QuestionPunkQuestionPunk
Start free
All templates
Industry-Specific

Statement of Work Clarity & Effectiveness Survey

Evaluates how clearly a Statement of Work defined scope, deliverables, timelines, pricing, and change control for a specific client-vendor engagement, and how well execution matched what was written. Built for procurement, PMO, and agency teams reviewing SOW quality after project close, with an AI follow-up that reconstructs the exact moment scope ambiguity or a change order caused friction.

Use this templateBrowse more templates

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 reflect on the Statement of Work for this engagement. Your answers help us write clearer, more useful SOWs for future projects. Your responses are completely confidential and anonymized. This should take about 5 minutes.

Q02
Multiple Choice

Which best describes your role in this engagement?

  • Client sponsor or business stakeholder
  • Client project manager
  • Vendor or agency project lead
  • Vendor or agency delivery team member
  • Procurement or legal reviewer
Q03
Opinion ScaleRequired

Before the project began, how clearly did the Statement of Work define the scope of work?

Scale: 1 – 7
Min:Not clear at allMax:Extremely clear
Q04
Opinion ScaleRequired

How well did the final deliverables match what was described in the Statement of Work?

Scale: 1 – 7
Min:Did not match at allMax:Matched completely
Q05
MatrixRequired

How much do you agree with each statement about this Statement of Work?

5 rows × 5 columns
  • Milestones and the overall timeline were realistic
  • Pricing and payment terms were clearly explained
  • Roles and responsibilities were clearly assigned to named parties
  • Acceptance criteria for deliverables were specific and measurable
  • The process for requesting and approving changes was clearly defined
Columns: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q06
Multiple ChoiceRequired

Did this engagement require changes to scope, timeline, or budget beyond what the original Statement of Work covered?

  • No changes were needed
  • Yes, minor changes
  • Yes, significant changes
  • Not sure
Q07
Best–Worst Trade-off (MaxDiff)

Which of these areas of the Statement of Work most need improvement for future engagements?

  • Scope definition
  • Timeline and milestones
  • Pricing structure
  • Payment terms
  • Roles and responsibilities
  • Acceptance criteria
  • Change order process
  • Communication cadence
Pick best & worst per setBest:Most needs improvementWorst:Least needs improvement
Q08
Rating ScaleRequired

Overall, how well did the Statement of Work serve as a governance tool for keeping this project on track?

Range: 1 – 5
Min:Poor governance toolMax:Excellent governance tool
Q09
AI Interview

Reconstruct one specific moment during this engagement where the Statement of Work either prevented a problem or failed to prevent one — for example, a scope disagreement, an unclear deliverable, or a change order dispute. Ask what the SOW actually said at that point, what each side expected, and how the gap (if any) got resolved. If the respondent rated the SOW highly on all closed questions, probe for a near-miss they caught early instead of assuming nothing went wrong.

Q10
Long Text

What's one thing that should have been spelled out in the Statement of Work but wasn't?

Q11
Multiple Choice

Roughly how large is your organization?

  • 1-50 employees
  • 51-250 employees
  • 251-1,000 employees
  • 1,001-5,000 employees
  • 5,000+ employees
  • Prefer not to say
Q12
Message

That's everything — thank you! Your feedback feeds directly into a review of our Statement of Work template and process, so future engagements start with clearer expectations on all sides.

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

  • Includes an adaptive AI follow-up interview that asks the respondent to reconstruct the exact moment scope ambiguity or a change order caused friction, going beyond a static rating.
  • Pairs opinion-scale questions on scope clarity and deliverable match with a matrix statement-agreement question, so you get both quantifiable scores and nuanced sentiment on the same SOW.
  • Uses MaxDiff to force-rank which SOW sections (scope, deliverables, timeline, pricing, change control) most need improvement, giving PMO/procurement teams a prioritized fix list instead of generic feedback.
  • Automated per-response quality scoring and an auto-generated report mean procurement and PMO teams can review post-project SOW performance across many engagements without manually reading every open-ended answer.

SurveySparrow

Free Statement of Work Template

This is a form template for drafting/collecting the contents of a Statement of Work document (scope, deliverables, terms) at the start of an engagement, not a survey for evaluating how well a completed SOW performed after project close. It's fielding-ready as a data-capture form but built for the opposite point in the project lifecycle from QuestionPunk's retrospective evaluation template. Useful as a SOW intake tool, but not a comparable post-mortem instrument.

What it does well

  • Fielding-ready form builder on an established survey platform
  • Likely offers customizable fields for standard SOW components (scope, pricing, timeline)
  • Familiar SurveySparrow UI for distribution and response collection

Where it falls short

  • Designed to help create a SOW, not to assess after-the-fact clarity or execution match against a signed SOW
  • No adaptive AI follow-up to reconstruct specific friction moments from scope ambiguity or change orders
  • No published methodology for quality scoring or automated post-engagement reporting

Ready to launch?

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

Use this templateStart free

Related templates

More studies from the same category.

See all
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.

View template
Industry-Specific

Farewell Event Invitation & Attendance Survey

Helps HR teams and event organizers plan a colleague's send-off — capturing RSVP intent, format and logistics preferences, and a heartfelt message. The AI follow-up interview digs up a specific memory or anecdote to include in the card or speech, turning generic well-wishes into something personal.

View template
Industry-Specific

Vaccine Appointment Registration Experience Survey

Measures how easily people can find, register for, and confirm vaccination appointments across online, phone, and walk-in channels, and pinpoints exactly where the process breaks down. Built for health systems, pharmacies, and public health programs; the AI follow-up interview reconstructs what actually happened at the moment registration got difficult, not just a friction score.

View template
Industry-Specific

Innovation Idea Submission Experience Survey

Captures how easy, motivating, and fair the idea submission process felt to someone who just submitted an idea to your innovation program — covering guideline clarity, form usability, and intent to submit again. An AI follow-up interview reconstructs the actual idea's context and the friction that almost stopped them from submitting, giving program owners concrete fixes instead of a generic satisfaction score.

View template
Industry-Specific

What Animal Am I? Personality Quiz

A playful personality quiz that matches respondents to a spirit animal based on how they actually behave in social, work, and stress situations — not just how they see themselves. The AI follow-up digs into the one answer that most shaped their result, so the final match feels earned rather than random.

View template
Industry-Specific

Daily Safety Inspection Checklist Effectiveness Survey

Tracks whether frontline workers and supervisors actually complete daily safety inspections, what hazards they find, and how confident they are that flagged issues get fixed — with an AI follow-up that reconstructs the most recent hazard end-to-end, from discovery to resolution or bottleneck. Built for EHS teams and site managers auditing checklist adherence.

View template