9-Agent Product

9-Agent CRO Workflow

A structured multi-agent product system for conversion optimization — breaking a business problem into nine specialist lenses.

The nine lenses

How the workflow thinks

Each agent represents a distinct layer of product judgment. The goal is not output volume — it is structured decision quality.

Pulls the core numbers, identifies trends, and frames the baseline problem.

Reads interface friction, flow problems, and task completion barriers.

Looks at market and competitor context to ground the recommendation.

Synthesizes reviews, complaints, support tickets, and user feedback.

Checks implementation constraints, dependencies, and feasibility.

Defines hypotheses, test design, and measurement strategy.

Ranks actions by impact, effort, confidence, and sequence.

Flags downside risk, edge cases, and mitigation steps.

Produces the final summary, decision memo, and execution plan.

Workflow

This page can hold screenshots, examples, and write-ups later. The current version sets up the structure cleanly.

The system starts with funnel signals, user behavior, and a clear problem statement.

Each agent contributes a different angle — UX, customer voice, tech, risk, and prioritization.

The final output becomes an execution plan with tradeoffs, sequencing, and metrics.