NPS – Product & Brand Satisfaction Survey
This survey leverages slider-based rating mechanisms to capture precise customer sentiment across product, service, and overall brand interactions. The scoring scale operates from 0 (no satisfaction) to 10 (exceptional satisfaction), enabling accurate Net Promoter Score calculation and trend identification. Complementary demographic data is gathered to facilitate customer segmentation and targeted improvement strategies.
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How to Use This Checklist
- **Complete the logistics fields.** Record the date the survey was conducted, who prepared it, and the location before a respondent begins.
- **Ask the rating questions.** Use the slider-based scale from 0 (no satisfaction) to 10 (exceptional satisfaction) for both the product recommendation question based on the most recent purchase and the recommendation question based on the entire relationship with the company.
- **Record qualitative feedback.** Ask the respondent which improvements would motivate a 9 or 10 rating, which aspects were particularly well-executed, where the greatest opportunity to enhance performance lies, how many purchases they completed in the past 12 months, and any additional thoughts or suggestions.
- **Collect demographic details.** Gather gender, age range, marital status, and highest level of education for segmentation purposes.
- **Capture transaction details.** Obtain a signature, the finished-at time, and the inspection's real start and end dates.
- **Calculate and review results.** Use the 0 to 10 scores to compute Net Promoter Scores, identify trends, and inform targeted improvement strategies.
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What this NPS survey covers
This NPS – Product & Brand Satisfaction Survey is a template for measuring customer sentiment through slider-based rating questions, supplemented by open-ended prompts and demographic data. It captures feedback across three areas: satisfaction assessment, experience evaluation, and customer demographics. The satisfaction assessment section asks two core recommendation questions. The first is based solely on the respondent's most recent purchase: how likely they are to recommend the product to a friend or colleague, rated from 0 (not at all likely) to 10 (extremely likely). The second reflects on the respondent's entire relationship with the company and asks the same recommendation question on the same scale, with 0 meaning not at all likely and 10 meaning extremely likely. The experience evaluation section gathers qualitative feedback. Respondents are asked what specific improvements would motivate a rating of 9 or 10, which aspects of their experience were particularly well-executed, and where they believe the company has the greatest opportunity to enhance its performance. They are also asked how many purchases they have completed over the past 12 months and invited to share any additional thoughts, suggestions, or feedback.
Who this checklist is for
This survey is intended for organisations that want a structured way to capture customer sentiment and calculate Net Promoter Score. It is suitable for teams that need to collect consistent rating data alongside contextual feedback and demographic information for segmentation. - **Customer experience teams** can use the two recommendation questions to track satisfaction at both the product level and the brand level. - **Marketing and research teams** can use the demographic section to segment customers by gender, age range, marital status, and highest level of education. - **Operational teams** can use the open-ended prompts to identify specific improvement priorities and areas of strength. The template is deliberately concise, with a defined set of questions, so that responses remain comparable across respondents and over time.
Why satisfaction and NPS measurement matters
The 0 to 10 scale used in the two recommendation questions is what enables Net Promoter Score calculation. Because the scale runs from 0 (no satisfaction) to 10 (exceptional satisfaction), responses can be aggregated into a single score and tracked across survey waves to identify trends. This survey also matters because it collects the context behind the numbers. The open-ended questions ask what would motivate a 9 or 10 rating, which aspects of the experience were particularly well-executed, and where the greatest opportunity to improve lies. Complementary demographic data, including gender, age range, marital status, and highest level of education, supports customer segmentation and targeted improvement strategies. Purchase frequency over the past 12 months provides additional context for interpreting responses.
Conducting the survey
The survey begins with logistics fields to identify and timestamp the response: conducted on, prepared by, and location. You then work through the rating and open-ended questions: 1. Ask the product recommendation question, framed around the respondent's most recent purchase, on a 0 to 10 scale. 2. Ask the company recommendation question, framed around the respondent's entire relationship with the organisation, on the same 0 to 10 scale. 3. Ask what specific improvements would motivate a rating of 9 or 10. 4. Ask which aspects of the experience stood out as particularly well-executed. 5. Ask in which areas the greatest opportunity to enhance performance exists. 6. Ask how many purchases the respondent has completed over the past 12 months. 7. Invite any additional thoughts, suggestions, or feedback. The survey closes with the customer demographic section covering gender, age range, marital status, and highest level of education, followed by signature, finished at, and the inspection's real start and end dates. Once responses are collected, the 0 to 10 scores can be used to calculate Net Promoter Score and identify trends.
Scoring and interpretation
The two recommendation questions are scored on a 0 to 10 scale. The product-level question is anchored from 0 (not at all likely) to 10 (extremely likely), and the brand-level question uses the same anchors. The broader satisfaction scale runs from 0 (no satisfaction) to 10 (exceptional satisfaction). The open-ended questions are not scored numerically. Instead, they provide explanations for the ratings: what would move a respondent to give a 9 or 10, what was well-executed, and where the greatest opportunity for improvement lies. Purchase frequency (how many purchases in the past 12 months) helps contextualise the data. Demographic responses allow results to be segmented and targeted improvement strategies to be developed.
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