The thesis at hand provides a comprehensive overview of heuristics in behavioral economics and analyzes their impact on decision-making processes. Behavioral economics combines ideas from psychology and economics to understand irrationality and biases in human decision-making. Heuristics are key to this understanding, as they enable individuals to simplify complex problems and make faster decisions. The thesis identifies and studies different types of heuristics, such as anchoring and adaptation, availability heuristics, representativeness heuristics, and framing heuristics. It also explores the implications of heuristics for economic theory, public policy, and market strategies. Understanding these heuristics provides insight into the complexity of economic behavior and helps develop strategies to improve the decision-making process. The thesis found that heuristics play a significant role in behavioral economics because they reveal cognitive biases and mental shortcuts that influence human decision-making. In addition, it was found that heuristics have advantages and disadvantages and that it is important to study their application in different contexts in order to obtain maximum benefits from them. Overall, this thesis contributes to the understanding of the role of heuristics in behavioral economics and highlights the potential advantages and disadvantages of their application in different contexts.