Is there a critical path to deliver Standard data model results?
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59. Is Standard data model currently on schedule according to the plan?
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60. What constraints exist that might impact the team?
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61. Are different versions of process maps needed to account for the different types of inputs?
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62. How did the Standard data model manager receive input to the development of a Standard data model improvement plan and the estimated completion dates/times of each activity?
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63. When is the estimated completion date?
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64. What is the definition of Standard data model excellence?
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65. What defines best in class?
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66. Has the direction changed at all during the course of Standard data model? If so, when did it change and why?
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67. How often are the team meetings?
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68. What are the requirements for audit information?
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69. What are the Standard data model use cases?
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70. Do you have organizational privacy requirements?
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71. Where can you gather more information?
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72. Is there a clear Standard data model case definition?
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73. Is the current ‘as is’ process being followed? If not, what are the discrepancies?
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74. What would be the goal or target for a Standard data model’s improvement team?
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75. What is the scope of the Standard data model work?
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76. Is the work to date meeting requirements?
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77. Is special Standard data model user knowledge required?
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78. Does the scope remain the same?
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79. What key stakeholder process output measure(s) does Standard data model leverage and how?
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80. What is the definition of success?
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81. How do you manage scope?
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82. What is the context?
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83. What is the worst case scenario?
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84. Is Standard data model required?
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85. Have the customer needs been translated into specific, measurable requirements? How?
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86. Has a high-level ‘as is’ process map been completed, verified and validated?
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87. Has the improvement team collected the ‘voice of the customer’ (obtained feedback – qualitative and quantitative)?
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88. How and when will the baselines be defined?
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89. When are meeting minutes sent out? Who is on the distribution list?
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90. What scope to assess?
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91. What is a worst-case scenario for losses?
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92. Do you have a Standard data model success story or case study ready to tell and share?
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93. When is/was the Standard data model start date?
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94. Who approved the Standard data model scope?
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95. What intelligence can you gather?
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96. How do you gather requirements?
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97. What is out-of-scope initially?
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98. What are the Standard data model tasks and definitions?
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99. What customer feedback methods were used to solicit their input?
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100. Who is gathering information?
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101. Is there a Standard data model management charter, including stakeholder case, problem and goal statements, scope, milestones, roles and responsibilities, communication plan?
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102. Has anyone else (internal or external to the group) attempted to solve this problem or a similar one before? If so, what knowledge can be leveraged from these previous efforts?
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103.
