{
  "context": "This criteria evaluates how effectively the engineer uses questionary's form system and multi-question workflow capabilities to build an interactive registration wizard. The focus is on proper usage of questionary's form/prompt APIs, conditional question display, validation mechanisms, and appropriate prompt types.",
  "type": "weighted_checklist",
  "checklist": [
    {
      "name": "Form system usage",
      "description": "Uses questionary.form() or questionary.prompt() to create a multi-question workflow that executes questions sequentially and returns all answers as a dictionary",
      "max_score": 30
    },
    {
      "name": "Conditional question logic",
      "description": "Implements conditional display of the team size question using the 'when' parameter or equivalent conditional logic in the question configuration, ensuring it only appears when the user indicates they are a team lead",
      "max_score": 20
    },
    {
      "name": "Text input prompts",
      "description": "Uses questionary.text() for username and years of experience inputs with appropriate validation parameters",
      "max_score": 15
    },
    {
      "name": "Selection prompt",
      "description": "Uses questionary.select() for the programming language choice with a list of options (Python, JavaScript, Go, Rust, Other)",
      "max_score": 10
    },
    {
      "name": "Confirmation prompts",
      "description": "Uses questionary.confirm() for both the team lead and newsletter questions to get yes/no responses",
      "max_score": 10
    },
    {
      "name": "Validation implementation",
      "description": "Implements custom validation using questionary's validate parameter or custom validator classes/functions to enforce constraints (username >= 3 chars, years 0-50, team size 1-100)",
      "max_score": 15
    }
  ]
}