Lumesse, a talent management software provider, recently hosted a Think Tank Dinner in London where the Lumesse Learning organization interviewed a panel of learning management and development experts to discuss how learner analytics are being used today. The first set of Lumesse published findings covered the various methods in which learning departments use learner analytics to inform decision making, while the second blog explored the opportunities and barriers associated with successful learner analytics. In this third installment, we offer recommendations for deriving effective learner analytics results in your organization, and, once again, provide access to our full set of findings accrued during conversations with learning management delegates from the worlds of finance, logistics, FMCG, mining, pharmaceuticals, professional services and commodity trading.
10 Practical Learner Analytics Recommendations
Without further ado, here are 10 practical learner analytics recommendations fostered from our discussions with learning management and development experts.
- Have dialogues with your data analysts. Ensure that they understand the questions you are asking so they can help you to formulate the right questions to ask.
- Identify the key objectives you are trying to drive in the business and base your metrics on those.
- Set out to emphasize not how good your learning is, but rather where learning is adding value, including tie-ins to performance metrics.
- Don’t overlook competencies, which can be a powerful metric of value addressed through learning.
- Real conversations are still crucial. The data doesn’t necessarily know your business, but your people do and they need to discuss the learning analytics data so your organization doesn’t miss the big business opportunities.
Take advantage of additional recommendations and read the fuller learner analytics report.