Intercept surveys can be useful for gathering information about travel to specific locations while the data is fresh in a respondent’s mind (Schneider, 2013). They are valuable to transit agencies as a source of information on a cross-section of commuters. In fact, intercept designs may be the only cost-effective way to gather data about transit users or commuters where the incidence of these riders in the general population is low (Schaller, 2005). In partnership with the Bay Area Metropolitan Transportation Commission (MTC), ICF International designed and carried out an intercept survey of cyclists in nine Bay Area counties during the 2014 Bike to Work (BTW) Day. The survey was used to evaluate the impact of Bike to Work Day— specifically, its effectiveness at increasing bike ridership over the long term. This paper presents our sampling design and lessons learned from the field. The sample frame included more than 300 “Energizer Stations” located along commuting routes, where riders could stop for refreshments and free gear. Our multistage stratified sampling design selected a probability sample of stations and individuals (bike riders) that was representative of the BTW biker population in each county and area-wide. Trained interviewers were dispatched to 50 sampled Energizer Stations during the morning and afternoon commutes. They used a random selection method to approach riders and invite them to participate in a two-minute intercept survey, as well as a follow-up survey three months later. The intercept and follow-up waves achieved high levels of response, which was due to a mix of factors, including offering an incentive of high-value.