A Practical Guide to Measuring Mentorship Impact
This guide is organized into four sections, each with linked resources you can use directly or adapt for your program:
1. Collecting the Right Data
Start here if you want to know what information to gather and how to gather it. This section includes a menu of survey and interview options, continuous feedback loops to keep evaluation alive during the program, and tools for capturing outputs from mentorship pairs.
2. Data Analysis Frameworks
For those who want to go deeper. This section introduces multiple ways to make sense of your data, from lightweight diagnostics to established evaluation models (Brinkerhoff, Guskey, RE-AIM, Bennett’s). Each framework comes with practical notes on how it can be applied in mentorship contexts.
3. Reporting and Storytelling
This section shows how to translate raw data into insights leaders and participants will understand. It includes a sample dashboard, KPI and story templates, and guidance for collecting creative “impact artifacts” that highlight both human and organizational growth.
4. Scaling & Sustainability
If you want to make evaluation repeatable and lightweight over time, this section provides strategies and templates for archiving outputs, reusing tools, and embedding feedback into program culture so insights accumulate across cohorts.
📌 Use this as a roadmap. Each section is linked—click where you want to dive in and adapt the tools that best fit your context.