Mission
To help researchers recruit suitable verified participants through a structured process, while giving participants a safe and clear way to contribute to meaningful research.
Building a clearer way to connect research with real
people.
Mofeed was created to make participant recruitment easier, safer, and more reliable for researchers, while giving people a trusted way to participate in meaningful research studies.
Why Mofeed exists?
Research often depends on manual outreach, personal networks, public forms, and scattered communication. This makes it harder for researchers to find the right participants and harder to trust the quality of collected responses.
Mofeed exists to create a more structured way to recruit participants, protect participant privacy, and help researchers collect data that is easier to review, organize, and analyze.
Our direction.
Vision
To build a trusted research ecosystem where universities, organizations, researchers, participants, and analysts can work together with less friction and better research quality.
Goal
To reduce the manual work behind participant recruitment, improve participant matching, protect privacy, and support cleaner research outputs from study setup to analysis.
What Mofeed connects.
Mofeed is built around three sides of the research process: the people who run studies, the people who participate, and the people who help turn data into insight.
Researchers
Publish studies and recruit verified participants.
Researchers can publish studies, define participant criteria, set timelines, and collect responses from verified participants.
Participants
Join studies and earn rewards.
Participants can discover relevant studies, complete research tasks, and receive rewards through the Mofeed mobile app.
Analytics support
Turn collected data into insight.
Analysts can help organize, summarize, interpret, and present collected research data when deeper analysis is needed.
Research recruitment should be more reliable.
Manual recruitment is slow
Researchers often spend too much time searching, filtering, and following up with participants manually.
Participant fit is difficult to control
Without clear criteria and verification, researchers may collect responses from people who do not match the study requirements.
Data can become difficult to manage
After collection, researchers still need to clean, review, summarize, and prepare the data for analysis.
Trust matters
Participants need privacy and clarity, while researchers need confidence that the collected data is relevant and usable.