Use this template to collect high-quality human feedback for AI training with systematic approaches that ensure consistency, reduce bias, and accelerate model alignment.

Tip: Copy this template to your workspace and customize it for your specific AI model and feedback collection objectives.

📋 1. Define Feedback Collection Objectives

Establish clear goals for what human feedback will accomplish in your AI training

Feedback Purpose and Scope

Primary Collection Goals: What specific aspects of AI behavior do you need human feedback about?

• [ ] Model Output Quality - Rating helpfulness, accuracy, relevance
• [ ] Safety and Harm Prevention - Identifying potentially harmful content
• [ ] Preference Learning - Understanding human preferences between options
• [ ] Bias and Fairness - Evaluating equitable treatment across groups
• [ ] Task Performance - Assessing specific capability areas
• [ ] Value Alignment - Measuring adherence to human values

Target AI System:

• Model type: _______________________
• Current capabilities: _______________________
• Intended use cases: _______________________
• Known limitations: _______________________

Feedback Integration Plan:

• Training methodology: RLHF/Constitutional AI/Other