How will variation in the actual durations of each activity be dealt with to ensure that the expected Functional data analysis results are met?
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54. What baselines are required to be defined and managed?
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55. Who is gathering information?
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56. What sources do you use to gather information for a Functional data analysis study?
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57. What scope to assess?
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58. Has everyone on the team, including the team leaders, been properly trained?
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59. Is there a critical path to deliver Functional data analysis results?
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60. What are the Functional data analysis tasks and definitions?
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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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