How did leadership influence risk-taking?

90. Were key decision documents adequately maintained?

91. How did external market shocks affect assumptions?

92. Were lessons from this decision shared organization-wide?

93. Which assumptions would be tested differently next time?

94. How could stakeholder alignment be improved?

95. Were decision audit tools used effectively?

96. Which human or cognitive errors contributed most?

97. How would hindsight change the original choice?

98. Did post-mortem findings inform policy changes?

99. How can decision-making resilience be strengthened?

100. Which practices from this decision should become standard for future audits?