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information?

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      17. What are the compelling stakeholder reasons for embarking on Robot learning?

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      18. Is there a critical path to deliver Robot learning results?

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      19. Who defines (or who defined) the rules and roles?

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      20. Is there a Robot learning management charter, including stakeholder case, problem and goal statements, scope, milestones, roles and responsibilities, communication plan?

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      21. What is the scope of Robot learning?

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      22. Is Robot learning linked to key stakeholder goals and objectives?

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      23. What gets examined?

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      24. 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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      25. Have specific policy objectives been defined?

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      26. Who is gathering information?

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      27. 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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      28. What is the scope of the Robot learning work?

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      29. Has a high-level ‘as is’ process map been completed, verified and validated?

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      30. How do you gather requirements?

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      31. How do you catch Robot learning definition inconsistencies?

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      32. How did the Robot learning manager receive input to the development of a Robot learning improvement plan and the estimated completion dates/times of each activity?

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      33. How would you define Robot learning leadership?

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      34. How and when will the baselines be defined?

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      35. Is the team adequately staffed with the desired cross-functionality? If not, what additional resources are available to the team?

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      36. What are the rough order estimates on cost savings/opportunities that Robot learning brings?

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      37. Will team members regularly document their Robot learning work?

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      38. Have all of the relationships been defined properly?

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      39. What defines best in class?

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      40. What is the definition of Robot learning excellence?

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      41. How do you hand over Robot learning context?

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      42. Are required metrics defined, what are they?

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      43. How do you gather Robot learning requirements?

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      44. What system do you use for gathering Robot learning information?

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      45. Is the Robot learning scope complete and appropriately sized?

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      46. Has the Robot learning 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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      47. Is special Robot learning user knowledge required?

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      48. What baselines are required to be defined and managed?

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      49. What is the scope?

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      50. Are audit criteria, scope, frequency and methods defined?

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      51. How do you manage unclear Robot learning requirements?

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      52. What are the Roles and Responsibilities for each team member and its leadership? Where is this documented?

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      53. Is data collected and displayed to better understand customer(s) critical needs and requirements.

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      54. 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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      55. What scope to assess?

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      56. Why are you doing Robot learning and what is the scope?

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      57. Are approval levels defined for contracts and supplements to contracts?

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      58. Is Robot learning required?

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      59. Are accountability and ownership for Robot learning clearly defined?

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      60. When are meeting minutes sent out? Who is on the distribution list?

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      61. Is it clearly defined in and to your organization what you do?

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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.

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