Markov Analysis Example This first chart is a transition probability matrix: Transition Probability Positions Current Year 1 2 3 4 5 Exit 1 Tellers 0.56 0.11 0.03 0.00 0.00 0.30 2 Customer Service Representatives 0.00 0.46 0.08 0.05 0.00 0.41 3 Teller Supervisor 0.00 0.00 0.63 0.12 0.00 0.25 4 Assistant Branch Manager 0.00 0.00 0.00 0.52 0.08 0.40 5 Branch Manager 0.00 0.00 0.00 0.00 0.70 0.30 This chart shows that 30% of tellers exited the company (41% of CSR's, 25% of Teller Supervisors, etc.). This also represents percentages of employees moving to other positions. For example: 46% of CSRs stayed in their current position, while 8% were promoted to Teller Supervisors and 5% were promoted to Assistant Branch Managers. Based on the probabilities above you should be able to forecast the number of employees moving into other positions. For example: 336 tellers remained in their current position, 64 moved to CSR, 20 moved to Teller Supervisor and 180 left the company. The left column of the chart represents the positions available in the company. (1) Teller (2) Customer Service Representative (3) Assistant Branch Manager (4) Loan Officer (5) Branch Manager. The Next year projected is the number of employees that will be in each position and how many will leave (1-5 represents the positions in column 2.) Forecast Positions Next Year (projected) Current Workforce 1 2 3 4 5 Exit Tellers 600 336 66 18 0 0 180 Customer Service Representatives 300 0