The condition index (cracking index) is one regular metric used by many countries to measure their road quality and justify the budget spent every year on the road repair. These decisions are dependent on the evaluation criteria that are subjective but not representative. In this paper, we confer about our initial approaches to solve the problem of data asymmetry in decision-making about the road quality. The proposed work explains the process of determining road-defects using data collected by the Road Quality Analyser (RQA). A web-based interactive user interface to host a large amount of data collected by the device RQA towards digitizing the process of road quality inspection. This approach of combining data and device for the assessment of road, which enables the government to make accurate decisions on road repairs and it will lead to an anticipative response which will result in significant cost saving.