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In addition, based on the real-time emotional information, matching the timeline, a corresponding emotional journey map was also built to comprehensively display the changes in emotions related to the work order, allowing CSR to make a better evaluation from a "perceptual" perspective. In addition to real-time emotion display on the work order management interface, when the mouse hovers over the corresponding icon, the changes in user emotion icons in chronological order are connected in series to form a user emotion journey map. Operations staff can take
service actions from an "emotional" perspective by observing Afghanistan WhatsApp Number the overall emotional history. As we all know, the most important ability of a product manager is to realize business value and continue to deliver. The basis for verifying business value is the collection and analysis of product data. Through the analysis of user product usage data, we can iteratively optimize products and enhance their business value. Data analysis and insights was launched in December last year. At the same time, we used data burying and analysis
tools to build a matching data collection and analysis solution for this product. One month after the product was launched, we cleaned the captured data. In the subsequent data analysis, we obtained results that were far from expected. It can be seen from this data chart that after the product experienced a brief usage peak in the early stages of its launch, the frequency of use by customer service staff dropped off a cliff.
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