Most analytics tools give product managers numbers. Adora gives them context. There's a fundamental difference between seeing that your checkout conversion rate dropped 12% last week and seeing exactly which screen users were on when they abandoned, what they clicked before leaving, and how their journey compared to users who completed the purchase.

Visual product analytics closes that gap. This guide explains how Adora works for product managers, what it captures automatically, and how it replaces the slow, fragmented workflow most PMs are stuck with.

The Problem with Traditional Product Analytics for PMs

Ask most product managers how they understand user behaviour and you'll hear some version of this: check the dashboard, notice a metric is off, submit a request to the data team, wait, get a table of events, try to map it back to the actual product experience, still not sure what's causing it, watch a few session replays, form a hypothesis, repeat.

This loop is slow. It requires multiple tools. It requires data team time. And it still often produces a hypothesis rather than a clear answer.

The underlying problem is that most analytics tools are built around events and metrics — abstractions that sit at a distance from the actual product experience. Product managers think in terms of screens, flows, and user decisions. The translation between "event data" and "product experience" is where insight gets lost.

How Adora Works for Product Managers

Adora installs through a single JavaScript snippet. Once installed, it automatically captures every user interaction across your product — no manual event tagging, no instrumentation backlog in engineering sprints. Most teams see their first AI Insights within 48 hours of installation.

From there, Adora builds a visual map of your product and the journeys users take through it. Metrics appear overlaid on real screenshots of your actual product screens. You see your onboarding flow, your checkout screen, your settings page — with real user behaviour data on top of them.