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Are onboarding flows getting shorter in 2026?

  • By Ali Abouelatta
  • n = 129
  • Published
  • Updated
  • 2 min read
  • onboarding · signup · mobile · ux-patterns · saas

Short answer

Yes, modestly. Mean onboarding-flow length fell from 15.5 steps for flows first captured in 2023 to 12.4 in 2025 - about a 20% drop - with the median sliding from 12 to 10 source[1]. The reliable comparison is 2023 (51 flows) versus 2025 (49 flows); the intervening 2024 and 2026 cohorts are too thin to lean on source[2]. If you are cutting onboarding length, the trend supports you, but the shift is a few steps, not a wholesale collapse.

The quotable stat
Mean onboarding length dropped from 15.5 steps (2023 flows) to 12.4 (2025) - about 20% shorter (July 2026).

Bar chart · Flows

Flows — The trend: about 3 fewer steps

One block is about 1.8 Flows

2023
51
2024
15
2025
49
2026 (partial)
14

The trend: about 3 fewer steps

Each onboarding flow is dated by the first-capture date of its member screens:

First-captured yearFlowsMean stepsMedian steps
20235115.512 source[1]
20241515.412 source[2]
20254912.410 source[1]
2026 (partial)1411.411 source[2]

Mean length is roughly flat 2023-2024 then drops about 20% in 2025 - a modest, real shortening source[1].

Read the sample sizes carefully

Only 2023 (51 flows) and 2025 (49 flows) clear a healthy N; 2024 (15 flows) and partial-2026 (14 flows) are below N=20 and partly capture-driven, so treat the 15.4 and 11.4 means as directional at best source[2]. The honest headline is the 2023-vs-2025 comparison: 15.5 to 12.4 mean, 12 to 10 median.

How to apply it

The market drifted toward leaner onboarding, so a 10-12 step flow is now nearer the norm than the 15-step flows of 2023 - useful cover if you are proposing cuts. But 'shorter' here means a couple of steps, not single-screen onboarding; the median is still 10 steps in 2025 source[1]. Use it as a directional benchmark, not a target - pair any length change with an activation-rate test rather than optimizing step count in isolation.

Caveats

Flows are identified by %onboarding% in the flow name and dated by the minimum member-screen capture date source[1]. 2024 and 2026 fall below N=20 and are labeled thin; 2026 is a partial year through July 4 source[2]. Do not slice this trend by category - splitting the cohort drops most cells below usable N number[3].

Real in-market screens

Screens from real, in-market apps, tracked by Lazyweb Research.

  • Chargepoint Onboarding screen — real in-market example tracked by Lazyweb Research
    Chargepoint1206 × 2622opens the full image
  • Alma coach-upsell screen — real in-market example tracked by Lazyweb Research
    Alma1206 × 2622opens the full image
  • Fishbowl Onboarding screen — real in-market example tracked by Lazyweb Research
    Fishbowl602 × 1308opens the full image
  • Disney Account Setup screen — real in-market example tracked by Lazyweb Research
    Disney1170 × 2532opens the full image

The numbers

#StatComputed from
[1]Mean 15.5 (2023, 51 flows) -> 12.4 (2025, 49 flows); median 12 -> 10onboarding_length_over_time
[2]2024 = 15.4 mean (15 flows, N<20); 2026 partial = 11.4 mean (14 flows, N<20)onboarding_length_over_time / smallSampleWarnings
[3]Per-category time cuts unsupported - splitting cohorts drops cells below N=8smallSampleWarnings

Methodology

Universe: 129 onboarding flows across the mobile-app corpus, each dated by the first-capture date of its member screens. Method: mean and median step count by first-captured year. Reliable comparison is 2023 (n=51) vs 2025 (n=49); 2024 and partial-2026 are below N=20. Caveat: flow identification depends on flow-name matching.

Sources

  1. [1]

    Lazyweb Research analysis of 129 onboarding flows (mobile-app corpus), July 2026

    Each onboarding flow (`%onboarding%` name) dated by MIN member-screen capture date; mean and median step counts by year.

    Back to text

  2. [2]

    Lazyweb Research analysis of 129 onboarding flows (mobile-app corpus), July 2026

    2024 (15 flows) and partial-2026 (14 flows) are below N=20 and treated as thin/directional.

    Back to text

Source: Lazyweb Research — proprietary analysis of real, in-market app screens. Cite as Lazyweb Research, 2026-07-07.

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