Team project for 2019 Texas Hackathon. A conceptual App that aims to promote sustainability and environmental awareness by consumers.

CeeStar provides an intuitive way to learn producers' CSR score and better assists users to make decisions.
Time & Duration
Nov 2019
24 hours
Team Members
Yiling Chen, UX Designer
Debbie Chen, Front-end Engineer
Submitted in time
Took the initiative to invite PIMCO referee to provide feedback on our product.
Key Challenge

Finding a solution to help improve our environment

CeeStaR is our 2019 Texas Hackathon project prototyped within 24 hours. It is named with the hope of making people see true CSR stars.

With CeeStaR, consumers are allowed to know the producers' performance on Corporate Social Responsibilities simply by taking a picture of the product they are trying to buy.
Scope the Problem
Listed companies need to publish CSR reports, which, however, are usually quite long and even complicated. It hampered the incentives of customers to learn more about the company's environmental performance. This is specially true in shopping scenarios -- where most consumption decisions took place. In these contexts, people need to make decisions instantly, whilst the environmental performance of producers might be the last thing they noticed, not to mention consideration.
Design Decisions
We ideated CeeStaR to help users self-educating about the environmental performance of a company and encourage them to make environmentally-responsible decisions. With the aid of computer vision and connection of the database of company CSR index, users could have an intuitive view of the environmental and social performance of companies right before they made purchase decisions or have a sway between different products.

The core function of this app is providing retrieval functions of the environmental performance of products.

  • The home page provides updates of CSR news to let users know the latest news
  • Search functions allow users to search products by tying in names or scanning through categories

We use Microsoft Azure to train computer vision classification model to identify producers of products.

  • For a single product, it needs to know who their producers are and then their CSR index.
  • We eased users' troubles by collapsing these procedures into "taking pictures" and then "CSR performance showed".

The data source for quoting the CSR scores is CSRHub, a company that rated and ranked companies by integrating their ESG scores.

  • To give users a better knowledge of the company's situation, in addition to the CSR score of this producer, users could also know about their company information, latest updates and trend in their CSR performance.
  • Key issues on their CSR performance are highlighted with icons for users to directly know more about the company's situation.
  • For constant customers to a certain product or brand, they could follow this company to constantly know more updated information.

For competitive products from a single industry, users could make a comparison of their environmental performance.

  • Human beings have very limited short-term memory. We hope to reduce users' cognitive load to the largest extent.
  • Empathizing users' experience of making purchase decisions on competitive products, we added the comparison features to help users directly learn about their CSR scores instead of returning to history for reference again and again.
  • Design is collaboration! In a quite limited time to complete the whole work, it needs the collaboration and compromise from the design team and development team.
  • Actions took place in contexts and scenarios, so should design be. Walking in users' shoes to learn their needs against that background and in their situation will help to learn about their real intentions.
  • A great UX product could assist users to deliver socially-responsible outcomes by easing their pains to make meaningful but difficult choices.
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