CISDI/PN PRIMA
Improving Reporting, Supporting, and Education Workflow
Overview
PN PRIMA is a decision-support tool for Community Health Workers (CHWs) and health workers in Bekasi and Depok. The app enables CHWs to provide support, education, and reporting for pregnant women and children with nutritional issues. This project focuses on simplifying data collection and delivering timely, condition-specific education.
Scope
Product Alignment, Product Design, Hi-Fi Prototyping, Testing
Industry
Healthcare NGO
Live site
PN PRIMA Mobile App
New design
Old design
The problem
Handling extensive data
CHWs collect large amounts of child data daily, making manual calculations slow and error-prone.
No formal health background
CHWs receive only short-term training, making clinical nutritional assessment difficult.
Education not condition-specific
CHWs receive educational materials, but they must search for them manually, and the content isn’t automatically tailored to each child's condition.
The process
Benchmarking similar platform
We benchmarked multiple CHW-focused platforms, including those currently used in the field, to identify common patterns, best practices, and improvement opportunities.
Key insight:
WHO curve ensure accurate and efficient data recording
Form split into smaller, managable sections.
Clear hierarchy and navigation.
Engaging and intuitive UI with illustrations.
Key design decisions:
Solution
Forms divided into smaller sections
To reduce cognitive load, minimize errors, and make data entry faster, we divided long forms into smaller, logical sections using a step-by-step flow.
Using step-by-step forms reduced intimidation and matched their mental model.
CHWs are community members who are selected, trained, and volunteer to support health services in their area.
Most of them are over 40 years old with limited tech skills.
Design decisions
Solution
Automated anthropometry curve
To support CHWs who handle extensive data and lack a clinical background, the system automatically calculates nutritional status based on validated anthropometry curves.
This ensures accuracy, reduces errors, and speeds up their daily workflow.
Solution
Tailored educational messages
Educational messages are shown based on each child’s condition. We transformed health education into simple, relatable copy with illustrations (with help from ChatGPT). The content adapts to the child’s status. Making it easy to understand, supportive, and non-judgmental.
We used an Instagram Story–like interaction, as CHWs were already familiar with this pattern.
Challenges & iterations
Stakeholder needs
Stakeholders requested richer and more detailed educational content.
Technical limitations
Rich content and dynamic font sizes required vertical scrolling, which disrupted navigation. Tapping behavior also created interaction conflicts, making the experience feel inconsistent.
Time constraints
CHW workflows are time-sensitive. Any solution must be fast to implement and cannot slow down data collection.
Solution
Simple but easy to use
We iterated on the educational message layout and interactions.
To solve the limitations, we adopted a simpler layout that was easier to navigate and more reliable across different devices.
Result
Impact & Outcome
The redesigned workflow is actively adopted by Community Health Workers (CHWs) in the field, supporting ongoing evaluation and iterative product refinement.
Reflection
Lesson learned
Designing in the real world
I learned to design for real constraints: low tech literacy, accessibility needs, tight timelines, and unpredictable field environments.
Balancing many voices
Working with multiple stakeholders taught me how to mediate priorities while still protecting core user needs.
Simple beats fancy
This project reinforced that the most effective solutions are often the simplest—especially for users who need speed, clarity, and reliability.
