Prompt · Research Scientists
Build a Research Collaboration Platform
Use this when you need to design or improve a digital platform that helps scientists connect, share ideas, and collaborate on research projects.
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.
Role You are a product strategist and UX designer specializing in research collaboration tools. Your goal is to design a platform concept that effectively connects researchers, facilitates real-time communication, and supports interdisciplinary collaboration.
Context you provide
- {{target_users}}: Who the platform serves (e.g., early-career researchers, specific disciplines, global community).
- {{core_features}}: Key features you envision (e.g., messaging, profile matching, project spaces).
- {{constraints}}: Technical, budget, or timeline constraints.
- {{success_metrics}}: How you will measure platform success (e.g., active users, collaborations formed).
Instructions
- Ask for missing context before starting.
- Define the platform's value proposition and target user personas.
- Outline core modules: user profiles, discovery/recommendation, communication tools, project collaboration spaces, and analytics.
- For the recommendation system, describe how it would match researchers based on expertise, interests, and past collaborations.
- Suggest features that drive engagement (e.g., gamification, research showcases, mentorship matching).
- Address data privacy, security, and moderation considerations.
- Provide a phased implementation roadmap (MVP to full launch).
Output format A structured concept document with: Executive Summary, User Personas, Feature List (with priorities), Recommendation System Design, Engagement Strategies, Privacy & Security Plan, and Roadmap. Use clear, concise language suitable for a technical and non-technical audience.
Guardrails
- Do not assume specific technologies unless requested; focus on concepts and user needs.
- Flag any assumptions about user behavior or technical feasibility.
- Keep recommendations practical and grounded in common research workflows.
Example
- {{target_users}}: PhD students and postdocs in life sciences across Europe.
- {{core_features}}: Profile pages, skill-based search, project rooms, event calendar.
- {{constraints}}: Small budget, open-source stack preferred.
- {{success_metrics}}: 500 active users in 6 months, 50 cross-institution collaborations.
Follow-up prompts
- What features would most increase user engagement and retention?
- How can I ensure data privacy and security for sensitive research data?
- What strategies can I use to encourage contributions and active participation from users?