Our platform incorporates artificial intelligence to provide insights about how leaders are developing, what they believe, and the impact they are making. It helps learning leaders understand the hearts and minds of participants through analysis of dialogue from activities, interactions, and learning communities. As a result, organizations can better predict behavioral change, provide actionable insights, and improve decision making.
We collect individual and cohort performance data to identify top performers, learning advocates, and identify potential barriers for the initiative. While most virtual learning platforms use completion rates and surveys to measure impact, we aggregate data from multiple inputs and precise metrics to enable you to measure the impact of your leadership development programs.
Our analytics help you answer these questions
- How prepared are our leaders?
- How effective are we at developing our leaders?
- Are leaders acting differently?
- Are we seeing a positive outcome?
Metrics used to measure cohort programs in the High Impact Learning Dashboard
Are They Actively Participating?
Participants who actively engage in the learning experience are more likely to understand and apply the information after the course has concluded. As a standalone metric, completion rate does not accurately reflect engagement. The engagement metric factors in participant completion rate, the volume and frequency of discussion posts, as well as quality and impact of those discussion interactions.
Will They Champion the Initiative?
To create meaningful change within the company, the leadership team must be champions of the cause and lead by example. The Advocacy metric measures participant “buy-in” and shows which leaders have become true believers who are willing to set aside past practices so they can apply and master these new skills.
Do They Comprehend the Information?
In order to drive and implement change, your leaders must be able to explain and discuss the ideas, concepts and practices presented in the course material. The understanding metric uses data collected through Natural Language Processing (NLP) algorithms to compare words and phrases shared in discussions against the content in each course activity, yielding a reliable and validated estimate of leaders’ comprehension.
What is Preventing Application?
Potential barriers can be identified which predict how organizational structures, systems, culture and priorities might prevent the successful implementation of new practices. The information is invaluable in creating leadership teams that can truly work as a team to implement an idea, preempting and solving problems before they derail critical initiatives.
Commitment to Action
Do We Have the Resolve to Make this Change?
Encouraging leaders to make a commitment to the initiative is the most effective way to solidify behavior change. Commitments work because people value consistency between what leaders say and what they do. Research shows that written commitments are more effective than verbal commitments and those made publicly are more effective than commitments kept private, creating a dual benefit to this metric.
Results by Dimension
Using the Results by Dimension Selector in the filters section of the HILD, you can view several metrics filtered by a chosen data field. For example, if you select Region in the Results by Dimension Selector, you can view the average Engagement, Advocacy, and other metrics for learners from each Region. Note: If you do not have consistent and accurate data, the codes in this section may not appear as you would like. Learn more about the importance of consistent and accurate data.
To learn more about our analytics and/or schedule a demo, please contact your Customer Success representative.