A Systems Change Framework to Impact Investing
A key factor preventing impact investing from reaching its maximum potential is the absence of robust monitoring and learning processes anchored in systems change principles.
New ways to measure and evaluate the impact an organization’s work has on society (more)
A key factor preventing impact investing from reaching its maximum potential is the absence of robust monitoring and learning processes anchored in systems change principles.
With impact investment assets under management approaching $1.6 trillion, the industry needs to build better analytical methods to make the most of every penny. A new approach from the Global Impact Investing Network may show a way forward, but the need remains for more, better, and more widely shared data.
How do nonprofits and their donors define and measure impact? Kimberly Pfeifer of Oxfam America, Stephanie Gillis of Raikes Foundation, and Fred Kaynor of DAFgiving360 join SSIR editor Barbara Wheeler-Bride to share their perspectives on social impact and tracking philanthropic success. A sponsored podcast developed with the support of DAFgiving360
In this FREE SSIR Live! session timed for a global audience, we will host a wide-ranging discussion with experts from Asia, Europe, and North America on the challenges and promises of impact measurement. How can funders ensure that they are investing their money effectively without placing undue burdens on implementers? Which measures should organizations track to ensure deep, sustained, and meaningful uptake? What lessons have evaluators acquired from creating and implementing measurement programs?
Access this webinarHow AI-driven text and voice analysis can transform impact investing strategies.
To address government workforce shortages, the public sector must apply an outcomes-driven model to its culture and change the workplace to meet Gen Z where they are.
How systemically minded philanthropy can reflect, review, and refine portfolios for scalable impact
Learning and evaluation can best serve both funders and social innovators by centering equity, trust, adaptive learning, and grantee approaches.
We need rigorous impact evaluations of AI in the social sector to ensure that it promotes social welfare.
To achieve impact at scale, funders should expect different monitoring, evaluation, and learning activities as programs mature.