What Will You Learn From This Case Study:
- How Retail Solutions builds and uses NPS surveys to enhance the product experience
- How AI Copilot accelerates survey creation and improves quality
With the AI Survey Copilot from Product Fruits, crafting insightful surveys becomes effortless and swift. It allows me to create more surveys in a shorter amount of time. Thanks to the AI Survey Copilot, I never miss a crucial question, ensuring comprehensive insights every time.
Lennart Bijkerk, Business Analyst
Retail Solutions
Results:
50%
Reduction in survey preparation time>60%
of AI-suggested content used<20min
Average time from draft to launchChallenges:
- ❌ Survey creation was time-consuming and manual
- ❌ No support for structuring feedback collection
Solution:
- ✅ AI-powered in-app surveys tailored with Survey Copilot
AI-Driven Feedback Collection for Good Product Decisions
As a feature-rich, complex platform, Retail Solutions PMT finds user feedback across different roles essential for product development iterations and improving user experience. The product team therefore provides users with regular, topic-specific feedback channels — especially in-app surveys — to communicate directly within the platform and gather valuable insights on a weekly or monthly basis.
One of the Product Team's top priorities in collecting survey data is to:
- Measuring user satisfaction with specific functionalities
- Understanding the qualitative reasoning behind user satisfaction or dissatisfaction — in words, not just scores
- Using the feedback to guide development priorities and improve the platform as quickly as possible with the user as the main stakeholder
To make survey creation faster and more scalable, the team creates the surveys with AI Survey Copilot. With just a short input, the Copilot suggests the best question types, structure, wording, and survey length. It also supports combining different survey formats (NPS, CSAT, churn, etc.) into one tailored flow.
Running NPS Surveys
The product team regularly conducts a monthly NPS survey, targeting segmented user groups (customers) and using 4-6 cards to gather insights:
- the respondent's user role selection
- overall satisfaction with the platform
- feedback (branching functionality is applied here: based on the score from 0-10, a relevant follow-up card is displayed to collect detailed feedback)
- thank you page
Not sure how to collect and measure NPS user feedback?
Learn everything you need to know in our article — from launching a great NPS survey to evaluating the results!
With the AI Survey Copilot from Product Fruits, crafting insightful surveys becomes effortless and swift. It allows me to create more surveys in a shorter amount of time. Thanks to the AI Survey Copilot, I never miss a crucial question, ensuring comprehensive insights every time.
Lennart Bijkerk, Business Analyst
Retail Solutions
Conclusion:
By combining the power of Product Fruits' in-app surveys with the speed and intelligence of AI Survey Copilot, the Retail Solutions product team has significantly improved the process of collecting user feedback in the PMT platform. The result: a faster feedback loop, smarter product decisions, and a stronger connection with end users.
About The Company
By combining the power of Product Fruits' in-app surveys with the speed and intelligence of AI Survey Copilot, the Retail Solutions product team has significantly improved the process of collecting user feedback in the PMT platform. The result: a faster feedback loop, smarter product decisions, and a stronger connection with end users.
