Flowsery Session Replay Bug Detection: Recordings Into Ranked Issues

Where a funnel report stops at "42% dropped at onboarding", Flowsery's session replay bug detection names the broken button that did it. An AI watches every recorded session, finds the moment things went wrong, and writes it up as an issue you can hand straight to an agent.

Nobody on your team is going to watch 4,000 recordings. That is the whole problem with session replay as a category. You install it, you watch six sessions in the first week, and then the recordings pile up untouched while bugs keep shipping.

This guide covers what the analysis catches and how to get from a detected issue to a merged fix. Jump: What It Detects | Setup | From Issue to Fix | FAQ.

What Flowsery Issue Analysis Detects

Flowsery records real sessions as full DOM playback, not video, then reviews each one automatically. Four signals drive most of what it flags:

• Rage clicks: someone hammering a button that is doing nothing.
• JavaScript errors: the console throw that the user never reported to you.
• Dead clicks: taps on something that looks interactive and is not.
• Unexpected drop-offs: the session that ends mid-flow for no good reason.

Identical occurrences get grouped into one issue and ranked by how many sessions they affect, so a checkout bug hitting 300 people sorts above a cosmetic glitch that hit two.

Task	Manual Session Replay	Flowsery Issue Analysis
Finding a bug	Scrub through recordings yourself	Already grouped and ranked for you
Knowing what matters first	Guesswork	Sorted by sessions affected
Reproducing it	Write the steps from memory	Steps to replicate captured per issue
Getting to the moment	Scrub the timeline	Deep link to the exact timestamp
Handing it to a developer	Screenshot and a paragraph	Ticket in Linear or Jira, or a prompt
Privacy overhead	Consent banner, cookies	Cookie-free, no personal data collected

What You Actually Get Per Issue

An issue in Flowsery is closer to a filed bug report than a dashboard row:

• Severity, from low to critical, with a status of open, in progress, or resolved.
• Sessions affected, first seen, and last detected.
• A description and steps to replicate, written from what the AI saw in the recording.
• The initial URL and the URL at the moment of the failure.
• An inspector with the network calls, console output, and events around the failure.
• A player that skips straight to the second the issue happened, with next and previous session navigation so you can see whether it reproduces.

That last one matters more than it sounds. Being able to jump between five sessions that hit the same bug tells you in a minute whether it is browser-specific, route-specific, or universal.

Setup Guide

Already Running Flowsery

Nothing to do. Session capture rides on the same tracking snippet you already installed. There is no second SDK, no tagging, no config. Issues start appearing on the Issues page as recordings come in.

New to Flowsery

Sign up at flowsery.com, add your site, and paste the snippet. It is one script tag and works with Next.js, WordPress, Shopify, or plain HTML. Recording and analysis are on from the first session.

Coming from PostHog or Amplitude

You do not have to wait for new traffic. Flowsery imports your existing recordings from PostHog or Amplitude and analyzes them, so you get a backlog of real issues on day one instead of an empty page. Connect PostHog with a personal API key and project ID, or Amplitude with an API key, secret key, and data region. The import runs in the background.

Every plan includes 100,000 session recordings and 100,000 AI-analyzed sessions per month.

From Detected Issue to Shipped Fix

This is where it connects to the agent you already run on ClawOneClick.

Copy the Fix Prompt

Every issue has a Copy to LLM action. It builds a prompt out of the issue: what broke, the steps to replicate, the URL, the console and network context. Paste that into your OpenClaw agent or your coding agent and it starts with the actual reproduction instead of your paraphrase of it.

This is the part that changes the loop. Most bug reports lose half their information between the user and the developer. Here the source is the recording itself, and the handoff is a clipboard paste.

Push It to Your Tracker

Connect Linear or Jira in your website settings and report an issue as a ticket without leaving Flowsery. Title, description, and steps to replicate are prefilled. If your Jira project has required fields, you fill them in the same dialog, and you can save them as project defaults so the next report is one click.

Get It in Slack

Connect a Slack channel and new issues land there. For a small team this is usually enough triage: the critical ones show up where you already are, and you open the replay from the message.

Track It Like a Bug

Issues move between open, in progress, and resolved, and take comments. If you are already using Linear or Jira, use those. If you are not, this is enough to stop losing bugs.

Teaching It What Is Not a Bug

Some flagged behavior is intentional. A confirmation step that looks like a drop-off, a deliberate dead zone, a third-party widget that always throws.

Flag the issue as not an issue and explain why. Flowsery suspends it and turns your explanation into a rule that steers later analyses, so the same false positive does not come back next week. The rules are visible and editable on the Rules page. The analysis gets quieter the more you correct it, which is the opposite of how most alerting tools age.

Where the Analytics Skill Still Fits

Worth being precise here: the Flowsery skill for OpenClaw queries analytics, visitors, time series, breakdowns by page, referrer, country, device, goals, and revenue. It does not query issues. Issue analysis lives in the Flowsery dashboard, with Slack, Linear, Jira, and the fix prompt as the ways out of it.

In practice they cover the two halves of the same question. Ask your agent "how did the signup funnel do this week" from WhatsApp or Telegram and you get the number. Open Issues and you find the 4-second Stripe timeout that explains it.

If you run the SEO Suite and Alert-Manager from the 7-skill business stack, the SEO skill brings traffic, the Flowsery skill measures it, and issue analysis catches what that traffic ran into.

Frequently Asked Questions

What is session replay bug detection in Flowsery?

Flowsery records real user sessions as full DOM playback and has an AI review each one. It flags rage clicks, JavaScript errors, dead clicks, and unexpected drop-offs, groups identical occurrences into a single issue, and ranks issues by how many sessions they affect.

Do I need extra code to record sessions?

No. Session capture uses the same lightweight Flowsery snippet you already install for analytics. No separate SDK, no tagging, nothing to configure.

Can I import recordings I already have?

Yes. Flowsery imports session recordings from PostHog and Amplitude and runs the same analysis on them, so you can start from your existing backlog rather than waiting for new traffic.

Can my OpenClaw agent query issues?

Not directly. The OpenClaw Flowsery skill covers analytics data: visitors, breakdowns, funnels, goals, revenue. For issues, use Copy to LLM to hand a full reproduction prompt to your agent, or route issues to Slack, Linear, or Jira.

How many sessions get analyzed?

Every plan includes 100,000 session recordings and 100,000 AI-analyzed sessions per month. Larger quotas are agreed case by case.

Is session replay GDPR compliant?

Yes. Flowsery is cookie-free, collects no personal data, and does not track visitors across sites. Recording and analysis run without a consent banner and without sampling.

What if the AI flags something that is not a bug?

Flag it as not an issue and say why. Flowsery hides it and writes a rule from your explanation so similar reports are not raised again. You can edit those rules later.

Conclusion

Analytics tells you a number moved. Session replay tells you why, but only if someone watches the recordings, and nobody does. Having the AI watch them and file ranked, reproducible issues is what makes the recordings worth keeping.

Try Flowsery free: every session recorded, every recording reviewed, the bugs ranked before you open the page.