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Customer Experience

14-Day Product Satisfaction & Issue Pulse Survey

A recurring pulse survey for active SaaS product users that measures satisfaction, captures bugs, and prioritizes feature improvements over a rolling 14-day window.

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Sample questions

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

18 questions · ~9 min
Q01
Message

Welcome, and thank you for participating in this brief product feedback survey. Your responses will help us understand your recent experience and prioritize improvements. This survey takes approximately 9 minutes. Participation is voluntary and you may stop at any time. All responses are kept confidential and reported in aggregate only. There are no right or wrong answers — we simply want your honest opinions.

Q02
Dropdown

How long have you been using the product?

  • Under 1 month
  • 1–3 months
  • 3–12 months
  • 1–2 years
  • 2+ years
Q03
Opinion Scale

Overall, how satisfied are you with the product over the last 14 days?

Scale: 1 – 7
Min:Very dissatisfiedMax:Very satisfied
Q04
Multiple Choice

In the last 14 days, did you encounter any bugs, errors, or crashes?

  • Yes
  • No
Q05
Ranking

Please rank the following areas from most to least important for improving your experience.

  1. Reliability / Stability
  2. Performance speed
  3. New or expanded features
  4. Integrations
  5. Ease of use / UX
  6. Reporting & insights
Drag to rank
Q06
Long Text

Based on your responses in this survey, is there anything else you'd like to share about your recent experience with the product?

Q07
Dropdown

Which of the following best describes your role?

  • Individual contributor
  • Team lead / Manager
  • Executive
  • Operations / Support
  • Data / Analytics
  • Engineering
  • Product / Design
  • Other
Q08
Message

Thank you for your time — your feedback directly helps us prioritize improvements. We appreciate it!

Q09
Dropdown

Approximately how many separate sessions did you use the product in the last 7 days?

  • 0 (did not use)
  • 1–2 sessions
  • 3–5 sessions
  • 6–10 sessions
  • 11–20 sessions
  • More than 20 sessions
Q10
Opinion Scale

How likely are you to recommend this product to a colleague or peer?

Scale: 0 – 10
Min:Not at all likelyMax:Extremely likely
Q11
Multiple Choice

Where did the issue(s) occur? Select all that apply.

  • Dashboard
  • Reports
  • Collaboration / Sharing
  • Mobile app
  • Integrations
  • Billing & account
  • Settings & admin
  • Other (please specify)
Q12
Long Text

If we could ship one change next month, what should it be and why?

Q13
Dropdown

Approximately how many people work at your company?

  • 1–10
  • 11–50
  • 51–200
  • 201–1,000
  • 1,001+
Q14
Multiple Choice

Which parts of the product did you use in the last 14 days? Select all that apply.

  • Dashboard
  • Reports
  • Collaboration / Sharing
  • Mobile app
  • Integrations
  • Billing & account
  • Settings & admin
  • Other (please specify)
Q15
AI Interview

Thank you for your ratings. I'd like to understand what's driving your experience. What factors most influenced how you rated the product?

Q16
Opinion Scale

How disruptive was the most significant issue to your work?

Scale: 1 – 5
Min:Not at all disruptiveMax:Extremely disruptive
Q17
Dropdown

Where are you primarily located?

  • North America
  • Europe
  • Asia-Pacific
  • Latin America
  • Middle East & Africa
  • Other
Q18
Long Text

Please describe the most disruptive issue you experienced. Include what you were doing at the time and any error messages you noticed.

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

  • Combines structured quant (satisfaction, NPS-style likelihood-to-recommend, usage frequency, feature-area checklist) with an AI follow-up interview that adaptively probes what's actually driving the score, rather than stopping at a static scale.
  • Purpose-built for SaaS bug and issue triage: it asks whether bugs occurred, where they occurred, how disruptive the worst one was, and then an open-text description of what happened and what the respondent was doing — giving product teams reproducible detail, not just a satisfaction number.
  • Includes a ranking exercise for improvement priorities and an open 'what should we ship next month' question, so the survey doubles as a lightweight roadmap-prioritization input, not just a sentiment tracker.
  • Designed as a recurring 14-day pulse (with role, company size, and location segmentation) so results can be trended over time and cut by respondent segment, and every AI probe/prompt is transparent and auditable.

QuestionPro

Product Satisfaction Survey Questions + Sample Template

This page reads as a question-bank/sample-template article rather than a ready-to-field survey instrument, covering general product satisfaction question ideas. It's a useful reference for question wording but doesn't provide a bug-triage flow or a rolling pulse structure out of the box. QuestionPro's platform does support advanced logic and reporting, but that's separate from what's shown on this page.

What it does well

  • Offers sample question phrasing across multiple satisfaction dimensions
  • Backed by a broader survey platform with logic/branching capabilities
  • Useful as a starting reference for building a custom satisfaction survey

Where it falls short

  • Presented as static sample questions, not a pre-built fielding-ready recurring pulse template
  • No adaptive AI follow-up interview to probe 'why' behind a rating in real time
  • No structured bug/issue-location capture or disruption-severity scoring shown

SurveyMonkey

Product Satisfaction Survey Template

A ready-to-use, fielding-ready template from a well-established survey platform, likely covering general satisfaction and NPS-style questions. It's a solid generic starting point but is not tailored to a recurring 14-day SaaS usage cadence or to structured bug/issue capture. Follow-up is limited to static branching logic rather than conversational AI probing.

What it does well

  • Fielding-ready template usable immediately without custom build
  • Backed by mature survey distribution and reporting tools
  • Likely includes standard satisfaction/NPS question patterns

Where it falls short

  • Static question set with no adaptive AI interview to dig into 'why' a respondent answered as they did
  • No built-in bug-location, severity-scoring, or guided screen-share task for issue reproduction
  • No automated per-response quality scoring or transparent prompt methodology

SurveySparrow

Product Satisfaction Survey Template

SurveySparrow is known for conversational, chat-style survey UI, and this template likely presents satisfaction questions in that format. It's a ready-made template but appears general-purpose rather than built specifically around a recurring product pulse or structured bug intake. The conversational tone improves completion rates but isn't the same as true adaptive AI interviewing that generates novel follow-up questions.

What it does well

  • Conversational, chat-style question flow that can feel more engaging than a plain form
  • Fielding-ready template requiring minimal setup
  • Platform supports mobile-friendly, one-question-at-a-time delivery

Where it falls short

  • Conversational UI is scripted, not adaptive AI that generates new probing questions based on responses
  • No structured bug/issue-severity or issue-location capture evident
  • No automated quality scoring or transparent AI prompt disclosure

Ready to launch?

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

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