Lead and solo designer — discovery, user research, design, animation, testing
N. is a new restaurant app with over 300 restaurants and cafés in Lucerne. The task is to assess and improve the home screen to help users discover restaurants to go to.
The targeted audience is local people, not travelers. The purpose of the home screen is to help users discover restaurants to go to. The business goal is to make this page more dynamic to incentivise users to open the app more often.
I had the business goal but didn’t know what is the user goal — what do they want? The solution should achieve both goals as well.
People don’t usually use apps just for fun, they want some jobs to be done for them. I wanted to know why people go to restaurants, what’s important to them, what are their core needs.
To find the answer, I asked users why they visit restaurants and what’s important for them when selecting the right one. I put the interviews results on stickers and grouped similar ones to find patterns.
I used personas method to better understand my users. I had two main types of target users — people who like to explore new places and people who want to save money in their favorite restaurants.
Personas help me to understand for whom this product is. Job stories helped me to concentrate on their needs and the context of use. As I’ve defined the main users’ needs, now I can create job stories:
I didn’t have access to any analytics of the app usage. I conducted a user testing of the current app to discover how users interact with it and what pain points they have.
The “Hero recommendation” section confused the users — it wasn’t clear what it’s about and how it works. Also, it doesn’t contain any rating or reviews — this info was very important for users to make a decision.
The “Picked by editors” section wasn’t important and interesting for the users at all.
The “Categories” and “Cuisine” sections seemed very similar to each other. The users can’t understand what was the real difference between them from the first look.
When clicking the “Categories” item the users were frustrated that they can’t filter the list of restaurants by cuisine type or rating.
The “Top rated” section was much more useful for the users than the “Hero recommendation” because it showed the rating/reviews and users could quickly compare different restaurants.
I limited the number of categories to 6 because according to the Hick’s law increasing the number of choices will increase the decision time. Instead of food photos, I used light icons because they are easier to scan and differentiate the categories.
The user also can quickly add recommended restaurants to their own collection. This can increase the user’s engagement and as a result — motivate them to open the app more often.