This study examines a method to collect and explore data on the conditions that could lead to crises due to microfinance clients’ over-indebtedness. A simplified version of one of the main approaches to early warning systems, the “signaling approach”, is proposed to construct a composite index for predicting over-indebtedness crises in the microfinance industry. The index is built for a sample of 13 countries, among them countries where overindebtedness crises and other repayment occurred in the past. Data stems from a triangulation of primary and secondary data sources. The sample results in a preliminary classification of the countries according to their current risk for an over-indebtedness crisis. The study suggests the proposed preliminary composition of the index and makes recommendations on the data collection for further validation of the index before it is expanded to a larger set of countries.