How is Vantage different from ChatGPT or Claude?

ChatGPT and Claude are great for one-off generation. Vantage is a full workspace. It connects your tools, tracks dependencies across projects, catches conflicts between products, and surfaces what needs your attention every morning. It also remembers every past decision, so a new PM can query across all projects and get cited answers in seconds.

Do I have to switch away from Notion or Linear?

No. You keep all your tools. Vantage connects to them and builds intelligence on top. When you're ready, you can push tickets to Linear or Jira. But the value starts before you create anything — just by connecting your tools and seeing what the intelligence layer surfaces.

What happens on day one?

You connect your tools — GitHub, Linear, Slack — 2 minutes each. Vantage indexes your existing data overnight. By the next morning, you see your first decision queue: what's stale, what conflicts, what changed. No manual setup. No templates to fill out.

What if I only manage one project?

Vantage works for single projects, but it shines when you manage 3–5 or more. Conflict detection, cross-project memory, and the decision queue are most valuable when you have multiple projects that need to stay in sync. If you manage one project, start with the free tier and see if the cited query engine alone saves you time.

All data encrypted in transit and at rest. We never train on your data — the AI providers we use are contractually barred from it. You can disconnect any integration or delete your account at any time. Pursuing SOC 2 Type II.

How does Vantage keep documents and tickets up to date?

When context shifts, you add the new information and Vantage rebuilds every connected deliverable. Documents, prototypes, and tickets all update. You review the changes, accept or reject each one, and approve. Nothing updates silently, and every change is traceable.

How do I get started?

Sign up free at app.vantageos.tech. Connect your tools, and generate your first grounded document within minutes. No credit card required. Upgrade when you need more projects or features.

How many events should I track in Amplitude?

Start with 15-20 core events that represent meaningful user actions. Expand as needed. Most mature products track 50-100 events. The key is quality over quantity: every event should inform a product decision.

Amplitude offers a free tier with up to 10 million events per month. This is sufficient for most early-stage products. Paid plans add advanced features like experiment analysis and data governance.

Is Vantage free to try?

Yes. Vantage offers a free tier with 1 project and 5 AI queries per month.

How-To2026-08-0210 min read

How to Set Up Product Analytics in Amplitude

Amplitude is one of the most powerful product analytics platforms available. Setting it up correctly from the start saves months of cleanup later. The key is a well-designed event taxonomy: a structured naming convention for all the events your product tracks.

This guide covers the full setup process, from event taxonomy design to building your first actionable dashboard.

Step-by-step guide

Step 1: Design your event taxonomy

Before writing any code, define your event naming convention. Use a consistent format like "noun.verb" (e.g., project.created, prd.generated, ticket.exported). Group events by feature area. Document every event with its properties and when it fires.

Step 2: Instrument core user actions

Start with the actions that define your product's core value: user signup, first key action, repeated engagement, and conversion. Do not instrument everything at once. Start with 15-20 core events and expand as needed.

Step 3: Set up user properties

Configure user properties that matter for segmentation: plan type, role, company size, signup date, first value date. These properties let you segment your analysis by user characteristics.

Step 4: Build your first funnel

Create a funnel from signup to first value moment. For most products, this is: Signup > Onboarding Complete > First Core Action > Repeated Use. Identify where users drop off and prioritize fixing those gaps.

Step 5: Set up retention analysis

Configure a retention chart based on your core action. For a PM tool, this might be "Created a project" as the start event and "Returned to the workspace" as the return event. Track weekly and monthly retention.

Step 6: Create a dashboard

Build a dashboard with your key metrics: DAU/WAU/MAU, core funnel conversion, retention curves, and feature adoption rates. Share this dashboard with the product team and review it weekly.

Common mistakes

Instrumenting everything

Tracking every button click and page view creates noise. Focus on events that represent meaningful user actions and business outcomes. You can always add more events later; removing noisy events is harder.

Inconsistent event naming

Mixing formats (click_button, buttonClicked, button.click) makes analysis painful. Choose one convention and enforce it. Document your taxonomy in a shared spreadsheet or wiki.

Not tracking the first value moment

The most important metric for most products is time to first value: how long it takes a new user to experience the product's core benefit. If you do not track this, you cannot optimize onboarding.

Tips

Use Amplitude's Taxonomy feature to manage and govern your events
Set up real-time alerts for critical metrics (e.g., signup conversion drops below 10%)
Create saved cohorts for your key user segments (power users, churned users, new users)
Review your event taxonomy quarterly and deprecate events that nobody uses

How Vantage helps

Vantage connects to Amplitude to pull analytics data into PRD generation. When you create a project, your product analytics ground the AI-generated PRD in real user behavior. This means your specs reflect what users actually do, not assumptions about what they might do.