From Insights to Action: Using evaluation results to inform decision-making

This demonstration will address the critical link between evaluation results through formal processes of reporting (e.g., to parliaments, boards, senior management), and their practical application in decision-making. We emphasize the urgent need for inclusivity in interpreting and integrating evaluation findings, an aspect often overlooked in traditional evaluation approaches. The goal is to empower evaluators and decision-makers to make better data-driven decisions while amplifying the voices of underrepresented groups.

Understanding the significance of evaluation results is crucial as they serve as a strategic compass for optimizing resources, enhancing effectiveness, and achieving desired outcomes of ongoing programs and future initiatives. To illustrate this, the demonstration will explore real-world case studies from programs in the fields of violence prevention and public health.

The case studies will highlight both effective and ineffective evaluation practices to exemplify the impact of inadequate decision-making practices on target populations we aim to help or issue areas. For example, we will delve into the "Scared Straight" violence prevention program, that was implemented for over 30 years despite data demonstrating its harmful outcomes on the target population.

We will then examine the role of decision-makers and tools that can help foster a culture where evaluation findings are not just received but actively sought and effectively utilized. Bias awareness training and red teaming (a process of creating a dedicated group tasked with identifying weaknesses, vulnerabilities, and biases in decision-making processes) are two of the tools that will be discussed. These tools can help identify and address biases that lead us to selectively interpret data that contradicts perceived beliefs or preferences, hindering our ability to make objective decisions. Certain biases even cause us to seek out or disproportionately value information that confirms our knowledge and experiences rather than considering all available evidence equitably, further impeding the use of data-driven results in decision-making.

Finally, participants will engage in a perspective mapping exercise, exploring diverse viewpoints and biases related to a specific topic through discussions using an interactive scenario. This self-reflection exercise will help participants identify and overcome biases by encouraging consideration of alternative perspectives and fostering a more inclusive and objective approach to decision-making.

In conclusion, our demonstration aims to equip participants with practical tools and insights to navigate the critical link between evaluation results and decision-making processes. By highlighting real-world case studies, discussing the role of decision-makers, and engaging in perspective mapping exercises, we strive to foster a culture of inclusivity, data-driven decision-making, and bias awareness in the monitoring and evaluation landscape.