Many companies promote the value of maintaining productivity to ensure the company's continuous financial success. A variety of factors could result in a loss in productivity. Khat chewing during work is a factor in productivity loss. Khat chewing is a daily activity that is extremely addictive and takes billions of hours of work time. The Markov chain model is a stochastic process and an excellent tool for evaluating the state of daily activities. It has led to the assessment of loss of productivity and forecasting of the addiction level of khat in a novel way using the Markov chain model to mitigate negative effects. The data were collected through pre-tested structured questionnaires and interviews. An SPSS version 21 was used for data analysis. The assessment of opportunity cost is an economic expense and productivity loss. The daily loss is 86,840.75 birrs, which is considered an economic burden and productivity loss khat users. The frequency prevalence of chewing the khat once a day was 60.7 %. This study evaluated addiction levels of khat were low, moderate, high, and chronic. In low addiction, 84% continued use in this period, and 16% increased to moderate addiction. At moderate addiction, 69% continued in this period, at high addiction, 93% continued during this period and 5% increased khat chewing by six or more hours. In chronic addiction level, 94% of respondents continued in this period and 5% decreased khat chewing use from four and six hours their khat chewing. POM/QM analysis determined khat addiction levels in the long-term behaviors were 0.5(low), 0.07(mod), 0.48(high), and 0.4(chronic) addiction levels. The long-term probability value of a high addiction level (0.48) is higher than the other addiction levels. To validate the developed model, the chi-square test used that it was greater than the critical value on the significance level (40.4 > 16.919). The results determined the independent variable that grams of khat used have an impact on the developed model of khat addiction levels. The chewing has been taking different chemicals with khat leaves and taking alcohol after chewing khat leaves. In this study, effectively assessed productivity loss and the Markov chain model have been successfully applied to evaluate and forecast future addiction levels of khat chewing. Create awareness about the economic burden and production loss related to khat. give knowledge of the addiction level of khat chewing to make policies and strategies for controlling and preventing khat chewing in the city. Keywords: Addiction level, Evaluate, Forecast, Khat, Markov chain, Prevalence. Productivity loss.