Graph
User Prompt

🗣️User Prompt

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.

Source

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.

Source

Prompt Engineering Few-shot Prompting Zero-shot Prompting Chain-of-Thought Context Window Retrieval-Augmented Generation Role Prompting Guardrails

COMPETING TERMS

Assistant Prompt

KNOWLEDGE AREAS

AI Data Science

TARGET AUDIENCE

AI Engineer Data Scientist BI Specialist AI Product Manager Data Analyst

EXTERNAL SOURCES

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