In this module, we will explore how to identify key problems when conducting research and how to engage teams of experts in identifying these issues. To accomplish this, we will introduce the problem tree methodology. Additionally, you will learn about variables, how to identify and analyze a problem, and the concept of indicators.

In this module, you will explore the key factors for data collection and various methods for analyzing them. It is important to keep in mind that the method selected for analysis depends on the type of data we are using. Understanding these methods will help you comprehend the relationship between the data and its significance. Specifically, you will learn about data collection strategies used in the public sector, types of studies that can be conducted, different analysis techniques, data conversion into variables, some tips on data quality, among other topics.

In this module, you will explore the use of graphical visualizations to display research results or to understand the results presented to us: as decision-makers, we are not always directly involved in the study, but we receive reports that we must not only understand, but also evaluate.

We have reviewed the path from problem identification to data analysis and visualization. Now, we have the most important task ahead: applying this knowledge to decision making, especially in the public sector. In this module, you will study a flowchart that represents the complete process from data to policy planning, including the evaluation phase. You will understand how this stage is essential for measuring the success or effectiveness of a policy.