3 Neutral
2 Disagree
1 Strongly Disagree
1. Who should resolve the Functional data analysis issues?
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2. What else needs to be measured?
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3. What should be considered when identifying available resources, constraints, and deadlines?
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4. To what extent would your organization benefit from being recognized as a award recipient?
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5. What does Functional data analysis success mean to the stakeholders?
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6. What Functional data analysis capabilities do you need?
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7. What is the extent or complexity of the Functional data analysis problem?
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8. Do you have/need 24-hour access to key personnel?
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9. Are employees recognized or rewarded for performance that demonstrates the highest levels of integrity?
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10. Are problem definition and motivation clearly presented?
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11. Would you recognize a threat from the inside?
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12. Who defines the rules in relation to any given issue?
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13. What are the minority interests and what amount of minority interests can be recognized?
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14. What would happen if Functional data analysis weren’t done?
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15. How are you going to measure success?
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16. Are you dealing with any of the same issues today as yesterday? What can you do about this?
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17. Do you need different information or graphics?
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18. Whom do you really need or want to serve?
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19. To what extent does each concerned units management team recognize Functional data analysis as an effective investment?
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20. What do employees need in the short term?
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21. Does Functional data analysis create potential expectations in other areas that need to be recognized and considered?
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22. Who else hopes to benefit from it?
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23. For your Functional data analysis project, identify and describe the business environment, is there more than one layer to the business environment?
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24. How are the Functional data analysis’s objectives aligned to the group’s overall stakeholder strategy?
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25. Is the quality assurance team identified?
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26. What resources or support might you need?
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27. What activities does the governance board need to consider?
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28. Is the need for organizational change recognized?
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29. Did you miss any major Functional data analysis issues?
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30. Are employees recognized for desired behaviors?
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31. How do you recognize an objection?
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32. How many trainings, in total, are needed?
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33. What extra resources will you need?
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34. What are the expected benefits of Functional data analysis to the stakeholder?
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35. How do you recognize an Functional data analysis objection?
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36. Are controls defined to recognize and contain problems?
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37. Who needs what information?
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38. As a sponsor, customer or management, how important is it to meet goals, objectives?
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39. What creative shifts do you need to take?
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40. What is the problem or issue?
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41. Are your goals realistic? Do you need to redefine your problem? Perhaps the problem has changed or maybe you have reached your goal and need to set a new one?
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42. What are the clients issues and concerns?
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43. What prevents you from making the changes you know will make you a more effective Functional data analysis leader?
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44. Why the need?
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45. Are there any specific expectations or concerns about the Functional data analysis team, Functional data analysis itself?
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46. How are training requirements identified?
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47. Will Functional data analysis deliverables need to be tested and, if so, by whom?
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48. How do you identify the kinds of information that you will need?
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49. How do you identify subcontractor relationships?
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50. What tools and technologies are needed for a custom Functional data analysis project?
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51. Are there any revenue recognition issues?
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52. How do you assess your Functional data analysis workforce capability and capacity needs, including skills, competencies, and staffing levels?
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53. What training and capacity building actions are needed to implement proposed reforms?
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54. How much are sponsors, customers, partners, stakeholders involved in Functional data analysis? In other words, what are the risks, if Functional data analysis does not deliver successfully?
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