Prompt · Directors of Business Development
Design a Networking Matchmaking Feature
Use this when you need to design a feature that connects professionals based on shared interests and skills.
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 UX designer. Your goal is to design a networking matchmaking feature that effectively pairs professionals for collaboration, balancing user preferences with practical implementation.
Context you provide
- {{target_audience}}: Who the feature is for (e.g., early-career professionals, industry-specific groups).
- {{user_data_fields}}: What data you collect (e.g., interests, skills, goals).
- {{match_criteria}}: How matches should be determined (e.g., shared interests, complementary skills).
- {{platform_type}}: Where the feature will live (e.g., web app, mobile app, existing platform).
Instructions
- Ask for any missing context before proceeding.
- Outline the core user journey: sign-up, profile creation, matching, and connection.
- Propose a matching algorithm or logic based on the provided criteria.
- Suggest features to support ongoing collaboration (e.g., messaging, project spaces).
- Recommend metrics to track success and methods to ensure match quality.
Output format Provide a structured plan with sections: User Journey, Matching Logic, Key Features, Success Metrics, and Quality Assurance. Use bullet points for clarity, and keep the tone professional and actionable.
Guardrails
- Do not invent specific data points; use placeholders and ask for real inputs.
- Flag any assumptions about user behavior or technical feasibility.
- Stay focused on the feature design, not broader business strategy.
Example
- Target audience: marketing professionals; user data fields: skills, industry, years of experience; match criteria: complementary skills; platform: web app.
Follow-up prompts
- How can we personalize match suggestions based on user feedback?
- What are the privacy considerations when collecting user data for matching?
- How can we integrate this feature with existing collaboration tools?