Project Blueprint 12 min read

Idea & research pipeline

The discovery phase of your blueprint — define your product idea, validate it with market research, analyze competitors, and build audience profiles.

Idea page

The Idea page is where everything begins. This is the planning wizard where you define your product in natural language. The information you provide here directly impacts the quality of every AI generation that follows.

What to include in your idea

  • Product name and one-line description
  • The core problem your product solves
  • Who your target users are (job titles, company sizes, demographics)
  • How your product is different from existing solutions
  • Your preferred tech stack (or let the AI recommend one)
  • Business model — how you plan to monetize (subscription, freemium, usage-based)
  • Known competitors you want the AI to analyze
  • Geographic focus — where your primary market is
  • Any constraints (regulatory, budget, timeline)
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The more specific you are in the Idea step, the better your entire blueprint will be. "A project management tool" produces generic output. "A project management tool for construction teams in India that integrates with WhatsApp for field updates" produces highly specific, actionable output.

Research

The Research section generates a structured market research document powered by AI. It takes your wizard context and produces:

Market Overview
Total addressable market (TAM), serviceable addressable market (SAM), and your realistic capture (SOM) based on your product category and geography.
Target Audience
Detailed persona profiles including demographics, pain points, buying behavior, decision-making process, and willingness to pay.
Competitor Landscape
Analysis of direct and indirect competitors — their strengths, weaknesses, pricing, market positioning, and feature gaps you can exploit.
Positioning
Recommended positioning strategy based on competitor gaps and audience needs. Includes unique value proposition suggestions.
Success Factors
Key factors that determine success in your product category, based on industry patterns and competitor analysis.

The research output includes a confidence meter — higher confidence means the AI had more context to work with. If confidence is low, return to the Idea step and add more detail.

Analysis

The Analysis page provides deeper analytical insights beyond the basic research. It includes:

  • SWOT analysis — Strengths, Weaknesses, Opportunities, and Threats for your product
  • Market trends — Emerging patterns in your product category
  • Revenue potential estimation based on market size and pricing assumptions
  • Risk factors specific to your chosen market and business model

Idea Validation

The Idea Validation tool provides a structured scorecard for your product idea. It evaluates your concept across multiple dimensions:

  • Problem severity — How painful is the problem you're solving?
  • Market size — Is the market large enough to sustain your business?
  • Competitive advantage — Can you differentiate meaningfully?
  • Technical feasibility — Is this buildable with your resources?
  • Monetization clarity — Is your revenue model proven?
  • Timing — Is the market ready for this solution?

Each dimension receives a score, and an overall viability score is calculated. This helps you make data-informed decisions about whether to proceed, pivot, or explore alternative ideas.

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Idea Validation is most useful before you invest significant time in the full blueprint. Run it early to sanity-check your concept before generating Architecture and Features.