When setting up multilingual bots, it's important to use automatic translation and custom translations for selected messages.
Start by building your bot in a single language to ensure optimal translation quality. Then, manually translate key bot messages to maintain accuracy and clarity across different languages. This approach helps facilitate communication with a diverse customer base.
Before deploying a conversation bot, it's crucial to prepare your help center content to ensure top customer issues are covered. Start by identifying common issues through reviewing tickets, macros, and other resources. This will help you populate…
When planning answers for your conversation bot, focus on questions that users frequently ask and can be resolved without an agent. Start by reviewing top ticket issues and common help center search terms. Prioritize creating answers for about 20…
Creating effective standard bot responses involves encouraging users to ask concise, single questions and being transparent about the bot's identity. Avoid misleading users into thinking they're interacting with a human, as this can lead to long,…
Improving bot answer-to-question matching can be achieved by using training phrases or assigning intents to answers. For training phrases, use language similar to how users word common questions and group related topics together. If you have an…
When building answers for a conversation bot, start by echoing the user's issue to reduce confusion and guide them to a solution. Engage users by making it clear how they should navigate the bot and provide options throughout the answer….
Monitoring and improving your conversation bot's performance involves using reporting dashboards and reviewing bot activity. Start by using the Explore reporting dashboard to track user engagement and conversation transfers to agents. Address gaps…