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.

This episode is for those writing the evaluation section of grant proposals but aren’t necessarily experts when it comes to data and evaluation.

You’ll hear:

(02:22) How to align your data analysis with grantors' expectations and specific requirements.

(03:49) How to define clear objectives and goals to effectively measure and demonstrate program impact.

(05:44) Five ways to present quantitative data even if you’re not an expert in data analysis.

(11:18) How to incorporate qualitative data to provide depth and context to your findings.

(17:27) Why you should address potential challenges and limitations in your data analysis

Check out our recent blog post related to this podcast topic, ⁠The Evaluation Section Part #3: Data Analysis for Grant Proposals⁠.