As we work on a problem or in a crisis situation (i.e. COVID-19, project issues or delays, etc.), we may have difficulty thinking or planning ahead of the current situation. However, we need to understand that the problem will have a resolution which is determined by a timeline. As leaders, we need to prepare for the future after the situation has resolved. 

With current events, we have the potential to learn more than we ever have previously due to the amount of data available. What will you learn from all the data available?

Current Employee Trends – Spring 2020

Let’s consider the current trends. Who is working? Who is not working? Who is essential? Who is non-essential?

Looking at our stoplight image, it would seem that more employees are still considered essential and are still working on-site than not. However, as we look at images from traffic cameras and other global satellite images, we understand this is not necessarily true. The type of essential jobs may be greater, but these jobs may require fewer on-site people to complete in some instances. 

Some of the jobs are being completed in both locations. This is allowing for teams to rotate or for minimal to no public disruption of services. A final consideration are the employees that are completely remote. The majority of these employees were not remote before the current situation. After the situation resolves, how many employees can and will remain remote full or part-time?

Data Analytics & Learning Analytics for Lessons Learned

With this question in mind, no matter your area of industry, your next thought should be the potential lessons learned from data analytics and learning analytics.

As you begin to look at the data, here are a few questions.

1. Were your employees prepared with training to meet the challenges faced by this situation? 
2. Which training best prepared them? 
3. What training is lacking?
4. What training type of training method would be most effective for reach-back in this situation?

Employees will need a method to provide open-ended responses about the experience. You will need a method for capturing this data and analyzing it. Your leadership and the training team will need to determine the best strategy for gathering and analyzing the data for your business. The most important point is to capture and retain as much data as possible for the future lessons learned.

How QAA can Help

Our team can help by providing a customized Advanced AI Learning Analytics Tool (AAILAT) solution. AAILAT aggregates data from multiple sources for analysis. Our team assists in developing themes for the AI agents search for which leads to further insights from the data.

To learn more about the process, read our whitepaper. View our AAILAT demo to gain a better understanding of the customization potential. Contact us for more information about the customization.