Project:
Year:
Co.:
Summer Internship at Oda
2023
Agnethe Sofie Holt, Eirik Steira, Henrik Brun Fevang, Ingrid Hagen, Marie Hovland, Tobias Aanderaa Opsahl & Ulrik Røsby.
Team
During the internship, we were a cross-disciplinary product team of eight students consisting of four developers, two data scientists and two UX designers and were backed up by Sofiia Lukashevych as Product Manager. We were integrated into an existing team in Oda called Master Data, which is an enablement team working to create good solutions for internal use related to product data.
Challenge
Oda is Norway's biggest online grocery store and has about 8000 products available for customers to buy. Every product has data related to it, some useful to the customer and some useful for internal use at Oda. If this data happens to be false or missing, it can have huge financial consequences and also damage the trust customers have in the company. Our challenge was to improve data quality by using image recognition.
Process
We got to know Oda as a company from different perspectives during the first two weeks of the internship. This included many presentations at the headquarters, but we also had the chance to work at the warehouse for an entire day packing boxes and delivering boxes the following day together with drivers. This onboarding was extremely important to understand how Oda's "machinery" works and the different users the company creates products for.
Delivering boxes to customers for a day
After the onboarding, we decided to do a design sprint to kickstart the case and really understand the challenge we were given. We split the team in two so we could work more efficiently and explore different perspectives. It also contributed to better group dynamics and engaging the multiple disciplines in the process of understanding the problem and users. After the sprint, we synthesised our insights and defined our objective.
OBJECTIVE
Streamline the data handling process using images to eliminate errors and ensure accurate and up-to-date product information.
Ideation during design sprint
When creating a product it is important to think about the short-, mid-, and long-term goals and prioritize features. To align the team on what we wanted to create during the summer and what we wanted for the future, Agnethe (the other designer) and I hosted two workshops on defining a product strategy. The outcome was a board describing the vision, mission, and a MoSCoW for features. The board made it easier for team members to prioritize their tasks.
Short-term roadmap for our product
Throughout the process, we did rapid prototyping both with pen and paper and of course in Figma. We carried out 16 user tests, 12 interviews and four workshops. Our solution was a tool for managing data the product's main user was the Commerical Coordinator. During the summer, the Commercial Coordinators were very busy or on vacation making it challenging to gather enough insight and test the prototypes. However, we managed to get useful information from other relevant stakeholders in the company and document the assumptions we had to make.
Prototyping
Result
The result became a workspace for the Commercial Coordinators and a smart tool for suggesting changes to the data through image recognition. The solution increases both the efficiency and liability of product data management.
Concept video for future vision
Workspace for the Commercial Coordinator
Inspect the suggestion made by the image model
My role
During the project, I took a lot of initiative in planning the process and deciding which methods to use at what time. I put a lot of effort into engaging all the team members and creating an open dialogue to have great team dynamics. To me, it is important that we have fun and get to know each other outside of work in order to create something amazing during work hours. Therefore, I took the initiative in social events and coffee breaks.
As a designer, I like to contribute with a strategic perspective on the case, plan workshops and interviews, and do rapid prototyping. I often come up with suggestions on prioritizing tasks and defining how detailed one should design at the different stages of the process.