Q01
メッセージ
すべてのテンプレートIndustry-Specific
Candidate Experience & Recruitment Process Feedback
Captures how candidates experienced your hiring process — from application through offer or rejection — covering communication, timeliness, interview quality, and fairness. An AI follow-up interview digs into the specific moment that shaped a candidate's willingness to recommend applying to your company. Built for talent acquisition teams auditing their funnel.
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11問・約6分
Q02
選択式必須
Which stage of our hiring process did you reach?
- Submitted an application only
- Initial phone/recruiter screen
- One or more interviews
- Received an offer
- Hired and started the role
Q03
マトリクス必須
How would you rate the following parts of your experience?
5行 × 5列
- Communication and updates from the recruiting team
- Speed of the process from application to decision
- Professionalism and preparedness of interviewers
- Clarity about the role, expectations, and compensation
- Fairness of how you felt you were evaluated
列: Poor · Below average · Average · Good · Excellent
Q04
オピニオンスケール必須
How likely are you to recommend applying to this company to a friend or colleague?
スケール: 0 – 10
最小:Not at all likely最大:Extremely likely
Q05
選択式必須
What was the outcome of your application?
- Accepted an offer
- Declined an offer
- Was not selected / rejected
- Still in process
- Withdrew my application
Q06
AIインタビュー
Probe the reasoning behind the respondent's recommendation score: identify the single stage or interaction (screen, specific interview, offer conversation, feedback or lack of it) that most shaped their opinion. If they scored low (0-6), dig into exactly what went wrong and whether it was about communication, speed, interviewer conduct, or the outcome itself. If they scored high (9-10), find out what specifically stood out as better than a typical hiring process. If their outcome was 'not selected,' gently ask whether they received any feedback on why and how that affected their impression.
Q07
ランク付け
Rank the following in order of what would most improve the candidate experience, from most to least impactful.
- Faster responses between stages
- Clearer information about the role and next steps
- More detailed feedback after interviews
- More respectful and flexible scheduling
- Greater transparency on salary range earlier in the process
- More realistic preview of day-to-day work
ドラッグして順位を付ける
Q08
自由回答（長文）
Is there anything else about your application or interview experience you'd like us to know?
Q09
選択式
Which team or department did you apply to? (Replace with your own department list before launching. Template note: tailor this to your organization's structure.)
- Engineering / Product
- Sales / Business Development
- Marketing
- Operations
- Customer Support
- Other
- Prefer not to say
Q10
選択式
How many years of professional experience did you have when you applied?
- Less than 2 years
- 2-5 years
- 6-10 years
- More than 10 years
- Prefer not to say
Q11
メッセージ
Thank you for sharing your experience! Your feedback goes directly to our talent acquisition team and will shape improvements to how we communicate with and evaluate future candidates.
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
- Goes beyond static ratings with an AI follow-up interview that probes the specific moment behind a candidate's recommendation score, so you learn the 'why' instead of guessing from a number.
- Covers the full funnel in one flow — stage reached, application outcome, department applied to, and experience level — giving talent acquisition teams segmentable data, not just an average score.
- Includes a matrix rating of distinct process stages (communication, timeliness, interview quality, fairness) plus a ranking question that forces candidates to prioritize what would most improve the process.
- Ends with an open long-text field and a transparent closing message, so nothing candidates want to say gets missed, and every AI prompt used to probe them is disclosed rather than hidden.
SurveySparrow
Candidate Experience Survey TemplateA fielding-ready, conversational-style survey template built specifically for candidate experience feedback. It's part of SurveySparrow's broader employee survey suite and follows their standard chat-like UI. It covers the topic well as a static questionnaire but is not built specifically to interrogate the reasoning behind any single score.
優れている点
- Ready-to-use template scoped directly to candidate experience
- Conversational survey format that may feel more approachable than a plain form
- Backed by a full survey platform with broader distribution and reporting tools
物足りない点
- No adaptive AI follow-up — the same fixed questions go to every candidate regardless of their answers
- No per-response quality scoring or automated reasoning-level report generation
- No published methodology on how question logic or scoring works
Jotform
Candidate Feedback Survey Form TemplateA customizable form-builder template for collecting candidate feedback, aimed at general HR use rather than a dedicated research/CX use case. It's easy to edit and deploy but is a static form rather than an interview-style survey. Best suited for simple, low-effort feedback collection rather than deep qualitative analysis.
優れている点
- Highly customizable drag-and-drop form builder
- Quick to deploy with existing Jotform account and integrations
- Free tier available for basic form collection
物足りない点
- Static question set with no adaptive or AI-driven follow-up questioning
- No voice interview option or guided screen-share tasks
- No automated quality scoring or synthesized reporting on responses
Typeform
Candidate Feedback Survey TemplateA polished, conversational one-question-at-a-time template for candidate feedback, well known for strong completion rates due to its UX. It's a fielding-ready survey template but relies on pre-set branching logic rather than true AI-driven adaptive interviewing. Good for general sentiment capture, less suited to deep root-cause analysis of a single score.
優れている点
- Strong, well-tested conversational UX known to improve completion rates
- Easy template customization and branding
- Logic-jump branching for basic personalization
物足りない点
- No true adaptive AI interviewing — branching is rule-based, not generated in response to open-ended reasoning
- No voice AI interview or guided task/screen-share capability
- No automated per-response quality scoring or AI-authored summary reports
よくあるご質問
「Candidate Experience & Recruitment Process Feedback」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 taking a few minutes to share feedback on your experience applying with us. Your responses are completely con…」・「Which stage of our hiring process did you reach?」・「How would you rate the following parts of your experience?」。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。
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