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Oda as a tool for planning
A project by: Ishita Chawla & Sunniva Larsen
In collaboration with: Oda
Arkitektur- og designhøgskolen i Oslo
Spring 2023 // GK6 - “Design fordypning” - interaction and service design
Duration: 9 weeks
A project by: Ishita Chawla & Sunniva Larsen
In collaboration with: Oda
Arkitektur- og designhøgskolen i Oslo
Spring 2023 // GK6 - “Design fordypning” - interaction and service design
Duration: 9 weeks
Prototyping
Prototyping
Deep research
Deep research
Analyzing complex systems
Analyzing complex systems
Key words: UX and Service design, Behavioral change, Tools for planning
Key words: UX and Service design, Behavioral change, Tools for planning
The case
Oda, Norway's biggest online grocery store, gave us a brief asking how to attract more regular users to their platform. As this was a fairly open brief, we were given time to explore, research, and collect sufficient data.
The case
Oda, Norway's biggest online grocery store, gave us a brief asking how to attract more regular users to their platform. As this was a fairly open brief, we were given time to explore, research, and collect sufficient data.
Our project
Our project was explorative, and focused on personalization based input from the user. Instead of focusing on a single function or idea, this project produced several uses for user data weaved together.
The beginning of the project we did a deep dive on the concept and psychology behind routine, with key insights that stayed with us throughout the rest of the project.
We later iterated and created several prototypes of ideas and possibilities we discovered for the app. The main question we asked ourselves was how to make Oda even more personal, combined with how to stimulate habit change.
Our project
Our project was explorative, and focused on personalization based input from the user. Instead of focusing on a single function or idea, this project produced several uses for user data weaved together.
The beginning of the project we did a deep dive on the concept and psychology behind routine, with key insights that stayed with us throughout the rest of the project.
We later iterated and created several prototypes of ideas and possibilities we discovered for the app. The main question we asked ourselves was how to make Oda even more personal, combined with how to stimulate habit change.
We continued to explore and iterate using two prototypes as a foundation, and tested them prototypes on several students, Oda users, and non-users, and used the feedback we received to make improvements. My main focus during this particular process was to make our ideas seem feasible and integrate them into the interface.
We continued to explore and iterate using two prototypes as a foundation, and tested them prototypes on several students, Oda users, and non-users, and used the feedback we received to make improvements. My main focus during this particular process was to make our ideas seem feasible and integrate them into the interface.
We wanted to highlight the "lists" function and provide the user with ideas for using it because it had received positive feedback from multiple users.
We wanted to highlight the "lists" function and provide the user with ideas for using it because it had received positive feedback from multiple users.
Once you have made a few lists, the page will become an easily accessible personal library of grocery lists.
Once you have made a few lists, the page will become an easily accessible personal library of grocery lists.
This section allows users to create, customize, and save their menus for the week. In addition to this, users can do the same to each recipe existing on Oda's platform.
This section allows users to create, customize, and save their menus for the week. In addition to this, users can do the same to each recipe existing on Oda's platform.
The last section presents methods for collecting data from the user to make Oda personal. This can be translated into swapping out ingredients and recommending recipes based on feedback on previously bought recipes. The user can readily view and modify the data gathered in these steps via the profile page.
The last section presents methods for collecting data from the user to make Oda personal. This can be translated into swapping out ingredients and recommending recipes based on feedback on previously bought recipes. The user can readily view and modify the data gathered in these steps via the profile page.
