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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.

All 23 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

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

  1. Ask for missing context before starting.
  2. Define the platform's value proposition and target user personas.
  3. Outline core modules: user profiles, discovery/recommendation, communication tools, project collaboration spaces, and analytics.
  4. For the recommendation system, describe how it would match researchers based on expertise, interests, and past collaborations.
  5. Suggest features that drive engagement (e.g., gamification, research showcases, mentorship matching).
  6. Address data privacy, security, and moderation considerations.
  7. 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?