Research & Monitoring
Poket helps researchers, nonprofits, public agencies, students, and monitoring teams stay closer to what people are actually experiencing on the ground. Whether you’re leading social science field research, participatory studies, implementation research, longitudinal follow-up, or behavior change monitoring, Poket makes it easier to collect reporting from participants and field teams, verify what comes in, share updates and resources back to users, and turn field data into clearer visibility, stronger learning, and better decisions.
Built for participatory research, behavior change monitoring, self-reported data, longitudinal studies, Photovoice, and mixed-methods field research.
From social science field research and participant-led studies to implementation research and MEL, Poket supports teams that need richer field inputs, more frequent reporting, and better visibility into what is changing over time.
Sample Use Cases
Participatory research and participant-led data collection
Social science field research across communities and programs
Behavior change and social norms monitoring
Longitudinal studies and repeated participant follow-up
Implementation research and real-world program learning
Mixed-methods research using surveys, voice notes, photos, video, and location data
Photovoice and participant-generated visual research
Student-led field research and community-based studies
Monitoring lived experiences, barriers, and behavior change over time
Community-based monitoring and citizen-generated reporting
Sharing reminders, resources, and feedback back to participants
Turning research and monitoring data into dashboards, maps, AI-assisted insights, and faster learning
