Video summary

I Studied 1,460 Onboarding Flows. Here's What I Found.

Main summary

Key takeaways

Business

Key findings (from 1,460+ analyzed onboarding flows)

  • Onboarding length is commonly “long”: the average app has ~25 onboarding screens (contradicts advice to keep onboarding short).
  • Longest categories: finance, health & fitness, education
    • Notably, ~7 out of 10 of the longest are finance apps.
  • “Short” isn’t always better: apps with the shortest onboarding flows were often AI products, suggesting they can deliver value in the first interaction rather than relying on guided onboarding.
  • Top-performing onboarding follows a value-first pattern: onboarding “feels” short because it quickly drives users to an “aha moment” rather than because it reduces steps.

Winning onboarding pattern: “Sell the outcome” (not the features)

High performers commonly follow a sequence like:

  • Sign up → setup → immediate “aha moment.”

Examples of “aha moments”:

  • Airbnb: first booking
  • Netflix: finding and watching a show
  • Mobbin: finding an inspiring screen/animation and saving it to a collection
  • Timehop: shows the product in action (mobile + desktop) on the welcome screen
  • Runkeeper: animation demonstrates what it does without reading copy
  • Elma: lets users try the core experience before signing up
  • Superhuman: turns a boring sign-up screen into a value pitch + social proof logos
  • Human/founder-led touches: One Year / Tinder / Airbnb / Basecamp
    • e.g., handwritten note, birthday recognition, CEO video after first success, personal CEO note after account creation

Core principle: if onboarding lists features, users don’t feel progress; if onboarding delivers outcomes (or lets users experience the product), users perceive onboarding as shorter—even when it’s long.

Personalization playbook (and AI vs non-AI gap)

  • Personalization adoption: 23% of apps personalize during onboarding
  • AI apps personalization: only 7% personalize upfront
  • Suggested implication: AI products may “learn you” during usage rather than asking many questions during onboarding.

Actionable tactics highlighted:

  • Tide: short flow—download → 2 questions → customize recommendations → prompt sign-up.
  • Headspace (multi-intent onboarding):
    • Let users choose more than one goal (instead of one).
    • Result: +10% free trial conversion
  • Personalized content before signup:
    • Endless onboarding: answers → then shows what your answers unlock (previews success)
    • Byte Pal: answers → builds personal plan → tells you when you’ll hit your goal
    • Brilliant / Speak: personalized course/content + goal forecast
      • Example: “in 2 months” communicates while traveling
    • Grammarly: quiz answers → recommend pricing plan
    • Result: ~+20% plan upgrades

Micro-optimization / UX friction reduction (small changes, big results)

Examples of “small tweaks”:

  • Dollar Shave Club: rewrite quiz copy to be more conversational
    • Result: +5% subscriptions
  • Progress checks in forms: real-time password requirement checks reduce “getting stuck.”
  • Effortless onboarding via guidance instead of lectures:
    • Cake Equity: turns equity/vesting complexity into approachable copy + tooltips guiding each step
  • Replace pop-ups with persistent checklists:
    • Mural: replaced pop-ups/banners with a clear 6-step checklist
    • Result: +10% relative one-week retention

Paywalls and urgency during onboarding (execution specifics)

  • Paywall timing prevalence: ~22% of apps throw a paywall during onboarding
  • Pair personalization + urgency:
    • Timely: quiz + one-time offer to drive urgency
    • Timely + social proof: social proof before the paywall
    • Focus Flight: paywall packaged as a delightful “flight ticket” offer
    • Grammarly: onboarding quiz informs tailored pricing recommendations (tied to upgrades)

Takeaway: paywalls aren’t automatically “bad”—they can work when earned by value and framed with relevance/urgency.

“Onboarding doesn’t feel long” (experience design, not just step count)

  • Even very long flows can convert if the experience is engaging and value is delivered early.
  • Examples cited:
    • Duolingo: claimed ~60 screens before signup, but it doesn’t feel long because:
      • choose language → app “learns about you” → start lesson → satisfaction → then sign up
    • Bump: creative onboarding with surprising loading/verification animations
    • Bipul: 61 screens using animations + gamified engagement (naming a virtual pet) + strong emphasis on outcomes; paywall appears after users feel progress

Retention habit-building via notification permission patterns

  • Pattern: show a custom screen before the notification permission pop-up to increase accept rates.
    • Brilliant: explains the reminder context (“learn so it becomes a long-term habit”)
    • Center: teases the notification content you’ll receive
  • Timing observation: web onboarding is ~21% shorter than iOS, partly because mobile has more permission/paywall screens baked in.

Conversion tactics: split forms and localization considerations

  • House split signup into multiple screens: +15% increase in conversions
  • Localization/cultural fit matters:
    • Eastern market users may be more comfortable with information-heavy interfaces; what feels like clutter elsewhere can feel efficient to different audiences.
  • Conclusion: don’t copy-paste designs blindly—validate per segment.

“Do we even need onboarding?” (product-led alternatives)

Some products may not need traditional onboarding if the product delivers value immediately, such as:

  • Mobbin: inspiration as the product itself
  • AI chat apps: the first prompt is where users get value

High-level recommendation: if core value is instantly accessible, the best onboarding may be getting users in fast rather than building a separate onboarding ritual.

Frameworks / playbooks implied by the video

  • Aha-moment funnel (sequence optimization): Sign up → setup → first value interaction → then account/monetization

  • Outcome selling vs feature listing: Replace “here’s what we do” with “here’s what you’ll achieve”

  • Personalization during onboarding: Multi-intent inputs → tailored recommendations/pricing/content/plan forecast

  • Guided progress & friction removal: Tooltips, reassurance copy, real-time form validation, persistent checklists

  • Permission/paywall packaging: Context screens + social proof + delight/urgency around the permission or paywall moment

  • Cultural/local UX fit: Design density and guidance style based on audience expectations

Key metrics & KPI references (and where they came from in examples)

  • Average onboarding length: ~25 screens
  • Personalization during onboarding: 23% of apps
  • Personalization for AI apps: 7%
  • Free trial conversion improvement: Headspace +10%
  • Subscription improvement: Dollar Shave Club +5%
  • Plan upgrades improvement: Grammarly ~+20%
  • Retention improvement: Mural +10% relative one-week retention
  • Paywall during onboarding: 22% of apps
  • Web vs iOS onboarding length: web onboarding ~21% shorter
  • Signup conversion improvement: House +15%
  • Onboarding screen extremes:
    • Duolingo claimed ~60 screens before signup
    • Bipul 61 screens
  • Example timeline forecast: Speak says users can communicate “in 2 months”

Concrete takeaways / actionable recommendations

  • Reframe onboarding as an outcome generator: design the flow so users experience results quickly (not just read instructions).
  • Aim for “aha moment before bureaucracy”: let users reach value (try/see/save/complete a first action) before pushing deeper signup steps.
  • Use personalization where it matters: multi-intent choices, tailored plans, and tailored pricing can move conversion and upgrades.
  • Replace disruptive UI (pop-ups) with persistent guidance: checklists and stable progress indicators improve retention even after dismissal.
  • Instrument permission/paywall moments: add context screens explaining the benefit and teasing what users will receive; test paywall framing and timing.
  • Reduce form friction experimentally: split long forms into steps; use real-time validation; ensure fields clearly communicate progress.
  • Localize by audience expectations: match information density and interface style to regional user preferences.

Presenters / sources

  • Presenter: Not named in the subtitles (speaker discussing onboarding research and citing app examples)
  • Source/tool mentioned: Mobbin (used as inspiration and dataset context)
  • Video references/examples: Airbnb, Netflix, Mobbin, Timehop, Runkeeper, Elma, Superhuman, One Year, Tinder, Basecamp, Tide, Headspace, Focus Flight, Dollar Shave Club, Endless, Byte Pal, Brilliant, Speak, Timely, Grammarly, Duolingo, Bump, Bipul, Cake Equity, To-do apps (generic), Mural, Center, House

Original video