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Marketing & Growth

Mobile App Store Rating Drivers Study

Identifies what actually pushes users toward 5-star versus 1-star app store reviews — crashes, speed, ads, pricing, support — and what specifically would change their rating. Built for product and growth teams; the AI follow-up reconstructs the real incident behind each respondent's rating instead of generic complaints.

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샘플 질문

템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.

질문 12개 · 약 7분
Q01
메시지

Thanks for taking a moment to share your experience with the app! We want to understand what drives great reviews and what drives bad ones. Your responses are completely confidential and anonymized. About 4-5 minutes, and your honest opinion is exactly what helps.

Q02
객관식필수

In the last 30 days, how often have you used this app?

  • Daily
  • A few times a week
  • Once a week
  • A few times a month
  • Rarely, or this is my first time
Q03
객관식필수

Have you left a star rating or written review for this app in an app store (Apple App Store or Google Play) in the past 6 months?

  • Yes, 5-star
  • Yes, 4-star
  • Yes, 3-star
  • Yes, 2-star or lower
  • No, I haven't rated it
Q04
평점 척도필수

If you were to rate this app in the app store right now, what rating would you give it?

범위: 1 – 5
최소:1 star - very dissatisfied최대:5 stars - extremely satisfied
Q05
매트릭스필수

How much do you agree with each statement about the app?

6개 행 × 5개 열
  • The app is stable and rarely crashes
  • The app loads and responds quickly
  • Ads or upsell prompts feel excessive
  • The price feels fair for what I get
  • Customer support resolves issues well
  • 외 1개
열: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q06
최선·최악 선택형(MaxDiff)필수

Which of these changes would move your rating the most, and which the least?

  • Fewer crashes and bugs
  • Faster performance
  • Fewer or less intrusive ads
  • Better value for the price
  • Faster, more helpful customer support
  • Simpler, more intuitive design
  • More features I actually need
  • Fewer permission or data requests
세트별 최선·최악 선택최선:Would improve my rating the most최악:Would improve my rating the least
Q07
객관식

What, if anything, prompted you to consider leaving an app store rating or review?

  • An in-app pop-up asked me to rate it
  • I had a frustrating experience I wanted to warn others about
  • I had a great experience I wanted to share
  • Customer support asked me to leave a review
  • I wanted to help other users decide
  • I haven't considered leaving a rating
Q08
의견 척도필수

How likely are you to recommend this app to a friend or colleague?

척도: 0 – 10
최소:Not at all likely최대:Extremely likely
Q09
AI 인터뷰

Reconstruct the specific incident behind the respondent's current or most recent rating: what happened, when, and how it made them feel about the app. If they rated it high, find out whether anything almost cost them a star. If they rated it low, dig into whether it was a one-off glitch or a recurring problem, and whether they've actually left that rating publicly or just feel it privately. If they've never rated the app, probe what would need to happen for them to bother.

Q10
장문형

What's the one change that would most likely turn your rating into a 5-star rating?

Q11
객관식

Which platform do you primarily use this app on?

  • iOS (iPhone/iPad)
  • Android
  • Prefer not to say
Q12
메시지

That's everything — thank you! Your responses feed directly into a report on what's driving our app store rating, so we can fix what's costing us stars and double down on what's earning them.

포함된 기능

  • AI 후속 질문

    정형화된 설문이 놓치는 세부 내용을, 주관식 답변에 맞춰 AI가 심층 질문으로 끌어냅니다.

  • 주의력 확인 장치

    성의 없는 답변과 저품질 응답자를 걸러내는 내장 안전장치입니다.

  • AI가 작성한 문안

    문구, 질문 순서, 분기 로직까지 AI가 연구 목표에 맞춰 작성합니다.

  • 자동 리포트

    응답이 모이면 주요 주제, 인용문, 이해하기 쉬운 요약이 자동으로 작성됩니다.

다른 서비스와 비교

다른 설문 도구의 가장 유사한 템플릿을 검토했습니다. 그 도구들이 잘하는 점과, 이 템플릿이 한발 더 나아가는 지점을 정리했습니다.

이 템플릿을 선택하는 이유

  • Includes a dedicated AI follow-up interview block that reconstructs the specific incident behind each respondent's rating instead of relying on generic complaint checkboxes
  • Pairs a star rating and rating-scale (recommend likelihood) with a matrix of agreement statements and a best-worst trade-off exercise to rank which changes (crashes, speed, ads, pricing, support) matter most vs least
  • Asks directly what prompted the respondent to consider leaving a review, then closes with a open-text question isolating the single change that would flip the rating to 5 stars
  • Auto-generates a report from these combined structured and open-ended responses, with transparent prompts so product/growth teams can see exactly how the AI probed each incident

SurveyMonkey

Mobile App Survey Template & Questions

A ready-to-field static template covering general mobile app satisfaction and usability questions. It's built for broad app feedback rather than specifically diagnosing what drives 1-star vs 5-star app store ratings. Good starting point for general sentiment tracking, but not incident-specific.

잘하는 점

  • Fielding-ready template with pre-written mobile app feedback questions
  • Backed by SurveyMonkey's established survey logic and distribution tools
  • Broad applicability across different app types and use cases

아쉬운 점

  • Fixed question set with no adaptive AI follow-up to probe individual respondent incidents
  • No mechanism to reconstruct the specific event behind a rating (e.g., which crash, which ad) — relies on generic multiple-choice complaint categories
  • No published methodology or prompt transparency since there's no AI-driven questioning involved

QuestionPro

Smiley rating survey questions and sample questionnaire template

This is a generic rating-scale survey template/guide using smiley-face scales, not one built around app store review dynamics or mobile app usage specifically. It's useful as a reference for simple satisfaction scoring but reads more like a general template guide than an app-store-focused study. Teams would need to heavily customize it to capture crash, speed, ads, pricing, and support drivers.

잘하는 점

  • Simple, visual smiley-scale format that's easy for respondents to complete
  • Flexible for many use cases beyond app feedback
  • Includes sample questionnaire text as a starting reference

아쉬운 점

  • Generic satisfaction template, not tailored to app store rating behavior or mobile-specific drivers like crashes/ads/pricing
  • No adaptive AI follow-up or incident reconstruction — just static scale questions
  • No automated quality scoring or auto-generated diagnostic report tied to responses

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