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1M Data Points: Using Behavioral Analytics to Improve Learning Outcomes

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Today’s organizations are tracking an unfathomable amount of data during both customer and employee experiences. Meanwhile, L&D continues to report on completions and quiz scores. To provide real value, L&D professionals must acknowledge the limits of “learning data” and tie solutions to measurable performance and business outcomes.

In this session, we discussed how one of the world’s largest retailers is using behavioral observation data to inform its ongoing learning and performance strategies. We explored the organization “flipped” the analysis process to identify business outcomes, followed by desired behaviors, required knowledge, and ultimately the right-fit learning and support resources. We also examined how frontline managers are using actionable data to improve their coaching and teaching opportunities.

Published in: Business
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1M Data Points: Using Behavioral Analytics to Improve Learning Outcomes

  1. 1. Using Behavioral Analytics to Improve Learning Outcomes #ATDTK @JD_Dillon January 12, 2017 1MDATA POINTS
  2. 2. JD Dillon Principal Learning Strategist,
  3. 3. How does what our people DO every day impact how they LEARN? @JD_DillonPexels
  4. 4. @JD_DilloniStock
  5. 5. Inherently Limited? Business Requests Assessments Content Traditional Inputs @JD_Dillon
  6. 6. These inputs force us to play at MACRO level. @JD_DillonWikipedia
  7. 7. Verge @JD_Dillon We seek maximum coverage …
  8. 8. … and forsake individual needs for the benefit of scale. @JD_DillonMLKSHK
  9. 9. Lack of relevance + impact result in poor L&D value. @JD_DilloniStock
  10. 10. Performance is personal + contextual. @JD_DillonPexels
  11. 11. @JD_Dillon
  12. 12. @JD_DilloniStock
  13. 13. @JD_Dillon Leveraging BEHAVIOR STRATEGY as the foundation of your
  14. 14. Define Your Business Goal1| @JD_DillonPexels
  15. 15. Objective Reduce incidents by 5% across distribution network 5% Result TBD ? @JD_Dillon
  16. 16. Distill Required (not desired) Behaviors 2| @JD_DillonPexels
  17. 17. Find Your Moments of Truth3| @JD_DillonPexels
  18. 18. @JD_Dillon
  19. 19. Determine Inputs4| @JD_DilloniStock
  20. 20. Set Thresholds5| Lenient Above 98% Good 94% - 98% At Risk Below 94% @JD_Dillon
  21. 21. Collect Data6| @JD_Dillon
  22. 22. Evaluate Data + Identify Gaps7| % Good % At Risk @JD_Dillon
  23. 23. Behavior Total Positive Negative % Positive Behavior 1 74,597 70,319 4,278 Behavior 2 23,187 22,714 473 Behavior 3 17,929 15,801 2,128 @JD_Dillon
  24. 24. Behavior Total Positive Negative % Positive Behavior 1 74,597 70,319 4,278 94.41% Behavior 2 23,187 22,714 473 98.05% Behavior 3 17,929 15,801 2,128 89.41% @JD_Dillon
  25. 25. Distill Required Knowledge8| @JD_DillonTime
  26. 26. Build Support Content9| Adaptive Microlearning (14,000+ Sessions Per Day) @JD_Dillon
  27. 27. @JD_Dillon Ⓒ Axonify
  28. 28. Target Content10| 6,000+ Individual Refresher Sessions Per Month @JD_DillonPexels
  29. 29. YES Meet Threshold? Observe Performance Behavior Deliver Scheduled Training @JD_Dillon NO Deliver Refresher Notify Manager
  30. 30. @JD_Dillon Results of a BEHAVIOR STRATEGY Observation + Integration
  31. 31. Objective Reduce incidents by 5% across distribution network 5% 54% Result Incidents declined by 54% during a 6-month period OUTCOME #1 Business Results @JD_Dillon
  32. 32. OUTCOME #2 Manager Enablement @JD_Dillon
  33. 33. @JD_Dillon
  34. 34. OUTCOME #3 Training Maximization 7% AT RISK Rate Train All 70,000 Associates 4 Topics 5-Minute Refresh Modules 23,333 HOURS Traditional Approach @JD_Dillon Behavior-Based Approach 2.8% Time Required + 100% Relevance 7% AT RISK Rate Train Only 7,839 Specific Associates 18 Topics 5-Minute Refresh Modules 658 HOURS
  35. 35. OUTCOME #4 Content Improvement @JD_Dillon
  36. 36. Knowledge Behavior Content Results @JD_Dillon
  37. 37. @JD_Dillon
  38. 38. Flexibility Consistent Inputs Realistic Targets Continuous Learning Technology Integration REQUIREMENTS @JD_DilloniStock
  39. 39. Evaluate existing observation processes Find your moments of truth Select your inputs Train REQUIRED behaviors + knowledge Avoid the ”coverage” trap GETTING STARTED @JD_Dillon
  40. 40. What our people DO every day should be the biggest influence on how we help them LEARN. @JD_DillonPexels
  41. 41. www.slideshare.net/JDDillon
  42. 42. @JD_Dillon In Real Life … jddillon.com jdillon@axonify.com
  43. 43. Using Behavioral Analytics to Improve Learning Outcomes #ATDTK @JD_Dillon January 12, 2017 1MDATA POINTS

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