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not? What is the start point? What is the stop point?

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      114. What is out of scope?

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      115. What scope to assess?

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      116. What critical content must be communicated – who, what, when, where, and how?

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      117. Are customer(s) identified and segmented according to their different needs and requirements?

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      118. What Automated Pain Recognition services do you require?

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      119. 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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      120. What information should you gather?

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      121. How did the Automated Pain Recognition manager receive input to the development of a Automated Pain Recognition improvement plan and the estimated completion dates/times of each activity?

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

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      123. What is a worst-case scenario for losses?

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      124. What are (control) requirements for Automated Pain Recognition Information?

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

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      126. Is there any additional Automated Pain Recognition definition of success?

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      127. Why are you doing Automated Pain Recognition and what is the scope?

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      128. How can the value of Automated Pain Recognition be defined?

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      129. How do you gather Automated Pain Recognition requirements?

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

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      131. Is scope creep really all bad news?

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      132. Are there any constraints known that bear on the ability to perform Automated Pain Recognition work? How is the team addressing them?

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      133. How will the Automated Pain Recognition team and the group measure complete success of Automated Pain Recognition?

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      134. What are the Automated Pain Recognition tasks and definitions?

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      135. What is out-of-scope initially?

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

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      137. How would you define Automated Pain Recognition leadership?

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      138. Is the Automated Pain Recognition scope complete and appropriately sized?

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      139. Are the Automated Pain Recognition requirements testable?

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

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      141. Who is gathering information?

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      Add up total points for this section: _____ = Total points for this section

      Divided by: ______ (number of statements answered) = ______ Average score for this section

      Transfer your score to the Automated Pain Recognition Index at the beginning of the Self-Assessment.

      CRITERION #3: MEASURE:

      INTENT: Gather the correct data. Measure the current performance and evolution of the situation.

      In my belief, the answer to this question is clearly defined:

      5 Strongly Agree

      4 Agree

      3 Neutral

      2 Disagree

      1 Strongly Disagree

      1. How will success or failure be measured?

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      2. How can you reduce costs?

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      3. Does a Automated Pain Recognition quantification method exist?

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      4. What would it cost to replace your technology?

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      5. How are costs allocated?

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      6. What is the root cause(s) of the problem?

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      7. What drives O&M cost?

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      8. What are the Automated Pain Recognition investment costs?

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      9. When should you bother with diagrams?

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      10. What disadvantage does this cause for the user?

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      11. Is the solution cost-effective?

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      12. Who should receive measurement reports?

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      13. Is there an opportunity to verify requirements?

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      14. What is your Automated Pain Recognition quality cost segregation study?

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      15. Are the measurements objective?

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      16. What could cause you to change course?

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      17. How can you reduce the costs of obtaining inputs?

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      18. What are the costs?

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      19. Are the Automated Pain Recognition benefits worth its costs?

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      20. How can you manage cost down?

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      21. Why do the measurements/indicators matter?

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      22. What are the uncertainties surrounding estimates of impact?

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      23. How is the value delivered by Automated Pain Recognition being measured?

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      24.

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