Any question. Any situation.
A complete, structured output.

Rocket researches every angle, and returns findings, evidence,
and a clear recommendation. Ready to act on, present, or build from.

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Different decisions.
One standard of output.

Whatever the decision, whoever needs to
make it — the output is always ready to act on.

Product strategy

I'm VP or Product at an AI-powered recruitment platform with 2,000 enterprise customers in US and Europe. Privacy regulations now require explainable AI decisions, but our best-performing models are black-box neural networks. Should we sacrifice 30% accuracy for explainability, keep current models and risk regulatory penalties, or build dual system with complexity?

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Business strategy

I'm Chief Customer Officer of $12B cloud infra company serving US, Europe, Middle East, and India. US customers prioritize uptime, Middle East requires data sovereignty, Europe demands GDPR compliance, India wants cost optimization. Each requirement conflicts with others. Should we build region-specific architectures (operational complexity), standardize on highest common denominator (price competitiveness), or tier by compliance level?

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Growth & GTM

I'm founder of B2B SaaS with 100 paying customers in US tech startups. We proved product works, but can go upmarket to enterprises ($100K ACV, 12-month sales) or down-market to SMBs ($5K ACV, self-serve). Both need different GTM. Which path gets us to $50M ARR faster? Should we pick one or serve both?

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Positioning & pricing

I'm Head of Growth at fintech platform in US and Canada. We charge $99/month, competitor launched at $29/month with VC subsidy. We're profitable, they're burning cash to grab share. Do we match their price and burn reserves, maintain price and lose customers, or compete on value for customers who care about sustainability?

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Market validation

I'm founder raising Series B for B2B marketplace with $15M GMV. Take rate is 12% but customer acquisition cost is $8K per transaction—we spend $8K to earn $960 in margin. We believe repeat rates will improve from 2.5 transactions to 8+. Should I show cohort analysis projecting improvement, commit to lowering CAC through product-led growth, or pivot to SaaS model and admit marketplace economics don't work?

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Moat & defensibility

I’m CEO of $120M analytics platform. Our differentiation is "no-code data transformation" but SQL generators (like Claude) can now write transformations from natural language. Should we integrate AI into product and lose no-code positioning, double down on visual interface (UI moat is weak), or pivot to governance/collaboration features AI can't replicate?

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AI tools return information.
Rocket returns decisions.

Understands the question before researching

Most tools search first. Rocket maps every dimension of your problem — market dynamics, risks, financial implications, your specific context — before a single source is pulled.

Output becomes context for everything that follows

The brief Rocket writes is present when you start building. The PRD is present when the developer opens the project. Nothing re-explained.

A deliverable, not a document to save in your drive

Findings, evidence, and a clear recommendation. Export as PDF or present when it's exactly what the room needs. Not a starting point for more research.

The work is only as good as the thinking before it.

You already know what you're trying to figure out. Type it. Rocket handles everything after that.