NEW
An explicit instruction or question provided by the end user to elicit a model’s response for a task.
DESCRIPTION
A user prompt is the end user’s input that directs the model to perform tasks or provide information. It can include instructions, constraints, examples, and data context. Clear, structured prompts improve accuracy and reduce ambiguity. User prompts are interpreted alongside system prompts and other context. Prompt engineering techniques like few-shot examples and role prompting can be embedded within user prompts. Managing prompt length and relevance is crucial due to context limits.
ALTERNATIVE DEFINITIONS
OpenAI Documentation
User messages provide requests or content for the assistant to respond to.
Defines user messages as the end-user’s requests/content in the chat.
Anthropic Documentation
The user role contains inputs and instructions from the end-user to the assistant.
Clarifies that the user role conveys end-user instructions.
RELATED TERMS
Prompt Engineering Few-shot Prompting Zero-shot Prompting Chain-of-Thought Context Window Retrieval-Augmented Generation Role Prompting Guardrails
COMPETING TERMS
KNOWLEDGE AREAS
TARGET AUDIENCE
AI Engineer Data Scientist BI Specialist AI Product Manager Data Analyst
EXTERNAL SOURCES
- Wikipedia - Prompt engineering
- OpenAI - Chat message roles guidance
- Anthropic - Prompt engineering best practices
- Google AI - Prompting guidance for Gemini
TOP QUESTIONS
How to write an effective User Prompt?
State the goal, constraints, expected format, and provide examples. Avoid ambiguity and unnecessary verbosity.
Category: Best practices
How does a User Prompt interact with a System Prompt?
The system prompt sets overarching behavior; the user prompt requests a task within those constraints. Conflicts are resolved in favor of the system prompt.
Category: Explanation
What are common User Prompt mistakes?
Vague goals, conflicting instructions, and too little context often degrade output quality.
Category: Mistakes
Do examples in a User Prompt help?
Yes, few-shot examples guide format and reasoning patterns, improving consistency.
Category: Techniques
How long should a User Prompt be?
As concise as possible while complete. Respect context limits and avoid irrelevant details.
Category: Guidance
Should User Prompts include data schemas or constraints?
Yes, when applicable. Explicit formats, schemas, and acceptance criteria reduce errors.
Category: Best practices
What is a good structure for analytical tasks in a User Prompt?
Define objective, data context, steps, and output format. Request citations or uncertainty when needed.
Category: Guidance
How to mitigate prompt injection in User Prompts?
Sanitize retrieved content, isolate tools, and enforce policies via the system prompt and middleware.
Category: Risk
Can a User Prompt request tool use?
Yes, instruct use of tools or retrieval with clear inputs/outputs and guardrails.
Category: Techniques