What questions do apps ask in an onboarding quiz before the paywall?

Among 119 quiz apps, the two most common question types tie at 24 apps each — a goal/objective question and a demographic question (age, gender, weight, height) — followed by habit/frequency questions at 23 apps.[1][2][3] Interest/topic questions are rarer at 6, though that is a lower bound.[4] Lead with a goal question, then layer demographics and habits that feed a real personalized plan.

Goal and demographic questions each appear in 24 of 119 quiz apps; habit questions in 23 — Lazyweb Research, July 2026.

Lazyweb Research · n=119 · Published 2026-07-07

onboardingsignuppaywallux-patternsmonetization

The question-type mix

Question typeQuiz apps
Goal / objective24 of 119[1]
Demographic (age, gender, weight, height, DOB)24 of 119[2]
Habit / frequency / experience23 of 119[3]
Interest / topic (lower bound)6 of 119[4]

Goal, demographic, and habit questions cluster tightly at 23-24 apps each, so a well-formed quiz usually touches all three. Interest questions read as rare, but the methodology flags this as an undercount because interest-selection screens are often described without quiz phrasing.[4]

How to apply it

Sequence matters. A goal question up front frames why the rest of the quiz exists and gives the user a payoff to work toward — boldvoice asks 'Why are you starting now?' with a video prompt and motivation options; copilot asks the main goal for invested money.[5] Then collect demographics and habits only where they change the plan. betterme's habit questionnaire on daily energy levels is a good template for a habit question that clearly feeds personalization.[6]

If a question doesn't map to a goal, demographic, or habit that drives your plan, it probably shouldn't be in the quiz.

Caveats

Each count is deduped by company from vision descriptions and is a lower bound — a screen only counts when the vision text names the question type.[1] Interest questions especially undercount; cross-reference interest-selection prevalence separately.[4] The 24/24/23 clustering is the reliable signal; the interest figure of 6 is directional only.

The numbers

StatComputed from
24 quiz apps ask a goal/objective questionquestion_type_goal: 24 / 119
24 quiz apps ask a demographic questionquestion_type_demographic: 24 / 119
23 quiz apps ask a habit/frequency/experience questionquestion_type_habit: 23 / 119
6 quiz apps ask an interest/topic question (lower bound)question_type_interest: 6 / 119
boldvoice 'Why are you starting now?'; copilot main-goal questionqualitative boldvoice; qualitative copilot
betterme daily-energy habit questionnairequalitative betterme
Methodology. Universe: 119 quiz apps in the Lazyweb vision corpus. Method: per-type regex over vision_description, deduped by company, July 2026. Caveat: each count is a lower bound (a type counts only when the vision text names it); interest questions undercount most.

Sources & citations

  1. [1] Lazyweb Research analysis of 119 apps (Lazyweb onboarding-quiz corpus), July 2026. 24 quiz apps ask a goal/objective question; deduped by company, lower bound.
  2. [2] Lazyweb Research analysis of 119 apps (Lazyweb onboarding-quiz corpus), July 2026. 24 quiz apps ask a demographic question (age, gender, weight, height, DOB).
  3. [3] Lazyweb Research analysis of 119 apps (Lazyweb onboarding-quiz corpus), July 2026. 23 quiz apps ask a habit/frequency/experience question.
  4. [4] Lazyweb Research analysis of 119 apps (Lazyweb onboarding-quiz corpus), July 2026. 6 quiz apps ask an interest/topic question; flagged as an undercount because interest screens often lack quiz phrasing.
  5. [5] Lazyweb Research analysis of 119 apps (Lazyweb onboarding-quiz corpus), July 2026. boldvoice goal video prompt; copilot investment main-goal question.
  6. [6] Lazyweb Research analysis of 119 apps (Lazyweb onboarding-quiz corpus), July 2026. betterme daily-energy-level habit questionnaire.

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

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