Zendesk: visual summarization, sentiment analysis, and Slack integration
Analyze and Explore your ZenDesk Support Requests using AI-Powered Knowledge Graph This template helps you create an interactive [InfraNodus knowledge graph](https://infranodus.com) for your ZenDesk tickets using any ...
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Analyze and Explore your ZenDesk Support Requests using AI-Powered Knowledge Graph
This template helps you create an interactive [InfraNodus knowledge graph](https://infranodus.com) for your ZenDesk tickets using any search criteria (e.g. after a certain date, specific status, sender, keyword) that will automatically be sent to a selected Slack channel.
Here's an example of the [InfraNodus graph](https://infranodus.com) that shows the main topics and gaps in ZenDesk support tickets:

You can use the workflow to:
- Get an instant overview of the main topics your customers are talking about - Generate business and product ideas based on the blind spots identified using the [InfraNodus AI](https://infranodus.com) - See which topics correlate to the negative / positive sentiment understanding the weak and strong sides of your product and support - Receive daily notifications on the main topics your customers are talking about via Slack / Telegram / Email and other channels - Perform detailed search using a password-protected web form for tickets filtered by a certain date, status, tag, sender, keyword. - Use the interactive graph to explore specific topics and concepts your customers are talking about — a great way to engage with their concerns in a non-linear way, bypassing the boring tabular interface - Use the graph to explore the support requests by specific segments — e.g. status, priority, sentiment, tags, urgency. - Use the graph generated as an AI expert available to your AI agents in other n8n workflows via [InfraNodus GraphRAG](https://infranodus.com/use-case/ai-knowledge-graphs). For instance, you could connect your knowledge base to the support tickets graph and let the agent discover possible solutions to your customers' most typical problems. See an [sample template here](https://n8n.io/workflows/4402-ai-chatbot-agent-with-a-panel-of-experts-using-infranodus-graphrag-knowledge/).
How it works You can start this workflow
- manually, - with a daily / weekly trigger, or - via a password-protected web form, where you can provide search requests.