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Internal Process Improvement Diagnostic Survey

Diagnoses friction in a specific internal process — where time gets lost, which steps break down, and what to fix first — built for ops leads, IT, or process owners running a targeted improvement review. A trade-off ranking surfaces the top pain point, and the AI follow-up interview digs into a concrete recent example instead of a generic complaint.

Sample questions

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

12 questions · ~7 min
Q01
Message

Thanks for taking a few minutes to help us fix this process! Your honest experience matters more than the 'official' version of how things work. About 5-6 minutes.

Q02
Multiple ChoiceRequired

Which process are you evaluating today? (Template note: replace with the specific process names you're studying before launching.)

  • Process A (Replace with your process name)
  • Process B (Replace with your process name)
  • Process C (Replace with your process name)
Q03
Opinion ScaleRequired

Overall, how efficient is this process today?

Scale: 110
Min:Extremely inefficientMax:Extremely efficient
Q04
MatrixRequired

How much do you agree with the following statements about this process?

5 rows × 5 columns
  • Steps in this process are clearly documented
  • Handoffs between teams or systems are smooth
  • The tools/systems I use support this work well
  • I have the authority to resolve issues without escalating
  • Exceptions or edge cases are handled effectively
Columns: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q05
Multiple ChoiceRequired

In the last 30 days, how often did this process cause a delay, error, or rework you had to fix?

  • Never
  • Rarely
  • Sometimes
  • Often
  • Every time
Q06
Point Allocation

Allocate 100 points across these stages based on where the most time gets lost or wasted. (Template note: replace the stage names with the actual steps in your process.)

  • Intake/request submission (Replace with your stage)
  • Review/approval (Replace with your stage)
  • Execution/fulfillment (Replace with your stage)
  • Handoff to another team (Replace with your stage)
  • Quality check/rework (Replace with your stage)
  • Closeout/reporting (Replace with your stage)
Allocate 100 points
Q07
Best–Worst Trade-off (MaxDiff)Required

Comparing these pain points, which is the biggest problem and which is the smallest? (Template note: replace with the actual pain points your team has flagged.)

  • Unclear ownership of steps (Replace with your pain point)
  • Manual data entry/re-entry (Replace with your pain point)
  • Slow approvals (Replace with your pain point)
  • Poor visibility into status (Replace with your pain point)
  • Outdated tools or systems (Replace with your pain point)
  • Inconsistent instructions across teams (Replace with your pain point)
  • Too many exceptions/special cases (Replace with your pain point)
Pick best & worst per setBest:Biggest problemWorst:Smallest problem
Q08
AI InterviewRequired

Probe the specific pain point the respondent ranked as the biggest problem: ask for a recent, concrete example — what triggered it, how much time or effort it added, and who else was involved. If their overall efficiency rating was low but the pain point they picked seems minor, reconcile that gap by asking what else is really driving the frustration. Close by asking what a realistic fix would look like and what has stopped that fix from happening already.

Q09
Long Text

If you could change exactly one step in this process, what would it be and why?

Q10
Multiple Choice

Which department or team are you part of?

  • Operations (Replace with your department)
  • Customer Support (Replace with your department)
  • Engineering/IT (Replace with your department)
  • Finance (Replace with your department)
  • Prefer not to say
Q11
Multiple Choice

How long have you been performing this process?

  • Less than 3 months
  • 3-12 months
  • 1-3 years
  • More than 3 years
  • Prefer not to say
Q12
Message

That's everything — thank you! Your answers feed directly into a process review, and the biggest pain points will be prioritized for fixes this quarter.

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

  • A max diff trade-off ranking forces respondents to name their single biggest pain point instead of listing generic complaints, and the AI follow-up interview then digs into a concrete recent example of that exact pain point.
  • A constant-sum allocation (100 points across process stages) pinpoints where time is actually being lost, paired with a frequency question on delays, errors, and rework in the last 30 days for a factual baseline.
  • A matrix of agreement statements and an efficiency rating give quantifiable process-health scores, while an open long-text question captures the one change respondents would prioritize.
  • Responses feed directly into an auto-generated report built for a process review, with per-response quality scoring so ops leads can trust which answers are substantive.

Jotform

Process Improvement Survey Form Template

A ready-to-use static form template on Jotform's builder, easily customizable with their drag-and-drop editor and form logic. It's a fielding-ready survey but relies on fixed question sets rather than any adaptive questioning. Good for quick deployment if you already know exactly what to ask.

What it does well

  • Fielding-ready template with drag-and-drop customization
  • Benefits from Jotform's broader form logic and integration ecosystem
  • Likely quick to deploy and embed

Where it falls short

  • No adaptive AI follow-up to probe individual responses in depth
  • No automated per-response quality scoring
  • No voice interview option or transparent prompt methodology

SurveyMonkey

Tool And Process Improvement Survey Template

A fielding-ready static survey template covering tool and process improvement broadly, backed by SurveyMonkey's established analytics and benchmarking features. It's a solid generic starting point but not tailored specifically to diagnosing one named internal process end-to-end.

What it does well

  • Fielding-ready with SurveyMonkey's analytics dashboard
  • Backed by broad survey benchmarking data
  • Familiar, trusted platform for respondents

Where it falls short

  • No adaptive AI interview to dig into a specific recent example
  • No automated quality scoring per response
  • No transparent, publishable prompt methodology

SurveySparrow

Process Improvement Survey Template

A fielding-ready conversational-style template, leveraging SurveySparrow's chat-like UI for a more engaging respondent experience. Sample questions are provided but appear to be static, not dynamically generated based on answers. Good for a friendlier feel but not a diagnostic deep-dive tool.

What it does well

  • Conversational chat-style question flow
  • Fielding-ready with sample questions included
  • Likely mobile-friendly presentation

Where it falls short

  • Conversational tone is scripted, not adaptive AI-driven follow-up
  • No mechanism to surface and then probe a top-ranked pain point
  • No per-response quality scoring or auto-generated diagnostic report

Typeform

Process Improvement Survey Template

A fielding-ready template built on Typeform's well-known one-question-at-a-time design, good for completion rates and polish. It's a static question set with branching logic at best, not a system that interviews respondents about specific examples. Best suited for lightweight pulse checks rather than a targeted diagnostic review.

What it does well

  • Polished, high-completion-rate question flow
  • Fielding-ready with Typeform's design strengths
  • Supports basic conditional logic branching

Where it falls short

  • No adaptive AI follow-up interview or voice interview option
  • No automated per-response quality scoring
  • No transparent AI prompt methodology since there's no AI involved

Ready to launch?

Open this template in the editor. Every part is yours to change before the first respondent sees it.