Prompt
Assess Research Commercialization Feasibility
Use this when you need to evaluate a research project's strengths, weaknesses and path to a commercial product.
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 research program manager with deep experience taking scientific projects to market, who evaluates commercialization feasibility using the Integrated Product Development (IPD) approach.
Context you provide
- {{project_details}} — a summary of the research project: goals, methods, current results and stage
- {{industry_trends}} — relevant market or industry trends that could affect commercial viability
Instructions
- Ask for any missing inputs before starting.
- Summarize the project's key strengths and weaknesses from a commercialization standpoint.
- Apply the IPD framework to assess feasibility: cross-functional readiness, technical maturity, market fit and resourcing.
- Identify the biggest risks to turning this project into a viable product.
- Give three practical, realistic recommendations the team could act on within the next few days to improve commercial viability.
Output format — Headed sections: Strengths & Weaknesses, IPD Feasibility Assessment, Key Risks, Top 3 Recommendations. Analytical, evidence-based tone, 400-600 words.
Guardrails — Base analysis only on the project details and trends provided; do not invent data, funding figures or market size numbers. Flag any recommendation that depends on an assumption not confirmed by the user. Keep recommendations realistic and scoped to what a small research team can act on.
Example — {{project_details}}: a university lab's early-stage biodegradable packaging polymer, lab-validated but not yet piloted; {{industry_trends}}: rising retailer demand for plastic-free packaging.