Do you have a Web data services success story or case study ready to tell and share?
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64. How often are the team meetings?
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65. What information do you gather?
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66. In what way can you redefine the criteria of choice clients have in your category in your favor?
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67. Where can you gather more information?
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68. How do you gather Web data services requirements?
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69. Is the scope of Web data services defined?
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70. Is scope creep really all bad news?
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71. What is the scope of Web data services?
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72. What are (control) requirements for Web data services Information?
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73. What is the scope of the Web data services work?
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74. What is the context?
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75. What happens if Web data services’s scope changes?
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76. Are different versions of process maps needed to account for the different types of inputs?
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77. How do you manage scope?
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78. What system do you use for gathering Web data services information?
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79. Is the Web data services scope manageable?
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80. Are required metrics defined, what are they?
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81. Is data collected and displayed to better understand customer(s) critical needs and requirements.
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82. How do you gather requirements?
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83. How does the Web data services manager ensure against scope creep?
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84. How is the team tracking and documenting its work?
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85. Are the Web data services requirements complete?
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86. What are the Web data services tasks and definitions?
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87. What knowledge or experience is required?
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88. Is there a Web data services management charter, including stakeholder case, problem and goal statements, scope, milestones, roles and responsibilities, communication plan?
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89. 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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90. Is Web data services required?
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91. If substitutes have been appointed, have they been briefed on the Web data services goals and received regular communications as to the progress to date?
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92. How and when will the baselines be defined?
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93. Does the team have regular meetings?
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94. What is the definition of success?
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95. Scope of sensitive information?
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96. Are there different segments of customers?
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97. When are meeting minutes sent out? Who is on the distribution list?
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98. Is the team adequately staffed with the desired cross-functionality? If not, what additional resources are available to the team?
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99. How did the Web data services manager receive input to the development of a Web data services improvement plan and the estimated completion dates/times of each activity?
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100. What is the scope of the Web data services effort?
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101. Has the Web data services 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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102. What would be the goal or target for a Web data services’s improvement team?
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103. Do the problem and goal statements meet the SMART criteria (specific, measurable, attainable, relevant, and time-bound)?
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104. Have the customer needs been translated into specific, measurable requirements? How?
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105. Has your scope been defined?
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106. What defines best in class?
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107. Who defines (or who defined) the rules and roles?
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108. What scope to assess?
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109. Are there any constraints known that bear on the ability to perform Web data services work? How is the team addressing them?
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110. The political context: who holds power?
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111. Is there any additional Web data services definition of success?
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112. How do you build the right business case?
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113. What customer feedback methods were used to solicit their input?
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114. Is Web data services currently on schedule according to the plan?
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115. Why are you doing Web data services and what is the scope?
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116. What was the context?
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117. 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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118. What are the Web data services use cases?
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119.