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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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設問の例

テンプレートの内容をプレビューできます。すべての設問は公開前に自由に編集できます。

全12問・約7分
Q01
メッセージ

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
選択式必須

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
選択式必須

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
評価スケール必須

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

範囲: 1 – 5
最小:1 star - very dissatisfied最大:5 stars - extremely satisfied
Q05
マトリクス必須

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

6行 × 5列
  • 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
  • ほか1件
列: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q06
ベスト・ワースト選択（MaxDiff）必須

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
各セットで最も良いもの・最も悪いものを選択最も良い:Would improve my rating the most最も悪い:Would improve my rating the least
Q07
選択式

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
オピニオンスケール必須

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

スケール: 0 – 10
最小:Not at all likely最大:Extremely likely
Q09
AIインタビュー

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
自由回答（長文）

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

Q11
選択式

Which platform do you primarily use this app on?

  • iOS (iPhone/iPad)
  • Android
  • Prefer not to say
Q12
メッセージ

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.

含まれる機能

  • AIによる深掘り

    自由回答に合わせてAIが追加で質問し、固定のフォームでは拾えない具体的な内容を引き出します。

  • 注意確認設問

    急いだ回答や質の低い回答者を除外する仕組みを標準で備えています。

  • AIが作成する設問文

    文言、設問の順序、条件分岐をAIが調査の目的に合わせて作成します。

  • 自動レポート

    回答が集まると、テーマ、引用、わかりやすい要約が自動で作成されます。

他ツールとの比較

ほかのアンケートツールで最も近いテンプレートを調べました。それぞれの優れている点と、このテンプレートがさらに踏み込んでいる点をまとめています。

このテンプレートを選ぶ理由

  • 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.

優れている点

  • 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

物足りない点

  • 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.

優れている点

  • 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

物足りない点

  • 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

よくあるご質問

「Mobile App Store Rating Drivers Study」テンプレートにはどのような設問が含まれていますか？

すぐに使える設問が12問含まれており、最初の設問は次のとおりです：「Thanks for taking a moment to share your experience with the app! We want to understand what drives great reviews and wh…」・「In the last 30 days, how often have you used this app?」・「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…」。すべての設問は上でプレビューでき、自由に編集できます。

このアンケートの回答にはどのくらい時間がかかりますか？

回答者は通常、12問を約7分で回答し終えます。

テンプレートは編集できますか？

はい。公開前であれば、すべての設問、選択肢、順序を編集できます。設問の追加や削除のほか、調査の目的に合わせた作り直しをAIエディターに依頼することもできます。

このテンプレートは無料で使えますか？

はい。エディターで開けば、すぐに編集を始められます。お試しにアカウントは不要で、無料プランでアンケートを公開できます。

公開の準備はできましたか？

このテンプレートをエディターで開いてみてください。最初の回答者が目にする前に、すべてを自由に変更できます。

このテンプレートを使う無料で始める

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