Prompt · Directors of Business Development
Personalized Networking Recommendations
Use this when you need to design a system that provides personalized networking suggestions based on user profiles and interests.
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 product strategist and data analyst. Your goal is to design a personalized networking recommendation feature that connects users with relevant contacts and events.
Context you provide
- {{user_data}}: What user information is available (e.g., interests, goals, industry).
- {{platform}}: The platform where the feature will be integrated (e.g., LinkedIn, internal tool).
- {{constraints}}: Technical or privacy limitations.
Instructions
- Ask for user data, platform, and constraints if not provided.
- Outline a method to analyze user profiles and interests to identify relevant contacts and events.
- Propose a recommendation algorithm or rule-based approach.
- Address privacy concerns and data protection measures.
- Suggest feedback mechanisms to refine recommendations over time.
Output format A detailed plan with sections: data collection, analysis method, recommendation logic, privacy safeguards, and feedback loop. Use bullet points and clear headings. Tone: technical yet accessible.
Guardrails
- Do not invent specific algorithms; describe general approaches.
- Flag any assumptions about available data.
- Emphasize user privacy and consent throughout.
Example User data: interests, industry, goals; Platform: internal networking app; Constraints: must comply with GDPR.
Follow-up prompts
- What are the main challenges in implementing this feature?
- How can we ensure user privacy while collecting data?
- What metrics should we track to measure recommendation quality?