COAST Framework: Context-Optimized Audience-Specific Tailoring

A comprehensive framework for creating highly contextualized, audience-focused prompts that deliver precisely tailored AI outputs

Last updated: April 28, 2025
Category: Audience-Centered PromptingComplexity: Intermediate
CF

Framework Structure

The key components of the COAST Framework framework

Context
Describe the specific situation, background, or environment
Objective
Define the purpose or goal the content should achieve
Audience
Specify the intended recipients or users of the output
Style
Determine the format, structure, and presentation approach
Tone
Establish the emotional quality and personality of the communication

Core Example Prompt

A practical template following the COAST Framework structure

plaintextExample Prompt
Context: Our cloud storage service experienced unplanned downtime last week affecting enterprise customers for approximately 4 hours. This was caused by a database scaling issue during a planned capacity upgrade. Our engineering team has implemented additional safeguards to prevent similar incidents. Objective: Communicate transparently about the incident while rebuilding trust and describing the specific preventative measures now in place. Audience: IT Directors and CTOs at our enterprise clients ($2M+ annual contracts) who experienced workflow disruptions. Style: Structured email with clear incident summary, timeline, root cause analysis, and future preventions in easily scannable format. Tone: Direct and accountable but reassuring, demonstrating technical competence without being defensive or overly technical.

Usage Tips

Best practices for applying the COAST Framework framework

  • Start with the most relevant contextual details
  • Define your objective in terms of audience impact
  • Include specific audience characteristics and knowledge level
  • Choose style elements that match audience preferences
  • Select tone based on the relationship and situation

Detailed Breakdown

In-depth explanation of the framework components

C.O.A.S.T. Framework

The C.O.A.S.T. framework—Context, Objective, Audience, Style, Tone—helps create highly targeted prompts that deliver precisely tailored outputs for specific situations and audiences.

Introduction

The C.O.A.S.T. FrameworkContext, Objective, Audience, Style, Tone—is a comprehensive approach to prompt engineering designed for creating highly targeted, audience-focused content. This structured methodology ensures that AI-generated outputs are:

  • Contextually Grounded – Situated in the specific environment or situation
  • Objective-Driven – Aligned with clearly defined goals
  • Audience-Centered – Tailored to the specific needs and characteristics of recipients
  • Stylistically Appropriate – Formatted for maximum effectiveness
  • Tonally Resonant – Conveying the right emotional quality
This framework is particularly valuable for:

  • Marketing and sales communications
  • Customer service responses
  • Educational content
  • Internal communications
  • Product documentation
  • Any content where audience perception is critical

C.O.A.S.T. Framework Structure

1. Context

Describe the specific situation, background, or environment

The Context component provides the relevant background information that frames your request. Good context helps the AI understand the specific circumstances that influence your needs.

Good examples:
  • "Our startup just raised $2M in seed funding and needs to hire 15 engineers in the next quarter"
  • "We're launching a new healthy snack product targeting parents of young children"
  • "I'm preparing for a technical interview at a FAANG company next week"
Bad examples:
  • "We need more customers" (lacks specifics)
  • "Our website isn't performing well" (too vague)
  • "I need to prepare for something" (undefined situation)

2. Objective

Define the purpose or goal the content should achieve

The Objective component clearly states what you want to accomplish with the AI's output. This goal-oriented approach ensures the response is useful for your specific purpose.

Good examples:
  • "To persuade hesitant customers to upgrade to our premium plan by addressing common objections"
  • "To explain complex data privacy concepts in an accessible way that builds user trust"
  • "To create excitement about our upcoming feature release while setting realistic expectations"
Bad examples:
  • "To make something good" (unmeasurable goal)
  • "To increase sales" (too broad)
  • "To sound professional" (subjective outcome)

3. Audience

Specify the intended recipients or users of the output

The Audience component defines who will receive or use the content, including their relevant characteristics, knowledge level, and needs. Understanding the audience ensures the content resonates appropriately.

Good examples:
  • "Mid-level HR managers with limited technical knowledge but strong interest in automation tools"
  • "First-time homebuyers in their 30s who are overwhelmed by the purchasing process"
  • "Software developers familiar with React but new to TypeScript"
Bad examples:
  • "Everyone" (too broad)
  • "Users" (insufficiently specific)
  • "People who might be interested" (undefined audience)

4. Style

Determine the format, structure, and presentation approach

The Style component specifies how the content should be structured and formatted. This ensures the output is presented in a way that best serves your objective and audience.

Good examples:
  • "A step-by-step tutorial with code examples, screenshots, and troubleshooting tips in each section"
  • "A comparison table with features in rows, competitors in columns, and clear visual highlighting of our advantages"
  • "A narrative case study format that begins with the challenge, walks through the process, and concludes with measurable results"
Bad examples:
  • "Make it look good" (subjective and vague)
  • "Professional format" (undefined standard)
  • "The best way to present it" (non-specific direction)

5. Tone

Establish the emotional quality and personality of the communication

The Tone component defines the voice, emotional quality, and relationship approach for the content. The right tone ensures the content connects appropriately with your audience.

Good examples:
  • "Authoritative but approachable, positioning us as knowledgeable guides rather than lecturers"
  • "Empathetic and reassuring, acknowledging customer frustrations while focusing on solutions"
  • "Enthusiastic and inspiring, with a touch of playfulness that reflects our brand personality"
Bad examples:
  • "Professional" (too generic)
  • "Not too formal" (defined by what it isn't)
  • "Good tone" (subjective and unspecified)

Example Prompts Using the C.O.A.S.T. Framework

Example 1: Crisis Communication

Prompt:

C.O.A.S.T. Breakdown:

  • Context: Data breach exposing specific data types, fixed vulnerability, engaged security firm
  • Objective: Notify customers while maintaining trust and providing clear security steps
  • Audience: 50,000+ customers with varying technical expertise, concerned about data security
  • Style: Clear email with headers, bullet points, action items, links, and FAQ section
  • Tone: Transparent, apologetic, reassuring, non-technical but competent

Example 2: Educational Content

Prompt:

C.O.A.S.T. Breakdown:

  • Context: Online learning platform launching data science courses targeting career-changers, high drop-out rates in technical courses
  • Objective: Create an introductory lesson demystifying machine learning, motivate through practical applications
  • Audience: Career-changers 25-45, educated but non-technical, motivated by career advancement, anxious about technical learning
  • Style: Visual-heavy, conceptual diagrams, real-world examples first, gentle math intro, knowledge checkpoints, analogies
  • Tone: Encouraging, supportive, intellectually rigorous, directly addressing anxiety

Best Use Cases for the C.O.A.S.T. Framework

1. Marketing Communications

  • Product announcements
  • Email campaigns
  • Sales presentations
  • Brand messaging
Example Prompt:

2. Customer Support

  • Help documentation
  • Response templates
  • Troubleshooting guides
  • Feedback requests
Example Prompt:

3. Technical Documentation

  • User manuals
  • Developer guides
  • API documentation
  • Implementation instructions
Example Prompt:

4. Internal Communications

  • Change management
  • Policy announcements
  • Team updates
  • Knowledge sharing
Example Prompt:

Bonus Tips for Using C.O.A.S.T. Effectively

💡 Research your audience: The more specific your audience description, the more tailored the content will be

🎯 Frame objectives as outcomes: What should change as a result of your communication?

🔍 Include context that impacts decisions: Focus on situational factors that should influence content choices

📊 Be specific about style elements: Name exact formats, structures, or reference examples that illustrate your vision

🗣️ Describe tone in paired qualities: Use contrasting attributes (e.g., "authoritative but accessible") for nuance

Conclusion

The C.O.A.S.T. Framework provides a comprehensive approach to crafting highly effective prompts that generate audience-centered, purposeful content. By methodically addressing context, objective, audience, style, and tone, you ensure that AI-generated outputs are precisely tailored to your specific communication needs.

The framework can be extended with additional components for specialized needs:

  • Timeline: Indicating progression or sequencing requirements
  • Constraints: Adding explicit limitations or boundaries
  • Examples: Providing samples that illustrate desired output
  • Keywords: Specifying terms or phrases to include or emphasize
Remember that audience-centered communication requires intentional design. The C.O.A.S.T. framework helps ensure that every element of your content is purposefully crafted to resonate with the specific people you're trying to reach.

Framework in Action: Examples

See how COAST Framework transforms basic prompts into powerful instructions

Before & After Examples

See how this framework transforms basic prompts into powerful instructions for AI

Basic PromptBefore
Write an email to our customers about the recent service problems we've been having.
Effectiveness
Based on structure, specificity, clarity, and actionable content
Low
Context-Objective-Audience-Style-Tone EnhancedAfter
Context: Our enterprise SaaS platform experienced three separate outages last week (Jan 15-19), with the longest lasting 4.5 hours. Root causes included a failed database migration, DDoS attack, and a third-party API dependency failure. 32% of customers were affected, primarily in the European region. Our engineering team has completed a full post-mortem and implemented specific preventative measures. Objective: To transparently explain what happened, take ownership of the failures, rebuild customer confidence by detailing specific improvements made, and provide a clear path for affected customers to receive service credits or additional support. Audience: Enterprise partners (CIOs, IT Directors) at 200+ companies who depend on our service for business-critical operations and who are technically sophisticated but need clear, direct information they can share with their own leadership. Style: A structured, formal letter with clear section headings, a concise executive summary at the top, a detailed timeline of events, specific technical explanations without jargon, and bullet-pointed action items. Tone: Professionally accountable and transparent without being defensive. Demonstrate appropriate concern while projecting confidence in the solutions implemented. Empathetic to business impact while remaining factual.
Effectiveness
Based on structure, specificity, clarity, and actionable content
High

Response Comparison

Basic AI ResponseBefore
Quality:
Subject: Service Disruption Notice

Dear Valued Customer,

We wanted to inform you about the recent service problems we've been experiencing with our platform. We apologize for any inconvenience this may have caused to your business operations.

Our system experienced some downtime over the past week due to technical issues. Our team has been working hard to resolve these issues and restore normal service.

We understand how important our service is to your daily operations, and we take these interruptions seriously. We are taking steps to prevent similar problems in the future.

If you have any questions or concerns, please don't hesitate to contact our support team.

Thank you for your patience and understanding during this time. We value your business and are committed to providing you with reliable service.

Best regards,
The Team
Generic information
Lacks structure
Limited detail
Context-Objective-Audience-Style-Tone Enhanced ResponseAfter
Quality:
# SERVICE RELIABILITY IMPROVEMENT PLAN
## January 22, 2025

Dear Enterprise Partner,

**EXECUTIVE SUMMARY: RECENT SERVICE DISRUPTIONS**

Between January 15-19, our platform experienced three separate service disruptions affecting approximately 32% of our enterprise customers, primarily in European regions. The longest incident lasted 4.5 hours. We take full responsibility for these failures, have completed comprehensive root cause analyses, and have implemented specific preventative measures detailed below. Affected accounts will receive automatic service credits per our SLA terms.

## INCIDENT TIMELINE & DETAILS

**Incident #1: Database Migration Failure**
* **Duration:** January 15, 10:45-15:15 UTC (4.5 hours)
* **Impact:** 28% of customers experienced slow response times; 12% complete service unavailability
* **Root Cause:** Planned database migration executed during non-maintenance window caused cascading query failures
* **Resolution:** Emergency rollback to previous database state and rescheduling of migration

**Incident #2: DDoS Attack**
* **Duration:** January 17, 08:20-10:40 UTC (2.3 hours)
* **Impact:** 18% of customers experienced intermittent service timeouts
* **Root Cause:** Distributed denial-of-service attack targeting our authentication services
* **Resolution:** Traffic filtering implementation and distribution of authentication services

**Incident #3: Third-Party API Dependency Failure**
* **Duration:** January 19, 14:05-15:30 UTC (1.4 hours)
* **Impact:** 15% of customers experienced failure in reporting and analytics functions
* **Root Cause:** Unannounced API changes from payment processing partner
* **Resolution:** Implementation of API version pinning and redundant provider configuration

## ACTION PLAN & PREVENTATIVE MEASURES

**Immediate Actions Completed:**
1. Implemented enhanced pre-deployment testing protocols for all database migrations
2. Deployed advanced DDoS protection across all entry points with automatic scaling
3. Established redundant payment processing providers with failover capabilities
4. Increased system monitoring granularity with 15-second interval checks
5. Expanded on-call engineering team coverage for European business hours

**Structural Improvements (In Progress):**
1. Re-architecting authentication services for regional isolation (completion: Feb 10)
2. Implementing cross-region data redundancy for all customer data (completion: Feb 15)
3. Developing comprehensive third-party dependency monitoring system (completion: March 1)

## SERVICE CREDITS & SUPPORT

Per our Enterprise SLA, all affected accounts have automatically received service credits of 150% of the outage duration. These credits appear in your February invoice as line-item adjustments.

We have established a dedicated response team for any ongoing concerns:
* Direct Line: +1-555-123-4567
* Email: enterprise-support@example.com
* Response SLA: 15 minutes or less

## COMMITMENT TO EXCELLENCE

As your mission-critical technology partner, we understand that even brief disruptions impact your operations significantly. These incidents fell short of our 99.99% uptime commitment and our own standards of excellence. Beyond the technical improvements outlined, we are also reviewing our communication protocols to ensure more proactive and detailed outage notifications.

I welcome the opportunity to discuss these incidents and our response in greater detail. I have availability for direct conversations with your team this week and can be reached at cto@example.com or on my direct line at +1-555-987-6543.

Respectfully,

[SIGNATURE]
Jamie Smith
Chief Technology Officer
Professional format
Expert insights
Actionable content

Key Improvements with the Framework

Professional Structure

Clear organization with logical sections

Targeted Focus

Precisely aligned with specific outcomes

Enhanced Clarity

Clear intent and specific requirements

Actionable Output

Concrete recommendations and detailed analysis

Framework Component Breakdown

Context
Describe the specific situation, background, or environment
Objective
Define the purpose or goal the content should achieve
Audience
Specify the intended recipients or users of the output
Style
Determine the format, structure, and presentation approach
Tone
Establish the emotional quality and personality of the communication