When User-Generated Content Breaks Your Clean Interface Design
By: Jeremy (TPM learning that content varies more than you expect)
Here’s a problem every TPM encounters but rarely plans for: What happens when user-generated content doesn’t fit your carefully designed interface?
Building VoiceCatcher, I designed a clean session history interface with consistent spacing and predictable layouts. Then users started creating hour-long voice recordings with 10,000+ character transcripts. Suddenly my “clean interface” became a wall of unreadable text that destroyed the entire user experience.
This is the story of how we went from truncating transcripts at 120 characters (losing critical information) to building an expandable text system that handles any content length gracefully. Because the best interfaces adapt to content, not the other way around.
The Setup: When Perfect Design Meets Real Content
The context: Our history window showed a list of voice sessions with:
- Session timestamp
- Short transcript preview
- Action buttons (play, copy, delete)
I designed this assuming transcripts would be sentence-length snippets—maybe 50-100 characters. The interface looked perfect in mockups.
Then real usage happened:
- Meeting recordings: 45-minute sessions with thousands of words
- Interview transcripts: Hour-long conversations
- Lecture notes: Dense academic content
- Brainstorming sessions: Stream-of-consciousness rambling
My “preview” interface couldn’t handle any of these real-world use cases.
The Problem: Truncation Destroys Content Value
Attempt 1: Fixed Character Truncation
The approach: Limit previews to 120 characters with ”…” ellipsis.
function truncateText(text: string, maxLength: number = 120): string {
return text.length > maxLength ? text.substring(0, maxLength) + '...' : text;
}The result: Useless previews. For a 2,000-word transcript, showing the first 120 characters provided zero value for identifying or finding content.
User feedback: “I can’t tell what any of these sessions are about from the previews.”
Attempt 2: Smart Truncation
The approach: Truncate at sentence boundaries, show first complete sentences.
The problem: Real speech doesn’t follow clean sentence structures. Voice recordings have:
- Long, rambling sentences that go on for paragraphs
- Sentence fragments and interruptions
- Lists and enumeration without clear breaks
- “Um,” “uh,” and filler words that break sentence detection
The realization: Truncation fundamentally conflicts with the value proposition of voice transcription. You’re literally hiding the content users created the tool to capture.
The Solution: Progressive Disclosure for Text Content
The Design Principle
Instead of hiding content, make content exploration feel natural and controlled.
The Implementation: 3-Line Preview System
interface ExpandableTextProps {
text: string;
maxLines?: number;
className?: string;
}
const ExpandableText: React.FC<ExpandableTextProps> = ({
text,
maxLines = 3,
className = ''
}) => {
const [isExpanded, setIsExpanded] = useState(false);
const [showToggle, setShowToggle] = useState(false);
// Check if content exceeds max lines
useEffect(() => {
// ... line height calculation logic
}, [text, maxLines]);
return (
<div className={className}>
<div
className={isExpanded ? 'expanded' : 'collapsed'}
style={{
maxHeight: isExpanded ? 'none' : `${maxLines * 1.5}rem`,
overflow: 'hidden',
transition: 'max-height 0.3s cubic-bezier(0.4, 0, 0.2, 1)'
}}
>
{text}
</div>
{showToggle && (
<button
onClick={() => setIsExpanded(!isExpanded)}
className="show-more-button"
>
{isExpanded ? 'Show less' : 'Show more'}
</button>
)}
</div>
);
};The UX Strategy
- Default view: Show exactly 3 lines of content
- Clear indication: Fade gradient if content continues
- Progressive disclosure: “Show more” reveals full content
- Reversible action: “Show less” returns to preview
- Performance optimization: Only render visible content initially
The TPM Framework: Content-Adaptive Interface Design
1. Design for Content Variance, Not Content Ideals
Never design assuming content will fit your preferred format.
The Content Audit Prompt:
For this interface showing [content type]:
1. What's the shortest realistic content example?
2. What's the longest realistic content example?
3. What's the most complex/irregular content structure?
4. How does content value correlate with content length?
5. What happens to user workflow if we hide/truncate content?2. Progressive Disclosure as Product Strategy
Don’t think of long content as a problem to solve—think of it as an opportunity to provide depth when users want it.
The Progressive Disclosure Prompt:
I have content that varies from [shortest] to [longest] in this interface.
Design a progressive disclosure system that:
1. Provides value in the collapsed state
2. Makes expansion feel natural and reversible
3. Maintains interface cleanliness
4. Performs well with large content
5. Works across different content types3. Performance as UX Constraint
Content expansion systems must feel instant, even with large content.
The Performance Prompt:
I need to display expandable text content up to [max size].
Optimize for:
1. Initial render performance (collapsed state)
2. Expansion animation smoothness
3. Memory usage with multiple expanded items
4. Scroll position preservation
5. Mobile device compatibilityThe Technical Implementation: Performance-First Expansion
CSS-First Approach
.expandable-text {
position: relative;
transition: max-height 0.3s cubic-bezier(0.4, 0, 0.2, 1);
contain: layout style; /* Performance optimization */
}
.expandable-text.collapsed {
max-height: 4.5rem; /* 3 lines at 1.5rem line-height */
overflow: hidden;
}
.expandable-text.collapsed::after {
content: '';
position: absolute;
bottom: 0;
left: 0;
right: 0;
height: 1.5rem;
background: linear-gradient(transparent, var(--background-color));
pointer-events: none;
}
.expandable-text.expanded {
max-height: none;
}Why CSS-First Works
- Performance: Browser-native animations are smoother than JavaScript
- Accessibility: Works with screen readers and keyboard navigation
- Maintenance: Less complex state management
- Reliability: Degrades gracefully if JavaScript fails
Smart Measurement Logic
const useTextMeasurement = (text: string, maxLines: number) => {
const [exceeds, setExceeds] = useState(false);
const measureRef = useRef<HTMLDivElement>(null);
useEffect(() => {
if (!measureRef.current) return;
const element = measureRef.current;
const lineHeight = parseInt(getComputedStyle(element).lineHeight);
const maxHeight = lineHeight * maxLines;
setExceeds(element.scrollHeight > maxHeight);
}, [text, maxLines]);
return { exceeds, measureRef };
};The Business Impact: When Content Drives Adoption
Before: Truncation System
- Users couldn’t identify sessions from previews
- Important content was completely hidden
- History browsing became tedious search process
- Long recordings felt “broken” or “incomplete”
After: Expandable System
- Users could quickly scan session content
- Full transcripts accessible when needed
- History browsing became efficient content navigation
- Long recordings felt like rich, valuable content
The Adoption Metrics
- History engagement: 300% increase in history window usage
- Content discovery: Users found relevant past content faster
- Feature confidence: Users recorded longer sessions knowing content remained accessible
- User satisfaction: Elimination of “lost content” complaints
Advanced: Content-Aware UX Optimizations
Intelligent Default States
const getOptimalPreviewLines = (contentLength: number): number => {
if (contentLength < 200) return 2; // Short content needs less preview
if (contentLength < 1000) return 3; // Medium content gets standard preview
return 4; // Long content gets more preview
};Contextual Show/Hide Behavior
const ExpandableText = ({ text, context }) => {
// In search results: start expanded if text contains search term
// In list view: start collapsed for clean scanning
// In detail view: start expanded for full content consumption
const initialExpanded = context === 'search' && containsSearchTerm(text);
const [isExpanded, setIsExpanded] = useState(initialExpanded);
// ... rest of component
};Performance Optimizations for Scale
// Virtual scrolling for lists with many expandable items
const VirtualizedExpandableList = ({ items }) => {
return (
<VirtualList
height={600}
itemCount={items.length}
itemSize={getItemSize} // Dynamic sizing based on expansion state
itemData={items}
>
{({ index, style, data }) => (
<div style={style}>
<ExpandableText
text={data[index].transcript}
// Only fully render if in viewport
lazy={!isInViewport(index)}
/>
</div>
)}
</VirtualList>
);
};The Psychology: Why Truncation Breaks User Trust
Cognitive Completeness Expectation
Users expect to access the full value of content they created. Truncation signals that the system is hiding something they own.
VoiceCatcher example: When users recorded 30-minute meetings, seeing only “Well, I think we should…” in the preview created anxiety that content was lost or incomplete.
Progressive Disclosure Reduces Cognitive Load
Paradox: Showing users they can access more content actually makes interfaces feel cleaner than hiding content entirely.
User feedback: “I like that I can see there’s more content without having to see all of it at once.”
Control Increases Perceived Value
Users value content more when they control how much they see. The ability to expand/collapse makes content feel actively curated rather than accidentally truncated.
Common TPM Content Display Mistakes (That I Made)
Mistake 1: Designing for Ideal Content
Wrong thinking: “Users will create short, well-formatted content.” Reality: Real content is messy, long, and unpredictable.
Fix: Design for the worst-case content first, then optimize for typical content.
Mistake 2: Treating Content Length as UI Problem
Wrong thinking: “Long content breaks our design, so we’ll limit it.” Reality: Long content often represents high user engagement and value.
Fix: Build interfaces that scale with content value, not against it.
Mistake 3: Hidden Truncation Logic
Wrong thinking: “Users won’t notice smart truncation.” Reality: Users always notice when content is missing, even if they can’t articulate why.
Fix: Make content limitation explicit and user-controlled.
Mistake 4: Performance vs. UX False Choice
Wrong thinking: “We can’t show long content because it will be slow.” Reality: Users will wait for content they want, but won’t wait for content they don’t need.
Fix: Use progressive loading and smart defaults to optimize for typical usage while supporting edge cases.
Advanced: The Content-First Design Philosophy
Content Drives Layout, Not Vice Versa
Instead of forcing content into predetermined layouts, build layouts that adapt to content characteristics.
const adaptiveLayout = {
short: 'single-line', // < 50 chars
medium: 'multi-line', // 50-500 chars
long: 'expandable', // 500-2000 chars
document: 'modal-view', // > 2000 chars
};Value-Based Progressive Disclosure
Show content based on user value, not just character count.
const getPreviewStrategy = (content: TranscriptContent) => {
const { length, keywords, searchMatch, userInteraction } = content;
// High-value content gets more preview space
if (searchMatch || keywords.length > 3) return 'expanded-preview';
if (userInteraction.recent) return 'standard-preview';
return 'minimal-preview';
};Accessibility-First Expansion
const ExpandableText = ({ text, ...props }) => {
return (
<div>
<div
id={`content-${id}`}
aria-expanded={isExpanded}
role="region"
aria-label={`Transcript content, ${isExpanded ? 'expanded' : 'collapsed'}`}
>
{text}
</div>
<button
aria-controls={`content-${id}`}
aria-expanded={isExpanded}
onClick={() => setIsExpanded(!isExpanded)}
>
{isExpanded ? 'Show less content' : 'Show full transcript'}
</button>
</div>
);
};The Prompts That Enable Content-Adaptive Design
Content Variance Analysis Prompt
I'm building [interface] that displays [content type].
Analyze content variance:
1. Minimum/maximum realistic content length
2. Typical content structure and patterns
3. High-value vs. low-value content characteristics
4. User scanning vs. deep-reading scenarios
5. Performance constraints at scale
Design a display system that adapts to this variance.Progressive Disclosure Strategy Prompt
Create a progressive disclosure system for [content type] with these requirements:
- Preview provides genuine value for content assessment
- Expansion feels natural and reversible
- Performance remains smooth with [max content size]
- Design maintains visual consistency across content lengths
- Accessibility support for all interaction modes
Include CSS, interaction patterns, and performance optimizations.Performance Optimization Prompt
I have expandable text content that can be up to [size] with [number] items on screen.
Optimize for:
1. Smooth expansion animations
2. Memory efficiency with multiple expanded items
3. Scroll position preservation during expansion
4. Mobile device performance
5. Screen reader compatibility
Provide implementation strategies and measurement approaches.Lessons Learned: Content as Product Feature
Long Content Indicates High User Engagement
Users who create lengthy content are power users who get significant value from your product. Optimizing for them often improves the experience for everyone.
Metric discovery: Sessions with 1000+ character transcripts had 5x higher user retention than short sessions.
Progressive Disclosure Increases Overall Engagement
When users can control content depth, they explore more content overall.
Before: Users looked at 2-3 history items on average After: Users looked at 8-10 history items, expanding 40% of them
Performance Investment Enables Product Differentiation
Smooth handling of long content became a competitive advantage—other voice tools either truncate aggressively or perform poorly with substantial content.
The Meta-Lesson: Design for Content Reality, Not Content Ideals
The biggest insight from building VoiceCatcher’s expandable text system: User-generated content will always exceed your design assumptions.
The question isn’t “How do we make content fit our interface?” but “How do we make our interface valuable regardless of content characteristics?”
Our expandable text system didn’t just solve a UI problem—it enabled users to create longer, more valuable content because they knew it would remain accessible and organized.
Practical Implementation for TPMs
Content Audit Before Design
Before designing any content display interface, spend time with real content examples. Especially the extreme cases.
Build for Content Growth
Assume content length and complexity will increase over time as users become more engaged with your product.
Performance as Product Quality
Smooth content interaction isn’t a technical nice-to-have—it’s a product quality indicator that affects user perception.
Measure Content Engagement
Track how users interact with content at different lengths. This data informs future interface decisions.
The Bottom Line
The best content interfaces don’t constrain content—they make any amount of content feel manageable and valuable.
VoiceCatcher’s expandable text system transformed hour-long transcripts from “overwhelming walls of text” into “rich content I can navigate efficiently.” The system didn’t just display content—it made content feel valuable and organized.
As TPMs, we need to recognize that content display choices directly affect how much value users extract from our products. Content-adaptive interfaces don’t just look better—they enable users to create and consume more value.
The expandable text system became one of our most praised features not because it was technically complex, but because it respected the content users created while maintaining interface usability.
That’s the difference between displaying content and enabling content value.
Jeremy is a technical product manager turned solo developer, building VoiceCatcher as a local-first voice transcription tool. Follow the journey at [project repo] or connect on [social links].
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