HeronSignal watches real visitors on your live site, ranks issues by what they actually cost you, and hands your team the fix — written, explained, and waiting for approval.
Captured from real visitor sessions across live customer sites.
HeronSignal helps surface the ones worth your attention — before they become support tickets, churn, or missed revenue.
See how it worksBeyond dashboards — HeronSignal turns real behavior into conversion funnels, per-condition metric timelines, and cross-event segments, so you see where users drop off and why.
Turn business events into funnels and see the exact step where users abandon — with drop-off percentages per step.
Build any metric from the dashboard, stack AND-ed conditions, and watch each condition trend on its own line.
"People who viewed pricing and clicked Get started and fired checkout_completed" — counted as unique people or sessions.
The hour goes to reconstructing it. Analytics in one tab, the error tracker in another, logs in a third, the console in a fourth. Nothing shares a timeline, so you stitch it together by hand.
Analytics says traffic dropped. The error tracker says an exception fired. Logs say a request failed. Nothing tells you they're the same story.
Which user, which page, what they clicked before it broke — you reconstruct it from fragments, for a person you can't talk to.
Features go out in hours now. The bottleneck moved from building the thing to finding out what went wrong with it.
Anything expensive to diagnose gets pushed down the list. Not because it doesn't matter — because nobody has the afternoon.
HeronSignal puts every one of those signals on a single timeline, so product and engineering teams go from six tabs and a guess to "this is the issue, and here's the fix."
Modern teams ship quickly. HeronSignal keeps watch after release and surfaces what needs attention, so you can move fast without going blind.
Ship changes confidently. HeronSignal creates a deployment marker the moment your release goes out.
Keep watch without babysitting. Real visitor data flows in automatically — errors, latency, sessions, network failures.
See what deserves attention. AI compares before and after your deploy and tells you exactly what changed and why it matters.
Know which experiences deserve your attention first — ranked by user impact, not event volume.
Understand where users may be struggling before they tell you — or leave without telling you.
Get explanations that are easy to understand and act on — no dashboards to interpret, no raw numbers to decode.
Receive focused recommendations that actually move the needle — not a list of everything that could be improved.
HeronSignal keeps the technical noise out of the way. You get a clear explanation of what may be hurting the experience, why it matters, and the practical next step to try first.
Learn about AI guidanceTurn unclear product issues into easy-language context — so you understand what happened before deciding what to do.
Focus on experiences that deserve attention before lower-impact work — ranked by real user friction, not noise.
Get AI-assisted next steps that help you decide what to improve — specific, scoped, and grounded in your actual data.
Nothing changes without your review. HeronAgent's only write is a draft pull request you approve — and your coding agent gets the same context to fix issues in your own workflow.
Most monitoring hands you a dashboard and wishes you luck. HeronSignal goes one step further: it takes the issue costing you the most and opens the change that fixes it, for you to review.
Install the HeronSignal GitHub App on the repository behind your site. One time, and you are done.
Pick an error and choose Fix with HeronAgent. It reads the real sessions, stack, and recent deploys behind it — not just a stack trace.
The proposed change arrives as a draft PR in your normal workflow. You read it, adjust it, and merge it. Nothing ships without you.
Cursor, Claude, and Codex connect over MCP and pull live errors, sessions, funnels, and health checks — so they fix with real production evidence instead of guessing. Read-only by default.
See how MCP worksheronsignal.com is monitored by HeronSignal. Sporadic asset failures, a duplicate-key race in our own database, a payment key mismatch that broke a real checkout — all found by the product and fixed the same way you would.
Read the storyInstead of showing a wall of charts, the analysis explains what changed, who is affected, and what to fix first.
Run a free scanMobile visitors show weaker engagement before taking action.
Pricing options may not be clear enough on smaller screens.
Focus on experiences that deserve attention before lower-impact work.
Review the pricing page layout on mobile. Test whether simplifying the plan comparison increases engagement before the next campaign.
HeronSignal focuses on experience signals: performance, sessions, clicks, errors, health checks, and business events. It is not a session replay tool and it is not built to collect credentials.
No password, payment, or form field values are intentionally recorded.
Sensitive URL parameters such as tokens, passwords, emails, and secrets are redacted.
IP addresses are hashed for analytics instead of shown as raw addresses.
Teams can mark sensitive areas with data-heronsignal-mask or data-heronsignal-ignore.
HeronSignal is not tied to one team type. It helps anyone responsible for software understand what changed, what matters, and where AI can guide the next improvement.
Keep watch on the experiences most likely to affect real users.
Check whether important journeys feel ready for new traffic.
Connect experience signals before guessing what changed.
Know quickly when important pages or flows need attention.
Turn scattered signals into clear priorities and next steps.
Use one language for websites, apps, services, and stores.
Moved from Google Analytics, Sentry, PostHog, Datadog & Clarity.
What early testers say
Join the early access list and be among the first to use HeronSignal for AI-guided website experience monitoring.