Selected Research Projects
Selected research case studies exploring real user behaviors, complex system challenges, and measurable outcomes.
Optimizing Public Health Delivery: A Generative Approach to SATUSEHAT’s Immunization Features
A digital intervention within the SATUSEHAT ecosystem to diagnose systemic bottlenecks and map out digital solutions for Indonesian child immunization.
Core Outcome
Organizational TransformationScaled Impact
Thousands of Caregivers Served
Other Significant Projects
Transforming B2B Corporate Banking: Architecting an 'Audit Ready' State Tax Solution
Reactivating Dormant Automotive Agents Through Mixed Methods Growth Research
Optimizing Information Architecture in SATUSEHAT Mobile App
Research Artifacts & Methodological Toolbox
Note: To comply with non disclosure agreements (NDAs), sensitive proprietary data and corporate branding have been strictly sanitized or blurred
User Journey Mapping
Synthesizing end to end user behaviors, multi channel touchpoints, and systemic friction points. I leverage journey maps to align cross functional squads and uncover high value opportunities for product optimization.
User Archetypes
Developing data backed behavioral archetypes to segment user needs and patterns. These artifacts guide long term product strategy, focus design decisions on core user goals, and build cross functional organizational empathy.
Importance Performance Analysis
Deploying Importance Performance Analysis (IPA) frameworks to diagnose post launch feature satisfaction gaps. This quantitative metric provides product teams and executives with clear, data backed prioritization roadmaps for subsequent development cycles.
Card Sorting
Executing open and closed card sorting studies to evaluate user mental models. This generative approach maps out how users naturally associate items, helping designers and content strategists optimize complex information architecture.
Tree Testing
Conducting evaluative tree testing to quantitatively validate navigation and information hierarchy. This method ensures that newly designed categories achieve high discoverability and intuitive user pathways before moving into UI production.
T-test for A/B Testing
Applying rigorous statistical validation to A/B testing variants using Independent and Paired T-tests. By evaluating normality distributions and significance values (p-value matrices), I ensure that design iterations are driven by definitive quantitative data rather than assumptions.
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