Читать книгу Data Philanthropy A Complete Guide - 2020 Edition - Gerardus Blokdyk - Страница 8
ОглавлениеCRITERION #2: DEFINE:
INTENT: Formulate the stakeholder problem. Define the problem, needs and objectives.
In my belief, the answer to this question is clearly defined:
5 Strongly Agree
4 Agree
3 Neutral
2 Disagree
1 Strongly Disagree
1. What scope do you want your strategy to cover?
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2. What Data philanthropy services do you require?
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3. Has a Data philanthropy requirement not been met?
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4. Has the Data philanthropy 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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5. What baselines are required to be defined and managed?
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6. What are the compelling stakeholder reasons for embarking on Data philanthropy?
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7. What was the context?
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8. How do you gather the stories?
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9. Are approval levels defined for contracts and supplements to contracts?
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10. Have the customer needs been translated into specific, measurable requirements? How?
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11. What are the rough order estimates on cost savings/opportunities that Data philanthropy brings?
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12. Has your scope been defined?
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13. Has everyone on the team, including the team leaders, been properly trained?
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14. Have specific policy objectives been defined?
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15. What is the worst case scenario?
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16. What information should you gather?
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17. Is special Data philanthropy user knowledge required?
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18. How can the value of Data philanthropy be defined?
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19. What scope to assess?
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20. How do you catch Data philanthropy definition inconsistencies?
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21. Has a team charter been developed and communicated?
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22. How have you defined all Data philanthropy requirements first?
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23. What specifically is the problem? Where does it occur? When does it occur? What is its extent?
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24. What are the requirements for audit information?
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25. Will a Data philanthropy production readiness review be required?
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26. Are there different segments of customers?
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27. Are required metrics defined, what are they?
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28. Are the Data philanthropy requirements testable?
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29. When is/was the Data philanthropy start date?
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30. What is out of scope?
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31. When is the estimated completion date?
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32. How do you manage scope?
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33. 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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34. What is the context?
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35. Is there a critical path to deliver Data philanthropy results?
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36. What is in the scope and what is not in scope?
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37. How often are the team meetings?
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38. Do you have a Data philanthropy success story or case study ready to tell and share?
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39. When are meeting minutes sent out? Who is on the distribution list?
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40. Is the scope of Data philanthropy defined?
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41. What is the definition of Data philanthropy excellence?
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42. Who are the Data philanthropy improvement team members, including Management Leads and Coaches?
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43. Scope of sensitive information?
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44. Is Data philanthropy required?
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45. What intelligence can you gather?
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46. Is the work to date meeting requirements?
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47. How do you keep key subject matter experts in the loop?
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48. What is the scope of the Data philanthropy effort?
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49. How does the Data philanthropy manager ensure against scope creep?
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50. Who is gathering information?
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51. What critical content must be communicated – who, what, when, where, and how?
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52. How would you define the culture at your organization, how susceptible is it to Data philanthropy changes?
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53. What Data philanthropy requirements should be gathered?
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54. Is Data philanthropy currently on schedule according to the plan?
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55. Why are you doing Data philanthropy and what is the scope?
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56. Has/have the customer(s) been identified?
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57. Is there any additional Data philanthropy definition of success?
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58. Do you all define Data philanthropy in the same way?
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59. Has the improvement team collected the ‘voice of the customer’ (obtained feedback – qualitative and quantitative)?
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60. Who approved the Data philanthropy scope?
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61. How will variation in the actual durations 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 tasks and definitions?
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106. The political context: who holds power?
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107. Who is gathering Data philanthropy information?
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108. Who defines (or who defined) the rules and roles?
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109. Is the Data philanthropy scope complete and appropriately sized?
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110. What are the core elements of the Data philanthropy business case?
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111. Is it clearly defined in and to your organization what you do?
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112. What defines best in class?
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113. Are task requirements clearly defined?
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114. Have all of the relationships been defined properly?
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115. 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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116. If substitutes have been appointed, have they been briefed on the Data philanthropy goals and received regular communications as to the progress to date?
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117. What information do you gather?
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118. Are resources adequate for the scope?
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119. How will the Data philanthropy team and the group measure complete success of Data philanthropy?
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120. What are (control) requirements for Data philanthropy Information?
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121. What constraints exist that might impact the team?
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122. Does the scope remain the same?
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123. Is Data philanthropy linked to key stakeholder goals and objectives?
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124. What are the dynamics of the communication plan?
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125. How do you think the partners involved in Data philanthropy would have defined success?
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126. How are consistent Data philanthropy definitions important?
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127. What would be the goal or target for a Data philanthropy’s improvement team?
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128. What are the Roles and Responsibilities for each team member and its leadership? Where is this documented?
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129. Are all requirements met?
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130. Is the team adequately staffed with the desired cross-functionality? If not, what additional resources are available to the team?
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131. Is there regularly 100% attendance at the team meetings? If not, have appointed substitutes attended to preserve cross-functionality and full representation?
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Add up total points for this section: _____ = Total points for this section
Divided by: ______ (number of statements answered) = ______ Average score for this section
Transfer your score to the Data philanthropy Index at the beginning of the Self-Assessment.
