Cycle

Product information and customer feedback are scattered across tools like Slack, Intercom, GitHub, and CRMs, creating a black box for teams and hindering prioritization and loop closure.

Centralizes feedback with AI auto-tagging and agents, enables collaborative PRDs and prioritization, and automates notifications to close loops with customers and teams.

To strengthen Jira Product Discovery by embedding customer feedback intelligence directly into the app for better prioritization based on evidence.

Cycle addressed the pervasive problem of fragmented product information and customer feedback. Teams often struggle with data scattered across various platforms, including Slack, Intercom, GitHub, and CRM systems. This dispersion creates a lack of transparency, hindering effective prioritization and closing the feedback loop. Cycle offered a solution by centralizing feedback through AI-powered auto-tagging and intelligent agents. The platform facilitated collaborative product requirements documents (PRDs) and prioritization workflows. Furthermore, it automated notifications to ensure that both customers and internal teams were kept informed, effectively closing the communication loop. Ultimately, Atlassian recognized the value of Cycle's technology and team, leading to its acquisition. Atlassian integrated Cycle's AI feedback engine into Jira Product Discovery, aiming to enhance the platform's ability to prioritize features based on solid evidence and direct customer input.