Creating Professional Insights Posts with AI

Professional insights posts share your unique perspective and expertise in a way that provides immediate value to your audience. They combine personal experience with practical wisdom to establish your authority in your field.

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 professional insights post about {TOPIC} from my experience as {YOUR_ROLE}. Write for {TARGET_AUDIENCE} focusing on {VALUE_ASPECT}.

Structure to include:
1. Context setting:
   - Why this matters now
   - Common misconceptions
   - Real-world relevance
2. Share {NUMBER} key insights:
   - What I've learned
   - Why it works
   - Real examples
   - Implementation tips
3. Practical application:
   - How to start
   - Common pitfalls
   - Success indicators
4. Next steps for readers:
   - Action items
   - Resources
   - Implementation guide

Style: {TONE} and practical
Length: {LENGTH}

Additional context: {EXPERTISE_CONTEXT}

How to Use This Prompt #

Required Variables #

  • {TOPIC}: Specific area of insight
  • {YOUR_ROLE}: Your professional position
  • {TARGET_AUDIENCE}: Who you're sharing with
  • {VALUE_ASPECT}: Key benefit to highlight
  • {NUMBER}: Insights to share (3-5 recommended)
  • {TONE}: Authoritative, helpful, or experienced
  • {LENGTH}: Recommended 500-700 words
  • {EXPERTISE_CONTEXT}: Your relevant experience

Example Inputs #

{
  TOPIC: "building remote teams",
  YOUR_ROLE: "Engineering Director",
  TARGET_AUDIENCE: "tech leaders",
  VALUE_ASPECT: "practical team management strategies",
  NUMBER: "4",
  TONE: "experienced and practical",
  LENGTH: "600 words",
  EXPERTISE_CONTEXT: "Built 3 remote teams across 12 time zones"
}

Variations #

LinkedIn Insights Post #

[Base prompt] + Format as LinkedIn post with:
- Experience hook
- Key learnings
- Practical tips
- Success metrics
- Discussion prompt
Maximum 1300 characters

Newsletter Version #

[Base prompt] + Structure as newsletter with:
- Executive summary
- Detailed insights
- Case examples
- Action steps
- Further reading

Twitter Thread Version #

[Base prompt] + Format as thread with:
- Hook tweet
- Key insights
- Examples
- Tips
- Resources
8-10 tweets

Tips for Best Results #

Do's #

  • Use real examples
  • Include metrics
  • Provide context
  • Share specifics
  • Offer clear steps

Don'ts #

  • Avoid generalizations
  • Don't theorize
  • Skip basic advice
  • Avoid jargon
  • Don't oversell

Example Output #

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

🌍 Remote Team Building: Real Lessons from 3 Continents

After building 3 remote engineering teams across 12 time zones, here's what actually works (and what doesn't):

4 Non-Obvious Insights:

1. Time Overlap > Total Hours
❌ 24/7 coverage sounds efficient
✅ 4 hours of team overlap is crucial
Result: 40% better collaboration

2. Documentation Drives Culture
❌ Casual "ask anything" approach
✅ Required async documentation
Impact: 60% faster onboarding

3. Rituals Beat Tools
❌ Latest collaboration software
✅ Weekly "virtual coffee" pairs
Outcome: 75% better team cohesion

4. Local Leadership Matters
❌ Central management only
✅ Regional tech leads with autonomy
Result: 3x faster decision making

Key Metrics After Implementation:
- 92% team retention
- 30% faster project delivery
- 85% team satisfaction

Most Surprising Learning:
The best remote teams aren't trying to replicate office culture—they're building something new.

For tech leaders starting remote teams:
Begin with 4-hour overlap
Invest in documentation
Build strong rituals
Trust local leadership

What's your biggest remote team challenge? 👇

#RemoteWork #Leadership #Engineering
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