With the transition from closed to open innovation in recent years, the next trend for companies has been to bring in new ideas from external stakeholders using innovation tools, known as Open Innovation Software (OIS). The most common type of OIS, called idea management systems, allows participants to submit, evaluate, and engage in discussions around ideas. However, implementing software to support innovation is not a sure success and potential problems may arise. The purpose of this thesis is to research problems within features in current idea management systems, and to provide guidelines that suggest ways that may eliminate or reduce the impact of the particular problems. Interviews were conducted with representatives from five different idea management systems. The respondents demonstrated their systems, which made it possible to gather features and to learn about problems that exist in these systems. Five problems within features were found; these were related to engagement, duplicates, idea evaluation, complexity, and bias. Numerous recommendations regarding how the impact of these problems may be reduced have been identified. The findings of this thesis show that Problems with engagement is best dealt with using features that delivers better feedback in order to give more motivation to the participants. As for managing duplicates, it is recommended to implement a feature that suggests similar ideas during the idea submission phase. It was found that allowing users to have an unlimited amount of votes should be avoided. To prevent bias, managers should be careful of having features that displays idea ratings before users have casted their vote, features that allow users to edit their casted vote unless an idea has been edited,  and  for instance features that show ideas in order of popularity.