The Common Good Data Podcast
The podcast for nonprofit and public sector leaders looking to use data and evaluation strategies to build effective and sustainable programs in the areas of prevention, mental health, human services, and education.
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Telling the story of the impact of your organization is critical to gaining support—from volunteers to donors to multi-year grants. But using data to show your impact can be challenging.
Learn how the best organizations build a culture of data that impresses funders, wins competitive grants, and changes the lives of individuals and communities.
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Drew Reynolds
Cohost
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Roger Suclupe
Cohost
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Listen to past renditions of the podcast:
The Analyst: 6 Steps to Make Data Work for Your Mission
In the nonprofit and social sector, data is everywhere—whether it’s survey responses, attendance records, financial data, or program outcomes.
But numbers alone don’t drive change. It’s how you interpret and apply them that makes the difference.
As part of a three-part series, we previously discussed the strategist, and now we’re focusing on the analyst—the person who turns data into clear insights that inform decisions.
The 3 Roles Every Data-Driven Leader Must Play
Have you ever wondered what it takes to be a successful data-driven leader?
In this episode, we’re diving into the three roles every data-driven leader must play and how mastering them can drive your organization forward.
Drew explains the three essential roles of a data-driven leader: the strategist, the analyst, and the storyteller. He shares how these roles help leaders make informed decisions, communicate data effectively, and drive strategic initiatives.
This episode is a must-listen for anyone who wants to break free from the cycle of reactive leadership and start building a sustainable, impact-driven organization.
How to Write About Data Analysis in Grant Proposals
Strong grant proposals use data to convincingly illustrate the potential impact and effectiveness of proposed programs. Yet, for many grant writers—whether applying for federal, state, or local funding—the evaluation section poses a significant challenge.
In the third installment of the Evaluation series, Drew discusses how to write about conducting data analysis when drafting successful grant proposals. He discusses:
How to align your proposed data analysis with grant requirements and your own goals and objectives
How to write about quantitative data analysis as a non-data expert
How to write about using qualitative and mixed-methods approaches in grant writing.
What grant makers are looking for you to demonstrate with respect to your proposed approach to data analysis
This episode is for those writing the evaluation section of grant proposals but aren’t necessarily experts when it comes to data and evaluation. Check out our recent blog post related to this podcast topic, The Evaluation Section Part #3: Data Analysis for Grant Proposals.