1. Run and Participate in Pilot Studies
Run your pilot study, and participate in other people's pilot studies. Enjoy each other's fruits of labour and be mindful of people's time.
2. Prepare Data Analysis Scripts
Write a few data analysis scripts (e.g., in R and python) in advance, so that once results come in, you can already start analyzing. You can start by preparing "fake data" in a single CSV file, which captures all the data that you are collecting in this pilot (e.g., pre-study survey data, post-study survey data, system log data). You can write some basic scripts to compute descriptive statistics (e.g., mean, variance) or run some basic regression models / correlational analysis. Scripts are great for debugging! For example, you might notice a problem with the survey after a few participants, if you can run the analysis script whenever new results come in.