Self Service A Complete Guide - 2020 Edition. Gerardus Blokdyk

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СКАЧАТЬ Score

      88. What are the estimated costs of proposed changes?

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      89. Should you focus on self-service or sales-supported SaaS?

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      90. How frequently do you verify your Self-service strategy?

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      91. How do you leverage Data Discovery for self-service analytics?

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      92. What are predictive Self-service analytics?

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      93. Has automation and self-service allowed for cost savings?

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      94. What does losing customers cost your organization?

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      95. What disadvantage does this cause for the user?

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      96. What is self-service analytics and why is it important?

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      97. What users will be impacted?

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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 Self-service Index at the beginning of the Self-Assessment.

      CRITERION #4: ANALYZE:

      INTENT: Analyze causes, assumptions and hypotheses.

      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 sources of data from self-service interactions?

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      2. What are the best opportunities for value improvement?

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      3. Do you drive employee experience and engagement through self-service?

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      4. Do you, as a leader, bounce back quickly from setbacks?

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      5. Are Self-service changes recognized early enough to be approved through the regular process?

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      6. How will you manage IT and self-service data integration?

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      7. Were Pareto charts (or similar) used to portray the ‘heavy hitters’ (or key sources of variation)?

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      8. Do you have difficulty supporting self-service access to complex data sources?

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      9. What are the Self-service design outputs?

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      10. Is the process self-service or managed?

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      11. What quality tools were used to get through the analyze phase?

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      12. What are your key Self-service indicators that you will measure, analyze and track?

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      13. Will your solution be self-serviced locally or provisioned in the data center?

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      14. What is the cost of poor quality as supported by the team’s analysis?

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      15. What are evaluation criteria for the output?

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      16. What conclusions were drawn from the team’s data collection and analysis? How did the team reach these conclusions?

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      17. Have changes been properly/adequately analyzed for effect?

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      18. Are users in your organization currently integrating or blending data from sources using a software solutions self-service data preparation capabilities?

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      19. What process improvements will be needed?

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      20. Is there any way to speed up the process?

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      21. What were the crucial ‘moments of truth’ on the process map?

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      22. Was a cause-and-effect diagram used to explore the different types of causes (or sources of variation)?

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      23. What are your current levels and trends in key Self-service measures or indicators of product and process performance that are important to and directly serve your customers?

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      24. Is data and process analysis, root cause analysis and quantifying the gap/opportunity in place?

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      25. How was the detailed process map generated, verified, and validated?

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      26. Were any designed experiments used to generate additional insight into the data analysis?

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      27. Does your self-service product track data point in time?

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      28. How are outputs preserved and protected?

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