No Lean Season

No Lean Season offered $20 travel subsidies to enable rural agricultural workers to migrate temporarily to cities during the lean season—the months between planting and harvest when farm income disappeared entirely. The problem was acute and measurable: in rural Bangladesh and Uganda, the poorest households faced predictable income collapse, forcing them into debt, asset sales, or reduced food consumption. This seasonality hit hardest those with no savings or alternative income sources. Observable metrics showed clear income gaps during these periods. Existing alternatives were limited—informal moneylenders charged exploitative rates, and local wage work was scarce. The intervention seemed logical: temporary migration to cities offered higher wages. However, No Lean Season failed to account for critical barriers beyond transportation costs. Workers faced information gaps about urban job markets, lacked social networks in cities, and struggled with family separation. The $20 subsidy addressed only one constraint in a complex system. Warning signs emerged in pilot data showing modest uptake and income gains below projections, yet the organization scaled before fully understanding why eligible households weren't participating or benefiting as expected.

No Lean Season offered $20 travel subsidies enabling rural agricultural workers to send family members to cities for off-season employment. ​​‌‌‌‌‌‌‌​‌‌​​‌​​​​​​‌‌​‌‌‌​​​‌‌Early behavioral signals proved genuine demand: when researchers presented the subsidy offer to eligible households in Uganda and Kenya, take-up rates exceeded 70%, with families immediately identifying which members would migrate and discussing specific job prospects. They measured interest through randomized controlled trials rather than surveys, observing actual migration decisions and income changes. Early traction showed participants earned $30-40 monthly through urban work, meaningfully supplementing household income during lean seasons. Bank records and follow-up visits confirmed real employment, not stated intentions. However, critical warning signs emerged. While initial take-up was strong, repeat participation dropped significantly in subsequent seasons, suggesting the subsidy created one-time behavior rather than sustainable demand. Retention data revealed many migrants faced exploitation, unsafe working conditions, and family separation costs that offset financial gains. The program conflated willingness to accept free money with genuine product-market fit. No Lean Season ultimately couldn't scale beyond subsidized pilots, revealing that demand for the subsidy itself didn't translate into a viable business model or lasting behavioral change.