Self-service is one of the most powerful applications of knowledge management. Customers can get answers quickly, and organizations can maintain customer satisfaction while spending pennies on the dollar over assisted support options.
To get the most out of self-service, your organization needs to provide the best knowledge for each support tool, while preserving the accuracy and efficiency of managing “one source of the truth.” This requires a clear definition of the customer expectations and best knowledge interactions within each knowledge delivery tool.
Self-service can encompass a wide variety of knowledge delivery environments, as shown in the graphic.
The Customer Self- Service Spectrum
Each support channel has a “sweet spot” where customer needs, knowledge, and channel interactions meet. It’s critical to define what knowledge to deliver, and how to get the most out of each environment. These definitions drive knowledge management actions to help ensure consistent, reliable outcomes for each interaction. Here are some considerations for the top self-service channels:
IVA, Automated Chat, Assisted Chat
Usage scenarios include conversational, contextual “chats” processed by AI, with robotic technology (or humans) to respond to natural language questions and provide interactive sessions. As questions are asked, the system processes and responds to the evolving context of the question or topic and can ask clarifying questions, provide examples and responses, and hone in on the best answer. This enables the system to deliver concise information that directly answers a question, data that supports a structured inquiry (e.g., schedules), or lists of relevant knowledge results.
Driving knowledge that fits scope of each type of interaction with direct, short answers, data results, and simple knowledge articles.
Web Knowledge Base
Usage scenarios include natural language or keyword queries, browsing targeted topics, or a returning list of calls. Queries are directly responded to with the best results and have the capability to filter in a more advanced way if a topic needs to be explored in greater detail. This channel enables users to hone in on knowledge items, including filters, suggested queries, landing pages, links, and content types. Articles and content with support focus can leverage content types, links, and good knowledge structure to enable accurate navigation to potential answers.
in consistent, task-focused content structures, accurate and intuitive tagging, and simple language for ease of use.
Usage scenarios include mobile inquiries for quick, basic information that can be read and absorbed on smaller devices. These interactions can include short text queries or browsing topics on common issues. This channel provides simple filtering and the ability to respond to one- to two-word queries, requiring a smaller content set focused on top questions and topics.
Clear, short focused content and titles that can be quickly found and read on mobile devices.
Usage scenarios include a user who has time to compose and wait for an answer to a specific question or request. These situations could require more than one interaction to complete and involve asynchronous questions and answers, where the user provides a sentence or two of context (not just a query). This allows for the ability to process the email text for context and deliver the most important query terms or topics to return best results to a respondent. Knowledge items provided include an email response that is complete and concise, with all the relevant steps or details to answer the request.
Focused, reusable templates that provide sufficient detail for amenable topics.
Usage scenarios include online participants sharing posts, questions, and ideas to help each other, with targeted company assistance. Users typically post questions to get direct answers or clarifying interactions to arrive at the best answer. Community posts are the focusing mechanisms where users can confirm each other’s needs and terminology. This channel can provide additional resources, where assistants can answer known questions with targeted knowledge to drive “best answers” across the community space.
Targeted content answering common questions that can evolve in relation to the threads and posts in the community.
Channel-focused KM drives self-service value. Self-service takes place when customers feel empowered to define and receive the answers to their questions, on any channel, quickly and intuitively. The degree to which each channel clearly and consistently delivers knowledge appropriate to those expectations determines the effectiveness of that channel.
John Chmaj, Sr. Practice Director, Knowledge Management, Verint Global Consulting Services
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