Background:
The business model for the client is built on mobility and convenience for the user. Since there is no brick and mortar location for learners to visit or take classes in, all the courses are delivered through a mobile app. That means post-training evaluations must be delivered through the app as well. An evaluation must be designed to be inserted into the app

Solution:
They are voluntary but the user will be prompted multiple time each week and will be given incentives such as small monthly account credit when they complete them. 

Because the evaluation is being delivered on the app most of the questions are given using a Likert Scale, otherwise known as a satisfaction scale, from one to five. One being that the user strongly disagrees with the statement proposed to them, three meaning that they neither agree or disagree with the statement proposed to them, and five being that they strongly agree with the statement proposed to them. The Likert Scale was chosen as the primary evaluation device because best practice for any sort of survey being delivered on mobile devices is to minimize the amount of typed in answers that the user needs to fill out on their phone. 

After the survey is complete they results are compiled using the application programming interface (API), which is built into the client’s app, and is then delivered automatically to the evaluators as Giant Brain.

Results:

The final design for this project turned out very nice. While staying within the constraints I was able to come up with a nice looking piece that successfully fulfilled the requirements of all the given criteria.

• Level 1: Reaction – Seven (7) survey questions were written gauging the users’ initial reaction to the course. Leveraging usage data, these questions would be made available to the user immediately after training.
• Level 2: Learning – Seven (7) questions were written gauging how much the users’ have learned through the training. This section is a split between definitive questions (requiring a keyed in answer) and Likert Scale questions. Leveraging usage data, these questions would be made available to the user about one (1) to three (3) weeks of regular training.
• Level 3: Behaviors – Ten (10) questions were written for this section gauging how the training has effected the users’ behaviors. Are they liking yoga more than when they started training? Are they practicing more? Again, this section is a split between definitive questions (requiring a keyed in answer) and Likert Scale questions. Leveraging user data, these questions would be delivered to users after about four (4) to six (6) weeks of regular training.
• Level 4: Results – Seven (7) questions were written for this section gauging the impact on the training in the users’ ability to perform yoga at a higher level and in the impact to their health. This is an important section and allows the users’ an opportunity to compare themselves before training and after training. Again, this section is a split between definitive questions (requiring a keyed in answer) and Likert Scale questions. Leveraging user data, these questions would be delivered to users after about six (6) months of regular training.