Difference between revisions of "EE24/Canonical"
m (1 revision imported) |
|||
| Line 6: | Line 6: | ||
}} | }} | ||
{{SMART Canonical | {{SMART Canonical | ||
| − | |||
| − | |||
| − | |||
|BuyerPersonas=Chief Data Officer, Head of Customer Experience, Head of Customer Service | |BuyerPersonas=Chief Data Officer, Head of Customer Experience, Head of Customer Service | ||
|QualifyingQuestions=1 How are you identifying patterns of requests and issues on your current channels? | |QualifyingQuestions=1 How are you identifying patterns of requests and issues on your current channels? | ||
| Line 17: | Line 14: | ||
3 How do you find the best practices that your teams are naturally developing so they can be shared or used for training? | 3 How do you find the best practices that your teams are naturally developing so they can be shared or used for training? | ||
| + | |DataSheetImage=CE09 - genesys ivr personalization - header (2).png | ||
| + | |PlatformChallenge=Most customer requests and issues follow consistent patterns, but you still need people to make sense of their language to respond. Teams can still miss emerging changes in customer requests until they become bigger issues. Finally, how can you identify better issue handling to adopt for training? | ||
| + | |PlatformSolution=AI transcription of voice, combined with text interactions in all channels, identifies keywords and phrases along with customer context to improve responses. Detect changes in the occurrence of words and phrases over time and across interactions to unlock valuable insights into call outcomes. | ||
| + | |HighLevelFlowLucid=https://www.lucidchart.com/documents/edit/74ad401d-942d-422f-8b38-bb8668ab6a4b/0 | ||
}} | }} | ||
{{SMART DataSheetFlow | {{SMART DataSheetFlow | ||
Revision as of 16:58, January 15, 2020
Contents
Administration Dashboard
Go back to admin dashboard to create and manage platform-specific use cases in the system:
Titles and Taxonomy
| Main Title | Subtitle | Taxonomy | Product Category | Draft | Published | Edit |
|---|---|---|---|---|---|---|
|
Genesys Text and Speech Analytics for Customer Service |
Mine call recordings for insights to improve agent and customer experiences |
Employee Engagement |
Workforce Engagement |
No draft |
Canonical Information
Platform Challenge and Solution
Platform Challenge: Most customer requests and issues follow consistent patterns, but you still need people to make sense of their language to respond. Teams can still miss emerging changes in customer requests until they become bigger issues. Finally, how can you identify better issue handling to adopt for training?
Platform Solution: AI transcription of voice, combined with text interactions in all channels, identifies keywords and phrases along with customer context to improve responses. Detect changes in the occurrence of words and phrases over time and across interactions to unlock valuable insights into call outcomes.
Platform Benefits
The following benefits are based on benchmark information captured from Genesys customers and may vary based on industry or lines of business:
| Canonical Benefit | Explanation |
|---|---|
| Improved Customer Experience | Identify and understand what makes a great experience for each type of contact. |
| Increased Revenue | Improve attribution, including online to offline engagement, through call analysis. |
| Reduced Customer Churn | Identify new issues as they emerge from the noise with frequency and new terms monitoring. |
High Level Flow
High Level Flow Steps
- Focus areas and campaigns are identified
- A list of topics, phrases and words is created
- Calls are classified based on their sales outcome
- Agent performance is classified
- Focused training is provided bases on performance
- Sales outcomes are in turn improved
Data Sheet Image
.png)
Canonical Sales Content
Personas
- Chief Data Officer
- Head of Customer Experience
- Head of Customer Service
Qualifying Questions
1 How are you identifying patterns of requests and issues on your current channels?
2 Do you think your teams are finding new or changing customer issues fast enough to respond proactively (before they snowball)?
3 How do you find the best practices that your teams are naturally developing so they can be shared or used for training?
Pain Points (Business Context)
Desired State - How to Fix It