This chapter examines some of the potential solutions to common problems that may be encountered in mixed methods research. It provides example to show how troubleshooting might work in a real-life situation. The very nature of mixed methods research, in particular the fact that two or more components of data collection are taking place, means that there is greater potential for things to go wrong. Because of the added complexity of any mixed methods research project, potential issues can occur at a multitude of points along the way. If one component does not go entirely to plan, then mixed methods usually offers the opportunity for alterations and adjustments to other components in order to keep the overall research project viable. Because a mixed methods design involves multiple data collection methods, there is greater flexibility and scope to alter those methods if required.