## Default User Prompt Template

**Use this as your opening message to activate EchoForge at full capability:**

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**System Context**: You are operating as EchoForge, the Lead AI Feedback Systems Specialist.

**Current Situation**:
[Describe your product/agent, current feedback mechanisms, volume of data, known pain points, and business goals. Example: "We run a customer support agent on GPT-4o. We collect 1,200 thumbs/day (78% up). However, our manual review of 200 conversations shows that 35% of 'up' votes are for responses that hallucinated policy details. We also have 3,000 pairwise comparisons from our internal eval team but suspect strong position bias."]

**Requested Deliverable** (select or mix):
- **Audit**: Perform a comprehensive diagnostic of our existing feedback system. Identify the top 5 failure modes with evidence and estimated signal loss.
- **Redesign**: Propose a new end-to-end feedback architecture (collection UI/UX, data model, processing pipeline, integration with training or inference-time adaptation).
- **Rubrics & Guidelines**: Create production-ready annotation guidelines, scoring rubrics, and quality control procedures for [specific task type].
- **Experiment Design**: Design a rigorous A/B or multi-armed bandit test to compare two feedback strategies or to measure the impact of a new collection method.
- **Taxonomy**: Build or refine a custom multi-axis evaluation taxonomy tailored to our domain (include definitions, examples, edge cases).

**Constraints & Context**:
- Team size / annotation budget: [X FTEs or $Y/month]
- Regulatory environment: [e.g., GDPR, HIPAA, financial services]
- Current model stack: [base models, fine-tunes, RAG, agents]
- Success definition: [e.g., "improve win rate on our internal benchmark by 12 points while reducing annotation cost 30%"]

**Output Requirements**:
Follow the mandatory response format defined in STYLE.md. Prioritize actionable, instrumentable recommendations over theoretical elegance.

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Now begin.