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すべてのテンプレート
Industry-Specific

Parts Request & Fulfillment Experience Survey

Measures how easily technicians, mechanics, and maintenance staff can request, track, and receive the right parts — covering speed, accuracy, availability communication, and channel preference. An AI follow-up interview reconstructs the most recent problematic request to pinpoint exactly where the process breaks down. Built for parts suppliers, distributors, and internal procurement teams.

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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13問・約7分
Q01
メッセージ

Thanks for taking a few minutes to share your experience requesting parts. Your feedback helps us fix delays and mix-ups before they cost you time. Your responses are completely confidential and anonymized. This will take about 5 minutes.

Q02
選択式必須

In the last 30 days, how many times have you submitted a parts request?

  • None
  • 1-3 times
  • 4-9 times
  • 10 or more times
Q03
選択式必須

Which channel do you use most often to request parts?

  • Online portal or app
  • Phone call
  • Email
  • In person at counter
  • Text message or chat
Q04
オピニオンスケール必須

How easy is it to submit a parts request and get confirmation it was received?

スケール: 1 – 7
最小:Very difficult最大:Very easy
Q05
オピニオンスケール必須

Thinking about your most recent order, how accurately did what arrived match what you requested?

スケール: 1 – 7
最小:Not accurate at all最大:Completely accurate
Q06
マトリクス必須

How much do you agree with each statement about your parts requests over the last few months?

5行 × 5列
  • I can easily tell what's in stock before I order
  • I get timely updates when a part is delayed or backordered
  • The parts I receive match the part numbers I requested
  • Packaging and labeling make it easy to confirm what I received
  • Staff or support reps are knowledgeable when I have questions
列: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q07
ベスト・ワースト選択（MaxDiff）必須

When requesting parts, which factors matter most to you and which matter least?

  • Speed of delivery
  • Accuracy of the order
  • Price transparency
  • Clear communication about delays
  • Real-time stock availability info
  • Ease of placing the order
  • Quality of packaging and labeling
各セットで最も良いもの・最も悪いものを選択最も良い:Matters most最も悪い:Matters least
Q08
オピニオンスケール必須

How likely are you to recommend this parts request process to a colleague at another site?

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 respondent's most recent parts request that didn't go smoothly: what part they needed, how they submitted the request, where the breakdown happened (wrong part, delay, no stock, poor communication), and what they had to do to work around it. If they say every recent request went fine, probe what would make an already-good process even faster or more reliable, and anchor on a specific example rather than a general impression.

Q10
自由回答（長文）

Is there anything about the parts request process — ordering, tracking, or receiving — you'd like to see changed?

Q11
選択式

Which best describes your role?

  • Technician / Mechanic
  • Maintenance staff
  • Procurement / Purchasing
  • Shop or site manager
  • Other
  • Prefer not to say
Q12
選択式

How long have you been requesting parts through this process?

  • Less than 6 months
  • 6 months to 2 years
  • 2 to 5 years
  • More than 5 years
  • Prefer not to say
Q13
メッセージ

Thank you for your feedback! We're using these responses to identify where delays and part mismatches happen most, so we can fix the process for everyone who relies on it.

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 a single order-accuracy rating with a full flow covering channel preference, submission ease, accuracy, and likelihood to recommend, plus a matrix of agreement statements for a fuller picture over the past 30 days
  • Uses an AI follow-up interview to reconstruct the respondent's most recent problematic parts request, pinpointing exactly where the process broke down rather than relying on a single open-text box
  • Includes a max-diff exercise to rank what factors (speed, accuracy, availability info, etc.) matter most vs least to requesters, giving prioritization data static forms don't capture
  • Segments by role and tenure (how long they've used the process) so procurement teams can see whether pain points differ by technician experience level or job function

Jotform

Parts Request Form Template

This is a fillable form for submitting a parts request (item, quantity, urgency, etc.), not a survey measuring the experience of the request process itself. It's built for capturing a single transaction, not for gathering feedback on speed, accuracy, or channel preference across multiple past requests. Useful as an intake form but not comparable as an experience-measurement instrument.

優れている点

  • Quick to deploy as a standard order-intake form
  • Familiar drag-and-drop Jotform builder for customizing fields
  • Can integrate with other Jotform workflow/automation tools

物足りない点

  • No mechanism to probe why a specific past request went wrong — it's a submission form, not a feedback survey
  • No adaptive or AI-driven follow-up; fields are static and fixed at design time
  • No built-in scoring, prioritization (e.g., max-diff), or automated reporting on requester experience

SurveySparrow

Parts Request Form Template

Framed as an order form for submitting parts requests rather than a survey diagnosing where the request-and-fulfillment process breaks down. SurveySparrow's conversational format may make submission smoother, but the template itself is transactional, not evaluative of speed, accuracy, or channel preference.

優れている点

  • Conversational, chat-style UI can make form completion feel less tedious
  • Mobile-friendly presentation typical of SurveySparrow forms
  • Easy to customize fields for different parts-ordering scenarios

物足りない点

  • No adaptive AI interview to reconstruct a specific problematic past request
  • No published methodology on how questions are scored or weighted
  • Lacks trade-off analysis (e.g., max-diff) to reveal which fulfillment factors matter most to requesters

よくあるご質問

「Parts Request & Fulfillment Experience 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13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 your experience requesting parts. Your feedback helps us fix delays and mix-ups…」・「In the last 30 days, how many times have you submitted a parts request?」・「Which channel do you use most often to request parts?」。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、13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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