Structured Techniques
5 frameworks, Step-by-step templates that give every prompt a clear, repeatable structure.
*These are learning tools, not prompts. They teach you to write your own, think of them as training wheels that guide you while you learn, then fall away once you can ride on your own.
Overview
Structured frameworks provide step-by-step templates that transform vague prompts into clear, repeatable instructions. Each framework defines specific elements, like context, role, instructions, and output format, that ensure consistency across different tasks and team members.
Use these frameworks when you need predictable, professional outputs or when onboarding team members who are new to prompt engineering. They are the foundation that makes every other technique more effective.
Structured Techniques 5
CRISP
2024Five-element template: Context, Role, Instructions, Scope, Parameters.
Still active techniqueCRISPE
2024Capacity and Role, Insight, Statement, Personality, Experiment: brief the AI, then ask for variants.
Still active techniqueCOSTAR
2024Six-element template optimized for audience-aware professional content.
Still active techniqueContext & Structure
2024Systematic approach to organizing prompt context and structural elements.
Still active techniqueConstrained Output
2023Techniques for controlling AI output format, length, and structure.
Still active techniqueTechnique Comparison
Side-by-side comparison of all 5 frameworks in this category.
| Technique | Year | Best For | Key Strength | Complexity |
|---|---|---|---|---|
| CRISP | 2024 | Quick daily tasks | Simplicity & speed | Low |
| CRISPE | 2024 | Exploring options | Consultant-style briefing | Low-Medium |
| COSTAR | 2024 | Professional content | Audience awareness | Medium |
| Context & Structure | 2024 | Organized prompts | Systematic approach | Low |
| Constrained Output | 2023 | Format control | Output precision | Low |
Related Categories
Explore other framework categories that complement Structured Techniques.
In-Context Learning
12 frameworksTeach AI by demonstration with zero-shot, few-shot, and example selection methods.
Reasoning & CoT
33 frameworksChain-of-thought methods for transparent, step-by-step reasoning.
Prompting Strategies
50 frameworksVersatile techniques for agentic workflows, personas, and input refinement.