What Didn't Work, What We Changed, and How We Grew
Restoring farms and forests at scale means we don't always get it right the first time. We believe transparency about our failures is as important as celebrating our wins, so this page documents some of the mistakes we've made along the way and what we learned from them.
Species selection missteps
Placeholder text describing an early planting cycle where survival rates were lower than expected, and the changes we made to our species-selection process as a result.
Pivoted from standardized nursery saplings to hyper-local indigenous seed banking and soil microbiome testing prior to plot allocation.
Underestimating community onboarding time
Placeholder text describing how we underestimated the time needed to build trust with a new community, and how we adjusted our program timelines going forward.
Extended pre-planting dialogue windows by six months to conduct participatory mapping with Gram Sabhas and female landowner cohorts.
Data collection gaps
Placeholder text describing gaps in our early monitoring data and the tooling we built to close them.
Engineered offline-first mobile sync apps and integrated high-frequency multispectral satellite NDVI audits to eliminate data lag.