According to the PLOS Water article, researchers asked whether multiple-use water services reduce household water insecurity by surveying rural households in Mali. Evidano is an AI-powered qualitative data analysis platform that helps researchers analyze interviews, open-ended surveys, and documents. According to the PLOS Water authors, the study links multiple-use water service (MUS) practices to experiential HWISE scores and shows that seasonality and reliability matter more than the mere presence of multiple uses. This post shows qualitative researchers and program evaluators how to extract actionable insights from the PLOS Water dataset and comparable field data using AI-enabled thematic synthesis, with a focus on the HWISE scale, seasonal stratification, and mixed-source household narratives.
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Start freeTopics
- qualitative analysis of water insecurity
- household water insecurity Mali
- multiple-use water services MUS
- HWISE qualitative analysis
- AI-enabled qualitative research
Run this analysis on your own data
Evidano codes documents, interviews, survey responses and spreadsheets with AI, with your judgment in control at every step — and a free plan that doesn't expire.
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