128 lines
3.1 KiB
Markdown
128 lines
3.1 KiB
Markdown
# Personal Information Intake Template
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## Overview
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This template guides the collection of personal information for databank population.
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## Interview Structure
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### 1. Basic Identity
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- Full legal name
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- Preferred name/nickname
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- Online handles and professional identities
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- Contact preferences and methods
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- Geographic location (current and planned moves)
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- Age/birth year
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### 2. Professional Background
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- Career timeline and key positions
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- Core competencies and specializations
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- Industry experience and expertise areas
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- Professional certifications and qualifications
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- Notable achievements and recognitions
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- Current professional focus and goals
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### 3. Philosophical Positions
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- Core values and beliefs
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- Political affiliations and civic positions
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- Ethical frameworks and guiding principles
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- Approach to work and collaboration
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- Views on technology and AI integration
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- Stance on data privacy and sovereignty
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### 4. Technical Preferences
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- Preferred tools and platforms
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- Technology stack and environment
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- AI tool usage patterns and preferences
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- Development methodologies and practices
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- Security and privacy practices
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- Automation and efficiency approaches
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### 5. Lifestyle and Context
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- Daily schedule and work patterns
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- Communication preferences and style
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- Collaboration approaches and expectations
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- Work-life balance priorities
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- Ongoing projects and initiatives
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- Future plans and aspirations
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### 6. Relationships and Networks
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- Key professional relationships
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- Organizational affiliations
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- Community involvement
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- Mentorship and advisory roles
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- Partnership and collaboration patterns
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## Response Format
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Please provide responses in the following structured format:
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```yaml
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identity:
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legal_name: ""
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preferred_name: ""
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handles:
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- platform: ""
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handle: ""
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contact_preferences:
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- method: ""
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preference: "" # high/medium/low
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location:
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current: ""
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planned_moves: []
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birth_year: 0
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professional_background:
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career_timeline: []
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core_competencies: []
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industry_experience: []
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certifications: []
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achievements: []
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current_focus: ""
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philosophical_positions:
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core_values: []
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political_affiliations: []
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ethical_frameworks: []
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approach_to_work: ""
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ai_integration_views: ""
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data_privacy_stances: []
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technical_preferences:
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preferred_tools: []
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technology_stack: []
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ai_tool_patterns: []
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development_methods: []
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security_practices: []
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automation_approaches: []
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lifestyle_context:
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daily_schedule: ""
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communication_preferences: ""
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collaboration_approach: ""
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work_life_balance: ""
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ongoing_projects: []
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future_plans: []
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relationships_networks:
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key_relationships: []
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organizational_affiliations: []
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community_involvement: []
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mentorship_roles: []
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collaboration_patterns: []
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```
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## Validation Criteria
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- Completeness of all sections
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- Consistency with existing databank information
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- Plausibility and internal coherence
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- Relevance to professional and technical context
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- Sufficient detail for AI agent understanding
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## Frequency
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This intake should be updated:
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- Annually for major life changes
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- Quarterly for ongoing project updates
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- As-needed for significant changes in circumstances |