CARE staff around the world talk about experiences we learn from failure, and how we use that to get better at our work.
CARE Failing Forward
Claim This Podcastby Emily Janoch
5.0(5 reviews)
119 episodes
Updated Weekly
Accepts GuestsHas SponsorsLocation 🇪🇬
50
Podcast Authority
BetaFairBased on show quality, social media presence, reviews, charts, and more
Quality67
Social0
YouTube0
Engagement81
Podcast Overview
CARE staff around the world talk about experiences we learn from failure, and how we use that to get better at our work.
Language
🇺🇲
Publishing Since
1/24/2019
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50
Podcast Authority
BetaFairBased on show quality, social media presence, reviews, charts, and more
Quality67
Social0
YouTube0
Engagement81
7
Excellent Areas
0
Good Performance
12
Growth Opportunities
excellent
Episode Length
12 minutes
Performing excellently!
needs improvement
Publishing Consistency
Every 21 days
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Recent Episodes
June 17, 2026
Plan for when it breaks
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 Scale that Lasts in Stanford Social Innovation Review (SSIR), we talk about why governments often prefer paper systems, how reliability is the key to trust, and what it takes to build a culture where you lead by understanding failure instead of ignoring it.
May 11, 2026
Who is it working for? The messy realities of AI in practice.
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 Matthew Smith from IDRC talk about ways to evaluate AI tools, and how to think about if they really are creating the change you hoped for. Just like the internet didn't end poverty, neither will AI. What succeeds or fails will depend on how well we implement AI, and whether we can truly center how technology connects to humans and real life contexts. What do we do to take something that works in a controlled setting and help it survive the messiness of real-world implementation?
April 16, 2026
Why AgTech Startups fail
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?" Success is, "Will this save the farmer time or money? Will it increase profit and lower risk?" Maybe most importantly, "will any farmer ever choose to use this more than once?"
119 total episodes available
Deep-dive analytics for CARE Failing Forward
Frequently asked questions
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- What is CARE Failing Forward?
- How often does this podcast release new episodes?
This podcast updates weekly.
- Where can I listen to this podcast?
This podcast is available on 8 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Yes, this podcast regularly features guests.
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