Notion Lacks List View and Broken AI Copy-Paste
Notion users managing large note collections find only a bulky square/grid view with no compact list option, requiring excessive scrolling. Copy-pasting from AI Overview results drops hyperlinks. These UX gaps affect productivity for power users with hundreds of notes.
Signal
Visibility
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Similar Problems
surfaced semanticallyNotion lacks fullscreen mode and has intrusive sticky UI bars
Users want a distraction-free fullscreen writing mode in Notion. The persistent sticky title bar and AI query bar consume screen real estate and disrupt focus. This is a UI customization gap affecting focused note-takers.
Notion blank-canvas flexibility overwhelms new users without guided onboarding
New Notion users encounter an open-ended interface with minimal structure, making it difficult to get productive without significant self-directed learning. The lack of opinionated onboarding paths slows adoption.
Notion forces image resizing and text spacing with no user override
Notion automatically resizes imported images and applies mandatory word spacing in desktop views with no option to disable either behavior. Users building visual notes or bulletin boards find their layouts broken by opinionated formatting defaults. The lack of a simple toggle for these behaviors frustrates power users who need precise layout control.
ClickUp lacks a way to organize and filter items by category
ClickUp users find the interface cluttered because all items live in a single undifferentiated view with no built-in way to filter or group by category, such as viewing only upcoming article briefs, forcing users to click into each item individually to find what they need.
Notion AI is expensive and limited; UI has unresolved usability bugs
Notion users face a combination of technical UI bugs (color picker inaccessible via scroll in tables) and expensive, limited AI features that fall short of user expectations. New users also encounter poor onboarding flows that increase the learning curve. These compounding issues affect a large installed base of knowledge workers and teams.
Problem descriptions, scores, analysis, and solution blueprints may be updated as new community data becomes available.