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Using Learning Data to Impact Business Outcomes

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The learning and development profession is undergoing a fundamental shift from a training function to a highly strategic business consultant. With the advancements of machine learning, multiple data points now reveal previously hidden connections between what your employees know and the results your business will achieve. Organizations can measure behavior change and predict future business outcomes based on learning data. These learning insights provide the opportunity for businesses to take strategic action before a negative predicted outcome becomes reality. In this session, we explain how you can finally achieve - and go beyond - Kirkpatrick Level 4. We discuss how you can capture data to better target learning initiatives and impact measurable business results.

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Using Learning Data to Impact Business Outcomes

  1. 1. Using Learning Data to Impact Business Outcomes
  2. 2. JD Dillon Chief Learning Architect, Axonify Principal + Founder, LearnGeek
  3. 3. Is it possible to attribute business results directly to the impact of learning?
  4. 4. Learning Measurement Today The Kirkpatrick Model How many of you actually get to level 4?
  5. 5. Learning Organization Maturity LEVEL1 LEVEL2 LEVEL3 LEVEL4 The High Impact Learning Organization Study, Bersin by Deloitte, 2017 6%20%39%35% Episodic Responsive Continuous Anticipatory L&D must improve measurement to foster maturity.
  6. 6. L&D has a data problem. Pixabay The Streetlight Effect is directing our focus to limited metrics like completions and test scores.
  7. 7. Pixabay
  8. 8. DeciDigital
  9. 9. LIMITED ATTRIBUTION FULL ATTRIBUTION Support SalesMarketing pre-digital Attribution The degree of impact an activity has on REAL business metrics Marketing post-digital L&D Marketing made the leap thanks to the data revolution brought on by the internet.
  10. 10. The 5 Vs of Big Data VELOCITY VERACITY VALUE VOLUMEVARIETY Speed at which data is generated and analyzed Different types and forms of data Trustworthiness of data collected Ability to transform data into value for the business Scale of data generated and collected for analysis
  11. 11. Pixabay Making this type of data transformation may feel like a BIG step for L&D.
  12. 12. Evolution in experience facilitated improvements in measurement.
  13. 13. iStock Before L&D can benefit from modern data, we must explore changes in our fundamental tactics and the experience we provide to employees.
  14. 14. 1) Mindset shift 2) Experience evolution 3) Content reimagination 4) Data infusion
  15. 15. Recognize that most learning happens naturally in the work Appreciate that people drive their own learning and solve their own problems Value all forms of workplace learning Realize it’s about measuring impact, not tracking consumption and completion Understand the world is changing fast Jane Hart Learning in the Modern Workplace Modern Learning Organization Mindset
  16. 16. Microlearning is an approach to training that delivers content in short, focused bites. To be effective, microlearning must fit naturally into the daily workflow, engage employees in voluntary participation, be based in brain science (how people actually learn), adapt continually to ingrain the knowledge employees need to be successful, and ultimately drive behaviors that impact specific business results.
  17. 17. Reinforcement Analytics Motivation Feedback Shared Experience Community of Knowledge Events Online Content Experience Messaging Knowledge Growth Business Results continuous learning experience Coaching Microlearning enables a continuous, user-centered learning experience.
  18. 18. CONTENT RESULTSDOKNOW A results-first approach to learning design ensures a connection between content and data along the way.
  19. 19. Consumption Knowledge Behavior ResultsMulti-Dimensional Data Profile Demographic Context Feedback A continuous learning experience supports the collection of multi-dimensional data.
  20. 20. For example …
  21. 21. CONTENT RESULTSDOKNOW Reduce the number of safety incidents caused by poor ladder use. Demonstrate proper ladder setup and climbing techniques. Fundamental principles of ladder setup and use. Ladder safety module, job aid and reinforcement questions.
  22. 22. A brief, targeted video demonstrates the correct behaviors.
  23. 23. Questions assess understanding and reinforce fundamental knowledge.
  24. 24. Data is collected on employee knowledge and confidence by topic.
  25. 25. Knowledge growth is tracked at individual and enterprise scale.
  26. 26. Employees are observed executing the desired behavior, adding to the data profile.
  27. 27. Behavior gaps are identified to inform coaching and future training.
  28. 28. • Constant access • Personalization and adaptation • Real-time capture, analysis and feedback • Machine learning Go NEXT LEVEL with Modern Technology
  29. 29. The Machine Learning Process Gather Data Model Data Gain Insight Take ActionClean Data
  30. 30. It is now possible to … Gather a rich, powerful dataset at the individual level … Tie knowledge to on-the-job behavior … Process this data through statistical models with machine learning … Connect learning directly to business results – at scale.
  31. 31. Going beyond Level 4 … Employees engage + enjoy Employee knowledge and skills grow Employees change behavior Business impact tied to learning REACTION LEARNINGOUTCOMES BEHAVIORS Adjustments made based on identified performance gaps ADAPTATION
  32. 32. It’s a cycle of continuous optimization. Individual Knowledge Data Machine Learning Behavior ObservationsOutcomes Learning Content
  33. 33. Pixabay L&D is at a crossroads. The same-old isn’t working, but innovative tactics – such as data-driven learning - seem difficult and out of reach.
  34. 34. Pexels The data is already there. We just need to focus a wider light onto it so we can get beyond limited metrics and leverage big data throughout the learning experience.
  35. 35. CONTENT RESULTSDOKNOW It all starts with making the connection between measurable business goal, expected employee behavior, foundational knowledge and the content we ultimately create. Everyone can start doing this today!
  36. 36. § Begin with the targeted result § Build only the right content § Design learning experiences to maximize data collection § Find new data sources § Partner with your data teams
  37. 37. Visit axonify.com/impact to see more!
  38. 38. It is possible!
  39. 39. @JD_Dillon axonify.com jdillon@axonify.com slideshare.net/JDDillon
  40. 40. Using Learning Data to Impact Business Outcomes

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