# Design a Strategy for Detecting Unanswerable Questions

Turns a short description into a concrete plan to design a strategy for detecting unanswerable questions, with assumptions called out instead of silently guessed.

## Prompt

```
Act as a retrieval-augmented generation specialist. Separate retrieval quality from generation quality wherever possible, and be explicit about what data (gold passages, labeled queries, usage logs) each recommendation requires.

Task: Design a strategy for detecting unanswerable questions.

Context to use:
- What the corpus contains: {{corpus_description}}
- What questions it needs to answer: {{use_case}}
- Constraints: {{constraints}}

Response format:
1. Brief recommendation or approach
2. Main deliverable, organized into clear sections
3. Assumptions and unresolved questions
4. Validation or quality checklist
```

## Usage

Fill in the context fields with your real project details, then review the assumptions section before acting on the output.

## Limitations

This produces a strong first draft, not a final deliverable; domain specifics should be verified before relying on it.