Industry Project

Industry Project is a 24-hour cross-disciplinary collaboration presented by one of BrainStation’s visiting industry partners.

Teams composed of members from UX/UI Design, Data Science and Web Developers were presented by representatives of Shopify to create a unique solution for their Problem Space.

Objectives

The Hackathon 24 hour cross-disciplinary challenge was aimed to create understanding of the roles for each of the specific disciplines, as well working with other departments within a real-life scenario. The challenge taking place over a 24 hour period was designed to create a stress related experience and enhance inter-personal collaboration amongst its members.

Problem Space

How can Shopify use its ecosystem to help lower the barrier to entrepreneurship in new regions, demographics, and business sectors?

Secondary Research

Understand more about what are some of the most common issues that arise for entrepreneurs. The most common was the customer relations aspect.

How Might We


How Might We find a method to increase efficiency of customer support for small to medium sized e-commerce stores to grow their business?

Goals

The Facts

Therefore

Persona

A Customer Support Solution: Chatbot


Importance of Chatbots

Chatbots are not a new concept, and they are not new to Shopify. The idea however of collating data on each individuals e-commerce store and the requests that are presented through the customer service questions, can give merchants more data on information that is being inquired about.

Being able to collect data on frequently asked questions allows the customer to keep their privacy, but also allow for analytics to develop and aid the merchants in other aspects of their business that will be valuable for growing their store and brand.

UI Inspiration

Chatbot Inspiration

Dashboard Inspiration

UX/UI Designer Aspects

Customer Facing

Merchant Facing

UI Library

Type Scale

Iconography

Brand Colour Guidelines

Word Mark

Shadow Style

The Data Scientist on the team took care of the information about AI chatbot development, and how the remodelling of the chatbots operate, and once the interface designed by the UX/UI Designers was complete the Web Developers took over to program the design.

Data Science Department

Conversational AI for ChatBots (NLP)


Conversational AI and Personalized Features


Classification for Customer Support Data


Next Steps

Conclusion

Learning Takeaways

Completing a challenge with a strict time constraint taught members of the team how to work effectively and efficiently within their own departments of discipline as well as learning the roles of their counter-parts, and stress management in a highly competitive environment.

Personal growth throughout the challenge

  • Understanding my own role, as well as the roles developers and data scientists

  • Team leadership and project delegation

  • Stress and time management

  • Recognizing limitations of what can be done in a time constraint as well as weighing value on the work load presented to other departments