Streamlined customer experience
There are times organizations introduce a new team, a new department, or a new way of getting their work done. Determining how the new department, team, or business process will play with the old workflow can test almost anyone's patience. In one instance, I developed a framework for integrating the business processes, stakeholders, and workflows of two departments to ensure a more seamless response to client demands. The framework's intent was to ensure staff between both departments had a more integrated approach in meeting client demands.
Increased speed of training revisions
No matter what type of training your organization might employ, most of it has a shelf life, meaning it has to be reviewed & revised periodically to stay up-to-date. I developed a straightforward, agreed upon system for prioritizing incoming feedback from numerous instructors and subject matter experts seeking to make course improvements. This system organized incoming feedback into three categories - high, medium, and low priority - with agreed upon criteria for each. In doing so, the most meaningful and impactful changes could be made to training courses, with lower priority items being on the docket for a later date.
Standardized approach for skill identification
Some organizations have the willpower but not the resources to carry out their desired activities. In lieu of hiring permanent training staff, I was tapped to create a performance support tool that would serve as a guide to leaders looking to train their internal staff themselves. The performance support tool ensured a common language and approach for designing and developing meaningful training.
Streamlined students' individualized learning
Technology is only as good as the person or people behind it. In the realm of tests and assessments this is no different. In one instance, I was asked to determine how to go about creating responsive assessments from an educational technology perspective. Much of the theory I researched delved into the foundations of machine learning and artificial intelligence. The end result enabled stakeholders to set about creating an algorithm that could be used for determining a person's skill level based on their responses to certain questions. In doing so, learners could better determine their knowledge and skills on a topic, and adjust their study habits accordingly.