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Lucky Parking Product Journey
Qiqi Zheng edited this page Oct 7, 2021
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| Table of Contents |
|---|
| Research Questions |
| Milestones Findings |
| Conclusion |
| Next Steps |
Milestones | Initial Application | Second Stage Application | Open Ideation | Urban Planning Tool | Usability Optimization | Code Refactoring
- What does our application do?
- Who are our stakeholders and end-users?
- What can we do to improve our product?
- Why is our next immediate action important?
Initial Application - Mar 2020 to Nov 2020
- What does our application do?
- Find a paid parking spot with least possibility to get a parking citations.
- We aimed to give users the calculated probability of getting citations for each parking spots.
- Who are our stakeholders and end-users?
- End-users are our stakeholders.
- The targeted end-users were all the residents in the LA county who wants to avoid getting parking citation.
- What can we do to improve our product?
- This project needs more information in regards to each citation ticket to create a calculated probability.
- To improve our product, we need to find a specific end-user and develop according to their needs.
- Why is our next immediate action important?
- We stop building this iteration of Lucky Parking. We pivoted to new idea for existing parking citation data.
- What does our application do?
- We cleaned the LA parking citation data, and incorporate the clean dataset to create a mapping tool that help visualize parking citation patterns in a local area.
- Who are our stakeholders and end-users?
- We had LA City of Transportation in mind as our stakeholders.
- Whoever interested in parking citation visualization.
- What can we do to improve our product?
- We cleaned the dataset.
- We analyzed and found interesting relationship between citations and various factors.
- We plotted dots on the map to visualize parking citations.
- Why is our next immediate action important?
- We wanted to make the visualization more friendly to users.
- We created heat map for better visualization of the clean data.
- What does our application do?
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Exploring all the possibilities utilizing the clean dataset. Ideas as following:
- Building mobile application to help Los Angeles residents finding parking.
- Adding augmented reality features to better assist the parking procurement.
- Creating parking scores for commercial and residential areas to inform residents how accessible parking is in one area.
- Who are our stakeholders and end-users?
- Every Los Angeles resident.
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What can we do to improve our product?
-
Why is our next immediate action important?
- What does our application do?
- Who are our stakeholders and end-users?
- What can we do to improve our product?
- Why is our next immediate action important?
- What does our application do?
- Who are our stakeholders and end-users?
- What can we do to improve our product?
- Why is our next immediate action important?
- What does our application do?
- Who are our stakeholders and end-users?
- What can we do to improve our product?
- Why is our next immediate action important?
After we answer questions for each milestone, our next step is figuring out what would be the next immediate steps for Lucky Parking.
Current application:
Our next steps:
Click the arrow below each category to view links (or view original alphabetical list by clicking "Pages" above) :
Research and Discovery Overview