Help your users find the information they’re looking for at their point of need with predictive Q&A that’s contextual to the page and personalized to them - no typing and no leaving the page.
If the user can’t find their question in the pop-out Q&A panel, a simple search generates a new list of questions to provide the right answer and help deflect 30% - 50% of your support tickets.
Our software analyzes actual search queries to recognize and cluster trending topics or gaps in content. Use this information to convert these queries into new Q&A content.
Native Mobile SDK
Our native mobile software development kit (SDK) allows you to integrate the AnswerDash predictive self-service support into your iOS or Android mobile app and optimize your mobile experience.
AnswerBot, our Facebook Messenger chatbot, uses our AI-powered predictive Q&A engine to provide your users with instant answers 24/7.
Instant Response Time
AnswerBot completely eliminates the issue of delayed chat exchanges, providing your users with instant, contextual self-service support or a direct route to an agent.
Automatically leverage your knowledge base to provide customers with direct access to your content. With a simple point-and-click, they can get answers that are relevant to them.
Automatically import existing content from your knowledge base directly into AnswerDash. We integrate with all the leading support systems including Salesforce, Zendesk, Freshdesk and more.
AnswerDash can provide a seamless transition to your live chat system or create a support ticket that is passed to your ticketing system if your user needs assistance.
AnswerDash continuously improves your knowledge base content as your users ask new questions. Queries are used to locate missing Q&A in your content and fill in any gaps.
Continuous A/B Testing
Continuous testing validates ticket deflection, calculates cost savings and more so that you can optimize your self-service performance.
Provides real-time data about popular Q&A information so that you have actionable insight into which content leads to support tickets, abandonment and conversions.
Find suggestions for Q&A content from actual search phrases and questions asked by your visitors, ensuring that the most relevant content is added and synced with your knowledge base.