The aim of this thesis is to create a tool which quantifies qualitative measures into an indicator system. The system is created on behalf of a company which is associated with investments in new technologies on the energy market. The indicator system is to take into consideration important factors in the first part of an investment cycle, in other words, the screening phase. Qualitative measures will, in each indicator, become quantified and will together create a weighted grade on a potential investment that can help the investor decide whether or not to move forward with said investment. The aim of the thesis is also to evaluate the indicator system on current possible investment options in order to analyse and discuss how the final product will work in the investor company ́s actual context. The method consists of two main parts, a gap analysis which is conducted within the investor company and its owners and a compilation of which indicators that are of greatest importance in a screening phase according to earlier research. The main result of the study is the full indicator system which consist of four indicators: technology readiness of the potential investment, contextual analysis of the potential investment, diversity within the company and the financial burn rate of the company. When applied to current potential investments the result showed that there was negligible to moderate correlation between the indicators, which was important for the system to be validated. It was also concluded that a potential investment should exceed 60 percent of the possible maximum grade in order to pass through the screening phase. The results also showed that there were four apparent gaps, namely consensus between the involved actors, utilization rate of the organizations competencies, to enter new markets and the right competency to do so. The future potential investments of the investor company should therefore aim to fill in these gaps in order to strengthen the role of the company. If doing so while using the indicator system, the risks of choosing investment options that does not fit into the investor company ́s context, will be minimized.