Before revision: To optimally resolve the trade-off between adoption and maintaining available options, we develop a random market model that captures the heterogeneity in workers' future engagementbased on match type.
After revision: To optimally resolve the trade-off between adoption and maintaining available options, we develop a model for a repeated two-sided matching market consisting of tasks (prearranged donations) and volunteers. Our model incorporates the uncertainty in match compatibility as well as the negative impact of failing to match on future engagement. We study the platform's optimal policy for setting the adoption level to maximize the total discounted number of matches.