Case Study

Understanding Infant & Young Child Feeding Decisions in Ivory Coast

About

About

A B2C quantitative study exploring infant and young child feeding decisions among 100 mothers and pregnant women in the Ivory Coast, aged 18–45.Respondents spanned three segments: IMF users, YCF users, and potential users (pregnant/breastfeeding). All confirmed decision-makers on feeding choices were screened and validated for data quality.
Problem Statement

Capturing Balanced, Decision-Maker-Only Insights Across Three Feeding Segments

Understanding feeding behaviour across parents of children aged 0–36 months and pregnant women required more than a general survey; it demanded precision. The study needed to reach three distinct segments (IMF users, YCF users, and potential users) in equal numbers, while ensuring every respondent actually held sole or joint authority over feeding decisions. Without tight demographic, household, and category screening throughout, the resulting data risked being unbalanced or diluted by respondents with no real influence on feeding choices.

Solution

Segment-Balanced Sampling with End-to-End Screening

A structured quantitative survey was designed to recruit equal numbers of IMF users, YCF users, and potential users, with decision-making authority confirmed upfront and non-decision-makers screened out. Demographic, household, and category-level screening was applied consistently throughout the survey, not just at entry, ensuring balanced representation across all three segments and reliable, decision-relevant data on feeding behaviours from pregnancy through 36 months.

Outcome

A Clean, Balanced Dataset Across Three Validated Consumer Segments

100Qualified respondents surveyed across the Ivory Coast
3Equally balanced consumer segments
33Respondents per segment
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