Novel Title Testing & Reader Reaction Survey
For authors and publishers deciding between candidate titles for a new novel. Measures which title is most appealing, whether it signals the right genre, and how likely readers are to pick the book up based on the title alone — with an AI follow-up that digs into the associations, confusion, or hesitation behind readers' top pick.
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。
Here are the candidate titles we're considering for the novel. For each set, pick the one you find most appealing and the one you find least appealing.
- (Replace with Title Option A)
- (Replace with Title Option B)
- (Replace with Title Option C)
- (Replace with Title Option D)
- (Replace with Title Option E)
- (Replace with Title Option F)
- (Replace with Title Option G)
Thinking about the title you rated most appealing, how clearly does it signal what genre the book belongs to?
If you saw that title alone on a shelf or online listing, with no cover art or description, how likely would you be to pick it up and read more?
Based on that title alone, which genre do you think the book is?
- (Replace with Genre 1, e.g. Literary Fiction)
- (Replace with Genre 2, e.g. Thriller)
- (Replace with Genre 3, e.g. Romance)
- (Replace with Genre 4, e.g. Fantasy)
- Not sure
What's the first word, image, or feeling that comes to mind when you read that title?
Below is a draft back-cover blurb using that title. Highlight any words or phrases that feel confusing, off-tone, or that don't match what the title led you to expect.
(Template note: replace with your own draft back-cover blurb before launching.) In a small coastal town where secrets wash ashore with the tide, one woman must decide whether the truth is worth the li…
Focus on the title the respondent rated most appealing. Ask what specifically drew them to it, what they now expect the story to be about, and whether any word in it felt confusing or mismatched with their genre guess. If they rated likelihood to pick it up low, probe what a different word or phrasing would need to convey instead.
In a typical month, how many novels do you read or listen to?
- None
- 1
- 2-3
- 4-6
- 7 or more
What age range do you fall into?
- Under 18
- 18-24
- 25-34
- 35-44
- 45-54
- 55-64
- 65+
- Prefer not to say
That wraps up our title test — thank you! Your reactions will directly shape which title makes it onto the cover.
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
- Uses a max-diff exercise to force real tradeoffs between candidate titles rather than rating them in isolation
- Pairs quantitative signals (appeal rating, genre-fit scale, likelihood-to-pick-up) with qualitative reaction (first-word/feeling association and blurb highlighting) for the same title
- Includes an adaptive AI follow-up interview that digs into why a respondent's top-rated title worked or where it created confusion or hesitation
- Captures reading-frequency and age-range screening data so authors/publishers can see if title appeal differs by reader segment
SurveyMonkey
Name That Novel Survey TemplateA ready-to-use template built specifically around testing novel titles, so it's directly comparable in subject matter. It relies on standard closed-ended question types and static skip logic rather than any adaptive probing. As with most SurveyMonkey templates, respondents answer the same fixed question set regardless of what title they preferred.
優れている点
- Purpose-built for novel/book title testing rather than a generic naming template
- Backed by SurveyMonkey's established survey infrastructure and distribution tools
- Likely quick to deploy with minimal customization needed
物足りない点
- No adaptive AI follow-up to explore why a respondent chose their favorite title
- No voice AI interview option for richer qualitative reactions
- No automated per-response quality scoring or transparent prompt methodology
SurveySparrow
Name Testing Survey TemplateThis is a general business name-testing template (brand/product/business names), not one built for novel titles specifically, so authors would need to heavily adapt the question wording and framing. It's a static template rather than a purpose-fit literary tool. It can still capture basic name preference and association, but without book-specific context like genre signaling.
優れている点
- Flexible enough to be repurposed for testing any kind of name, including a book title
- SurveySparrow's conversational chat-style UI can make static forms feel more engaging
- Comes packaged as part of a broader business-naming template library
物足りない点
- Not tailored to novels — no built-in genre-signal or shelf/online-listing framing
- No adaptive AI interview to probe confusion or hesitation behind a top pick
- No automated quality scoring or auto-generated analysis report
よくあるご質問
「Novel Title Testing & Reader Reaction Survey」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11問含まれており、最初の設問は次のとおりです:「Thanks for helping us test titles for an upcoming novel! Your responses are completely confidential and anonymized. We'l…」・「Here are the candidate titles we're considering for the novel. For each set, pick the one you find most appealing and th…」・「Thinking about the title you rated most appealing, how clearly does it signal what genre the book belongs to?」。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、11問を約6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。
関連テンプレート
似たテーマのほかの調査もご覧ください。