The formulation of the demand through rate comes from the lean management system of the manufacturing industry. That is, when a finished product is produced through multiple processes, each process is completed at one time, and there is no bulk sms service rework rate. Team managers often ask such questions: Everyone is working hard, but the progress is uncontrollable, and there are many bugs online; some teams also say that our assessment of developers is that the fewer bugs the better, the better for testers. The assessment is that the more bugs, the better, which leads to natural conflicts between development and testing, which is really unreasonable, but there is no bulk sms service better way. Where are the roots of these problems? This is because: local efficiency does not equal system efficiency.
Everyone works locally, but an organization is an interacting system, and local optimization does not mean that the overall system is optimized. Managers need bulk sms service to stand in the perspective of the system and use systematic thinking to solve the overall efficiency problem. This time, an important indicator of system efficiency is shared: the demand pass-through rate. demand pass rate The term “Throughput Yield (TPY)” or “Product Throughput” comes from the lean management system of the manufacturing industry. That is, when a finished product is produced through multiple bulk sms service processes, each process is completed at one time, and there is no rework rate. The English of TPY can also be expressed as First Pass Yield (FPY). TPY/FPY = Quantity of Finished Products in
Throughput Metrics In 2016, in the consulting project that we helped a company's product line department to improve, we used the demand direct rate for bulk sms service the first time, and finally achieved good improvement results in terms of demand handover efficiency, online defects and the number of incidents. . Why was this indicator taken at that time? It is because there are too many problems in this product line, the demand is seriously backlogged, and the product manager is under great pressure; the R&D team is unwilling to accept the demand, thinking that there are too many bulk sms service problems and frequent changes in the demand; the testing team is trapped in bug analysis and positioning, because it is assessed.” "Number of bug referrals" metric... Therefore,