Another way to identify the root cause is to use data and evidence to support your analysis and validate your assumptions. This data can come from surveys, interviews, observations, reports, statistics, or experiments. With this data, you can test hypotheses, compare scenarios, identify patterns and trends, and measure the magnitude and impact of the problem. For instance, if you want to uncover the root cause of malnutrition among children, you can use data and evidence to answer questions such as how many children are affected by malnutrition and what are the consequences for their health and development? You can also explore the main sources and types of food available and consumed by the children and their families as well as environmental, social, economic, and cultural factors that influence food security and nutrition. Additionally, you can determine existing policies, programs, and services that address food security and nutrition of the children and their families, as well as how effective they are. Data and evidence can help you identify the root cause of a problem with more accuracy and confidence.