Creating Research Interpretation Posts with AI

Research interpretation posts demonstrate your ability to analyze complex studies and extract meaningful insights for your audience. They showcase your expertise in making academic or industry research accessible and actionable.

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 research interpretation post about {RESEARCH_TOPIC} for {TARGET_AUDIENCE}. Write from my perspective as {YOUR_ROLE}.

Structure to include:
1. Research overview:
   - Key findings
   - Methodology highlights
   - Significance to {INDUSTRY}
2. Analysis of {NUMBER} major insights:
   - What was discovered
   - Why it matters
   - Industry implications
   - Practical applications
3. Critical evaluation:
   - Strengths
   - Limitations
   - Context considerations
4. Action steps for {TARGET_AUDIENCE}:
   - How to apply findings
   - Implementation considerations
   - Success metrics

Style: {TONE} and evidence-based
Length: {LENGTH}

Additional context: {EXPERTISE_BACKGROUND}

How to Use This Prompt #

Required Variables #

  • {RESEARCH_TOPIC}: Study or report to analyze
  • {TARGET_AUDIENCE}: Who needs these insights
  • {YOUR_ROLE}: Your professional position
  • {INDUSTRY}: Relevant sector
  • {NUMBER}: Key insights to cover (3-4 recommended)
  • {TONE}: Academic, practical, or strategic
  • {LENGTH}: Recommended 600-800 words
  • {EXPERTISE_BACKGROUND}: Your expertise with this topic

Example Inputs #

{
  RESEARCH_TOPIC: "remote work productivity study",
  TARGET_AUDIENCE: "HR leaders",
  YOUR_ROLE: "Organizational Development Director",
  INDUSTRY: "Enterprise HR",
  NUMBER: "3",
  TONE: "practical and evidence-based",
  LENGTH: "700 words",
  EXPERTISE_BACKGROUND: "15 years in HR, implemented remote policies for 50+ companies"
}

Variations #

Academic Translation Version #

[Base prompt] + Format as an academic translation with:
- Research methodology review
- Statistical significance
- Comparative studies
- Implementation framework
- Future research needs

LinkedIn Research Summary #

[Base prompt] + Structure as a LinkedIn post with:
- Key finding hook
- Methodology credibility
- Practical insights
- Action steps
- Discussion prompt
Maximum 1300 characters

Executive Briefing Version #

[Base prompt] + Format as an executive summary with:
- Business implications
- ROI considerations
- Implementation roadmap
- Resource requirements
- Success metrics

Tips for Best Results #

Do's #

  • Cite key statistics
  • Explain methodology briefly
  • Provide context
  • Include practical applications
  • Address limitations

Don'ts #

  • Avoid oversimplification
  • Don't skip methodology
  • Skip technical jargon
  • Avoid absolutist claims

Example Output #

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

📊 Remote Work Study: The Data We've Been Missing

Just analyzed Stanford's latest remote work productivity study. After implementing remote policies for 50+ companies, here's what HR leaders need to know:

3 Game-Changing Findings:

1. Productivity Paradox
Raw data: 22% productivity increase
Reality check: Only when proper infrastructure exists
Key metric: Digital workflow maturity

2. The Collaboration Curve
First 3 months: 12% communication drop
Months 4-6: 47% improvement
Why? Adaptive behavior patterns emerge

3. Retention Impact
- 35% lower turnover
- 68% cite flexibility as key factor
- $23,000 average savings per retained employee

Implementation Roadmap:
Week 1-4: Digital infrastructure
Week 5-8: Manager training
Week 9+: Phased rollout

HR Leaders: This isn't about location—it's about transformation.

What's your biggest remote work challenge? 👇

#HR #RemoteWork #FutureOfWork
Last updated: