
Unlocking impactful decisions starts with understanding your data deeply.
From gathering raw metrics to analyzing trends and forecasting outcomes, teams face complex challenges turning numbers into clear guidance. AI prompts are revolutionizing this journey.
With ClickUp Brain, teams can now:
Integrated seamlessly into familiar tools like docs, dashboards, and task boards, AI in ClickUp Brain elevates your data from static figures to strategic decisions.
Identify 5 innovative exterior styling options for a compact electric SUV, referencing the ‘Spring 2025 Concept’ document.
ClickUp Brain Behavior: Analyzes design notes and themes from the linked file to propose fresh styling directions.
What are the latest interior design trends for sub-$25K electric vehicles in North America?
ClickUp Brain Behavior: Integrates findings from internal research; Brain Max can supplement with public market data if accessible.
Draft a design brief for a Scandinavian-inspired minimalist dashboard using Sketch File #8 and previous concept annotations.
ClickUp Brain Behavior: Extracts key insights and textual references from linked documents to assemble a detailed brief.
Compare front suspension systems of Tesla Model Y and VW ID.4 using the ‘Suspension Q2’ report.
ClickUp Brain Behavior: Pulls tabular and narrative data from internal sources to deliver a concise comparative summary.
List leading thermal management materials used in high-performance electric vehicles, based on R&D notes and supplier specs.
ClickUp Brain Behavior: Reviews internal documents to identify common materials and their performance characteristics.
Generate a DVP&R-style checklist for steering system components from the ‘Steering System Validation’ document.
ClickUp Brain Behavior: Detects testing criteria and formats them into an organized checklist within a task or document.
Summarize 3 emerging gesture control trends in infotainment user experience from post-2024 research and tech reviews.
ClickUp Brain Behavior: Extracts recurring themes and observations from linked research materials.
From the ‘Gen Z UX Survey Q1’ document, highlight key preferences for automotive app interfaces.
ClickUp Brain Behavior: Analyzes survey data to identify common design themes and user feedback patterns.
Craft engaging and concise UX copy for the eco-mode toggle screen, guided by the tone in ‘ProductTone.pdf’.
ClickUp Brain Behavior: References tone/style guidelines to propose varied interface text options.
Outline major updates in EU 2025 pedestrian safety standards and their implications for fascia design.
ClickUp Brain Behavior: Summarizes internal compliance documents; Brain Max can incorporate public updates if available.
Develop placement and sizing guidelines for EV charging indicators, referencing India-specific compliance documents.
ClickUp Brain Behavior: Extracts positioning rules and measurements from internal files to create a compliance checklist.
Construct a frontal crash-test checklist using US NCAP 2025 PDFs and chassis design resources.
ClickUp Brain Behavior: Identifies test requirements and organizes tasks by impact zones and severity levels.
Compare interior sustainability elements like recycled materials among Tesla, Lucid, and Rivian using competitive analysis reports.
ClickUp Brain Behavior: Synthesizes documented comparisons into a clear, concise format such as tables or briefs.
Identify emerging interior design trends in autonomous vehicles since 2023 from research notes and concept summaries.
ClickUp Brain Behavior: Aggregates insights from internal studies and uploaded reports to highlight key trends.
Summarize primary cabin usability issues from Southeast Asia EV feedback, covering materials, layout, and user interactions.
ClickUp Brain Behavior: Extracts and prioritizes user feedback from surveys, notes, and tagged tickets.
Brain Max Boost: Quickly access historical reports, team feedback, and analytics to guide your next recommendation.

Brain Max Boost: Instantly access historical data trends, comparative metrics, or previous decision rationales across projects.

Teams explore data patterns swiftly, craft targeted recommendations, and bypass analysis paralysis.