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
- Design and deploy a PAAS framework to capture participant data, and visually represent trends.
- Ensure more participants can successfully complete program with fewer errors in less time.
- 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.
During research in Bangladesh I documented paper based system before converting it to a design system.
Design Process
- Sketched solutions with PM in the field, iterated on journey map and wireframes upon review.
- Created multiple interactive prototype models in AXURE.
- Authored thorough wireframe architectures for multiple user agents.
I created journey map and all related wireframes in Sketch.
Successful Outcomes
- Deployed MVP of crucial NGO tool for eliminating poverty.
- Increased plan efficiency by reducing both program time and participant costs.
- Current successful PAAS platform available here.
KEVIN KEIPER
UX Director + Design System Architect
415 926 1935
MY
SKILLS
Coaching, mentoring, guiding, volunteering, vocalizing, optimizing, critiquing, collaboration, organization.
EDUCATION
University of California, Berkeley
BA Interdisciplinary Studies
The New School - Parsons
MA Media Studies + Design
(currently completing online 2022)
(currently completing online 2022)