Understanding the role of snow capture on soil water and crop performance in snow-dominated regions has been difficult due to snow's natural variability and the limits of traditional research plots. To address this, we developed an innovative ‘snowflake design.’ This large, circular plot strategically manipulates snow capture with an outer ring of bare ground that surrounds an inner ring of crop stubble. Plots within these rings are oriented at different angles to the prevailing wind—from parallel to perpendicular—to create a wide range of snow depths in a controlled way. Throughout the winter, we use advanced laser scanners (LiDAR) on towers and drones to create highly detailed snow depth maps. After the snow melts, these maps allow us to precisely link the amount of snow a specific spot received to its soil moisture and crop yield during the next growing season. This design makes it possible to isolate the effect of snow from other agricultural factors. The results will provide critical insights for farmers in snow-dominated regions, helping them better manage water resources by making the most of winter precipitation.