Creating Problem-Solution Framework Posts with AI

Problem-solution framework posts demonstrate your ability to identify industry challenges and provide actionable solutions. They show both your deep understanding of industry pain points and your practical expertise in solving them.

This prompt has been tested and works effectively with leading AI models including ChatGPT, Claude, and Gemini. You can expect consistent results across these LLMs, with each potentially offering slightly different stylistic variations.

Core Prompt Template #

Create a problem-solution post addressing {PROBLEM} in the {INDUSTRY} industry. Write from my perspective as {YOUR_ROLE}.

Structure to include:
1. Problem statement that resonates with {TARGET_AUDIENCE}
2. Context of why this problem is significant now
3. Analysis of {NUMBER} key aspects:
   - Root causes
   - Common misconceptions
   - Failed approaches
   - Proposed solution
4. Implementation framework:
   - Immediate steps
   - Long-term strategy
   - Expected outcomes
5. Success metrics and ROI considerations

Style: {TONE} and solution-focused
Length: {LENGTH}

Additional context: {EXPERTISE_BACKGROUND}

How to Use This Prompt #

Required Variables #

  • {PROBLEM}: Specific challenge or issue to address
  • {INDUSTRY}: Industry or sector context
  • {YOUR_ROLE}: Your professional position
  • {TARGET_AUDIENCE}: Who faces this problem
  • {NUMBER}: Number of aspects to analyze (3-4 recommended)
  • {TONE}: Practical, strategic, or consultative
  • {LENGTH}: Recommended 500-700 words
  • {EXPERTISE_BACKGROUND}: Your experience solving this problem

Example Inputs #

{
  PROBLEM: "tech talent retention",
  INDUSTRY: "Software Development",
  YOUR_ROLE: "Engineering Director",
  TARGET_AUDIENCE: "Tech leaders and CTOs",
  NUMBER: "3",
  TONE: "strategic",
  LENGTH: "600 words",
  EXPERTISE_BACKGROUND: "Led engineering teams of 100+, reduced turnover by 40%"
}

Variations #

Strategic Framework Version #

[Base prompt] + Format as a strategic framework with:
- Problem landscape
- Stakeholder analysis
- Solution architecture
- Implementation roadmap
- Risk mitigation

LinkedIn Solution Post #

[Base prompt] + Structure as a LinkedIn post with:
- Relatable problem hook
- Clear pain points
- Proven solution
- Success story
- Implementation tips
Maximum 1300 characters

Case Study Version #

[Base prompt] + Frame as a case study including:
- Initial situation
- Challenge details
- Solution approach
- Implementation steps
- Results achieved

Tips for Best Results #

Do's #

  • Define the problem clearly
  • Use relevant examples
  • Provide practical steps
  • Include success metrics
  • Address common obstacles

Don'ts #

  • Avoid vague solutions
  • Don't overcomplicate
  • Skip theoretical approaches
  • Avoid one-size-fits-all claims

Example Output #

Here's a sample output using the LinkedIn post format:

🎯 How We Slashed Tech Talent Turnover by 40%

The problem: Engineering teams are hemorrhaging talent faster than ever.
The reality: Most retention strategies are stuck in 2020.

After leading 100+ person engineering teams, here's our proven framework:

1. Career Architecture > Career Ladder
- Traditional: Linear progression
- New approach: Skills-based advancement
Result: 2.3x increase in internal mobility

2. Impact Ownership
- Replaced feature ownership with outcome ownership
- Engineers now drive business metrics
Result: 52% higher engagement scores

3. Learning Flywheel
- 20% time reimagined
- Engineer-led guilds
- Cross-project pollination
Result: 40% drop in turnover

Implementation Timeline:
Month 1: Career architecture redesign
Month 2-3: Impact metrics setup
Month 4+: Learning program rollout

CTOs: This isn't just about perks or pay.
It's about purposeful growth at scale.

What's your biggest retention challenge? 👇

#Engineering #Leadership #TalentRetention
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