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      61. What is the context?

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      62. Are accountability and ownership for Functional data analysis clearly defined?

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      63. What is the worst case scenario?

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      64. Will a Functional data analysis production readiness review be required?

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      65. Have all basic functions of Functional data analysis been defined?

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      66. Is the improvement team aware of the different versions of a process: what they think it is vs. what it actually is vs. what it should be vs. what it could be?

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      67. How do you keep key subject matter experts in the loop?

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      68. When is the estimated completion date?

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      69. What is in scope?

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      70. Is the current ‘as is’ process being followed? If not, what are the discrepancies?

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      71. Are required metrics defined, what are they?

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      72. Has the improvement team collected the ‘voice of the customer’ (obtained feedback – qualitative and quantitative)?

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      73. Have specific policy objectives been defined?

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      74. What gets examined?

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      75. What are the record-keeping requirements of Functional data analysis activities?

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      76. What is the scope?

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      77. What is the scope of Functional data analysis?

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      78. What information do you gather?

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      79. The political context: who holds power?

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      80. How will the Functional data analysis team and the group measure complete success of Functional data analysis?

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      81. Does the scope remain the same?

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      82. What is the scope of the Functional data analysis effort?

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      83. Where can you gather more information?

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      84. What scope do you want your strategy to cover?

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      85. What are the tasks and definitions?

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      86. Is it clearly defined in and to your organization what you do?

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      87. What are the dynamics of the communication plan?

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      88. Are all requirements met?

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      89. 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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      90. Is data collected and displayed to better understand customer(s) critical needs and requirements.

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      91. Is scope creep really all bad news?

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      92. What happens if Functional data analysis’s scope changes?

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      93. Is there a Functional data analysis management charter, including stakeholder case, problem and goal statements, scope, milestones, roles and responsibilities, communication plan?

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      94. How do you gather Functional data analysis requirements?

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      95. In what way can you redefine the criteria of choice clients have in your category in your favor?

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      96. What sort of initial information to gather?

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      97. How is the team tracking and documenting its work?

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      98. Who is gathering Functional data analysis information?

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      99. Are different versions of process maps needed to account for the different types of inputs?

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      100. How would you define Functional data analysis leadership?

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      101. Have all of the relationships been defined properly?

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      102. What constraints exist that might impact the team?

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      103. How did the Functional data analysis manager receive input to the development of a Functional data analysis improvement plan and the estimated completion dates/times of each activity?

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      104. If substitutes have been appointed, have they been briefed on the Functional data analysis goals and received regular communications as to the progress to date?

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      105. Is Functional data analysis required?

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      106. Has the Functional data analysis work been fairly and/or equitably divided and delegated among team members who are qualified and capable to perform the work? Has everyone contributed?

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      107. What are the Functional data analysis use cases?

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      108. What is out of scope?

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      109. Has a Functional data analysis requirement not been met?

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      110. How was the ‘as is’ process map developed, reviewed, verified and validated?

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      111. What would be the goal or target for a Functional data analysis’s improvement team?

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      112. What key stakeholder process output measure(s) does Functional data analysis leverage and how?

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      113. Are approval levels defined for contracts and supplements to contracts?

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      114. How do you manage changes in Functional data analysis requirements?

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      115. Will team members regularly document their Functional data analysis work?

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