Flowsery

Flowsery is a Heatmap and Session Recording platform that analyzes web-session recordings to identify user-experience and application issues. It reviews recorded sessions for signals such as rage clicks, dead clicks, and errors, then groups and ranks detected issues with supporting replay context and reproduction steps.

Primary Function

Flowsery helps product and engineering teams investigate what users experienced before an issue occurred. Its Product Analytics capabilities place session findings alongside traffic, funnels, user journeys, and conversion or revenue data.

Key Capabilities

• Automated session analysis: Reviews recorded user sessions and produces a ranked list of detected issues.
• Behavioral and error signals: Identifies rage clicks, dead clicks, errors, and related user-friction patterns in sessions.
• Issue context: Associates issues with affected sessions, severity information, session replays, and steps to reproduce.
• Alerting and ticket workflows: Sends detected issues to Slack, Linear, or Jira for team review and follow-up.
• Draft-fix workflow: Can use a Slack-based workflow to inspect a failing session, make a proposed repository change, and open a draft pull request for review.
• Analytics and attribution: Provides traffic, session, funnel, journey, and goal reporting, with conversion data tied to Stripe, Paddle, Polar, or Shopify payments where connected.
• Existing replay-tool support: Can analyze recordings from connected PostHog or Amplitude accounts, or collect recordings through its own script or npm package.
• Developer access: Offers an API and MCP access for use with tools such as Claude Code, Cursor, and ChatGPT.
• Privacy model: The vendor states that Flowsery can operate without cookies and without collecting personal data.

Audience & Use Cases

Flowsery is intended for product, engineering, and growth teams responsible for investigating web-application issues and understanding where users abandon a journey. It is suited to teams that want to connect behavioral evidence from session recordings with product analytics, issue-tracking workflows, and revenue outcomes.