This document pitches an Alexa skill that provides summaries of common issues students experience in EECS 183 projects to help them debug problems. It would allow auditory learning without waiting for responses on Piazza or office hours. In user tests, students appreciated the organized hints but sometimes had trouble with voice command recognition. The creators learned to adapt the skill to their audience and improved it based on feedback.

1. AJP: Akash Ramanujam, Jay Chow, Peter Zhang

2. Pitch
● For
○ UM EECS 183 students, inexperienced, debugging, common mistakes
● Who
○ Dissatisfied with waiting for piazza response, long office hours queue
● Our product is
○ Alexa skill (audio application)
● That
○ Provides collection of common issues that past students experienced when completing
respective EECS projects. It also provides a succinct summary of pitfalls to look out for
when completing a project.
● Unlike
○ Piazza or office hours, our skill allows students to discover common issues, without
forcing them to view repetitive posts or wait for instructor responses
● Our product
○ Provides hints and advice specifically for EECS 183 auditory learners

3. DEMO TIME

5. MVP2 User Testing Chart Summary

6. Quotes from our users
1. “It’s more organized than the previous version”
2. “What about 183 labs - a couple were tricky”
3. “Hints are helpful”

7. Hypothesis: What we found out
Hypothesis: Users would appreciate our concise,
specific hints.
Based on the Data: Users like our hints when they
can get to them; occasionally Alexa does not
recognize our voice commands

8. What we learned
1. Front-end (Alexa Skills Kit Developer Console)

9. What we learned
Back-end infrastructure-as-a-service (Amazon AWS Lambda)

10. What we learned
2.
- Adapted to specific needs of our target audience
- Improved based on feedback from testers, professor
and the class

11. Thank You!
Questions?