CARE staff around the world talk about experiences we learn from failure, and how we use that to get better at our work.
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The smartest move in AI today is to evaluate what works before you scale on excitement alone. What happens when Low and Middle Income Countries start pulling investments away from traditional health, judicial, or extension systems in order to build AI solutions instead? It can have huge upsides, but if you're only testing the AI and not the impact for people, it could lead to "irreversible…
Cocoa income comes just twice a year, but families need stability every day. Carol Miloky (CARE) and Fatou Ndiaye (Mars) unpack what they learned from a decade of working with cocoa‑growing families. Savings groups were helping women build businesses, but without stronger household planning and clearer financial decision‑making, those gains didn’t always translate into lasting resilience. Over…
Amanda Larson and Aimee Mateo talk about building health technology in the Philippines . HEAL Hub is an app that helps local health workers stay up to date on training and the materials they need. But the health workers aren’t who you think they are: in many areas, health workers are on average 60 years old, and handing them a smart phone is not going to immediately translate into results, no…
Ask yourself, 'Did the system become stronger because we were there?’” That’s the biggest piece of advice Nelima Otipa and Nithya Ramanathan from Nexleaf Analytics have for you about trying to scale up technology. It’s not about building the perfect tech. It’s about seeing people as actors in their own systems. You need to adapt with governments, not sell to them. Inspired by their article on…
What happens when your brand new tool makes things worse for low performing entrepreneurs? Or restricts your most successful teachers so they can't unlock the full power of their skills? One of the most important questions you can ask about an AI tool is NOT, "is it working?" You really need to ask, " who is it working for ?" and " How did the change happen ?" Crystal Huang from IDinsight and…
Robots that get stuck in the mud, a "successful" product a farmer will never use more than once, and a financial model clients can never pay for. Listen to Ankit Chandra and Ishani Lal talk about their article, Why AgTech Startups Fail , what inspired them, and what they learned. The core lesson is that we need to change what counts as success in AgTech. Success is not "does it work in the lab?"…
Lindsey Moore was working in AI before most of us knew what it was, and she can tell you the most common mistakes to avoid. Ignoring context, building ever more precise models that provide terrible answers, and assuming that AI will replace smart strategy and human decision-making are three on the top of her list. If you're looking to do more with AI, she recommends you invest in learning good…
Eric Kaduru and Julia Arnold talk about why simply distributing phones doesn't help people--especially women--access the internet. After seeing free phones get broken, stolen, or cause men to punish women for owning phones, they needed a new plan. Instead, they talked about learning from HIV prevention campaigns in the 90s, demystifying something complex, and making learning accessible. Social…
CARE has a more than 30 year history with savings groups--starting from the lowest tech version you can possibly imagine: 25 women with a box and a notebook in Niger. Building on that, in 2013, we launched the process of building Chomoka--an app that would help women in savings groups manage their record keeping and connect to digital finance. Christian Pennotti talks about that journey, and why…
What happens when you try to build an AI tool that works for women entrepreneurs – and it totally flops? In this episode of Failing Forward, CARE’s Koheun Lee and Sarah Hewitt share the story of their ambitious attempt to create a women-centered GPT trained on real-world data from women entrepreneurs. Spoiler: it didn’t go as planned. But the failure revealed a lot. In this episode, Koheun and…
