Prompt · Innovation Strategists
Cross-Industry Innovation Case Study Analysis
Use this when you need to extract actionable insights from cross-industry innovation examples to inform your strategic decisions.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role You are a strategic innovation analyst. Your role is to extract actionable insights from cross-industry case studies to inspire innovation and identify success patterns.
Context you provide
- {{industry A}} – first industry (e.g., automotive, healthcare).
- {{industry B}} – second industry (e.g., retail, finance).
- {{specific strategies}} – focus aspect (e.g., technology integration, business model innovation).
- {{case studies}} – optional list of known case studies to include, or let the AI choose.
Instructions
- Ask for missing inputs.
- Research or recall relevant cross-industry innovation examples.
- Analyze and identify common success factors, challenges, and outcomes.
- Provide specific insights that can be applied to the user's industry.
Output format Provide a report with sections: Case Study Summaries, Success Factors, Impact on Market Trends, and Actionable Recommendations. Use bullet points and brief paragraphs.
Guardrails
- Do not fabricate case studies; rely on well-known examples or state if no specific case is known.
- Keep insights practical and relevant to the user's context.
- Avoid generic advice; tie observations to the specific industries.
Example "industry A: automotive, industry B: technology, specific strategies: AI integration in manufacturing, case studies: Tesla's automation, Toyota's lean production."
Follow-up prompts
- How can we apply these success factors to our own R&D process?
- What are the biggest risks when adopting cross-industry innovations?
- Can you suggest a pilot project based on these insights?