The need for personalised services is on the rise. Beacon aims to bring people with ability to provide personalised services to people who are in need of services. The application is built with the intention of providing a platform for people to search and avail services. The consistent global demand for personalised services is the underlying idea of the application.
Read more about our project proposal by clicking here to download the detailed proposal.
We believe the first step towards a successful application is understanding what the users need and prefer. The requirements gathering was done using an user survey and conducting interviews. The results thus gathered were analysed to help us understand the app's underlying idea, certain functionality choices and user preferences.
Following are some important insights we received after the analysis:
Want to know more precise details about our requirements gathering and analysis process? Just click here to get our detailed report on the same.
Once the requirements were set, the next step was selecting design challenges. We selected a total of 4 design challenges. Each being crucial to the user experience in the app.
The process of coming up with the right design for each challenge followed a similar pattern of coming up with as many as 10 alternatives for each design challenge. Then we zeroed down to one design for each challenge. It doesn't stop there! Another round of brainstorming, working on the selected design help us get the right design.
Design Challenge 1: Service provider profile setup - Edit/view profile scenario.
Design Challenge 2: Viewing service provider feedback & rating.
Design Challenge 3: Booking and negotiating with a particular service provider.
Design Challenge 4: Displaying all services around an user.
Want to have a detailed look at the design challenges and the corresponding sketches? Click here to download our sketch diary.
The selected designs for the design challenges. Click on the images to see the entire design process for the particular design challenge.
The next step in the process was to evaluate the designs selected in the previous step. We performed the formative evaluation using the cognitive walkthrough method.
We developed 4 simple tasks around the design challenges mentioned earlier. The tasks had to help us refine our designs. Feedback was crucial to develop the designs and hence we encouraged users to share their feedback after each task. Some feedback helped us make crucial changes. Mentioned below are a few important ones:
Read more about our formative evaluation tasks and inferences by downloading the detailed report from here.
The low fidelity prototypes for the formative evaluation tasks.