Experience context for AI

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.

Trusted by the teams behind experiences you use every day
UnitedWyndham

“Quantum Metric has helped lululemon systematically chip away at checkout errors, which has had a multi-tens of millions of dollars in revenue impact.”

Danny Ryder
Danny Ryder
Chief Digital Officer, lululemon
Felix AI · Agentic analytics

See what Felix® sees.

The customer experience. The business impact. What deserves your attention next.

What it looks like in practice.

Context for AI coding
Recover lost revenue
Why do customers stall on the shipping step and never continue?
Understand

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.

Quantify
4,318
sessions in 24 hours
$312K
in carts at risk
20 min
to root cause
Act

Hand your AI coding agent the exact component, the interaction that fails, and the affected sessions, with the evidence needed to fix it.

Measure

Continue-rate on the shipping step, against a matched control.

Before
Nothing errors. Every request returns 200, monitoring is green, and the ticket reads “checkout is broken” with no way to reproduce it.
After
Checkout completes again, and the $312K stuck in abandoned carts converts instead of disappearing.

Every AI initiative you have is missing the same thing: Experience context.

Your AI is only as good as what it can reason over.

Your teams & AI agents

Your existing stack

CRM, CDP, data warehouse, APM, logs

Customer and system data.

The missing layer

+ Experience context

What customers did, experienced, and told you.

Observed
WebAppKiosk
Direct
VoCCall center

Bring experience context wherever AI works.

Connect Quantum Metric through MCP to the tools your teams use and the agents serving your customers.

Connect via MCP
Analyze and decide
ChatGPT
Claude
Gemini Enterprise
Microsoft Copilot
Build and improve
Devin
Factory.ai
Cursor
Claude Code
Codex
GitHub Copilot
Antigravity
Figma Make
Support and resolve
Amazon Connect
Sierra
Gemini Enterprise for Customer Experience

Proving the return

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.

Opportunity

Revenue at risk behind each issue

What the friction costs today, ranked highest first.

Proven

Revenue recovered after the release

Measured against a control or matched cohort you define.

01

Understand

What happened, why it happened, and who it affected.

02

Quantify

Revenue and customer impact, so the right issue gets priority.

03

Act

Fix the code, change the experience, inform support, optimize the journey.

04

Measure

Prove the result: revenue recovered, conversion lifted, cost reduced.

Voice of customer

Sometimes observing tells you everything. Sometimes you just need to listen.

Surveys and intercepts run on the same platform that watched the session, so intent and evidence never live in two systems that disagree.

Ask in the moment
Trigger surveys when customers encounter friction.
Every response carries its session
Connect what customers say to what actually happened.
Quantify the impact
Prioritize feedback by the customers and revenue affected.
Maria Robledo
“

“When one customer tells us something is wrong, we immediately know why, how many people it affects and can quantify the impact. That speed and clarity changed how we operate and respond to customer frustration.”

Maria Robledo

Optimization & Insights Lead, MasOrange

AI Agent Visibility

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.

01 / 03

The foundation

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.

Deploy once

Automatically capture behavioral, technical, experience, and business context at unmatched depth.

Ask later

Answer questions you never knew to tag for in advance.

Reuse everywhere

Put the same experience context to work across teams, systems, and AI.

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.