Over the past few decades, companies have gotten great at generating insights from computational technics like Big-Data, Machine Learning, AI, and business analytics to name a few. Getting better at computational methods such as these allowed decision-makers to be more data-driven in their decisions and reduce a great deal of risk while increasing efficiency by systematizing decision workflows. But companies are not interested in data for the sake of data itself, companies care about solving business problems they experience or their clients undergo. Nor do they only use data to make decisions. In fact, about 80% of business decisions rely on subject matter expertise. Making a sound decision for business problems requires a high degree of expertise in the field itself, knowledge of fields that may affect the decisions, and the ability to synthesize opinions about how one is affected by the other. Such opinions are often too situational to be captured by a pattern that data can isolate. Nonetheless, about 80% of considerations in business decisions come from subjective knowledge. Extracting meaning from opinions and knowledge is not a trivial matter, they are often the result of stochastic environments, unique, and subjective, which makes them default to measure and make decisions with. That is exactly what the Rizn app is designed to solve, help decision-makers quantify the likelihood of decisions that use subjective opinions as considerations.