---
title: Long or short onboarding before the paywall? (avoid the middle)
slug: onboarding-length-long-vs-short
summary: Sesame's GLP-1 intake went from 3 to ~25 steps and conversion rose 40% (step-to-step >99%), while Tinder won by cutting dating sign-up to ~90 seconds — pick long or short based on the aha moment and decision stakes, never a "balanced" middle; remove negative-psych steps like password creation.
domain: mobile-apps
tags: [monetization, onboarding, conversion, checkout, psychology]
related: [paywall-in-onboarding, three-screen-pre-paywall-sequence, paywall-before-signup, removing-the-free-trial, web-quiz-funnel-length]
sources: [yt:AWI3rofh0BA, yt:gqN6Z5WAeiI]
updated: 2026-10-24
---

# Long or short onboarding?

## TL;DR
- **Long can win:** Sesame's weight-loss (GLP-1) checkout went from 3 screens to ~20–25 questions → **+40% conversion**, step-to-step completion **>99%**.
- **Short can win:** Tinder cut dating sign-up from 20–30 minutes (Match/eHarmony questionnaires) to **~1.5–2 minutes** (Facebook login, Facebook photos, short bio) — and expanded the whole online-dating market.
- Decide by the **aha moment** and the **stakes of the decision**: high-consequence choices (medication, travel) need information and confidence; low-stakes ones need speed to value.
- **Avoid the middle** — a "balanced" medium onboarding is the death zone (Jacob Eiting).
- Manage **psych** (Darius Contractor's framework): each value moment adds motivation; email fields (−5), card entry (−10) and especially **password creation** subtract it. Use OTP, Sign in with Apple/Google.
- A long onboarding can be any length if it **delivers value as it goes** (Calm plays rain sounds from the first second); an IRS-form onboarding bores users out.

## Details
**Sesame.** A direct doctor–patient cash marketplace; its Costco weight-loss programme used a 3-screen checkout. V2 expanded intake to ~20 questions: estimated weight loss, medical history, motivation, what you've tried. Users gained confidence the care was comprehensive (not a "pill mill"), conversion rose ~40% and per-question continuation exceeded 99%. It also freed doctor time in the visit — the actual aha moment.[^1][^2][^3]

**Tinder.** The aha moment is being in a conversation with someone, so shorten the path there: Facebook login, pick Facebook photos, Twitter-like bio — swiping in ~1.5–2 minutes instead of a 20-minute profile; younger people who'd never tried online dating came in.[^4][^5]

**Pick a side.** Jacob: GLP-1 injections are complex and risky; judging attractiveness needs no explanation — commit hard to long or short.[^6] Ravi Mehta: ask what the aha moment is and what confidence and behaviour the user needs to get there.[^7]

**Confidence can be undermined by framing.** At TripAdvisor, a personalised hotel ranking converted better when silent, but worse once labelled "Just for you" — travellers didn't want the site deciding for them.[^8]

**Psych framework.** Users can be "psyched up" or down; password creation is one of the biggest negative-psych moments — phone OTP or social login fixes it.[^9][^10] With onboarding before a hard paywall, you must manufacture aha moments before the user has used the product; Calm delivers its promise (rain sounds) from first open, so its onboarding can be long.[^11]

**Counter-example.** Natal deliberately keeps onboarding to ~10–15 questions because mothers lack time, while splitting content by phase (trying to conceive / pregnant / postpartum) to avoid decision fatigue; too many questions frustrated users, too few left them confused in-app.[^12][^13]

## Disagreements / caveats
- Sesame is a medical web checkout, not a typical app paywall; Steve P. Young's and web-quiz sources generally favour long, value-building onboarding — this note adds that short wins when value is instant.
- "Psych points" are a heuristic, not measured values.

## See also
- [[paywall-in-onboarding]]
- [[web-quiz-funnel-length]]
- [[people/ravi-mehta]]

[^1]: yt:AWI3rofh0BA @ 27:59 — David Barnard
[^2]: yt:AWI3rofh0BA @ 29:11 — Ravi Mehta
[^3]: yt:AWI3rofh0BA @ 30:35 — Ravi Mehta
[^4]: yt:AWI3rofh0BA @ 35:23 — Ravi Mehta
[^5]: yt:AWI3rofh0BA @ 36:18 — Ravi Mehta
[^6]: yt:AWI3rofh0BA @ 37:39 — Jacob Eiting
[^7]: yt:AWI3rofh0BA @ 39:13 — Ravi Mehta
[^8]: yt:AWI3rofh0BA @ 37:39 — Ravi Mehta
[^9]: yt:AWI3rofh0BA @ 33:03 — Ravi Mehta
[^10]: yt:AWI3rofh0BA @ 34:34 — Ravi Mehta
[^11]: yt:AWI3rofh0BA @ 41:29 — David Barnard, Ravi Mehta
[^12]: yt:gqN6Z5WAeiI @ 45:55 — Nancy Anderson
[^13]: yt:gqN6Z5WAeiI @ 47:29 — Nancy Anderson