For too long, data collection in low- and middle-income countries has been treated as something done to communities rather than with them. External enumerators arrive, conduct interviews, and depart — leaving respondents with no feedback on how their information will be used or what change it might produce. This transactional model erodes trust and often yields data of questionable accuracy.
Community-led data collection offers a fundamentally different paradigm. When trained community members gather data from their peers, response rates improve, contextual nuance is preserved, and communities develop a sense of ownership over the findings. More importantly, data becomes a tool for local advocacy rather than merely an input to distant reports.
At SAKS, we have piloted community-led methodologies in three countries and consistently found that the resulting datasets are more granular, more honest, and more actionable than those produced through conventional approaches.