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6. Where can you go to verify the info?
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7. How do you measure variability?
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8. What disadvantage does this cause for the user?
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9. What are the estimated costs of proposed changes?
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10. Are you aware of what could cause a problem?
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11. Is there an opportunity to verify requirements?
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12. What does your operating model cost?
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13. What are the current costs of the Human learning process?
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14. What is the root cause(s) of the problem?
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15. Why do the measurements/indicators matter?
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16. How will success or failure be measured?
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17. Are Human learning vulnerabilities categorized and prioritized?
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18. What is the total fixed cost?
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19. What is an unallowable cost?
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20. Do you effectively measure and reward individual and team performance?
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21. Are there measurements based on task performance?
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22. How is the value delivered by Human learning being measured?
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23. Who pays the cost?
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24. Are the units of measure consistent?
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25. How can you reduce the costs of obtaining inputs?
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26. How can you manage cost down?
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27. How do you verify the authenticity of the data and information used?
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28. What are your operating costs?
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29. How much does it cost?
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30. Where is it measured?
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31. How do you control the overall costs of your work processes?
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32. Why a Human learning focus?
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33. How do you verify performance?
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34. What causes mismanagement?
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35. When a disaster occurs, who gets priority?
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36. What would it cost to replace your technology?
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37. The approach of traditional Human learning works for detail complexity but is focused on a systematic approach rather than an understanding of the nature of systems themselves, what approach will permit your organization to deal with the kind of unpredictable emergent behaviors that dynamic complexity can introduce?
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38. What are hidden Human learning quality costs?
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39. How to cause the change?
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40. What are the costs and benefits?
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41. What do you measure and why?
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42. Do you aggressively reward and promote the people who have the biggest impact on creating excellent Human learning services/products?
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43. How is performance measured?
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44. Have you made assumptions about the shape of the future, particularly its impact on your customers and competitors?
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45. What do people want to verify?
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46. How do you measure lifecycle phases?
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47. What could cause delays in the schedule?
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48. How do you verify and validate the Human learning data?
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49. What measurements are being captured?
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50. Which costs should be taken into account?
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51. What causes investor action?
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52. How do your measurements capture actionable Human learning information for use in exceeding your customers expectations and securing your customers engagement?
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