PLEASE NOTE: Due to confidentiality, detailed images are note used on this page. Alana will speak to the details of this project live. Images speak to the project overview and Alana’s workflow process.
The who: The Learning Genome (LG) is Amazon’s mechanism for data-driven acceleration of knowledge and capability development. The LG value proposition is that Amazon can improve and accelerate learning—not only through better learning design grounded in the science of learning, but also through data-driven feedback and actionable insights that support human decision-making.
The why: Personalized and adaptive learning at a high level provides differentiated experiences to each learner, based on what that learner needs. Personalized learning is important because learners benefit from it, business and program owners want it, and the LG needs it to raise the bar on data-driven human-in-the-loop decision making for learning and learning design.
The project: Deliver a personalized, adaptive learning experience and insights that reduce time to proficiency.
Research and hypothesis – First I needed to create an ecosystem of all the we know, need to know and is outstanding. This included information gathering, data mining, creating personas, competitive research, insights, hypothesis and logistics.
Design Sprint – I built and facilitated a remote week-long team design sprint to generate ideas from all angles using a diverse group of team members. By the end of the week, we developed a working prototype to test and build from. Sprint exercises included:
Testing – Tested prototype with 10 unique users. Gathering data at this stage consisted of breaking up the user experience of the prototype and asking pointed questions to our users as they went through the prototype. The result from the testing was:
Discovery and findings – Through our user research channel, competitive analysis, review of research and data, I was able to make solid decisions about the product to funnel and target ideas. Detailed research included:
Wireframe – The prototype was turned into solid designs using the research and data to make informed decisions. User flows and stories are apart of this phase with close attention to accessibility and sustainability.
Design – Once the wireframes went through a series of bug bashes and solid user stories layouts, I was ready to incorporate visual elements and match style guide and accessibility standards.
Handoff – With solid designs in place, I worked closely with the tech team to build this product and deliver it to the users. Detailed notes were included to confirm communication was solid.
Test and Gather – Once the tech team completed their build, we were able to deliver the product to the user. We ran two versions of the course, the classic version and the adaptive version (approx. 2k users per month running for four months)
Results
Highlights
User experience feedback
Follow-up