Behavioral Design

Mobbin

Properties2
tagscompany, product, design-library, mobile, ux, saas
aliasesMobbin

4 min read

Mobbin

A mobile and web design-pattern library — a searchable archive of real-world product screens (flows, components, marketing pages) that designers use as a reference when shipping their own work. Mobbin appears in this wiki in two distinct roles: as a publisher of design-research content, and as a subject of someone else’s case study.

As a publisher — the 1,460-flows survey

I Studied 1,460 Onboarding Flows (video) (April 2026) is Mobbin’s own pattern study of ~1,460 onboarding flows across ~986 apps. Headline findings:

  • Average onboarding length: 25 screens (not “short,” as conventional wisdom suggests).
  • 7 of the top 10 longest flows are finance apps.
  • Web onboarding is ~21% shorter than iOS.
  • 23% of apps personalize during onboarding; 22% throw a paywall during onboarding.
  • The diagnostic question for whether you even need onboarding: does your product reveal value quickly on its own? For products like Mobbin itself or AI chat apps, the answer is yes — and onboarding is a tax, not a feature.

This is Mobbin’s research mode — large-N pattern audits from inside their own corpus.

As a publisher — the 859-streaks study

Why Streaks Work (It’s Not Discipline) (video) (May 2026) is Mobbin’s second large-N pattern study to land in this wiki — a survey of 859 streak designs organized as a taxonomy of five engines:

  1. Fear — Loss aversion (urgent copy + countdown + angry mascot)
  2. Optimism — commitment framing (“Continue” → “Commit to my goal”)
  3. Collectibles / milestones — Opal-style tangible artifacts
  4. Attachment — Anthropomorphism / the Tamagotchi effect; Duolingo’s Duo as the canonical case
  5. Visual tension — Zeigarnik effect staged as a visible grid

The video then unifies them under the dopamine substrate (Reward prediction error → Habit loop) and closes with an unusually critical move for a Mobbin study: most evidence for streaks measures engagement, not habit formation, and a real habit-formation study finds the opposite of how streaks are designed.

Specific numerical contributions from this study (all Duolingo A/B):

  • Streak freeze (up to 2 equipped): +0.38% DAU (~200,000 more daily users)
  • Soft daily goal (one lesson vs full goal): +40% more 7-day-streak retention
  • Copy A/B: “Continue” → “Commit to my goal” — “a massive win” (no number disclosed)

The two Mobbin studies in sequence — onboarding flows (1,460 flows, April 2026) and streaks (859 designs, May 2026) — establish a consistent house style: survey a single vertical at scale, extract patterns, undercut at the end. The streaks video pushes the undercut further than the onboarding one did.

As a subject — the “Pro” labels A/B test (+35% free-to-paid)

Copy These SaaS Growth Tricks (video) cites Mobbin as a case study in Loss aversion applied to a freemium paywall. The change was small: Mobbin added “Pro” labels to locked content across the product. Free-to-paid conversion rose 35%.

Tim Gabe’s reading: the “Pro” label turns an invisible absence into a visible, persistent loss signal that shadows the entire product UI — every time the user encounters a labeled item they don’t have, the loss is felt. The lock didn’t change; only the visibility of the lock changed.

This is loss aversion at the product-surface layer, not the offer layer.

Product position

Mobbin’s own value proposition (per the onboarding-flows survey) is finding a screen or animation you love and saving it to your collection — they describe this as their Aha moment. The combination of (a) being a design-library product and (b) publishing their own pattern research is what makes Mobbin show up on both sides of the cite/cited line in this wiki.

  • Tim Gabe — cites Mobbin’s “Pro” labels as a case study
  • Loss aversion — the bias underlying the “Pro” labels lift
  • Onboarding flow — the concept Mobbin’s research established here
  • Aha moment — concept first defined in this wiki via Mobbin’s survey

Sources

Graph View