Revenue Analytics A Complete Guide - 2020 Edition. Gerardus Blokdyk

of the customer’ (obtained feedback – qualitative and quantitative)?

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      13. Is Revenue Analytics linked to key stakeholder goals and objectives?

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      14. Who is gathering information?

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      15. Scope of sensitive information?

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      16. Does the scope remain the same?

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      17. What are the Revenue Analytics tasks and definitions?

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

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      19. What is the definition of Revenue Analytics excellence?

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      20. What is the scope of the Revenue Analytics effort?

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      21. What constraints exist that might impact the team?

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      22. What is the scope of the Revenue Analytics work?

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      23. What are the Revenue Analytics use cases?

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

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      25. What was the context?

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      26. Who approved the Revenue Analytics scope?

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      27. What is in the scope and what is not in scope?

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      28. Do you all define Revenue Analytics in the same way?

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      29. Why are you doing Revenue Analytics and what is the scope?

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      30. Has a team charter been developed and communicated?

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      31. What is in scope?

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      32. Are there different segments of customers?

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      33. Is the current ‘as is’ process being followed? If not, what are the discrepancies?

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      34. How are consistent Revenue Analytics definitions important?

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      35. Have the customer needs been translated into specific, measurable requirements? How?

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      36. How do you gather the stories?

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

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      38. How do you think the partners involved in Revenue Analytics would have defined success?

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      39. 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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      40. How have you defined all Revenue Analytics requirements first?

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      41. What are the record-keeping requirements of Revenue Analytics activities?

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      42. How do you build the right business case?

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      43. What is out-of-scope initially?

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      44. What sort of initial information to gather?

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      45. When is the estimated completion date?

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      46. Has a Revenue Analytics requirement not been met?

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      47. How is the team tracking and documenting its work?

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      48. What information should you gather?

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      49. How does the Revenue Analytics manager ensure against scope creep?

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

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      51. Is the Revenue Analytics scope manageable?

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      52. How often are the team meetings?

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      53. Is the work to date meeting requirements?

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      54. Is the scope of Revenue Analytics defined?

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      55. What would be the goal or target for a Revenue Analytics’s improvement team?

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      56. Are the Revenue Analytics requirements testable?

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      57. What are the core elements of the Revenue Analytics business case?

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      58. How would you define the culture at your organization, how susceptible is it to Revenue Analytics changes?

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      59. What intelligence can you gather?

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      60. What knowledge or experience is required?

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      61. Are there any constraints known that bear on the ability to perform Revenue Analytics work? How is the team addressing them?

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      62. What is out of scope?

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      63. Is there a critical path to deliver Revenue Analytics results?

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      64. If substitutes have been appointed, have they been briefed on the Revenue Analytics goals and received regular communications as to the progress to date?

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

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      66. How can the value of Revenue Analytics be defined?

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      67. Is Revenue Analytics required?

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      68. Where can you gather more information?

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      69. How will variation in the actual durations of each activity be dealt with to ensure that the expected Revenue Analytics results are met?

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      70. What gets