Erin MacKenney from the St John Learning Exchange discusses her journey to implement a data plan and outcomes-based funding model. Through collaborative efforts and engaging practices like 'data parties,' she's embraced a culture of data-driven decision-making. Erin's expertise highlights the importance of focused learning, balanced with a commitment to progress over perfection, for nonprofits navigating similar paths. Key Takeaways Transitioning to an outcomes-based funding model can provide more freedom and flexibility in achieving key outcomes. Engaging the team through data parties and collaborative processes can help overcome resistance and build buy-in. Developing a quality of life survey can capture valuable insights and empower learners to reflect on their own progress. Continuous refinement and improvement are essential in data management and analysis. Nonprofits should focus on their own expertise and involve stakeholders in the data process. Chapters 00:00 Introduction and Background01:21 State of Data and Insights Prior to PDI Program05:30 Key Outcomes and Measurement09:35 Engaging the Team and Data Parties12:28 Developing the Quality-of-Life Survey15:37 Collaboration and the Data Analysis Working Group20:41 Refinement and Continuous Improvement23:32 Designing the Quality-of-Life Survey31:13 Balancing Realism and Optimism39:31 Recommendations for Other Nonprofits44:01 Conclusion and Contact Information Guest Bio Erin has a background in education and close to 10 years of experience working in poverty reduction in the non-profit sector. Throughout her career she has developed a passion for evaluation as a means to understand impact. Currently she is the Program Director and Measurement, Evaluation and Learning Lead at the Saint John Learning Exchange in Saint John, NB Canada. In her role she leads the charge in developing stronger and more efficient data collection processes, creating and incorporating new tools, building the organization's data culture, and getting the team excited about the impact of their work. She loves to make talking about data fun and has been known to throw a great data party!