AI can't fix what it can't see.
AI can make changes. Does it know which ones matter to your customers?
Quantum Metric shows your teams and AI agents where customers struggle, what it costs, and what to fix first. Then it measures whether the change worked.
Better customer outcomes. Tokens well spent.
“Quantum Metric has helped lululemon systematically chip away at checkout errors, which has had a multi-tens of millions of dollars in revenue impact.”
See what Felix® sees.
The customer experience. The business impact. What deserves your attention next.
What it looks like in practice.
A monitoring agent watching checkout completion catches the anomaly overnight and runs the Felix analysis itself. On autofilled addresses, the “Continue” button silently does nothing. Customers tap it four, five, six times. No error is thrown, so nothing downstream sees it. Felix groups every session with that rage-click signature.
Hand your AI coding agent the exact component, the interaction that fails, and the affected sessions, with the evidence needed to fix it.
Continue-rate on the shipping step, against a matched control.
The failed transfer, the retries, and the error behind them are attached to the contact in real time, for the human agent and the AI assistant alike.
Stream the session context into the agent desktop and the AI assistant that opens the conversation.
Handle time, turn count, and repeat contacts on the same issue.
Spend keeps landing on a device-specific break. Felix shows which campaigns pay for sessions that could never convert, and why.
Send the broken device and release to the site team, and pause or reweight spend against the affected segment.
Conversion and cost per order on the same campaign and audience.
Felix finds where ranking, layout, filters, or promotions suppress intent customers already brought with them.
Reorder the result set and surface the filter shoppers actually use, then run it as an experiment.
Conversion and revenue per session on the same query, test against control.
Agent traffic is arriving now. The agent probability score separates it from human sessions, then Felix shows where agents stall and what change unblocks them.
Ship the accessible name and the flow change, then allow the assistant traffic you want and rate limit the rest.
Agent task completion, tracked as its own channel next to human conversion.
Every AI initiative you have is missing the same thing: Experience context.
Your AI is only as good as what it can reason over.
Know what to fix first.
Prove what the fix earned.
Every friction point carries a dollar figure, so the work can be ranked by what it is worth rather than by who asked loudest. After the fix, the same number shows what actually changed.
Some of your traffic is not human. Optimize for both.
Traditional analytics filter out automated agents or bundle them with humans. Quantum Metric separates human struggles from autonomous actions so both can check out successfully.
Human metrics stay honest
Conversion and struggle rates stop being diluted by automated traffic patterns.
Agents finish the task
See where agents stall, and what accessible change lets them complete a purchase.
Good bots, bad bots
Tell assistants apart from aggressive scraping and abuse, before you block legitimate revenue.
Traffic that converts
Measure autonomous agent traffic as a high-intent channel while competitors still filter it.
Trusted by enterprises. Loved by people.
“Once we integrated Quantum Metric with our tool stack, the dam cracked and the insights were flowing continuously.”
Capture once.
Answer anything.
Reuse everywhere.
AI can only reason over what you give it. Quantum Metric automatically captures 2,700× more data than traditional analytics, creating richer experience context for every question, team, and system.
Bring your hardest question. We will answer it on your data.
One tag, a few days, and a question your current stack cannot answer. If the context does not change the decision, nothing else we say matters.