Eli is a company created in 2021 by 2 friends and myself. Eli helps companies and schools involve their members in their carbon footprint reduction strategy in a fun way.

The Eli solution consists of a mobile application and a web management platform that allows managing personalized actions within group challenges in conformity with the strategy of reduction of carbon footprint of the customer structure.

The mobile application allows you to participate in specific group challenges. These challenges propose actions at different levels to involve everyone to take action.

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The problem is that users do not understand that actions have several difficulty levels.

This level principle is the foundation of the application and has a direct impact on user retention.

Indeed, in each action category, there are several details of actions in the form of swipe cards to adjust the difficulty level you want to accomplish. But this swipe is not easy to understand.

In order to help the user, we decided to direct him in handling this operation by displaying a stack of cards on the challenge screen and putting level indication points in the details of the actions.

After having created a one-week public LinkedIn challenge to make our application known, I analyzed the responses to the form post-challenge as well as the analytics of the application to realize that this modification was not enough and that of the 30 people who participated, 17 had not understood that they could vary the level of difficulty.

The designs have therefore changed to bring out verbatim the levels in the reception and the detail of the actions.

We then studied the behavior of users with this update. During a month-long challenge in a company, out of 80 people, 20 had not understood after a week that the actions had several levels and therefore felt blocked in the realization of their actions.

The designs then evolved to focus on the arrows allowing the change of action in detail and setting up a pop-up warning the user when he first clicks on this page that he could navigate horizontally here.

After adjusting these last details, and testing with 400 users, the swipe system seemed well understood since only 1-2% had ever performed a swipe in the detail of an action.

Thanks to the help of the developers and solid analytics implemented, we were able to improve the understanding of the Eli application for its users in an agile way and always with reliable user feedback (qualitative and quantitative).

If you want to see more on Eli check the website: www.eliapp.io

Or read the overview of the project in the article "Eli: a complete project overview".