The requirement was to revamp and merge the existing process into a single application for a child welfare, juvenile justice and adult protective services. The objective was to break down the data silos between individual agencies and make it easier for the state to collect and share real-time information on its most vulnerable residents.
As the lead designer, I faced numerous challenges while working on this enormous project. One of the significant hurdles was coordinating with a multitude of stakeholders. With each city in Maryland having its preferences and requirements, reaching a consensus proved to be a complex task.
Additionally, decision-makers unavailability during important calls hindered progress towards a unified approach. Furthermore, the sensitivity of the project, involving child and juvenile data, necessitated a strong emphasis on authenticity and security.
Another noteworthy aspect of the product was its AI-based component, which aimed to map the child ecosystem and predict risks based on near-dear relationships. We did extensive research, data analysis, and algorithmic modelling to ensure accurate predictions and enhance the system’s effectiveness.
EXISTING PROCESSES SAMPLES
UNDERSTAND
Challenges
1. To refashion and enhance the experience of their existing platform.
2. To create and implement brand guidelines for the system.
3. To convert all data from paper to digital format.
4. To fill the gaps in the existing system flow through design interventions.
1. To refashion and enhance the experience of their existing platform
Revamped features: Person Profile, Relation Card, Address, Employment, Education, Relationship, Immunisation and Finance
2. To create and implement brand guidelines for the system.
There were no existing brand guidelines, during brainstorming, we were provided a logo. I created and document complete brand guidelines for the client.
3. To convert all data from paper to digital format.
There was an ardent need to upgrade the ways of information assimilation into the system. A digital intervention was required for smooth and easy compilation of the data, which till date had been collected manually on paper and then put on to the system.
4. To fill the gaps in the existing system flow through design interventions.
After understanding the system flows and the existing features, we were able to identify a lot o gaps which needed to be filled for a fully functioning system.
To fill in the gaps, I designed few new features:
DesignBite 