Benchmark and quality targets are most valuable when a team is answering the question:
What are we trying to accomplish?
Using benchmark measures with the voice of the customer feedback will help the team respond to this question and focus on the factors that matter most to any process. Specific targets or benchmarks can be established from the combined analysis of in-house data of process specification limits (USL and LSL), historical data, and any performance targets guided by external resources or references. External benchmark data is always a great starting point. Still, it is good to note that internally derived benchmarks and process targets tend to be more meaningful and motivating to process owners since they relate directly to their particular situation. However, when industry-established benchmarks exist for specific tasks, these measurements can be instrumental in evaluating your processes and developing procedures and standards.
It is worth the time to develop quantifiable benchmarks and standards whenever possible. Once established, benchmark measures can operate as critical performance "dashboard" triggers for individual performers. They also provide a quick, accessible way for section supervisors to communicate performance successes to larger groups or entire organizations. Benchmarks and targets also make employee evaluation more objective since performance parameters, such as productivity standards or error rates, are clearly defined as measurable criteria for evaluation. Finally, establishing clear benchmarks and targets for vital processes will make your quality monitoring, quality control, and quality assurance activities much more accessible to carry out and document.
SMART Performance Standard Example: Embedding
Standard | Embedding Example |
S | Personnel will correctly orient all tissue types using the paraffin technique with 90% accuracy. Personnel will complete embedding at a rate of 30 blocks per hour on a monthly average. |
M | Personnel will record the number of blocks embedded and the time spent on this task on the QC log to determine the rate. Rework and errors are deducted from totals. |
A | QA data has determined the mean average rate of accurately embedded blocks to be 30/hour minus re-work. |
R | Embedding is a primary task assigned to the histology technologist. |
T | Time of completion and monthly averages will be tracked as aggregates and individual rates against the 30/hour standard rate, minus rework and errors. |