Q01
Message
All templates
Transaction-Level Net Promoter Score Survey
Captures Net Promoter Score right after a specific purchase, support call, delivery, or service visit — revealing whether that single interaction is building loyalty or quietly eroding it. Built for CX, support, and operations teams who need transaction-level signal instead of annual survey noise, with an AI follow-up that uncovers the concrete moment behind each score rather than a vague comment.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
12 questions · ~7 min
Q02
Multiple ChoiceRequired
Which channel did you use for this transaction?
- Website
- Mobile app
- Phone / call center
- In-person at a store or branch
Q03
Opinion ScaleRequired
Based on this specific transaction, how likely are you to recommend (Replace with Company Name) to a friend or colleague? (Template note: replace with the exact interaction type, e.g. 'this support call', before launching.)
Scale: 0 – 10
Min:Not at all likelyMax:Extremely likely
Q04
Multiple ChoiceRequired
What's the main reason for the score you just gave?
- Speed of service
- Product or service quality
- Staff helpfulness or expertise
- Ease of the process
- Price or value
- Problem resolution
Q05
AI Interview
Probe the specific reason behind the respondent's score, anchoring on the transaction they just completed and the driver they selected. If they gave a low or middling score, find out exactly what broke down and what a real fix would look like; if they gave a high score, identify the single moment that stood out so it can be reinforced. Push for a concrete detail — a step, a delay, a person, a message — rather than a general impression.
Q06
Matrix
Thinking specifically about this transaction, rate each of the following:
5 rows × 5 columns
- Speed of the process
- Ease of getting help or completing the transaction
- Staff or support helpfulness
- Clarity of communication
- How well your issue or need was resolved
Columns: Poor · Below average · Average · Good · Excellent
Q07
Opinion ScaleRequired
Overall, how much effort did it take on your part to complete this transaction?
Scale: 1 – 7
Min:Very high effortMax:Very low effort
Q08
Multiple ChoiceRequired
Did this interaction fully address what you needed?
- Yes, completely
- Partially
- No, not at all
- Not applicable
Q09
Multiple Choice
How likely are you to use this same channel or process again for a similar need?
- Definitely will
- Probably will
- Might or might not
- Probably won't
- Definitely won't
Q10
Multiple Choice
How often do you typically interact with (Replace with Company Name)?
- This was my first time
- A few times a year
- Monthly
- Weekly or more
- Prefer not to say
Q11
Multiple Choice
Which age range best describes you?
- Under 25
- 25-34
- 35-44
- 45-54
- 55-64
- 65 or older
- Prefer not to say
Q12
Message
Thank you! Your feedback goes straight to the team responsible for this exact experience and helps us close the loop on issues quickly.
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
- Anchors every question to the specific transaction (purchase, support call, delivery, or service visit) rather than a generic relationship NPS, starting with a chat message that names the exact interaction being rated
- Pairs the opinion-scale NPS score with an AI follow-up interview that probes the specific reason behind that score, so you get the concrete moment behind the number instead of a one-line comment
- Goes beyond a single NPS question with a matrix rating of transaction-specific attributes, an effort score, a resolution check, and a channel-repeat-intent question — giving CX/ops teams a full diagnostic, not just a score
- Closes the loop with a chat message confirming feedback routes straight to the team responsible for that exact experience, reinforcing that this is built for operational follow-up, not annual benchmarking
Jotform
Net Promoter Score Form TemplateA drag-and-drop NPS form built on Jotform's general form-building platform rather than a dedicated survey research tool. It's fielding-ready as a simple form, but it's built for generic satisfaction capture rather than transaction-specific CX signal. Customization is manual, question by question.
What it does well
- Easy to customize visually via Jotform's form builder
- Simple to embed or share as a standalone form
- Low barrier to quickly stand up a basic NPS question
Where it falls short
- No adaptive AI follow-up — it's a static form with fixed fields, so it can't probe the specific reason behind a score
- No transaction-anchoring structure (channel, effort, resolution) built around a single specific interaction
- No automated per-response quality scoring or auto-generated analysis report
QuestionPro
Net Promoter Score survey template | NPS survey template and questionsA fielding-ready NPS survey template from an established enterprise survey platform, framed around general NPS methodology and best-practice question wording. It reads as a relationship/general NPS template rather than one purpose-built for a single transaction like a support call or delivery.
What it does well
- Backed by an established survey platform with broad analytics and reporting tooling
- Includes standard NPS methodology guidance alongside the questions
- Supports typical follow-up open-text questions
Where it falls short
- Follow-up questions are static/predefined, not an adaptive AI interview that digs into the specific transaction reason
- No published, transparent prompt logic for how follow-ups are generated
- No built-in per-response quality scoring or automated transaction-level reporting
SurveyMonkey
Net Promoter Score Survey TemplateA widely used, fielding-ready NPS template from a major general-purpose survey platform. It's a solid starting point for a standard relationship NPS survey, but the page doesn't indicate any transaction-specific anchoring (e.g., 'this purchase' or 'this call') or adaptive questioning.
What it does well
- Backed by a well-known, mature survey platform with strong distribution options
- Likely includes benchmark data given SurveyMonkey's scale
- Simple to launch quickly for a general NPS pulse
Where it falls short
- Static question set with no adaptive AI follow-up to surface the concrete moment behind a score
- No visible mechanism to anchor responses to one specific transaction versus overall relationship
- No automated per-response quality scoring or transparent AI prompt methodology
SurveySparrow
Customer Net Promoter Score (NPS) TemplateA fielding-ready NPS template presented in SurveySparrow's conversational, chat-style survey format, which makes it feel more personal than a plain form. It's still a scripted question flow, though, rather than one that dynamically probes each respondent's specific answer.
What it does well
- Conversational chat-style UI that can feel more engaging than a static form
- Fielding-ready template designed specifically for NPS
- Likely supports mobile-friendly, one-question-at-a-time delivery
Where it falls short
- Conversational UI is scripted, not adaptive — it doesn't generate a follow-up question based on the specific reason a respondent gave
- No indication of transaction-level anchoring (specific purchase/call/delivery) versus general relationship NPS
- No automated quality scoring of responses or auto-generated report tied to a specific interaction
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.