I Studied 1,460 Onboarding Flows. Here’s What I Found. (video)

A pattern study by Mobbin, the product-design reference library, surveying ~1,460 onboarding flows across ~986 apps and websites. The video’s frame: conventional wisdom says “keep onboarding short,” but the data doesn’t agree — the average app has 25 onboarding screens, and several of the longest belong to the most successful apps. What separates good onboarding from bad isn’t length — it’s whether the flow brings users to value before friction can compound.

Headline numbers

  • ~1,460 flows / ~986 apps surveyed.
  • 25 onboarding screens is the average.
  • Longest categories: finance, music/health/fitness, education. 7 of the top 10 longest are finance apps.
  • Shortest flows: 3 of the shortest are AI products.
  • 23% of apps personalize during onboarding. Among AI apps, only 7% do — AI products tend to let the product learn from the user instead.
  • 22% of apps throw a paywall during onboarding.
  • Web onboarding is ~21% shorter than iOS — mobile carries extra permission and paywall screens.

The shape of good onboarding

The video proposes a recurring structure:

Sign up → set up your account → hit the aha moment.

The aha moment is where the user actually feels the product’s value. Examples given:

  • Airbnb — making your first booking.
  • Netflix — finding and watching a show.
  • Mobbin — finding a screen or animation you love and saving it to your collection.

See Aha moment for the standalone concept.

Pattern 1 — Sell the outcome, not features

Welcome screens that show what the product does outperform welcome screens that list what the product has.

  • Timo — welcome screen is just the product running on mobile and desktop.
  • Front Butts — opening animation conveys the product without text.
  • Alma — lets users try the core experience before signup. (The video flags this as rare among AI apps.)
  • Superhum — keeps the boring signup screen but adds customer logos as social proof in the side rail. A copy/layout tweak, not a redesign.

Pattern 2 — Human touches

Small, costly-to-fake signals of care from a human team:

  • Oneyear — founders’ note in the onboarding flow with a handwritten signature and a hand-drawn flower.
  • Tinder — acknowledges when your birthday is around the corner.
  • Airbnb — after you successfully list your first space, plays a short congratulations video from the CEO. Not strictly onboarding — it lands at the aha moment.
  • Base Camp — personal note from the CEO after account creation.

The pattern: a brief moment that feels like the product was made by people, with intention.

Pattern 3 — Personalization that earns its keep

Personalization works when the user can see what the answers unlocked.

AppMoveResult
HeadspaceLet users pick multiple goals instead of one (multi-intent)+10% free-trial conversion
Dollar Shave ClubRewrote quiz copy to be more conversational+5% subscriptions
TideTwo questions → recommendations preview → signup prompt(no number cited)
Focus FlightLets users pick map style during onboarding(no number cited)

Headspace’s lesson: users come with more than one pain point. Forcing a single goal misrepresents what the product is for.

Pattern 4 — Show personalized outcomes

Don’t just collect quiz answers — show the user what their answers built.

  • Endos — six questions, then a personalized plan screen. “You haven’t even used the product yet, but it already feels like it’s going to work.”
  • Bite Pal — quiz → personal plan → exact date you’ll hit your goal.
  • Brilliant — homepage populated with courses tailored to your responses immediately after onboarding.
  • Speak (language learning) — “In two months, you’ll be able to communicate while traveling in France.” + a graph showing speaking-faster-than-reading. The pre-screens already had the user speaking, not typing.

Pattern 5 — Paywall placement

22% of apps throw a paywall during onboarding. Four moves the video calls out:

  • Beside — pairs the quiz with a one-time offer (urgency).
  • Timo — full page of social proof immediately before the paywall.
  • Focus Flight — paywall is a one-time-offer styled as a flight ticket; phone vibrates as the ticket “prints.”
  • Grammarly — quiz answers drive tailored pricing recommendations~20% increase in plan upgrades.

The pairing of personalization with a paywall is the recurring shape — the paywall lands after the user has invested in answers and seen what those answers built.

Pattern 6 — Make long onboarding feel short

Some of the longest onboarding flows in the study are the most beloved:

  • Duolingo — ~60 screens before signup. Get started → choose language → it learns about you → first lesson → satisfaction of completing it → then create account.
  • Bumps — animated even on loading and verification screens; nothing feels “boring.”
  • Bite Pal — 61 screens with strong animations, a name-your-virtual-pet-raccoon mechanic, and a pre-paywall “your personal plan is ready” beat.

Length isn’t the variable. Whether the flow has texture and pacing is the variable.

Pattern 7 — Teach in context, not up front

Don’t frontload all the education.

  • Cake Equity — handles dry equity-vesting concepts via tool tips that explain the impact of each step. Users feel guided rather than tested.
  • Real-time password requirements that check off as you type — removes a reason to get stuck.
  • Todo apps — instead of an empty state, show users a populated example with no guided tour, no popups; just a nudge in the right place.
  • Mural — replaced popups and banners with a clear six-step checklist+10% one-week retention. Checklists persist after the initial flow is dismissed.

Pattern 8 — Custom screen before the OS notification prompt

A “primer” screen before the iOS notification permission popup. The video claims this improves accept rates significantly.

  • Brilliant“I’ll remind you to learn so it becomes a long-term habit.”
  • Center — goes one step further: previews the actual notification you’d receive if you allow.

This is one of the things web apps simply don’t have to deal with — partially explaining the 21% length gap with iOS.

Pattern 9 — Split the signup form across screens

  • House split a single signup form across multiple screens → +15% conversions.

The video’s framing: friction added in one place can remove friction elsewhere. Many small steps can feel lighter than one long form.

Cultural variation

Users in eastern markets tend to be more comfortable with information-heavy interfaces. So what feels like clutter to one audience feels efficient to another.

Implication: best-in-class is locale-dependent. We can’t just copy what worked.

The closing pivot — do you even need onboarding?

The video ends by undermining its own framing:

Mobbin is a place to find design inspiration. The product speaks for itself. Same with AI chat apps. The first prompt is where users find value. For products like these, maybe the best experience is just to let users get in fast.

The conclusion isn’t a recipe but a diagnostic question: does your product reveal value quickly on its own? If yes, onboarding is mostly a tax. If no, the onboarding flow has to do that work — and the patterns above are how the best ones do it.

Notable A/B-test numbers (compiled)

ChangeReported delta
Headspace multi-intent goals+10% trial conversion
Dollar Shave Club conversational quiz copy+5% subscriptions
Grammarly tailored pricing from quiz~+20% plan upgrades
Mural popups → six-step checklist+10% week-1 retention
House signup form split across screens+15% conversions

Connections to other wiki pages

  • Social proof — Superhum’s logo strip and Timo’s pre-paywall page are direct applications.
  • Scarcity principle — Beside and Focus Flight’s one-time offers stack scarcity onto the post-personalization paywall.
  • Aha moment — defined here for the first time in the wiki.
  • Onboarding flow — the meta-concept this source establishes.

Notable apps mentioned (not promoted to entity pages)

Single-source mentions; flagged here for future cross-reference:

Mobbin, Timo, Front Butts, Alma, Superhum, Oneyear, Tinder, Airbnb, Base Camp, Tide, Headspace, Dollar Shave Club, Focus Flight, Endos, Bite Pal, Brilliant, Speak, Beside, Grammarly, Duolingo, Bumps, Cake Equity, Mural, Center, House, Netflix.

Sources