You are building your algorithm based on incomplete indicators. We’re setting up a similar process and found out that to have truly unbiased, performance valuation for nonprofits, the indicator that is missing on your system is an average score based on donor input. Key word analysis and numeric score also help in this process of input. The score can only be requested after feedback loop from nonprofit is completed on the impact of the donation made by donor. This feedback loop in itself and the mapping to individual donations is core.
Nonprofit reports on donation impact (increased transparency) and we get deeper data to build a learning model from which we can paint a much clearer picture of which nonprofits are performing best.
From here AI can help drive the user experience and increase conversions.
This is part of what I’m developing at Activist.
