The Nonprofit Boost: Leveraging Corporate Support for Fundraising Success
Jun 22, 2026 · 42 min · 14 segments
Many organizations confuse extensive data collection with genuine donor connection, leading to extractive surveys that alienate their community. When you ask deeply personal questions without offering…
Meena DasGuestJaland LimHostBut of course, for those who aren't so familiar with you, so today we are with Meena Das and she is the CEO of Namaste Data and data is for everyone.
And her work focuses on helping nonprofits approach data more equitably and more humanely through things like community surveys, data collection assessments, and workshops on data equity and human-centric algorithms.
So, Meena, what I'm gathering is even though you always deal with data, you always find a way to connect it back to people.

The pen that I have right now here in my hand, that can be turned into data by the number of clicks it can do, the ink it has, the grip size it has.

Everything around us can be turned into numbers and those numbers have stories in it.
Well, I have been looking forward to this conversation and for what is surely going to be like a story, story time with you, because I think it sits right at the intersection of a few things that nonprofit and school leaders are feeling every single day.
I mean, there is pressure to collect more data, just collecting more, just storing more.
And aside from that, an additional pressure that they are dealing with is how to personalize their fundraising and stewardship more effectively.
And well, since we are in this modern world, on top of all that, there is also growing curiosity around AI.
And one of the things that I really appreciate about your background, your work, and something that we at Double the Donation also always keep at the heart of all of our efforts is that you keep bringing the conversation back to something more human.
It's about people, trust, context, and how organizations make better decisions about the communities and the supporters they serve.
So today, what I wanted to talk about is what nonprofits and schools really should be measuring, how they can listen better through surveys and feedback, and of course, what a healthy human-centered role for AI might actually look like in that process.
But of course, for those who aren't so familiar with you, so today we are with Meena Das and she is the CEO of Namaste Data and data is for everyone.
And her work focuses on helping nonprofits approach data more equitably and more humanely through things like community surveys, data collection assessments, and workshops on data equity and human-centric algorithms.
So, Meena, what I'm gathering is even though you always deal with data, you always find a way to connect it back to people.

The pen that I have right now here in my hand, that can be turned into data by the number of clicks it can do, the ink it has, the grip size it has.

Everything around us can be turned into numbers and those numbers have stories in it.
Well, I have been looking forward to this conversation and for what is surely going to be like a story, story time with you, because I think it sits right at the intersection of a few things that nonprofit and school leaders are feeling every single day.
I mean, there is pressure to collect more data, just collecting more, just storing more.
And aside from that, an additional pressure that they are dealing with is how to personalize their fundraising and stewardship more effectively.
And well, since we are in this modern world, on top of all that, there is also growing curiosity around AI.
And one of the things that I really appreciate about your background, your work, and something that we at Double the Donation also always keep at the heart of all of our efforts is that you keep bringing the conversation back to something more human.
It's about people, trust, context, and how organizations make better decisions about the communities and the supporters they serve.
So today, what I wanted to talk about is what nonprofits and schools really should be measuring, how they can listen better through surveys and feedback, and of course, what a healthy human-centered role for AI might actually look like in that process.
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