Get Smart with Salesforce Einstein
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Salesforce Einstein Basics
Get Started with Einstein -
Get Started with Einstein7 Topics
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Learning Objectives - Einstein
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AI Basics and Smart Assistants
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I Have AI and Smart Assistants Down. How Does Salesforce Einstein Fit In?
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But How Can Einstein Specifically Benefit My Business?
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So What Makes Einstein Different?
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Do I Have to Be a Genius to Use This? I’m Pretty Sure Einstein Was a Genius
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The Time Is Now for Salesforce Einstein
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Learning Objectives - Einstein
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Learn About Einstein Out-Of-The-Box Applications7 Topics
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Responsible Creation of Artificial IntelligenceUse the Einstein Platform9 Topics
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Understand the Ethical Use of Technology8 Topics
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Learn the Basics of Artificial Intelligence5 Topics
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Recognize Bias in Artificial Intelligence6 Topics
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Einstein Bots BasicsRemove Bias from Your Data and Algorithms6 Topics
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Learn About Einstein Bots6 Topics
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Plan Your Bot Content4 Topics
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Einstein Next Best ActionLearn the Prerequisites and Enable Einstein Bots3 Topics
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Get Started with Einstein Next Best Action9 Topics
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Learning Objectives - Einstein Next Best Action
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Rise of Business Intelligence
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A Wealth of Insights Brings a New Set of Challenges
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Better Recommendations with Einstein Next Best Action
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Unify Sources of Insight
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Connect Recommendations to Automation
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Surface Actionable Intelligence
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Applications for Different Lines of Business
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How Can I Get Einstein Next Best Action?
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Learning Objectives - Einstein Next Best Action
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Sales Cloud EinsteinUnderstand How Einstein Next Best Action Works7 Topics
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Increase Sales Productivity5 Topics
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Automate Sales Activities5 Topics
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Target the Best Leads3 Topics
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Close More Deals6 Topics
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Connect with Your Customers and Create New Business4 Topics
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Sales Cloud Einstein Rollout StrategiesImprove Sales Predictions4 Topics
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Use AI to Improve Sales
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Start with a Plan
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Set Goals and Priorities
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Get Ready for Einstein
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Quick Start: Einstein Prediction BuilderStart Using Sales Cloud Einstein
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Sign Up for an Einstein Prediction Builder Trailhead Playground
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Create a Formula Field to Predict
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Enrich Your Prediction
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Build a Prediction
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Quick Start: Einstein Image ClassificationCreate a List View for Your Predictions
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Get an Einstein Platform Services Account
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Get the Code
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Create a Remote Site
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Create the Apex Classes
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Einstein Intent API BasicsCreate the Visualforce Page
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Get Started with Einstein Language
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Set Up Your Environment
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Create the Dataset
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Train the Dataset and Create a Model
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Put Predictions into Action with Next Best ActionUse the Model to Make a Prediction
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Learn the Basics and Set Up a Custom Playground
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Define and Build a Prediction
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Customize Your Contact and List Displays
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Create Recommendations for Einstein Next Best Action
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Create a Next Best Action Strategy
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Add Next Best Action to Your Contacts
Participants 106154
With an understanding of chatbot terms, Maria and the Ursa Major Solar service team are in a better position to plan what kinds of bot content to create. After all, what good is a bot if it’s not clear what it’s going to say to customers? Not knowing what a bot should say is as bad as the bot saying the wrong thing: Each makes for a poor customer experience.
In her previous planning meeting with the service team, Maria agreed to write the bot’s greeting and compile a list of ways customers ask for help.
Maria explains to Sita and the service team that from everything she’s learned, the best people to research or suggest bot content are the support agents who work with customers every day. Agents know customers. Agents are on the front lines, so they know customers’ questions, concerns, and common issues. But the best people to actually craft bot content are writers. Writers know the importance of words. Writers know how to use words to reflect a company’s brand and tone. Most important, writers know how to create a customer experience with words. Words in, words out… Knowing the impact of words is the best way to write content that helps customers.
Nevertheless, Maria leads the content planning with these topics and questions.
| Topic | Questions | Answers |
|---|---|---|
| Define bot context | What’s your company name and industry? | Ursa Major Solar and the renewable energy industry |
| What are your most common customer service scenarios? | Order status, appointment scheduling, inquiries about prices, store hours, and locations | |
| Give the bot personality | What’s your bot’s name? | Solar Sammy |
| Describe your bot’s personality using one to three adjectives. | Smart, snappy, and sincere | |
| How is this similar to or different from your company brand? | Similar to our brand, but don’t let smart become arrogant | |
| How does your bot convey this personality in a greeting? For example, hello, HELLO, Hello!, Hi, Hey, ‘Sup, how can I help u? | “Hello, I’m a bot named Solar Sammy!” | |
| How does it convey this personality in a farewell? | “Goodbye, I hope I helped you.” | |
| How does it respond to gratitude with personality? | “Oh, thank you!” | |
| How does it apologize with personality? | “Oh, I’m sorry. I’d like to help you.” | |
| When should your bot change the personality of its apologies? | If Solar Sammy makes more than two apologies, it should redirect to a support agent immediately. | |
| Design the conversation | Can you identify the bot as not human in a greeting? | Yes: “Hello, I’m a bot named Solar Sammy! I’m here to help, but a real human can help you at any time, too.” |
| Are there any menu options to set expectations? | Yes: We want the option to transfer to an agent at any time, and to close the conversation, to show in a persistent menu. |