Imagine you're a D2C apparel company tasked with tracking cases where customers had sizing issues with particular products. Ordinarily, you might manually sift through your helpdesk, log case data onto a spreadsheet or submit a google form every time a specific case came in, and then add contextual data of that customer from the rest of your tech stack. But now, you can do this all with a click of a button on OmniPanel.
Shopify: product SKU, customer name, order $, #s of orders placed
Gorgias: ticket tags, support text
Loop / Returnly: return reason, cancellation reason
Omnipanel shows you all the relevant cases that were tagged related to a product issue within your helpdesk. It also automatically pulls in contextual data from the rest of your tech stack to automate your tracking of these issues, and serve as a springboard for your investigation. From there, you can go as far into the weeds as you need to uncover underlying issues. In this case, you see that the main product complaint was the quality of material used. Using the visualization tools in Omnipanel, you see that this issue was constantly widespread in different batches and cohorts of customers, suggesting it was a wide-scale problem. You pass along these findings to the Product team to get them to focus on material quality.
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