flowchart TD
    A([Research Goal]) --> B{Methodology\nAnalyzer}
    B -->|JTBD 0.87| C[Job-to-be-Done]
    B -->|Journey 0.71| D[User Journey]
    B -->|Hypothesis 0.62| E[Hypothesis\nTesting]
    B -->|Segmentation 0.55| F[Segmentation]
    C --> G[Survey\nGenerator]
    D --> G
    E --> G
    F --> G
    G --> H[4 Sections · 18 Questions]
    H --> I[Pre-flight\nSimulation]
    I --> J{Quality Check\nn=50 personas}
    J -->|Q07 leading\nflagged| G
    J -->|Clean| K[Field\nDeployment]
    K --> L[Response\nStream]
    L --> M[AI Analysis\nEngine]
    M --> N[Opportunity\nScores]
    M --> O[Report\nDraft]
    N --> P[Chat Insights]
    O --> Q[PDF · PPTX · XLS]
      

sequenceDiagram
    participant U as Team
    participant CL as Claude
    participant OE as OAIRA Engine
    participant SIM as Simulation
    participant FLD as Field

    U->>CL: /oaira-study-design
    Note over U,CL: Q3_Churn.pdf attached
    CL->>OE: analyze_goal(context)
    OE-->>CL: JTBD selected · score 0.87
    CL->>OE: generate_survey(JTBD, n=18)
    OE-->>CL: draft ready · 4 sections
    CL->>SIM: pre_flight(personas=50)
    SIM-->>CL: flags · Q07 leading · Q14 double-barreled
    CL->>OE: revise(flags)
    OE-->>CL: survey v2 · clean
    CL-->>U: ready to field
    U->>CL: ship it
    CL->>FLD: deploy()
    FLD-->>OE: responses streaming
    OE-->>U: live analytics
      

graph LR
    A[Claude.ai\nClaude Code] -->|/oaira skill| B[OAIRA\nEngine]
    C[ChatGPT\nCursor] -->|MCP tools| B
    D[Your Product\nREST API] --> B
    B --> E{Methodology\nRouter}
    E --> F[Survey\nBuilder]
    E --> G[Interview\nAgent]
    E --> H[Deep Research\nPipeline]
    F --> I[Simulation\nLayer n=50]
    G --> I
    H --> I
    I --> J[Field\nDeployment]
    J --> K[Analysis\nEngine]
    K --> L[oaira.worksona.io]
    L --> M[Analytics\nDashboard]
    L --> N[Report\nExport]
    L --> O[Team\nManagement]