About
Industry 4.0
Service
Subscription platform for industry
Category
SaaS
Purpose
GoEPIK is a startup focused on industry 4.0. They offer a SaaS platforma for managing and executing processes with dashboards, workflows and visualization in Augmented Reality, Machine Learnig and AI.
Our main challenge was to develop a user-friendly and accessible platform, as we had completely different users for each device, ranging from operators to managers
Research
We chose to employ qualitative research and assisted usability tests as our main methods, as we sought a deep understanding of the individual needs of each type of user. This approach allowed us to align the platform more accurately with the specific expectations and preferences of each user group, ensuring a more efficient and satisfactory experience for all.
Dinamics
To ensure a quality outcome, I adopted an approach based on various dynamics of design thinking. These included ideation sessions, rapid prototyping, and iterative testing with target users. By employing design thinking, we were able to better understand the needs and desires of users, thus creating an MVP that effectively and satisfactorily met their expectations.
Interfaces
The interfaces were developed with a user-centered approach, incorporating usability testing, extensive research with end users, and collaborative dynamics with the internal team. These processes ensured that the interfaces were meticulously designed to meet the needs and expectations of users, resulting in a satisfactory and intuitive experience. As a metric, we established a standard rating based on our previous records and evaluated satisfaction through a combination of NPS (Net Promoter Score) and CSAT (Customer Satisfaction Score).
Another product involved the development of augmented reality and primarily virtual training programs.
Smart
In addition to the user-centered approach, GoEPIK’s platform leveraged artificial intelligence (AI) and machine learning technologies to continuously optimize the dashboard experience. Using AI, the interface learned from usage patterns to highlight the most relevant information for users, facilitating real-time decision-making. In the image recognition component, the solution also employed advanced AI algorithms to ensure high accuracy in identifying visual elements in industrial environments, contributing to automation and reducing operational errors.
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