PROBLEM STATEMENT
The BRAC Poverty Reduction Program was paper based, and needed a scalable white-label PAAS solution which optimized analysis, modeling and cohort success rates.
GOALS
- Convert paper based poverty reduction system into a data-rich transformative social welfare tool.
- Design and deploy a SAAS framework to capture participant data, and visually represent trends.
- Enable data collection and visualization to model future cohort success rates.
DESIGN RESEARCH
- Travel to Bangladesh and conduct Contextual Interviews with administrators and participants.
- Deployed an optimized component library in line with brand and engineering best practices.
- Created high level journey map from preliminary discovery.
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During research in Bangladesh I documented paper based system before converting it to digital assets.
DESIGN PROCESS
- Sketched solutions with PM in the field, iterated on journey maps and wireframes upon review.
- Created multiple interactive prototype models in Figma and AXURE.
- Authored thorough wireframe architectures for multiple user agents and success paths.
I created cohort service blueprints and all related wireframes in Figma.
SUCCESSFUL OUTCOMES
- Project continues to drive a 60% reduction in demographic poverty.
- Collected data enables transformative budgeting, modeling and error correction.
- Current successful PAAS platform available here.