Team Member Status Report: Data Philanthropy216
3.2 Change Request: Data Philanthropy218
3.3 Change Log: Data Philanthropy220
3.4 Decision Log: Data Philanthropy222
3.5 Quality Audit: Data Philanthropy224
3.6 Team Directory: Data Philanthropy226
3.7 Team Operating Agreement: Data Philanthropy228
3.8 Team Performance Assessment: Data Philanthropy230
3.9 Team Member Performance Assessment: Data Philanthropy232
3.10 Issue Log: Data Philanthropy234
4.0 Monitoring and Controlling Process Group: Data Philanthropy236
4.1 Project Performance Report: Data Philanthropy238
4.2 Variance Analysis: Data Philanthropy240
4.3 Earned Value Status: Data Philanthropy242
4.4 Risk Audit: Data Philanthropy244
4.5 Contractor Status Report: Data Philanthropy246
4.6 Formal Acceptance: Data Philanthropy248
5.0 Closing Process Group: Data Philanthropy250
5.1 Procurement Audit: Data Philanthropy252
5.2 Contract Close-Out: Data Philanthropy255
5.3 Project or Phase Close-Out: Data Philanthropy257
5.4 Lessons Learned: Data Philanthropy259
Index261
CRITERION #1: RECOGNIZE
INTENT: Be aware of the need for change. Recognize that there is an unfavorable variation, problem or symptom.
In my belief, the answer to this question is clearly defined:
5 Strongly Agree
4 Agree
3 Neutral
2 Disagree
1 Strongly Disagree
1. What are the minority interests and what amount of minority interests can be recognized?
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2. Would you recognize a threat from the inside?
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3. What do employees need in the short term?
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4. What is the problem and/or vulnerability?
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5. What else needs to be measured?
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6. 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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7. Who defines the rules in relation to any given issue?
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8. Looking at each person individually – does every one have the qualities which are needed to work in this group?
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9. Are there any revenue recognition issues?
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10. How are the Data philanthropy’s objectives aligned to the group’s overall stakeholder strategy?
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11. Are there any specific expectations or concerns about the Data philanthropy team, Data philanthropy itself?
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12. Is the quality assurance team identified?
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13. Is it clear when you think of the day ahead of you what activities and tasks you need to complete?
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14. Is it needed?
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15. What Data philanthropy problem should be solved?
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16. How do you recognize an objection?
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17. How do you take a forward-looking perspective in identifying Data philanthropy research related to market response and models?
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18. How do you identify subcontractor relationships?
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19. Where do you need to exercise leadership?
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20. Who needs to know about Data philanthropy?
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21. Who should resolve the Data philanthropy issues?
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22. For your Data philanthropy project, identify and describe the business environment, is there more than one layer to the business environment?
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23. Are controls defined to recognize and contain problems?
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24. How are you going to measure success?
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25. What does Data philanthropy success mean to the stakeholders?
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26. Who needs to know?
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27. What are your needs in relation to Data philanthropy skills, labor, equipment, and markets?
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28. How do you recognize an Data philanthropy objection?
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29. As a sponsor, customer or management, how important is it to meet goals, objectives?
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