Wise management of water resources requires data. Nevertheless, the amount of streamflow data being collected globally continues to decline. Involving citizen scientists to generate hydrologic data can potentially help fill this growing hydrological data gap. Our aim herein was to (1) evaluate three potential citizen scientist streamflow measurement approaches (i.e. float, salt dilution, and Bernoulli run-up), (2) select a preferred approach, and (3) pilot test the selected approach at a larger scale. We performed 20 side-by-side evaluation measurements in headwater catchments of the Kathmandu Valley. We used mid-section measurements from an acoustic Doppler velocimeter as reference flows. Evaluated flows ranged from 0.006 to 0.240 m 3 s −1 . Linear regressions forced through the origin for scatter plots with reference flows had slopes of 1.05, 1.01, and 1.26 with r-squared values of 0.90, 0.98, and 0.61, for float, salt dilution, and Bernoulli methods, respectively. After selecting the salt dilution method as the preferred approach, we performed larger scale pilot testing in a one-week Citizen Science Flow campaign (CS Flow) involving 20 volunteers. Observed flows ( n = 145) ranged from 0.0004 to 0.425 m 3 s −1 and were distributed among the 10 headwater catchments of the Kathmandu Valley. At locations with reference flows available ( n = 5), a linear regression forced through the origin between reference flows and CS Flow measurements had a slope of 0.90 with an r-squared value of 0.97. Future work should evaluate the feasibility of applying citizen science salt dilution streamflow measurements to larger regions.