How is Vantage different from ChatGPT or Claude?

ChatGPT and Claude write you a document. Vantage keeps the document, prototype, tickets and roadmap connected to the feedback and decisions behind them, and tells you when one of them changes. You can also bring your Vantage context into Claude or ChatGPT, so you don’t have to choose.

Do I have to move off Notion or Linear?

No. Keep the tools you use and connect them to Vantage. Tickets push to Linear with two-way sync, and you approve every change that comes back.

What can I do in the first ten minutes?

Paste customer feedback or describe a problem, and get a PRD with every requirement linked to its source. You can try the demo on this page without signing up. Connect your tools whenever you’re ready.

I own several projects. What does Vantage do across them?

It briefs you every morning on what needs your call, catches specs that contradict each other, and flags anything that went stale after a decision changed. It works for a single project and earns its keep at two or more.

What if the AI gets something wrong?

Nothing updates silently. Every requirement cites the quote, call or metric behind it, and every change arrives as a diff you accept or reject before it touches your docs, tickets or Linear.

Can I use Vantage from Claude or ChatGPT?

Yes. Connect Vantage’s MCP server to Claude, add the GPT Action in ChatGPT, or use an API key. Then ask about your projects, search your specs, or create tickets from wherever you work.

Start on your own for free. When teammates join, they work from the same context, with admin, editor and viewer roles and private drafts that stay invite-only until you publish.

What does fair use mean on the unlimited features?

Unlimited features are meant for real day-to-day work by one person: up to 50 questions a day on Pro and Business, and on Business up to 10 PRDs, journeys or ticket batches a day. Very few people get close. If your team regularly needs more, talk to us.

Your data is encrypted in transit, and we never train on it. The AI providers we use are contractually barred from training on it too. You can disconnect any integration or delete your account at any time. We’re pursuing SOC 2 Type II.

How much does it cost?

Vantage is free to start with 300 credits and no credit card. Projects are unlimited on every plan, and AI work like generating a PRD or a ticket batch uses credits. Pro is $19 per seat a month billed annually ($25 monthly) with 1,500 credits a month, unlimited questions and prototypes. Business adds a shared team workspace and 4,000 credits per seat a month.

Can I guarantee a specific session is sampled?

Not through probabilistic or deterministic percentage sampling alone. Use documented targeted controls when appropriate and verify current behavior.

Does a higher sample fix biased eligibility?

No. It records more of the same selected audience. Review trigger conditions first.

What should the team record?

Purpose, eligibility, sampling, privacy settings and the date they changed, so findings can be interpreted correctly.

Product workflows2026-10-302 min read

Sample PostHog Recordings for Focused Review

Choose which sessions are eligible, then apply sampling and validate the resulting coverage. A targeted replay collection is useful for investigation, but it is not a census of the product’s entire user population.

Before you start: Have project administration access where required, a supported SDK and an agreed privacy policy. Check current recording-rule support before copying settings from an older tutorial.

Worked example: Keep a broad sample for general usability and a focused rule for a troublesome export flow. Record how those groups overlap before comparing the collected sessions.

Step-by-step guide

Define the review purpose

Choose whether the recording is for broad usability, a specific flow or an error investigation. State what the team expects to learn.

Set eligibility first

Configure supported URL, event or feature-flag conditions for the intended audience. Verify whether conditions are combined as alternatives or requirements.

Apply sampling deliberately

Choose the rate for the matching population and estimate expected coverage. Check the current rule model because trigger groups and legacy settings have different interactions.

Test known sessions

Run synthetic included and excluded journeys. Confirm the sampling and trigger behavior using several sessions rather than expecting one specific session to be selected.

Inspect overlap and privacy

Check how multiple rules combine and verify masking. A more permissive rule can undermine a supposedly narrow collection policy.

Document interpretation limits

Save the collection definition and change date. Label findings as observations from recorded sessions and validate prevalence through analytics when needed.

Common mistakes

Sample rate as whole-site coverage

A rate may apply only after conditions match. State the eligible population.

Legacy instructions reused blindly

SDK and rule models evolve. Verify the settings currently used.

Recorded sessions equal all behavior

Sampling and consent shape the subset. Explain the limitation.

Tips

Keep the rule change date with replay review notes.

Check the most permissive overlapping rule.

Use analytics to quantify a replay hypothesis.

Sources and verification

Based on product documentation checked on 2026-10-24. This is a documentation-based guide, not a hands-on benchmark. Features and availability can change.