Statistically, every user scans 6 products a day. That means they may see the "no product view" screen everyday.
We collected feedback from Google Play and App Store reviews. It was clear that our top complaint was about the database or adding new products - our users wants more products, but they don't want to add them by the existing feature.
Our previous solution for adding products was found by interviewed users to be very time-consuming and laborious. About 70% of the application users scan and add products at the stores, so they waste their precious time entering very long compositions.
In addition, we couldn't verify the added ingredient list without physically having the product, so when someone entered the wrong composition, it caused frustration for other users.
1. Too many things to type
2. It takes too much time
3. There are a lot of mistakes or typos
4. Some of the reports are never approved
We gathered some opinions and grouped them to understand more main reasons why users don't want to use our adding products feature:
"You need more products"
#1 most common answer
“It happens that I have time to submit a new product, but entering the ingredients takes forever. I would rather take a picture of the composition than enter it by hand”
"I used to add new things only when I wanted to know the score. But there were mistakes anyhow, so I stopped doing it."
“I don't add products anyway because they don't go straight to the application."
After collecting all the data, we concluded a problem statement:
During user interviews, users often said that they would love to take a photo of a long ingredient's list than typing all by hand. We decided to try automate the whole flow, but we needed help from our users. As our community is really engaged to contribute to our app, we decided to ask them of taking 3 photos of unknown product - with 1. The product's front, 2. With the ingredient list 3. With nutrition values.
3-step photo for identyfying product, composition and nutritional values
Immediate send to the database and connecting with OCR
Getting result product view with generated score and gathered info
The process of adding a new product is divided into three main steps, where the user is asked to take photos of the front, ingredients and nutritional values.
After submitting the report, it is sent to the panel where the ✨OCR Magic✨ happens - cropping the background of the primary photo and all the necessary information.
When all information is successfully processed, the user receives a notification about the added product.
You can go through all the feature by yourself in Figma prototype below.
