Revenue Analytics A Complete Guide - 2020 Edition. Gerardus Blokdyk

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      71. Is scope creep really all bad news?

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      72. What Revenue Analytics services do you require?

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      73. How do you gather requirements?

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

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      75. Are audit criteria, scope, frequency and methods defined?

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      76. Are resources adequate for the scope?

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      77. Have all of the relationships been defined properly?

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      78. Will a Revenue Analytics production readiness review be required?

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      79. Is Revenue Analytics currently on schedule according to the plan?

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      80. What Revenue Analytics requirements should be gathered?

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      81. Have specific policy objectives been defined?

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      82. Has everyone on the team, including the team leaders, been properly trained?

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

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      84. How will the Revenue Analytics team and the group measure complete success of Revenue Analytics?

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      85. Has the Revenue Analytics 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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      86. What are the compelling stakeholder reasons for embarking on Revenue Analytics?

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      87. Who are the Revenue Analytics improvement team members, including Management Leads and Coaches?

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      88. When are meeting minutes sent out? Who is on the distribution list?

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      89. How do you manage scope?

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

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      91. Do you have organizational privacy requirements?

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      92. When is/was the Revenue Analytics start date?

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      93. What baselines are required to be defined and managed?

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      94. What customer feedback methods were used to solicit their input?

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      95. Is there a completed, verified, and validated high-level ‘as is’ (not ‘should be’ or ‘could be’) stakeholder process map?

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      96. Do you have a Revenue Analytics success story or case study ready to tell and share?

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      97. Is the Revenue Analytics scope complete and appropriately sized?

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      98. How and when will the baselines be defined?

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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 do you manage unclear Revenue Analytics requirements?

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

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      102. Who is gathering Revenue Analytics information?

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      103. How do you manage changes in Revenue Analytics requirements?

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      104. Is there a clear Revenue Analytics case definition?

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      105. Is there a completed SIPOC representation, describing the Suppliers, Inputs, Process, Outputs, and Customers?

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      106. The political context: who holds power?

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      107. What defines best in class?

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      108. Are task requirements clearly defined?

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      109. Are roles and responsibilities formally defined?

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      110. 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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      111. Does the team have regular meetings?

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      112. What key stakeholder process output measure(s) does Revenue Analytics leverage and how?

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      113. Do the problem and goal statements meet the SMART criteria (specific, measurable, attainable, relevant, and time-bound)?

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      114. What system do you use for gathering Revenue Analytics information?

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      115. How do you gather Revenue Analytics requirements?

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      116. What sources do you use to gather information for a Revenue Analytics study?

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      117. Is there any additional Revenue Analytics definition of success?

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      118. What specifically is the problem? Where does it occur? When does it occur? What is its extent?

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      119. What happens if Revenue Analytics’s scope changes?

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      120. What are the boundaries of the scope? What is in bounds and what is not? What is the start point? What is the stop point?

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      121. Has the direction changed at all during the course of Revenue Analytics? If so, when did it change and why?

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      122. How do you catch Revenue Analytics definition inconsistencies?

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      123. Has a project plan, Gantt chart, or similar been developed/completed?

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      124. What is the worst case scenario?

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      125. What is the context?

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