iOS, Android | B2C IoT | 2022-2023
On a previous contract, I worked with a company that was creating a weather data network. They were selling IoT weather stations to end-users, and they collecting weather data in exchange for crypto tokens.
One of the biggest pain points, for both the company and the team, was the proper station installation. This has a lot of requirements, and if it's not performed correctly it greatly reduces the data quality of the station's sensors
I created this prototype to test the idea with users. There was not team behind this.
Create an AR helper tool to make installing a station as easy as possible. Provide a tangible way to understand where the station should be installed.
This is a simplification of the process followed in this project. The actual process was a lot more iterative, with many back and forth as we gained new understanding and we received more insights and evidence.In this short selection of steps we wont see all the steps we followed
The company's business model was based on good quality weather data, provided from stations that were properly installed and maintained. This was critical to the success of the project, as it would otherwise make it impossible to close the loop and sell the weather data to third parties/clients.
This clearly shown us that there are a lot of pain points for people joining the company's network. The instructions weren’t clear, and the steps that needed to happen on the app were not user-friendly, as they required a lot of buggy, and manual input from the users
In collaboration with the UXR Team we arranged some contextual inquiries observing users setting up the company's stations, claiming their devices on the app, and using it to make sense of the data.
These sessions showed us that there were a lot of parts of the onboarding experience that needed fixing as people were confused at times.
Also, setting up a station required a lot of steps users were not aware of, making it harder to properly setup one.
The app, on the other hand, required users to do a lot of manual steps that made the whole experience a bit frustrating at points.
This step helped us to understand and showcase the need for a way to improve user understanding of how the station should be installed. As well as one to help understand if and why a station that is already installed, has any issues
After viewing the installation images in the community portal, we worked with the meteorologists and UXR to identify and measure the extend and impact of the problem.
Users seem to get the idea of how they should use this tool. Also, it helped to understand some of the most important parameters for when installing a weather station
We did a short user testing to check for understandability and usability of the proposed tool. The results were encouraging, yet, this requires more testing and refinement, as it is an advanced concept and needs more tweaking before releasing.
iOS, Android | B2C IoT | 2022-2023
Back-Office Web App | B2B SaaS | 2022
Back-Office Web App | Internal | 2020
Web App | B2B2C SaaS | 2021
iOS | B2C SaaS | 2018 - 2019
Web AR App | B2C Concept | 2023