Robot Learning A Complete Guide - 2020 Edition. Gerardus Blokdyk

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      62. Has the improvement team collected the ‘voice of the customer’ (obtained feedback – qualitative and quantitative)?

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      63. How do you build the right business case?

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      64. The political context: who holds power?

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      65. What are the Robot learning tasks and definitions?

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      66. What Robot learning requirements should be gathered?

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

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

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      69. If substitutes have been appointed, have they been briefed on the Robot learning goals and received regular communications as to the progress to date?

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

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      71. How will 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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