The Future of Retail
Prompt: Using machine learning create positive and negative experience surrounding the use of retail in the commercial sector.
Part I: Understand the user and the store
- Observations in the retail space.
- Interviews with store owners/managers to better understand customer needs.
- Construct Personas
- As is User journey maps
- Identify pain points and points of opportunity
- Construct user scenarios
- Integrate results from Cultural Probes to inform scenarios.
Part II: Prototyping and Refining
- Narrow down concepts and create alternative task flows
- Create “To be” User journey maps
- Body Storming—explore concepts in use in the Store
- Revise and develop rough prototype
Part IV: User Testing
- Narrow down concepts and create alternative task flows
- Create “To be” User journey maps
- Body Storming—explore concepts in use in the Store
- Revise and develop rough prototype
Part V: Refining
After we got feedback from our users, we took away several key concepts:
A.
B
C.
And incorporated these concepts into the final UI Design.
Part VI: Scenario Video and Presentation
We then created a scenario video and presented our work to the design research and analytics team as well as the CEO of the company.