Case Study
Nestlé Measures the Learner Experience
Nestlé won two Brandon Hall HCM Excellence Awards for their cross-functional sales curriculum. A key area of innovation was to provide learners with iterative feedback on their learning journeys. To do this, Nestlé implemented an assessment strategy to build their product and market IQ. Ultimately, their approach demonstrated that the new learning journeys were successful in developing this IQ beyond the target scores established. They were also able to correlate this increase with their business goal of outpacing market growth.
Service Offerings for Learning Measurement and Analytics
To provide actionable insights to learners and the organization, AllenComm recommends a two-part strategy focused on learning data collection and analysis. By leveraging measurement and analytics effectively, organizations can create a more responsive, efficient, and impactful learning ecosystem that supports individual learner needs, administrative efficiency, and strategic business goals.
Learning Data Collection and Management
Effective data collection is crucial for measuring and analyzing the impact of L&D programs. AllenComm has the expertise, technologies, and skill set to guide you in establishing the right data-collecting approach, optimal methods for its storage and management, and best practices for interpreting the results.
Categories
- Baseline Metrics: Use surveys, assessments, pre-tests, etc., to provide a point of reference to measure improvement.
- Engagement Metrics: Assess using web metrics like click-through, bounce, or interaction rates or with experience-specific metrics for achievements, gamification, collaboration, etc.
- Learning Metrics: Go beyond completion and progress to measure skills proficiency, simulated practice, planning and execution, readiness, confidence, and more.
- Performance Metrics: Connect learning data to on-the-job performance to measure organizational impact.
Methods
- Data Collection and Preparation: Gathering, cleaning, and integrating data into a cohesive dataset
- Exploratory Data Analysis: Understanding the main characteristics, relationships, and potential insights
- Advanced Analytics: Performing predictive, prescriptive, cluster, and sentiment analysis to find patterns, and interpret results
- Data Visualization and Reporting: Creating dashboards and summary reports with actionable insights
- Data Governance and Compliance: Meeting requirements for data privacy and sharing; anonymize data for reporting purposes; and implement quality processes
Learning Analysis and Insight
Effective data analysis provides insights into trends and patterns, helping organizations identify which training programs correlate with improved employee performance, retention rates, and overall productivity.
Technologies
- LMS and HR Platforms: Create a shared dataset using APIs.
- Dashboards: Tailor reporting for learners, managers, and other stakeholders.
- Automated Reporting: Create custom reports for your LMS or other platforms.
- Web Services and Add-ons: Increase the functionality of your tech ecosystem with web services that add-on to existing tech.
Outcomes
- Employee Experience: Measure the impact of learning on the overall employee experience.
- Learning Operations: Proactively manage learning initiatives that may be at risk (due to low engagement) and make data-informed decisions about resource allocation, development priorities, course offerings, etc.
- Organizational Impact: Connect learning performance to organizational performance by integrating with business intelligence platforms.
