Most product analytics work with thousands of data points. User interviews might cover dozens. Surveys might reach hundreds. Ladder works with millions.
Five products in the Ladder Top 100 have datasets exceeding one million real user signals each. Combined, they represent over 25 million data points across 3,000+ online sources.
At this scale, Ladder doesn't just measure whether users are happy. It maps the terrain of how millions of people actually experience software.
The five million-plus products
Discord: 6.6 million data points
Screen 2.8 / Sentiment 3.4 / Gap: +0.6
The largest dataset in the Top 100 produces one of the most interesting signals. Discord's interface is widely criticized: settings complexity, channel overwhelm, permission confusion. But 6.6 million data points reveal that community attachment overrides interface frustration. Ladder found that Discord users segment into two populations: newcomers (who rate it poorly) and embedded community members (who rate it essential). The average masks a bimodal distribution. New user experience and power user experience are essentially different products.
Robinhood: 5.3 million data points
Screen 3.1 / Sentiment 2.4 / Gap: -0.7
Robinhood simplified stock trading for a generation. The interface is clean, approachable, and deliberately stripped of the complexity that traditional brokerages use. Screen Score: 3.1. But 5.3 million data points paint a more complicated picture. Ladder identified three dominant negative themes: limited customer support (overwhelmingly the top complaint), the "gamification" controversy (confetti on trades, simplified risk presentation), and platform outages during high-volatility events. The simplified interface that earns a 3.1 Screen Score is the same simplification that users describe as "patronizing" when real money is on the line.
Spotify: 5 million data points
Screen 3.5 / Sentiment 2.8 / Gap: -0.7
Five million data points make Spotify one of the most thoroughly measured products on the planet. Ladder found that the discovery experience (Discover Weekly, Release Radar, Daily Mix) remains Spotify's strongest signal. But three themes drag the Ladder Top 100 score down: podcast integration that users didn't ask for, library management that's been neglected for years, and a free tier experience that's increasingly hostile (more ads, more interruptions, more nudges to upgrade). The premium experience scores higher than the free experience by a significant margin. Ladder reflects the blended reality.
Twitch: 5.3 million data points
Screen 2.6 / Sentiment 2.1 / Gap: -0.5
The lowest Ladder Top 100 score among the million-plus products. 5.3 million data points reveal a platform where the viewer experience is adequate but the creator experience is punishing. Discoverability is broken (new streamers can't grow), monetization is opaque, and platform policies are inconsistently enforced. Ladder found that Twitch's community loyalty comes from individual streamers, not the platform itself. Users are loyal to creators, not to Twitch. That's a fragile foundation.
Canva: 2.1 million data points
Screen 3.3 / Sentiment 3.7 / Gap: +0.4
The only million-plus product with a positive gap. 2.1 million data points reveal that Canva's user base rates the experience higher than the interface suggests. The template-first approach that professional designers critique is exactly what non-designers celebrate. "I made this myself" is the sentiment Ladder detects across hundreds of thousands of reviews. Canva's audience isn't designers. It's everyone else. And everyone else loves it.
What emerges at scale
Across 25 million data points, Ladder surfaced patterns that no screenshot analysis, survey, or user interview could reveal:
1. Bimodal experiences are invisible to Screen Scores.
Discord and Spotify both have user populations with fundamentally different experiences. New vs. embedded. Free vs. premium. The Screen Score measures one interface. The Ladder Top 100 score measures two (or more) realities. When you see a gap, ask: whose experience is Ladder measuring that Screen Score isn't?
2. Platform loyalty is borrowed, not owned.
Twitch users are loyal to streamers, not to Twitch. Discord users are loyal to communities, not to Discord. Ladder detects the difference. When loyalty is borrowed from content creators or community leaders, the platform is one migration away from irrelevance.
3. Simplification has a ceiling.
Robinhood's simplification earned it a clean Screen Score. But at scale, users begin to resent the same simplification they initially loved. Ladder tracked this sentiment shift over time: early reviews are enthusiastic, later reviews describe feeling "talked down to." The interface that attracted users is now repelling power users.
4. Non-expert users rate differently.
Canva's positive gap exists because Ladder captures the voice of non-designers. Screen Score evaluates against professional design standards. Ladder evaluates against human satisfaction. When your audience isn't designers, those are two different things.
The case for Ladder at scale
At small sample sizes, Ladder confirms what you probably already know. At massive scale, it reveals what you can't see any other way. The patterns in 25 million data points are too complex for NPS, too nuanced for star ratings, and too distributed for user interviews.
A Screen Score tells you what the interface looks like today. A Ladder Top 100 score at scale tells you what millions of people actually experience, and where the experience is headed.
Explore the full Top 100 or request a Pulse demo to see what your users are saying at scale.