The plot thickens!
AI for customer research
Hyper searches the customer calls, threads, and notes it can access, and helps you understand what customers need.
What Hyper does for customer research
- Reads your call notes. Hyper searches meeting notes and transcripts in Granola, Zoom, and Krisp.
- Gathers the feedback. Hyper collects what customers said in Slack, email, and your CRM in HubSpot or Salesforce.
- Finds the patterns. Hyper groups requests and complaints, counts them, and quotes the customers who said them.
- Shares what it found. Hyper writes the summary in Notion or Google Docs, and files the requests in Linear.
What to ask Hyper
- “What were the top complaints in customer calls this month?”
- “Find every customer who asked for an API, with a quote from each.”
- “Summarize our last ten calls with enterprise prospects.”
- “Why did customers cancel last quarter? Check the calls and emails.”
You stay in control
By default, Hyper asks before it sends, posts, or changes something in your tools. Some actions let you allow future actions of the same kind; others require approval each time. You can also ask for a draft first. Hyper does not use your data to train or improve general-purpose AI models, and does not let its AI providers do so.