DATA-04 / ANALYTICS AGENT

An AI analytics agent.
Evidence before claims.

A measurement specialist for baselines, outcome reviews, and useful reporting after a change.

THE MISSION

Analytics Agent.
A defined role.

A task being completed is not the same as a useful result. The Analytics Agent concept focuses on making that distinction visible.

01

Record the baseline

Capture the period, scope, data source, and metrics before a test starts.

02

Compare like with like

Keep page and query groups consistent. Surface missing data and changes in the measurement setup.

03

Write the outcome review

Explain what moved, what did not, and what the evidence cannot tell us.

INPUTS

What it needs.

  • Read-only measurement data
  • A dated change log
  • The experiment definition
OUTPUTS

What comes back.

  • Baseline snapshots
  • Outcome summaries
  • Follow-up questions for the SEO Agent

THE BOUNDARY

Permission is
part of the brief.

No guaranteed attribution. A before-and-after improvement should not be presented as proof that the agent caused it.

Read the control model →

START SMALL. BUILD FROM THERE.

Put a specialist
on the right problem.

Share the first job you would give this agent. The initial scope should be small enough to review and useful enough to matter.

Explore early access

BEFORE THE FIRST WORKFLOW

Questions worth
asking first.

Is the Analytics Agent connected to Google Analytics today?

No. Analytics is a roadmap role. This website does not provide a live account connection or collect customer analytics.

What should the agent measure?

The proposed role compares a defined outcome with a recorded baseline and describes uncertainty. Counting completed actions alone is not treated as evidence of business value.