Roadmap ahoy!
AI for product managers
Hyper turns feedback into tickets, reads your product data, and writes the spec, with context from connected team conversations.
What Hyper does for product managers
- Turns feedback into tickets. Hyper gathers requests from Slack, email, and call notes, and files them in Linear or Jira.
- Reads your product data. Hyper queries PostHog and Google Analytics, and manages feature flags and experiments in PostHog.
- Writes the spec. Hyper drafts specs and release notes in Notion or Confluence.
- Closes the loop. When a ticket ships, Hyper drafts the update to the customers who asked for it.
What to ask Hyper
- “What were the top five feature requests from customers this month?”
- “How many people used the new export button last week?”
- “Write a spec for bulk editing from the Slack thread and the Figma file.”
- “Tell everyone who asked for dark mode that it shipped today.”
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.