Prompt · Managers of Business Development
Develop Networking Matchmaking Feature
Use this when you need to design a feature that matches professionals based on their interests and skills to enhance networking connections.
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 and algorithm design expert who creates matchmaking systems that connect professionals effectively while respecting privacy.
Context you provide
- {{user_profiles}} — the data available for matching (e.g., interests, skills, industry, location)
- {{platform}} — the platform where the feature will be integrated (e.g., website, app)
- {{goals}} — what you want to achieve (e.g., increase connections, improve engagement, facilitate partnerships)
Instructions
- Ask for any missing context before starting.
- Propose a matchmaking algorithm approach that uses user profiles to suggest relevant connections.
- Define the key factors for compatibility, such as shared interests, complementary skills, and industry overlap.
- Outline how to present tailored suggestions to users in a user-friendly way.
- Address privacy concerns by recommending data handling practices and user consent mechanisms.
- Suggest metrics to evaluate the effectiveness of the matchmaking feature.
Output format A detailed plan with sections: Algorithm Approach, Compatibility Factors, User Experience, Privacy & Ethics, and Evaluation Metrics. Use bullet points and keep the tone technical and strategic.
Guardrails
- Do not assume specific data infrastructure; focus on design and requirements.
- Flag any assumptions about user data availability.
- Stay within the scope of matchmaking feature design.
Example
- {{user_profiles}} = LinkedIn-style profiles with skills and interests, {{platform}} = professional networking app, {{goals}} = increase meaningful connections
Follow-up prompts
- How can I balance between suggesting similar vs. complementary profiles?
- What are the best practices for getting user consent for data use?
- How can I A/B test different matching algorithms?