Difference between revisions of "UseCases/Current/GenesysEngage-onpremises/CE28"
From Genesys Documentation
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{{SMART UseCase | {{SMART UseCase | ||
| + | |ID= | ||
| + | |Title= | ||
| + | |Offering= | ||
|SMART_Benefits={{SMART Benefits | |SMART_Benefits={{SMART Benefits | ||
| − | |UCBenefitID=Improved | + | |UCBenefitID=Improved Net Promoter Score |
|UCBenefit=Enhance the customer experience by providing rapid access to frequently searched information and use of customer contextual information at every touchpoint to reduce customer effort | |UCBenefit=Enhance the customer experience by providing rapid access to frequently searched information and use of customer contextual information at every touchpoint to reduce customer effort | ||
}}{{SMART Benefits | }}{{SMART Benefits | ||
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|UCBenefit=Reduce handle time by finding the right responses for agents to use | |UCBenefit=Reduce handle time by finding the right responses for agents to use | ||
}} | }} | ||
| + | |UCIntro= | ||
|UCOverview=In most companies, knowledge is everywhere but it is inconsistent, often outdated and unmanageable because of the disconnected nature of service channels. This leads to customer frustration and higher costs. Genesys Knowledge Center helps companies gather knowledge that is scattered throughout the organization and makes it searchable via simple natural language queries. Organized into a single or multiple knowledge bases, knowledge can then be accessed by users on the website to help solve problems in a self-service fashion, as well as by employees through their agent desktop to help them assist customers more quickly. Machine learning is utilized to continuously improve the effectiveness of the knowledge bases.This allows companies to effectively use their knowledge bases to provide the most relevant, accurate answer to customers as quickly as possible across multiple channels. | |UCOverview=In most companies, knowledge is everywhere but it is inconsistent, often outdated and unmanageable because of the disconnected nature of service channels. This leads to customer frustration and higher costs. Genesys Knowledge Center helps companies gather knowledge that is scattered throughout the organization and makes it searchable via simple natural language queries. Organized into a single or multiple knowledge bases, knowledge can then be accessed by users on the website to help solve problems in a self-service fashion, as well as by employees through their agent desktop to help them assist customers more quickly. Machine learning is utilized to continuously improve the effectiveness of the knowledge bases.This allows companies to effectively use their knowledge bases to provide the most relevant, accurate answer to customers as quickly as possible across multiple channels. | ||
|UCSummary=This use case provides web self-service with knowledge search. It enables deflection of unnecessary contact center traffic by providing context-sensitive knowledge articles to visitors of the company website. When the customer's question cannot be answered by the knowledge search, assisted service via chat or callback may be offered, and the agents will have access to a comprehensive and context-sensitive knowledge base within their desktop. | |UCSummary=This use case provides web self-service with knowledge search. It enables deflection of unnecessary contact center traffic by providing context-sensitive knowledge articles to visitors of the company website. When the customer's question cannot be answered by the knowledge search, assisted service via chat or callback may be offered, and the agents will have access to a comprehensive and context-sensitive knowledge base within their desktop. | ||
| + | |Description= | ||
|PainPoints=* Website not offering online service and support | |PainPoints=* Website not offering online service and support | ||
* Knowledge articles and FAQs not easy to find on website | * Knowledge articles and FAQs not easy to find on website | ||
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* Ability to easily handover to an agent, including customer context, when self-service isn't enough | * Ability to easily handover to an agent, including customer context, when self-service isn't enough | ||
* Agents have access to comprehensive and context-sensitive knowledge within their desktop tohelp assist customers more effectively and quickly | * Agents have access to comprehensive and context-sensitive knowledge within their desktop tohelp assist customers more effectively and quickly | ||
| + | |BuyerPersonas= | ||
| + | |QualifyingQuestions= | ||
|MaturityLevel=Defined | |MaturityLevel=Defined | ||
|SellableItems=CIM, CIM (HA), Interaction Workspace, Genesys InfoMart (Optional), Genesys InfoMart – HA (Optional), Genesys Interactive Insights (Optional), Genesys Knowledge Center - Self-Service, Genesys Knowledge Center - Agent | |SellableItems=CIM, CIM (HA), Interaction Workspace, Genesys InfoMart (Optional), Genesys InfoMart – HA (Optional), Genesys Interactive Insights (Optional), Genesys Knowledge Center - Self-Service, Genesys Knowledge Center - Agent | ||
|CloudAssumptions=This use case is not available in the cloud | |CloudAssumptions=This use case is not available in the cloud | ||
| + | |CloudAssumptionsAdditional_Sales= | ||
| + | |PremiseAssumptions= | ||
|PremiseAssumptionsAdditional_Sales=Capabilities Assumption: | |PremiseAssumptionsAdditional_Sales=Capabilities Assumption: | ||
* Integration to Knowledge Center is a customization task. Example code snippet to integrate with Knowledge Center is provided. | * Integration to Knowledge Center is a customization task. Example code snippet to integrate with Knowledge Center is provided. | ||
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#Time-based parameter to trigger the knowledge widget when the customer stays a specific time on specified web pages. | #Time-based parameter to trigger the knowledge widget when the customer stays a specific time on specified web pages. | ||
#Configuration/integration required to initiate widget based on choice on specific web pages (example: “contact us” page) | #Configuration/integration required to initiate widget based on choice on specific web pages (example: “contact us” page) | ||
| + | |DistributionImageFlow= | ||
|DistributionLogic=Required agent skill will be determined by the classification and categorization of the search results. | |DistributionLogic=Required agent skill will be determined by the classification and categorization of the search results. | ||
|CustomerInterfaceRequirements=Genesys Widgets are used in standard configuration. They will be adapted to the customer corporate identify by changing the color and logo. | |CustomerInterfaceRequirements=Genesys Widgets are used in standard configuration. They will be adapted to the customer corporate identify by changing the color and logo. | ||
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*Customers will have the ability to train the system based on keyword or key phrase associations. | *Customers will have the ability to train the system based on keyword or key phrase associations. | ||
*Notifications to administrator/content manager for content updates is a Customization. | *Notifications to administrator/content manager for content updates is a Customization. | ||
| + | |GeneralAssumptions= | ||
| + | |CustomerAssumptions= | ||
| + | |RequiresAll= | ||
| + | |RequiresOr= | ||
|Optional=CE18 | |Optional=CE18 | ||
| + | |Exceptions= | ||
| + | |SMART_PremiseAssumptions= | ||
|PremiseAssumptionsAdditional=Integration to Knowledge Center is a customization task. Example code snippet to integrate with Knowledge Center is provided. | |PremiseAssumptionsAdditional=Integration to Knowledge Center is a customization task. Example code snippet to integrate with Knowledge Center is provided. | ||
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}} | }} | ||
|CloudAssumptionsAdditional=This Use Case is available in the Cloud. | |CloudAssumptionsAdditional=This Use Case is available in the Cloud. | ||
| + | |SMART_HybridAssumptions= | ||
| + | |Requires= | ||
| + | |Conditions= | ||
|DocVersion=v 1.1.1 | |DocVersion=v 1.1.1 | ||
}} | }} | ||
Revision as of 14:04, April 16, 2020
This topic is part of the manual Genesys Engage On-Premises Use Cases for version Current of Genesys Use Cases.
Offer FAQs to customers and a knowledge library to employees
What's the challenge?
Your customers don't want to call you if they don't have to — they'd prefer to find information on your website. But when online help is unavailable or produces poor search results, neither your customers nor your agents have quick access to the right answers.
What's the solution?
Consolidate knowledge that's scattered throughout your organization in a single searchable repository. Now, your customers can help themselves; but if they do reach out, your agents are also equipped to provide better, quicker assistance. Leverage machine learning to constantly improve and deliver search relevancy.
Contents
Use Case Overview
Story and Business Context
Knowledge makes it easier for contact center agents to use information to do their jobs boosting agent productivity and customer satisfaction. With the right knowledge, agents can provide resolution to customer queries in real time. When agents have access to standardized content for frequently asked questions, it helps expedite the customer request. Agents (especially when working from home) can address customer issues by using a knowledge base with vital information to solve customer inquiries.
Knowledge solutions support the following outcomes:
- Promote agent growth and development
- Provide quicker problem solving
- Deliver better, faster decision-making abilities
- Avoids redundant effort by agents
- Reduce repeat callers
- Increase customer satisfaction and productivity
- Reduce training time
When agents have at their disposal up-to-date, easily available and relevant knowledge they provide high customer satisfaction to resolve customer issues.
Use Case Benefits*
The following benefits are based on benchmark information captured from Genesys customers and may vary based on industry, lines of business or Genesys product line:
| Use Case Benefits | Explanation |
|---|---|
| Improved Customer Experience | Enhance the customer experience by providing rapid access to frequently searched information and use of customer contextual information at every touchpoint reducing customer effort. |
| Improved Employee Utilization | High quality, consistent content in the response library improves agent efficiency. |
| Improved First Contact Resolution | Improve service by presenting context-specific knowledge to agents that can resolve the customer's request or issue during the first interaction. With an accurate and up-to-date knowledge base being accessible to agents, they can provide the right information every time to customers negating second and third contacts from customers. |
| Reduced Handle Time | Interaction time decreases due to agents receiving customer knowledge search history and no repeating information is necessary. Plus, agents can utilize the knowledge base as well to rapidly respond to customer inquiries. |
| Reduced Volume of Interactions | With an implementation of knowledge base, inbound calls normally handled by agents can now be defected due to customers finding the right information the first time they search the knowledge base. |
*You can sort all use cases according to their stated benefits here: Sort by benefits
Summary
Agents are empowered to search through knowledge bases for appropriate responses to customer inquiries. Agents can leverage partial or complete content from the knowledge base and have confidence in providing customers with pre-authored responses. Agents provide faster and more relevant responses to customers.
Use Case Definition
Business Flow
(1) Employee Knowledge
Business Flow Description Authoring for Knowledge Authors
- Go to the Knowledge workbench to create knowledge documents
- Save, train, test and update knowledge documents
- Once finalized, the author ‘publishes’ knowledge documents to make it available to Agents or customers (as set by the author in the document)
- Documents that are published by the author for agents are now available for agents to search through
- Documents that are published by the knowledge author for customers are now available to Bot authors to also use in Self Service use cases
Knowledge surfacing to Agents
- Agent logs into Workspace either Web Edition or Desktop Edition
- Agent goes to the knowledge tab and enters a search query
- Agent can go through the knowledge results, add the content in knowledge results directly as a response to the customer or browse through the knowledge base to find the required knowledge
Business and Distribution Logic
Business Logic
Distribution Logic
Required agent skill will be determined by the classification and categorization of the search results.
User Interface & Reporting
Agent UI
This use case requires:
- Genesys Knowledge Management enabled
Reporting
Real-time Reporting
N/A
Historical Reporting
- Reporting on knowledge surfaced
- Feedback from customers and agents
- Identification of improvements in knowledge
Customer-facing Considerations
Interdependencies
All required, alternate, and optional use cases are listed here, as well as any exceptions.
| All of the following required: | At least one of the following required: | Optional | Exceptions |
|---|---|---|---|
| None | None | None | None |
General Assumptions
- Genesys Workspace (Desktop or Web Edition) is required
- Genesys native knowledge management solutions
- Supports English only
- Workspace Desktop Edition version 8.5.139.06 and above
- Workspace Web Edition version 9.0.000.65 and above
- Genesys Knowledge workbench will be available through Genesys Cloud CX subscription
- Available for Organizations in North American regions only
Document Version
- Version v 1.1.1 last updated April 16, 2020
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