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Using Behavioral Analytics to Improve Learning Outcomes
#ATDTK
@JD_Dillon
January 12, 2017
1MDATAPOINTS
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
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
YESMeet
Threshold?
ObservePerformanceBehavior
Deliver Scheduled Training
@JD_Dillon
NO
DeliverRefresher
Notify Manager
ObjectiveReduce incidents by 5% across distribution network
5%
54%ResultIncidents declined by 54%
during a 6-month period
OUTCOME #1
Business Results
@JD_Dillon
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
Flexibility
Consistent Inputs
Realistic Targets
Continuous Learning
Technology Integration
REQUIREMENTS
@JD_Dillon iStock
Evaluate existing observation processes
Find your moments of truth
Select your inputs
Train REQUIRED behaviors + knowledge
Avoid the ”coverage” trap
GETTING STARTED
@JD_Dillon
What our people DOevery day should be the biggest influence on how we help them LEARN.
@JD_Dillon Pexels