Gerardus Blokdyk

Automated Pain Recognition A Complete Guide - 2020 Edition


Скачать книгу

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

      <--- Score

      114. What is out of scope?

      <--- Score

      115. What scope to assess?

      <--- Score

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

      <--- Score

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

      <--- Score

      118. What Automated Pain Recognition services do you require?

      <--- Score

      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?

      <--- Score

      120. What information should you gather?

      <--- Score

      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?

      <--- Score

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

      <--- Score

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

      <--- Score

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

      <--- Score

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

      <--- Score

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

      <--- Score

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

      <--- Score

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

      <--- Score

      129. How do you gather Automated Pain Recognition requirements?

      <--- Score

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

      <--- Score

      131. Is scope creep really all bad news?

      <--- Score

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

      <--- Score

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

      <--- Score

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

      <--- Score

      135. What is out-of-scope initially?

      <--- Score

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

      <--- Score

      137. How would you define Automated Pain Recognition leadership?

      <--- Score

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

      <--- Score

      139. Are the Automated Pain Recognition requirements testable?

      <--- Score

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

      <--- Score

      141. Who is gathering information?

      <--- Score

      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?

      <--- Score

      2. How can you reduce costs?

      <--- Score

      3. Does a Automated Pain Recognition quantification method exist?

      <--- Score

      4. What would it cost to replace your technology?

      <--- Score

      5. How are costs allocated?

      <--- Score

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

      <--- Score

      7. What drives O&M cost?

      <--- Score

      8. What are the Automated Pain Recognition investment costs?

      <--- Score

      9. When should you bother with diagrams?

      <--- Score

      10. What disadvantage does this cause for the user?

      <--- Score

      11. Is the solution cost-effective?

      <--- Score

      12. Who should receive measurement reports?

      <--- Score

      13. Is there an opportunity to verify requirements?

      <--- Score

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

      <--- Score

      15. Are the measurements objective?

      <--- Score

      16. What could cause you to change course?

      <--- Score

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

      <--- Score

      18. What are the costs?

      <--- Score

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

      <--- Score

      20. How can you manage cost down?

      <--- Score

      21. Why do the measurements/indicators matter?

      <--- Score

      22. What are the uncertainties surrounding estimates of impact?

      <--- Score

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

      <--- Score

      24.