Robot Learning A Complete Guide - 2020 Edition. Gerardus Blokdyk
the Robot learning team and the group measure complete success of Robot learning?
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72. Who are the Robot learning improvement team members, including Management Leads and Coaches?
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73. What Robot learning services do you require?
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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. When is the estimated completion date?
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76. Is the team equipped with available and reliable resources?
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77. What is the context?
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78. Is the Robot learning scope manageable?
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79. Is there a clear Robot learning case definition?
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80. What is the definition of success?
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81. How will variation in the actual durations of each activity be dealt with to ensure that the expected Robot learning results are met?
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82. Are there different segments of customers?
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83. Is the scope of Robot learning defined?
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84. How are consistent Robot learning definitions important?
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85. Has the direction changed at all during the course of Robot learning? If so, when did it change and why?
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86. In what way can you redefine the criteria of choice clients have in your category in your favor?
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87. Are the Robot learning requirements complete?
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88. How would you define the culture at your organization, how susceptible is it to Robot learning changes?
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89. Is the current ‘as is’ process being followed? If not, what are the discrepancies?
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90. What are the tasks and definitions?
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91. Is there any additional Robot learning definition of success?
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92. What information do you gather?
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93. What is a worst-case scenario for losses?
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94. What is in the scope and what is not in scope?
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95. What constraints exist that might impact the team?
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96. How do you gather the stories?
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97. Are there any constraints known that bear on the ability to perform Robot learning work? How is the team addressing them?
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98. What is out-of-scope initially?
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99. What are the Robot learning use cases?
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100. Are customer(s) identified and segmented according to their different needs and requirements?
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101. When is/was the Robot learning start date?
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102. Do you have organizational privacy requirements?
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103. Is Robot learning currently on schedule according to the plan?
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104. 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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105. Has a Robot learning requirement not been met?
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106. What are the record-keeping requirements of Robot learning activities?
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107. How do you think the partners involved in Robot learning would have defined success?
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108. How do you manage scope?
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109. What intelligence can you gather?
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110. Has a team charter been developed and communicated?
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111. How often are the team meetings?
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112. Who approved the Robot learning scope?
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113. What specifically is the problem? Where does it occur? When does it occur? What is its extent?
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114. Who is gathering Robot learning information?
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115. How is the team tracking and documenting its work?
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116. Do the problem and goal statements meet the SMART criteria (specific, measurable, attainable, relevant, and time-bound)?
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117. Has a project plan, Gantt chart, or similar been developed/completed?
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118. What critical content must be communicated – who, what, when, where, and how?
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119. What sort of initial information to gather?
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120. What is the worst case scenario?
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121. Is there a completed, verified, and validated high-level ‘as is’ (not ‘should be’ or ‘could be’) stakeholder process map?
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122. How does the Robot learning manager ensure against scope creep?
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123. What happens if Robot learning’s scope changes?
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124. What scope do you want your strategy to cover?
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125. Is there a completed SIPOC representation, describing the Suppliers, Inputs, Process, Outputs, and Customers?
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126. Have all basic functions of Robot learning been defined?
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127. Does the team have regular meetings?
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