
Get to the heart of every Copilot conversation with Chatpulse.
Copilot Studio metrics typically show what happened, but understanding why performance changed, or where to act, can require deeper analysis of the conversations themselves.
Chatpulse analyses complete conversation data from Copilot agent conversations to uncover root causes, quantify their impact and prioritise the changes with the greatest value. Crucially, it detects conversational markers that denote a bad experience.
See the patterns.
Understand the conversations.
Understand the conversations.
Chatpulse combines quantitative performance analytics with qualitative analysis of what customers actually said.
Explore trends, topics, journeys, cohorts and individual conversations in one place. Move from an executive view of your bot’s performance to the exact messages behind an issue.
Use the evidence to improve Copilot agent performance and measure whether each change worked.

Uncover what standard Copilot metrics miss.
Chatbot analytics in action

Taking Copilot Studio agent analytics to the next level
Copilot Studio provides operational reporting, but Chatpulse adds the deeper conversational context needed to understand the topics, scenarios, and failure points behind those results.
Through the Chatpulse connection with Dataverse, teams can investigate complete conversations, compare cohorts and time periods, quantify misrouting, measure escalation and abandonment, and monitor whether each improvement delivered the intended outcome. Chatpulse can also accept additional metadata augmented to the conversation transcripts, to enable more advanced filtering and provide a wider business context for meaningful analysis.
Chatbot analytics frequently asked questions
Answers to common questions about Chatpulse, conversational AI analytics and improving chatbot performance.
Talk to us about chatbot analytics for Copilot Studio
Tell us about your chatbot, Copilot Studio agent, voicebot or virtual assistant and what you want to improve.



