Chat with Sense is a set of features that use the latest in machine learning and large language models (LLMs). It is designed to make Heap easier for new users to use and learn. Chat with Sense includes the following capabilities:
Chat: You can now ask analytics questions in natural language. Chat with Sense will choose the right chart, events, segments, properties, filters, and groupings for you automatically. You can ask follow-up questions (e.g. “how does this vary by marketing channel?”) and Chat with Sense will automatically leverage context from the chat history when answering. Our chat is also the first on the market to directly leverage help center content to provide guidance. Ask a question like "What should I look into next?" or "How do I analyze a feature launch?", and Chat with Sense will create a personalized response using the context from the conversation and the full power of Heap's help center documentation, best practices guides, and online training materials.
Summaries: When creating a new chart, Chat with Sense will automatically attempt to create a title for the chart and describe it in the form of a plain English question that answers “what is this chart trying to show?” while also highlighting key choices like events, groupings, or filters that impact the analysis, without the complexity of showing the same query builder interface used to create the chart. This makes for much more approachable, readable charts when sharing insights with your peers.
Follow-ups: Using the auto-generated description on charts, Chat with Sense will identify similar questions asked by others in your account and highlight a set of up to 3 follow-up questions to show alongside each chart. These questions are aimed at encouraging iterative analysis (for example: breaking down a time trend in signups by country or user segment to learn where new users are coming from). With Follow-ups, you don’t need to have a question in mind – a teammate can share any chart with you, and in one click, you can chat with Heap to dive deeper into the data.