LITMIR.BIZ

Скачать книгу

      <--- Score

      71. Is scope creep really all bad news?

      <--- Score

      72. What Revenue Analytics services do you require?

      <--- Score

      73. How do you gather requirements?

      <--- Score

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

      <--- Score

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

      <--- Score

      76. Are resources adequate for the scope?

      <--- Score

      77. Have all of the relationships been defined properly?

      <--- Score

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

      <--- Score

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

      <--- Score

      80. What Revenue Analytics requirements should be gathered?

      <--- Score

      81. Have specific policy objectives been defined?

      <--- Score

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

      <--- Score

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

      <--- Score

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

      <--- Score

      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?

      <--- Score

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

      <--- Score

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

      <--- Score

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

      <--- Score

      89. How do you manage scope?

      <--- Score

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

      <--- Score

      91. Do you have organizational privacy requirements?

      <--- Score

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

      <--- Score

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

      <--- Score

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

      <--- Score

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

      <--- Score

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

      <--- Score

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

      <--- Score

      98. How and when will the baselines be defined?

      <--- Score

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

      <--- Score

      100. How do you manage unclear Revenue Analytics requirements?

      <--- Score

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

      <--- Score

      102. Who is gathering Revenue Analytics information?

      <--- Score

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

      <--- Score

      104. Is there a clear Revenue Analytics case definition?

      <--- Score

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

      <--- Score

      106. The political context: who holds power?

      <--- Score

      107. What defines best in class?

      <--- Score

      108. Are task requirements clearly defined?

      <--- Score

      109. Are roles and responsibilities formally defined?

      <--- Score

      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?

      <--- Score

      111. Does the team have regular meetings?

      <--- Score

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

      <--- Score

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

      <--- Score

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

      <--- Score

      115. How do you gather Revenue Analytics requirements?

      <--- Score

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

      <--- Score

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

      <--- Score

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

      <--- Score

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

      <--- Score

      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?

      <--- Score

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

      <--- Score

      122. How do you catch Revenue Analytics definition inconsistencies?

      <--- Score

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

      <--- Score

      124. What is the worst case scenario?

      <--- Score

      125. What is the context?

      <---

Скачать книгу