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Data Strategy and xAPI

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xAPI Camp Autodesk 2016 presentation by Megan Bowe

Publicada em: Tecnologia
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Data Strategy and xAPI

  1. 1. DATA STRATEGY AND XAPI Megan Bowe MakingBetter @meganbowe megan@makingbetter.us
  2. 2. “The price of light is less than the cost of darkness. -Arthur C. Nielsen
  3. 3. INTELLIGENT BUSINESS ➤ Marketing analyzes data about audience behavior to reach more people ➤ Product analyzes data about target consumer activity to increase engagement ➤ User Experience analyzes data about product usage to increase customer satisfaction ➤ Management analyzes business results to understand company and market performance ➤ Therefore, Learning and Development should analyze workforce performance and growth to improve business results
  4. 4. XAPI PUSHES LEARNING AND DEVELOPMENT TO BE A DATA- DRIVEN SERVICE The conversation shifts from, “Which content should we deliver to employees?” to “What do our people need to do?” and “How can we help them at or before the time of need?”
  5. 5. DATA Foundation for the best laid plans
  6. 6. Image credit: https://www.pinterest.com/billgardiner/star-trek/
  7. 7. LOTSA DATA A large amount of data which analyzed to uncover hidden patterns, unknown correlations, and other useful information. ➤ Reactionary ➤ Requires huge piles of data ➤ Messy ➤ Expensive ➤ Sometimes misleading
  8. 8. Image credit: https://plus.google.com/u/0/102069808191484711272/posts
  9. 9. DATA STRATEGY IS… Often discussed in terms of storage, movement, and sharing. (thanks xAPI!) Governance ➤ Vocabulary usage ➤ Field usage ➤ API usage ➤ Custom key value pairs ➤ Competency alignment ➤ Coverage ➤ Learning experience design alignment
  10. 10. IT’S COMMUNICABLE ➤ Data Style Guides ➤ Content Strategy ➤ Metadata and Tagging
  11. 11. MEASUREMENT A careful balancing act.
  12. 12. WHAT GETS MEASURED GETS MANAGED No one is very sure if Peter Drucker actually said that.
  13. 13. “I often say that when you can measure what you are speaking about, and express it in numbers, you know something about it; but when you cannot express it in numbers, your knowledge is of a meagre and unsatisfactory kind; it may be the beginning of knowledge, but you have scarcely, in your thoughts, advanced to the stage of science, whatever the matter may be. - Lord Kelvin
  14. 14. MEDICINE AND EDUCATION These two professions have had metrics for over a decade. They are tracked from different angles. The measurement has had some success here and some failure. ➤ Click count trap: Doctors and EHR systems ➤ Test scores: Education and standardized testing
  15. 15. “…evidence mounted that even superb and motivated professionals had come to believe that the boatloads of measures, and the incentives to “look good,” had led them to turn away from the essence of their work. -Robert Watcher, NYT
  16. 16. LEARNING EXPERIENCE DESIGN Let’s figure out exactly what to track
  17. 17. XAPI DATA STRATEGY What should be done?
  18. 18. Interaction Verb Context Object Result Extensions Poll Question Submitted http://adlnet.gov/ expapi/verbs/ responded Parent: ID lesson or course poll is within http://adlnet.gov/expapi/ activities/question response: answer n All answer choices and their stats at the time of submission Search Submitted http://adlnet.gov/ expapi/verbs/ search Category: Page from which search was executed Term searched and link selected from search results Activity type: http://adlnet.gov/expapi/ activityTypes#link Links to other search results shown on the page Survey Question Answered http://adlnet.gov/ expapi/verbs/ responded Parent: ID of survey Activity http://adlnet.gov/expapi/ activities/question response: response to prompt
  20. 20. ANALYTICS ➤ Feedback loop analysis ➤ User journey analysis ➤ Patterns: expected and unexpected ➤ Predictive: when these things happen, this is usually the case.
  21. 21. INTELLIGENCE AMPLIFICATION Reliable data tied to content strategy makes it possible to find just the right places to do this. The moment when information is needed becomes a huge opportunity: ➤ Performance support ➤ Adaptive flows ➤ Recommendations ➤ Personal data stores
  22. 22. THANK YOU! Megan Bowe @meganbowe megan@makingbetter.us