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.
샘플 질문
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How long have you been using the product?
- Under 1 month
- 1–3 months
- 3–12 months
- 1–2 years
- 2+ years
Overall, how satisfied are you with the product over the last 14 days?
In the last 14 days, did you encounter any bugs, errors, or crashes?
- Yes
- No
Please rank the following areas from most to least important for improving your experience.
- Reliability / Stability
- Performance speed
- New or expanded features
- Integrations
- Ease of use / UX
- Reporting & insights
Based on your responses in this survey, is there anything else you'd like to share about your recent experience with the product?
Which of the following best describes your role?
- Individual contributor
- Team lead / Manager
- Executive
- Operations / Support
- Data / Analytics
- Engineering
- Product / Design
- Other
Thank you for your time — your feedback directly helps us prioritize improvements. We appreciate it!
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
How likely are you to recommend this product to a colleague or peer?
Where did the issue(s) occur? Select all that apply.
- Dashboard
- Reports
- Collaboration / Sharing
- Mobile app
- Integrations
- Billing & account
- Settings & admin
- Other (please specify)
If we could ship one change next month, what should it be and why?
Approximately how many people work at your company?
- 1–10
- 11–50
- 51–200
- 201–1,000
- 1,001+
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)
Thank you for your ratings. I'd like to understand what's driving your experience. What factors most influenced how you rated the product?
How disruptive was the most significant issue to your work?
Where are you primarily located?
- North America
- Europe
- Asia-Pacific
- Latin America
- Middle East & Africa
- Other
Please describe the most disruptive issue you experienced. Include what you were doing at the time and any error messages you noticed.
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이 템플릿을 선택하는 이유
- 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 TemplateThis 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.
잘하는 점
- 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
아쉬운 점
- 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 TemplateA 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.
잘하는 점
- Fielding-ready template usable immediately without custom build
- Backed by mature survey distribution and reporting tools
- Likely includes standard satisfaction/NPS question patterns
아쉬운 점
- 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 TemplateSurveySparrow 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.
잘하는 점
- 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
아쉬운 점
- 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
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