De-risk every product decision with real population feedback.

Inside the conversation where you build. Persona research, audience evidence, and a recommendation you can act on.

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Works with ClaudeOAuth via app.cambium.aiSetup in under 2 minutes
The problem

Claude will tell you who would buy it. It cannot actually ask them.

Ask whether a roadmap will work, or whether the audience is real, and the answer comes back confident, fluent, and invented. The decisions you make with it inherit the bias of what the internet shows. The people who would actually pay are often not the people who post.

Who would actually use this? What do they earn, where do they live, what would make them switch? The data sits across public datasets that are hard to join, and surveys you cannot afford to run.

What it does

A real population behind every product decision.

The Cambium AI Product Manager MCP brings the same synthetic population that powers Cambium AI into every roadmap call, persona check, and pricing question. The business case and decision log keep that evidence in place across sessions.

A real population to ask, not a model guess

The same synthetic population that powers Cambium AI. Personas built on verified U.S. public data, demographically representative of the country. Claude can interview them, segment them, and ask what would change their mind. Answers stop being invented.

Research anchored to your business

Your company, market, strategy, and constraints load in at the start of every session. The research runs against your specifics, not generic assumptions. Roadmap calls stop drifting from what the business is actually trying to do.

Every decision keeps its evidence

When you commit, kill, or pivot, the rationale and the population data behind it are logged together. Phase is tracked alongside. Revisit a call months later and you can still see what the data said when you made it.

How it works

Talk to Claude. Cambium does the research.

Once the MCP is connected, you don't think about it. Describe what you're trying to figure out, Claude calls the right tools, runs the research, and brings back a brief.

You ask

In plain language.

No prompt engineering, no schema. Just the question you'd ask a senior PM sitting next to you.

Research the launch of an ad-supported tier for our streaming service.
Pressure-test the risk: brand dilution vs price-sensitive growth.
Decision made. Run a limited-geo pilot first. Move us into build.
Cambium runs

Four parallel analyses.

Audience, interviews, market and regulatory analysis kick off together. Claude streams progress as it goes.

research_product_idea
✓Audience sizing
✓Persona interviews
✓Market research
✓Regulatory analysis
You get

A decision-grade brief.

Verdict, evidence, named uncertainties. Save the decision and Cambium remembers it next session.

Pivot. Pilot first.

Limited-geo pilot, not a global launch.

Best fit: 18-44 price-sensitive viewers
Audience: ~7.6M in target band
Inside the analysis

Four parallel analyses, returned as one brief.

Every research question fans out into four areas of analysis. Their findings are reconciled into a single structured brief.

Audience sizing

Identifies target demographics and selects synthetic personas grounded in U.S. public data.

From the brief

~7.6M US adults 18-44, HHI $25k-$55k, renters in major metros.

Persona interviews

Interviews those personas about your idea, surfaces reactions, objections, willingness to pay.

From the brief

4 interviews. 75% interested, 75% willing to pay at the tier.

Market research

Searches the public web for competitors, market size, growth rate and timing signals.

From the brief

46% of US SVOD subs on ad tiers. 5 direct competitors at $4.99-$9.99.

Regulatory analysis

Flags compliance requirements, agency guidance and legal risks that could block launch.

From the brief

15 regs apply. 3 critical blockers, including COPPA in scope.

Every brief is more than a verdict

What comes back when the research runs.

Every brief includes verbatim persona transcripts, ranked risks, and citations behind every figure you see.

Dallas Wright

It feels like a balancing act between making things affordable and keeping the vibe that made me subscribe.

Dallas Wright · 31 · Michigan

Jeffrey Beard

When I am winding down after work, the last thing I want is ads interrupting my shows or movies.

Jeffrey Beard · 23 · California

Nayeli Brown

That could feel like a betrayal or downgrade to some existing customers, and maybe push them away.

Nayeli Brown · 18 · Nebraska

Alejandro Pineda

If my favorite shows are not on the ad tier because of licensing, that is a dealbreaker.

Alejandro Pineda · 41 · California

Four personas interviewed for the ad-tier brief.

Risks, ranked

What will kill the launch.

The brief identifies critical blockers that must be cleared before launch, not deprioritized into a future sprint.

Critical pre-launch blockers
  1. Content rights gaps for ad-supported distribution
  2. EU/UK and US state privacy and ad-tech compliance
  3. Child-profile safeguards under COPPA

Three critical blockers across 15 applicable regulations.

Sourced, not invented

Every claim traces back to a source.

Market figures, regulatory references, competitor data. Each line in the brief points to a public source you can verify.

82
public references cited in the ad-tier brief

Skip the panel study. Get the answer inside Claude.

Get access to the Cambium AI
Product Manager MCP.

Built for anyone making product decisions without a research team. We are rolling out access week by week. Tell us how you would use it.

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FAQ

Common questions.

Cambium AI builds population intelligence from public data. We turn sources like the U.S. Census, American Community Survey and other government datasets into synthetic personas that teams can interview, run scenarios against, and use to stress-test decisions before they're final.
MCP stands for Model Context Protocol. It's an open standard that lets AI clients like Claude Code connect to external tools and data sources at runtime. The Cambium AI Product Manager MCP exposes our research tools (audience sizing, persona interviews, market and regulatory analysis) so Claude can call them inside any conversation.
Claude today. It is where most product teams are already building with AI, and where the Model Context Protocol is native. Support for other clients is rolling out next.
Yes. The MCP authenticates against your Cambium AI workspace via OAuth. If you don't already have an account, you'll create one as part of onboarding. It's quick and free during private beta.
Most PM research is slow, expensive, or both. Recruiting panels takes weeks. Focus groups cost five figures. The Cambium AI Product Manager MCP gives you a research partner inside Claude that runs audience sizing, persona interviews, market and regulatory analysis in parallel, and brings back a verdict with named uncertainties. You can de-risk a roadmap call in minutes instead of waiting on a study.
Cambium personas are synthetic, generated from U.S. public data sources like the Census, American Community Survey, and regulatory filings. Each one is grounded in observed demographic attributes (age, location, income, education, household), then layered with AI-generated biography, motivations, frustrations, and media habits so you can interview them as you would real people.
Yes. Your business case, project phase and decision log persist across sessions. When you start a new conversation, Claude recalls the relevant context automatically. You never need to re-introduce yourself.