Quantum Metric and FullStory

Augmeta for session replay: connect what users ran into to the KPI that moved

Session replay shows you what happened to a customer. It does not tell you which of a thousand sessions explains the number on Monday’s slide. Augmeta connects to Quantum Metric and FullStory, so an AI Operator can start from a KPI that moved, read the errors, alerts and segments behind it, and work out whether that friction explains the change and what it is worth. Your replay tool keeps doing what it does. The Operator takes the question further, with your team setting the goals and guardrails.

On top, not instead

Does Augmeta replace Quantum Metric or FullStory?

No. Augmeta has no session replay of its own. An Operator is designed to read what these tools record, not to replace them. They hold evidence no other system has: what a customer actually ran into. The Operator’s job starts from the other end, with a KPI that moved, and goes looking for that evidence. More in Who Augmeta is not for.

Coverage

What can an Operator read?

ToolWhat it reads
Quantum MetricSession data such as errors, API failures, rage clicks, page views and conversions; alert incidents, with when they started, whether they are ongoing and how many sessions and users they hit; and events by name
FullStorySegments and how each is defined, exports of a segment’s users, and links to session replays for identified users
FullStory with BigQueryEvery event, page view, click and error, once FullStory’s Data Destinations feature exports them to your BigQuery warehouse, so they can be joined to revenue or tickets
Inside the average

Where does session data help an investigation?

When the answer is hiding inside an average. Augmeta’s published case study from an online pet pharmacy shows the shape of the problem. Prescription orders on the mobile app fell 30% in under three weeks, and nothing on the standard dashboards looked broken, because the failure affected one product line in one channel and was averaged in with everything else. The sources in that investigation were web analytics, the order system, release and bug records, app performance monitoring and the promotions calendar. Finding a broken checkout that the app’s averages were hiding

A session tool adds the layer those sources cannot: what customers ran into on that path. Which errors fired, which alerts opened, how many sessions they hit, and which segment they sit in. The Operator asks those questions of the tool, and sizes what it finds in dollars. A rage click that came before a decline is a lead, not proof that it caused it, so it says which of the two the evidence supports. Do AI analytics agents invent explanations?

Setup

How does Augmeta connect?

Quantum Metric

In Augmeta, go to Settings, then Integrations, and open the Quantum Metric card.
Sign in as a Quantum Metric user with access to the subscription and to its MCP connector, which is part of Quantum Metric’s agentic add-on.
Choose the workspaces the Operator may read, and describe each in a line.

Augmeta only reads: queries, events and alert incidents. A question covers up to seven days at a time.

FullStory

In FullStory, create an API key under Settings, then API Keys, and note your Organization ID.
In Augmeta, go to Settings, then Integrations, and open the FullStory card.
Enter the key and the Organization ID, and choose your data center region.

Looking up a replay by customer needs identified users, so your site has to call FullStory’s identify function. For event-level analysis, turn on Data Destinations to BigQuery and connect BigQuery as well.

Across systems

What changes when the Operator can see more than sessions?

A session tool shows the friction. It does not show what shipped the night before, what the order system recorded, or what a promotion did to the mix. So the Operator reads your session data next to your analytics, your warehouse and the releases and tickets that record what changed. You can ask a question that crosses systems, for example: “Our checkout conversion dropped 8%. What changed in user behavior?” The approach is described in What is Agentic KPI Ops?

Action

What happens after the answer?

Augmeta does not stop at an insight. Inside the goals and guardrails your team sets, an Operator can propose a configuration change to remedy what it found, open a Jira issue with the bug report or improvement already written up, or coordinate the team that makes the change. Then it checks whether the fix worked. What runs on its own, what needs approval and what stays with a person is a setting, not a fixed answer.

What about security and data handling?
Augmeta connects to sensitive systems, so the defaults are strict. Credentials are encrypted with AES-256-GCM before they reach storage. Operators query your data in place during the investigation. Analysis is scoped to one organization with strict per-tenant isolation. Augmeta uses foundation models through their APIs and does not fine-tune or train models on customer data. A SOC 2 Type II audit is in progress.
The full posture
Questions

Frequently asked questions

Does Augmeta have session replay?

No. It reads the session tools you already run, Quantum Metric and FullStory, and works on top of them.

Does Augmeta replace Quantum Metric or FullStory?

No. Your session tool stays where it is. Augmeta reads what it records, together with your analytics, warehouse and ticketing.

What does Augmeta need to connect to Quantum Metric?

A sign-in as a Quantum Metric user with access to the subscription and the MCP connector, which is part of Quantum Metric’s agentic add-on. You choose which workspaces the Operator may read.

What does Augmeta need to connect to FullStory?

A FullStory API key, your Organization ID and your data center region. Event-level analysis also needs Data Destinations to BigQuery.

Can the Operator watch every session?

No, and it does not need to. It starts from a KPI that moved and asks the tool for the errors, alerts and segments behind it.

Does Augmeta train models on our session data?

No. Augmeta uses foundation models through their APIs and does not fine-tune or train models on customer data. Each organization’s data is strictly isolated.

See an Operator on a KPI your replay tool keeps explaining

Pick one KPI where your team keeps watching sessions to work out why it moved, and bring it to a demo.

Related reading: Who Augmeta is not for, How to find revenue leaks on a large retail website, Augmeta with Jira and GitHub and Augmeta security.