Prompt

[PRODUCT NAME] has been live for a while, and we’ve gathered user feedback and usage data. We’re planning the next version update.

Based on typical user feedback (for example: [mention a couple of feedback themes, e.g., "users want an easier way to share content" or "many requests for a dark mode"]), brainstorm new features or improvements for the next version of the product.

For each suggested feature, include:

• A brief description of the feature.

• Which user feedback or need it addresses.

• Why it would be valuable in the next version (impact on user satisfaction or growth).

Provide a creative but practical list of feature ideas prioritized by their potential impact.

How to Use

1. Usage Instructions: Insert your product’s name and optionally summarize key feedback themes you’ve received. If you have specific feedback data (common complaints, feature requests, user behavior insights), include a few of those as examples in the prompt so the model knows what areas to focus on. This prompt encourages the model to be creative but grounded in real user needs. It works across different language models (GPT-4, Claude, etc.) — just ensure you give enough context. You can prompt it as above, or even feed actual user comments as additional context if the model allows lengthy input.

2. Desired Response Format: The ideal output is a list of feature ideas, either bulleted or numbered. Each item should contain the feature name or short title, followed by a brief explanation (a few sentences) covering the points mentioned (description, which feedback it addresses, and its value). For clarity, you can ask the model to format each idea like: Feature Idea – Description and benefits…. This structured list will help you easily review and consider each proposed feature for your next version.