ERA Framework: Expertise-Driven Prompting with Structured Approach

A concise framework focusing on Expertise, Request, and Approach to produce expert-level AI responses with clear methodologies

Last updated: April 28, 2025
Category: Expert PromptingComplexity: Intermediate
EF

Framework Structure

The key components of the ERA Framework framework

Expertise
The specific knowledge domain or skill set the AI should use
Request
The clear statement of what you want the AI to accomplish
Approach
The specific methodology, structure, or process the AI should follow

Core Example Prompt

A practical template following the ERA Framework structure

plaintextExample Prompt
Using expertise in behavioral economics, analyze the effectiveness of our current product pricing strategy. I need you to specifically identify cognitive biases that might be influencing customer purchase decisions. Approach this by first examining each pricing tier, then analyze our presentation of options, and conclude with actionable recommendations that leverage behavioral insights.

Usage Tips

Best practices for applying the ERA Framework framework

  • Specify niche or specialized expertise rather than general knowledge
  • Make requests concrete and outcome-focused
  • Detail a specific approach with sequential steps when possible
  • Match the expertise to the specific request being made
  • Consider combining multiple domains of expertise for complex tasks

Detailed Breakdown

In-depth explanation of the framework components

The E.R.A method delivers results-focused prompts through a balance of execution guidance, results criteria, and audience alignment—ideal for creating business strategies and implementation plans with clear deliverables.

Introduction

The E.R.A FrameworkExecution, Results, Audience—is specially designed for prompts that need to deliver practical business solutions, strategic plans, and actionable roadmaps. This framework excels when your goal is to create content that is not just informative, but directly implementable with clear outcomes.

E.R.A is particularly effective for:

  • Business strategy development
  • Operational planning
  • Project implementation
  • Performance improvement initiatives
  • Market entry strategies
  • Growth planning
By implementing this framework, you'll craft prompts that generate responses with:

  • Execution-Ready steps that can be immediately implemented.
  • Results-Oriented focus with measurable outcomes and KPIs.
  • Audience-Aligned recommendations tailored to specific stakeholders.

E.R.A Framework Structure

1. Execution

  • Definition: The specific actions, steps, or processes needed to implement the solution.
  • Examples: "Outline a 90-day implementation plan," "Provide a step-by-step process," "Include tactical actions with timelines."
  • Tips:
- Request granular, actionable steps rather than general advice.

- Specify the time horizon (30 days, quarterly, annual).

- Ask for implementation phases or priority sequencing.

2. Results

  • Definition: The specific outcomes, metrics, or KPIs that will define success.
  • Examples: "Focus on increasing customer retention by 15%," "Measures should include ROI and market share growth," "Define success metrics for each quarter."
  • Tips:
- Request specific, measurable indicators when possible.

- Include both short-term wins and long-term outcomes.

- Connect metrics to business objectives.

3. Audience

  • Definition: The key stakeholders who will implement, approve, or be affected by the plan.
  • Examples: "For a mid-sized marketing team with limited resources," "To be presented to C-level executives," "Targeting retail operations managers."
  • Tips:
- Define decision-makers vs. implementers.

- Include relevant constraints (budget, team size, expertise).

- Note any specific preferences or priorities of key stakeholders.

Example Prompts Using the E.R.A Framework

Example 1: Market Expansion Strategy

Prompt:

E.R.A Breakdown:

  • Execution: 6-month implementation plan with milestones and departmental responsibilities
  • Results: New customer acquisition, sales cycle reduction, market penetration metrics
  • Audience: Cross-functional implementation team with executive board approval (with specific concerns noted)

Example 2: Customer Retention Program

Prompt:

E.R.A Breakdown:

  • Execution: 90-day action plan with weekly priorities and resource allocation
  • Results: 15% churn reduction and 10% increase in repeat purchases within 3 months
  • Audience: Small customer success team with specific resource constraints

Best Use Cases for the E.R.A Framework

1. Strategic Business Planning

  • Market entry strategies
  • Digital transformation roadmaps
  • Organizational change initiatives
  • Growth planning
Example Prompt:

2. Operational Improvement

  • Process optimization
  • Workflow redesign
  • Efficiency initiatives
  • Cost reduction programs
Example Prompt:

3. Marketing & Sales Planning

  • Go-to-market strategies
  • Lead generation programs
  • Sales enablement plans
  • Channel development
Example Prompt:

4. Team & Project Management

  • Team optimization plans
  • Project delivery frameworks
  • Resource allocation strategies
  • Performance improvement programs
Example Prompt:

Bonus Prompt Engineering Tips for Using E.R.A

📅 Specify time horizons: "First 30 days," "Quarterly targets," "Year 1 vs. Year 2"

📊 Request visual formats: "Include a roadmap visualization," "Format as a Gantt chart," "Present in a balanced scorecard"

🔢 Prioritize actions: "Identify quick wins vs. long-term investments," "Rank initiatives by impact and effort"

💰 Include resource considerations: "With a $10K monthly budget," "For a team of 5 specialists," "With limited technical resources"

🔄 Build in evaluation points: "Include monthly check-in criteria," "Add go/no-go decision points"

Conclusion

The E.R.A Framework provides a structured approach to crafting prompts that generate comprehensive, actionable business strategies and implementation plans. By focusing on execution details, clear results metrics, and specific audience needs, you ensure the AI delivers solutions that can be immediately operationalized and measured against defined success criteria.

Remember:

  • Define the Execution plan with clear steps and timelines.
  • Specify the Results metrics that will indicate success.
  • Align with your Audience's capabilities, constraints, and priorities.

Framework in Action: Examples

See how ERA Framework transforms basic prompts into powerful instructions

Before & After Examples

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

Basic PromptBefore
Analyze our pricing strategy and suggest improvements.
Effectiveness
Based on structure, specificity, clarity, and actionable content
Low
Expertise-Request-Approach EnhancedAfter
Expertise: Apply behavioral economics principles (specifically prospect theory, anchoring effects, and choice architecture) combined with SaaS pricing optimization tactics used by companies with 10,000+ customers. Request: Analyze our current three-tier pricing structure (Basic: $19/mo, Pro: $49/mo, Enterprise: Custom) and identify specific psychological barriers that may be preventing conversions from free trials to paid plans and upgrades between tiers. Approach: First, examine each price point against common psychological thresholds and identify potential framing issues. Next, evaluate our feature bundling strategy using the lens of perceived value vs. actual usage patterns. Then, analyze our presentation format on the pricing page for choice architecture problems. Finally, provide a structured set of 3-5 actionable changes ranked by implementation ease and potential impact, with specific before/after examples.
Effectiveness
Based on structure, specificity, clarity, and actionable content
High

Response Comparison

Basic AI ResponseBefore
Quality:
# Pricing Strategy Analysis

Here are some suggestions to improve your pricing strategy:

1. Consider offering a discount for annual subscriptions to increase customer commitment.

2. Make sure your pricing page clearly communicates the value of each tier.

3. You might want to add a fourth tier between Pro and Enterprise to capture mid-market customers.

4. Highlight your most popular plan to help guide customer decisions.

5. Make sure the feature differences between tiers are clear and compelling.

6. Use customer testimonials on your pricing page to build trust.

7. Consider offering a free trial so customers can experience the value before purchasing.

8. Regularly review competitor pricing to ensure you remain competitive.

9. Use simple, round numbers for easier customer decision-making.

10. Ensure your Enterprise tier has significant value-adds to justify the custom pricing.

These general principles should help you optimize your pricing strategy.
Generic information
Lacks structure
Limited detail
Expertise-Request-Approach Enhanced ResponseAfter
Quality:
# Behavioral Economics Analysis of Current Pricing Structure

## 1. Price Point Psychological Assessment

### Current Barriers Identified:
- **$19 Basic Tier**: Falls just below the common $20 threshold but creates "penny pricing" perception (e.g., $19.99) which research shows signals discount quality rather than premium value
- **$49 Pro Tier**: Creates a significant 158% price jump from Basic, exceeding the 100% threshold where prospect theory indicates customers experience heightened loss aversion
- **Custom Enterprise Tier**: Creates friction through uncertainty; behavioral studies show that the effort required to "contact sales" represents a high-effort micro-barrier that reduces conversion by 40-60%

### Psychological Framing Issues:
- Price anchoring is currently inverted - the $19 serves as a low anchor that makes $49 appear disproportionately expensive
- The feature presentation creates artificial "evaluation anxiety" by requiring significant cognitive load to determine value differences
- The absence of usage metrics tied to pricing tiers fails to provide contextual anchors for customer self-identification

## 2. Feature Bundling Analysis

| Feature Category | Current Approach | Behavioral Issue |
|------------------|-----------------|------------------|
| Core Features | Distributed across tiers | Creates artificial feature scarcity perception |
| Collaborative Tools | Limited until Pro tier | Undervalues network effects that drive upgrades |
| Usage Limits | Arbitrary numerical limits | Lacks reference points for users to evaluate needs |
| Support Access | Standard/Premium division | Leverages fear rather than aspirational motivation |

The current bundling creates "feature evaluation paralysis" where customers struggle to project actual usage patterns onto abstract limits, triggering status quo bias toward remaining at current tier.

## 3. Choice Architecture Evaluation

Your current pricing presentation suffers from three key behavioral challenges:

1. **Comparison Complexity**: Requiring horizontal and vertical scanning creates cognitive load that triggers choice deferral
2. **Default Absence**: No visually highlighted "recommended" option fails to provide choice simplification
3. **Loss-Focused Framing**: Features are presented as "what you get" rather than "what problems you solve"

Eyetracking studies show that complex pricing matrices lead to price-focused (rather than value-focused) evaluation, increasing price sensitivity by approximately 30%.

## 4. Recommended Behavioral Interventions

### High Impact / Easy Implementation:
1. **Implement Strategic Price Anchoring**
   - **Before**: Basic $19 → Pro $49 → Enterprise Custom
   - **After**: Add a "Premium" tier at $99/month to make Pro appear more reasonable via price anchoring
   - **Behavioral Principle**: The "compromise effect" where middle options are selected more frequently when a higher-tier option exists

2. **Reframe Feature Presentation to Loss Aversion**
   - **Before**: "Basic includes: 5 projects, 10GB storage..."
   - **After**: "Teams without Pro face: Delayed approvals, Limited revision history..."
   - **Behavioral Principle**: Loss aversion bias (2.5x stronger motivation than equivalent gains)

3. **Add Social Proof with Segmentation**
   - **Before**: Generic testimonials unconnected to pricing
   - **After**: "82% of marketing agencies choose Pro" or "Most recommended for teams of 5-15"
   - **Behavioral Principle**: Uncertainty reduction through social validation and identity matching

### Medium Impact / Medium Implementation:
4. **Incorporate Usage Visualization**
   - **Before**: Abstract limits like "25 exports per month"
   - **After**: "Handles approximately 5-7 projects per month based on average usage patterns"
   - **Behavioral Principle**: Reduces cognitive load through real-world translation of abstract metrics

5. **Implement Decoy Pricing Option**
   - **Before**: Three straightforward options
   - **After**: Add slightly-worse-value option (e.g., a $45 tier with significantly fewer features than the $49 option)
   - **Behavioral Principle**: Asymmetric dominance effect enhances perceived value of target option

## Implementation Priority Sequence

1. Revise price points and add strategic anchor tier (1-week project)
2. Reframe feature presentation to leverage loss aversion (2-week project)
3. Add contextual social proof with customer segmentation indicators (1-week project)
4. Test revised structure with A/B testing focused on conversion improvements (Ongoing)

This analysis indicates potential for a 15-25% improvement in conversion rates and a 8-12% increase in average revenue per user based on comparable implementations in SaaS businesses with similar pricing structures.
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

Expertise
The specific knowledge domain or skill set the AI should use
Request
The clear statement of what you want the AI to accomplish
Approach
The specific methodology, structure, or process the AI should follow