of each activity be dealt with to ensure that the expected Data philanthropy results are met?
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62. Are accountability and ownership for Data philanthropy clearly defined?
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63. How is the team tracking and documenting its work?
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64. How do you manage changes in Data philanthropy requirements?
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65. What happens if Data philanthropy’s scope changes?
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66. Is the Data philanthropy scope manageable?
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67. How do you gather Data philanthropy requirements?
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68. What are the Data philanthropy use cases?
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69. Does the team have regular meetings?
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70. What is a worst-case scenario for losses?
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71. How was the ‘as is’ process map developed, reviewed, verified and validated?
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72. What key stakeholder process output measure(s) does Data philanthropy leverage and how?
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73. What is out-of-scope initially?
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74. Are different versions of process maps needed to account for the different types of inputs?
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75. Do you have organizational privacy requirements?
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76. Are there any constraints known that bear on the ability to perform Data philanthropy work? How is the team addressing them?
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77. Is scope creep really all bad news?
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78. How and when will the baselines be defined?
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79. Do the problem and goal statements meet the SMART criteria (specific, measurable, attainable, relevant, and time-bound)?
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80. What is in scope?
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81. How did the Data philanthropy manager receive input to the development of a Data philanthropy improvement plan and the estimated completion dates/times of each activity?
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82. How do you manage unclear Data philanthropy requirements?
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83. Has a project plan, Gantt chart, or similar been developed/completed?
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84. What are the tasks and definitions?
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85. Has a high-level ‘as is’ process map been completed, verified and validated?
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86. How would you define Data philanthropy leadership?
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87. What system do you use for gathering Data philanthropy information?
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88. What sources do you use to gather information for a Data philanthropy study?
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89. Are roles and responsibilities formally defined?
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90. What is the scope of the Data philanthropy work?
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91. How do you gather requirements?
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92. 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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93. Is there a clear Data philanthropy case definition?
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94. Have all basic functions of Data philanthropy been defined?
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95. What gets examined?
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96. What sort of initial information to gather?
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97. Is the current ‘as is’ process being followed? If not, what are the discrepancies?
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98. Is there a completed SIPOC representation, describing the Suppliers, Inputs, Process, Outputs, and Customers?
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99. How do you build the right business case?
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100. Are the Data philanthropy requirements complete?
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101. What are the record-keeping requirements of Data philanthropy activities?
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102. Has the direction changed at all during the course of Data philanthropy? If so, when did it change and why?
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103. How do you hand over Data philanthropy context?
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104. What customer feedback methods were used to solicit their input?
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105. What are the Data philanthropy
