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Leavy Jennings chart are a very good way of visually representing QC data providing indication of the performance of an assay. This graphic tool is used in monitoring controls and ensuring that they within desired limits. The L-J Chart allow us to plot the data and records of periodic measurement of quality control samples and then it analyze whether data points are within acceptable range. Chart also highlights outliers with mean and standard deviation between 1 to 3 within (+-3SD) so it will have 1. Time value on X Axis 2. Measured value from quality control samples on Y Axis 3. Horizontal line indicating the mean ( Average) 4. Standard Deviation line indicating acceptability of range. Leavy Jennings charts are simpler to detect trend, shifts or outliers but can only work for individual test performance and can not be account for interaction between different test and process. IMR chart are more powerful when it used for general purpose to understand complexity where individual measurement and their range is critical for overall process control. Unlike L-J chart IMR chart can not be tailor made for Laboratory experiments. It is also required statical knowledge and training to understand and interpret moving range and control limits. L- J Charts are used in healthcare industry or laboratory experiment to ensure that test methods are accurate and stable , Where as IMR Chart are used for Industrial or manufacturing set up. For Diabetes testing L-J Chart can be helpful to monitor blood glucose testing. for that we can 1. Established Control limits i.e. Mean glucose concentration of the QC sample = 100 mg/dL and standard deviation ( SD) is 5mg/dL. 2. We can set up L-J Chart with Time on X Axis and Y Axis as glucose concentration levels and mean value line 100mg/DL and SD lines between 1 to 3 SD. Suppose we take 10 days data and glucose concentration level values are 98, 101, 100, 99, 95, 97, 103,102, 104, 96 mg/ dL. Most of the value are within +- 2 SD that mean testing process is in control. Benefits of using L-J Chart Early detection of issue will help correction which is vital for effective management of diabetes.