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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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Sample questions

A preview of what’s in the template. Every question is editable before you launch.

13 questions · ~7 min
Q01
Message

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. This will take about 5 minutes.

Q02
Multiple ChoiceRequired

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
Multiple ChoiceRequired

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
Opinion ScaleRequired

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

Scale: 1 – 7
Min:Very difficultMax:Very easy
Q05
Opinion ScaleRequired

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

Scale: 1 – 7
Min:Not accurate at allMax:Completely accurate
Q06
MatrixRequired

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

5 rows × 5 columns
  • 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
Columns: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q07
Best–Worst Trade-off (MaxDiff)Required

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
Pick best & worst per setBest:Matters mostWorst:Matters least
Q08
Opinion ScaleRequired

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

Scale: 0 – 10
Min:Not at all likelyMax:Extremely likely
Q09
AI Interview

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
Long Text

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

Q11
Multiple Choice

Which best describes your role?

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

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
Message

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.

What’s included

  • AI follow-ups

    Adaptive probes on open-ended answers that pull out detail a static form would miss.

  • Attention checks

    Built-in safeguards against rushed answers and low-quality respondents.

  • AI-drafted copy

    Wording, ordering, and branching written by the AI — tuned to your research goal.

  • Auto report

    Themes, quotes, and a plain-English summary write themselves once responses come in.

How it compares

We reviewed the closest templates from other survey tools. Here’s what they do well — and where this template goes further.

Why this template

  • 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.

What it does well

  • 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

Where it falls short

  • 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.

What it does well

  • 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

Where it falls short

  • 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

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