With the average company handling 578 support tickets daily, 3,991 weekly, and 17,630 monthly, managing ticket volume can feel overwhelming. A powerful solution to this challenge is a self-service knowledge base, which empowers customers to find answers quickly, reducing the ticket volume. *Source: Live Agent
In this webinar, Selvaraaju Murugesan, Head of Data Science, Kovai.co, revealed the secret sauce to building a self-serve model knowledge base, and using metrics to track customer behavior with content.
𝐊𝐞𝐲 𝐭𝐚𝐤𝐞𝐚𝐰𝐚𝐲𝐬:
► The traditional method relies on phone calls to support agents, whereas the modern customer service uses support portals for customers to raise and track tickets.
► Repetitive questions, complex queries, peak demand and sudden spikes due to new feature releases.
► Tickets are categorized by priority (low, medium, high), each with specific resolution times. Internal KPIs include response time, solution effectiveness, and accuracy.
► A knowledge base, with key features like quick content creation, content sharing, 24/7 availability, and integration with support tools, provides essential product and service information to customers to solve problems independently and reducing the need for direct support while reducing waiting times.
Demo Highlights:
A live demo of Document360 showcased content creation, management, customization, integration features, and a testimonial from Fastmag on how they reduced support tickets with Document360.
𝐏𝐏𝐓 𝐒𝐥𝐢𝐝𝐞𝐬: https://bit.ly/Reducesupportticketswi...
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