Post-Interview Candidate Evaluation Scorecard
A structured scorecard for interviewers to rate a candidate right after a screen, panel, or onsite round — covering core competencies, standout strengths, and a hire recommendation. An AI follow-up interview digs into the reasoning behind borderline scores so hiring committees get real evidence, not just a number.
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。
Which role or position did you interview this candidate for?
Which stage of the interview process was this?
- Recruiter phone screen
- First-round or panel interview
- Onsite or final-round interview
- Reference or background check conversation
Rate the candidate on each of the following, based only on what you directly observed in this interview.
- Communication & clarity
- Role-specific technical skill
- Problem-solving approach
- Collaboration & teamwork signals
- Culture and values alignment
How likely are you to recommend advancing this candidate to the next stage (or extending an offer)?
Across this interview, which of these signals stood out as the strongest, and which stood out as the weakest?
- Technical depth
- Communication clarity
- Problem-solving under pressure
- Collaboration signals
- Culture and values fit
- Motivation and interest in the role
- Leadership potential
What specific example or moment from the interview best supports your evaluation? Concrete details help other interviewers calibrate.
What concerns, if any, would give you pause about this candidate?
Reconstruct the concrete evidence behind this interviewer's overall recommendation, not just the score. If the recommendation score was in the middle range (roughly 4-7), probe specifically what pushed it up or down and whether the gaps mentioned are coachable versus dealbreakers. Ask for a specific example that would change their mind in either direction, and check whether their rating matches the concerns and strengths they described in the open text answers.
What is your final recommendation for this candidate?
- Strong yes - hire
- Yes - advance to next step
- Maybe - need more information
- No - do not advance
- Strong no - clear reject
That's everything — thank you for the thoughtful feedback! Your scorecard will be shared with the hiring committee alongside notes from other interviewers to inform the final decision.
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
- Combines structured competency ratings (matrix), a hire/no-hire recommendation, and a MaxDiff ranking of standout signals in one scorecard, so committees see both scores and prioritized evidence.
- An AI follow-up interview automatically probes the reasoning behind borderline or inconsistent scores, turning a static rating into documented evidence instead of just a number.
- Open-ended prompts capture the specific example that most supports the evaluation and any concerns that would give the interviewer pause, reducing vague 'thumbs up/down' feedback.
- Auto-generated reports and transparent prompts mean hiring teams can see exactly what was asked and why, with no manual write-up required from the interviewer.
Jotform
Candidate Evaluation Form TemplateA fielding-ready, customizable candidate evaluation form built on Jotform's drag-and-drop form builder. It's designed for quick post-interview rating capture rather than structured hiring-committee workflows. Good for simple scorecards but not built specifically around interview-stage nuance or evidence-gathering.
優れている点
- Easy to customize with Jotform's form builder and templates library
- Quick to deploy for basic post-interview rating capture
- Integrates with Jotform's broader form ecosystem (e.g., approval flows, storage)
物足りない点
- Static form fields only — no adaptive follow-up questioning to probe the reasoning behind a rating
- No mechanism to automatically surface or reconstruct evidence behind a recommendation
- No published methodology or transparent prompt logic for how evaluations are structured
SurveyMonkey
Streamline Hiring With A Candidate Evaluation Form TemplateSurveyMonkey offers a ready-to-use candidate evaluation template aimed at streamlining interviewer feedback collection. It covers standard rating fields but is a generic survey template rather than one tailored to interview-stage evidence or hiring-committee needs. Reporting is limited to SurveyMonkey's standard analytics dashboards.
優れている点
- Simple, recognizable survey format that's fast for interviewers to complete
- Backed by SurveyMonkey's established survey distribution and analytics tools
- Template can be customized with additional rating questions
物足りない点
- No adaptive AI follow-up — static question set can't dig deeper into borderline scores
- No voice AI or guided task/screen-share options for richer interview capture
- Reporting relies on generic survey analytics rather than an evidence-focused hire recommendation report
よくあるご質問
「Post-Interview Candidate Evaluation Scorecard」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 interviewing this candidate! Your responses are completely confidential and anonymized. While it's still fres…」・「Which role or position did you interview this candidate for?」・「Which stage of the interview process was this?」。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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