Top AI Prompts for Crafting Virtual Reality Experiences

Outline 5 unique avatar exterior styles suitable for a futuristic VR social platform, based on the ‘Avatar Concepts 2025’ document.

Use Case: Speeds up avatar design brainstorming by leveraging existing creative assets.

ClickUp Brain Behaviour: Analyzes linked documents to extract style themes and suggests fresh avatar design directions.

Identify popular spatial layouts in VR games priced under $30, referencing North American market research.

Use Case: Guides environment designers with current user preferences and market trends.

ClickUp Brain Behaviour: Aggregates insights from internal reports; Brain Max can supplement with relevant external data when available.

Draft a design brief for a clean, intuitive VR user interface inspired by Zen principles, using Sketch File #8 and previous notes.

Use Case: Ensures alignment between UI designers and developers on design goals.

ClickUp Brain Behaviour: Extracts relevant content from linked files to create a structured and clear design brief.

Summarize motion control system comparisons between Oculus Quest 3 and HTC Vive Pro using the ‘Motion Tech Q2’ document.

Use Case: Supports technical teams in evaluating hardware capabilities without manual data review.

ClickUp Brain Behaviour: Processes tables and text from internal docs to produce a concise comparative summary.

List leading materials used in VR haptic feedback devices, referencing R&D notes and supplier specifications.

Use Case: Assists hardware teams in selecting effective materials for tactile feedback.

ClickUp Brain Behaviour: Scans documents to identify frequently mentioned materials and their performance characteristics.

Generate a detailed checklist for VR headset component validation from the ‘Headset Validation’ document.

Use Case: Simplifies test planning by automating checklist creation.

ClickUp Brain Behaviour: Detects test criteria and formats them into an actionable checklist within tasks or documents.

Summarize 3 emerging gesture control trends in VR interfaces from post-2024 user studies and technology reviews.

Use Case: Keeps interaction designers informed on cutting-edge user input methods.

ClickUp Brain Behaviour: Identifies recurring patterns and insights from linked research materials.

From the ‘Gen Z VR Usage Survey Q1’ document, highlight key preferences for social VR app interfaces.

Use Case: Helps UX teams tailor experiences to younger demographics.

ClickUp Brain Behaviour: Analyzes survey data to extract common themes and user feedback trends.

Write engaging and concise UI text for a VR environment settings menu, using the tone guidelines in ‘ProductTone.pdf’.

Use Case: Accelerates creation of consistent and appealing interface language.

ClickUp Brain Behaviour: References tone documents to propose stylistically aligned copy variations.

Summarize recent changes in VR hardware safety standards and their implications for headset design.

Use Case: Ensures design teams stay compliant with evolving regulations.

ClickUp Brain Behaviour: Synthesizes internal compliance documents; Brain Max can incorporate public updates if available.

Generate guidelines for VR device indicator placements based on India-specific regulations stored in our workspace.

Use Case: Guarantees adherence to local regulatory requirements.

ClickUp Brain Behaviour: Extracts positioning rules and measurement details from internal documents to compile a compliance checklist.

Create a checklist for VR headset impact resistance testing using US safety standards and internal design files.

Use Case: Supports QA teams in verifying device durability.

ClickUp Brain Behaviour: Identifies relevant test criteria from PDFs and organizes tasks by test category.

Compare eco-friendly materials used in VR headset production across leading brands using competitive analysis documents.

Use Case: Informs sustainable design decisions and innovation roadmaps.

ClickUp Brain Behaviour: Summarizes comparative data into clear, digestible formats.

Identify new user experience trends in VR applications since 2023 from internal research and concept reports.

Use Case: Guides R&D teams toward future-focused design strategies.

ClickUp Brain Behaviour: Synthesizes insights from research notes and uploaded studies.

Summarize usability challenges reported by Southeast Asian VR users, covering hardware, interface, and interaction issues.

Use Case: Drives targeted improvements based on localized user input.

ClickUp Brain Behaviour: Extracts and prioritizes feedback from surveys, support tickets, and user reports.

Specify the virtual environment and user interaction

Vague prompts yield broad concepts. Include details like environment type (e.g., “futuristic cityscape” or “medieval castle”), user actions (e.g., “exploration” or “puzzle-solving”), and audience (e.g., “educational VR for kids” or “immersive training for adults”).

Example: “Design a VR escape room scenario set in a haunted mansion for casual gamers.”

Highlight differences between VR mechanics or styles

AI excels at contrasting elements. Use prompts like “compare X vs Y” to evaluate interaction methods, visual styles, or hardware compatibility.

Example: “Compare teleportation versus smooth locomotion for reducing motion sickness in VR.”

Focus on what the VR experience should achieve

Treat your prompt as a goal-driven request. Instead of “Generate VR game ideas,” specify outcomes:

Example: “Develop a VR meditation app that promotes relaxation through nature immersion and guided breathing.”

Guide AI on how to present its suggestions

Need storyboards, interaction flowcharts, asset lists, or user journey maps? Clearly state the format.

Example: “Provide a bullet list of 5 key environmental assets needed for a sci-fi VR adventure, including their purpose.”