Customers see long wait times, possibly due to identity interfaces, knowledge retrieval, business queries, or text generation. Without time-divided recording, changing the model may not solve the problem. First, draw the steps of a question and answer process, and record the beginning, end, and failure reasons for each section. You can distinguish between constant slowness and occasional stuck from a certain source. Client waiting and server processing should also be observed separately.

Clear the problem and conditions first

Use a suitable path for general description and business query. Simple questions do not need to call multiple unrelated interfaces. It can be displayed step by step as the content is generated, but the unfinished text cannot be regarded as the final business result. Knowledge caching requires version identification, so that modified entries can be invalidated in time; personal account data cannot be cached for the purpose of speeding up mixing. Provide clear status after timeout to prevent the page from spinning indefinitely.

Put rules into the actual process

For example, if a customer asks about working hours, they can read the approved configuration; if they ask about the refund progress, they need to query the authorized order. The dependencies of the two types of problems are different, and the difference cannot be covered up with the same average time consumption. Peak tests should also be designed based on actual problem proportions and record waiting queues and failures.

Check the processing results item by item

  • Retest the same questions and loads after optimization, compare the changes at each stage and whether the answers are still correct.
  • The compression context needs to check whether applicable conditions have been lost, and the cache needs to check permissions and update time.
  • If the upstream interface is unstable, it is allowed to downgrade to a manual work order and retain the collected information.
  • Speed ​​improvements need to be verified together with complete processing. Giving wrong answers quickly will increase customer service work later.

How to review before and after going online

At peak times, ongoing authorization business inquiries can be prioritized, and purely introductory content should be lightweight. The queue waiting information is clearly displayed, and unnecessary tasks are stopped after the customer cancels to avoid long-term resource occupation by requests to close the page.