KEY MESSAGES
- Greater inclusivity in humanitarian data begins with improving sampling methods. It is therefore essential to critically examine current practices and question how participants are selected for needs assessments.
- Rethinking sampling strategies allows to better understand the full range of needs within a community—particularly those of underrepresented groups. This approach strengthens the ability of humanitarian research to gather accurate data on specific issues while reducing the risk of under-reporting due to limited awareness, cultural norms, or social desirability bias.
- Concepts like the “head of household” should not go unchallenged. To truly reflect the diversity of household dynamics and voices, alternative sampling approaches must be actively explored.