Make data-driven decisions

When you need sharper product decisions, the data-driven product decisions AI agent helps you define, track, and act on the metrics that matter most. Use it for KPI dashboards, funnel analysis, retention models, and north star metric work. It turns raw product data into clear decisions, sharper priorities, and evidence you can share with stakeholders.

Analysis

Must-have

Who is it for

Product Managers

Data-driven teams

Analytics

AI Agent Capabilities & Scope

Build KPI dashboards for your product
Choose the right funnel metrics
Review retention data and find improvements
Set a north star metric and OKRs

Product Context Managed by Agent

Knowledge repository artifacts managed and maintained by agent:

kpi-dashboard.md

retention-analysis.csv

funnel-metrics.md

Starter Tasks to Get Started

Pick my north star
Diagnose conversion drop
Decode retention trends
Set team OKRs

Quick Prompts Examples

Simple conversation starters on how to initiate the proper context and goal fors AI agent:

We track sign-up, first action, and payment but our funnel feels incomplete. Help me map the full activation funnel and choose the one metric that predicts paid conversion.
Our D7 retention is 40% and D30 is 18%. Walk me through what's causing the drop and which cohort behaviors I should dig into first.
I need to present product health to the board next week. Help me pick 5 KPIs that show growth, engagement, and risk in one dashboard.

RELATED AGENTS

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Break down backlog stories into prioritized tasks