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Customer Interview Canvas

Use artificial intelligence to generate interview questions.

Blog Article - Product Managment

Unlocking Customer Insights with Canvas AI

Understanding your customers' needs, behaviours, and preferences is paramount when designing products and services that resonate with your target audience. One effective method for gaining these insights is through structured customer interviews. The Customer Interview Canvas is a powerful tool that can help you plan and conduct meaningful interviews.

Imagine you've developed a ride-sharing app, which allows users to share car rides. Users can register on the platform, let other users know that they have free space in their cars, book rides, check the number of available spaces in a car, track the GPS locations of drivers, pay for their bookings, and rate drivers. Additionally, you're considering integrating some innovative features like surprise discounts, in-app chat with drivers, unique in-app games, or personalised music playlists for the car ride.

But before diving into the development of these new features, it's essential to gather feedback on the current version of the app and understand what your users are missing or where improvements can be made.

Customer interviews are a goldmine of information, providing a deep understanding of the challenges and preferences of your target audience. Using a customer interview canvas can give you the following benefits:

Now, let's explore how the Customer Interview Canvas can be applied to gather insights for your ride-sharing app, using five key elements: Setting the Interview Focus, Exploratory Questions, Current State, The Idea, and Feedback.

The Key Elements of the Customer Interview Canvas

An exmaple of a Customer Interview Canvas.


By following the Customer Interview Canvas framework with your ride-sharing app users, you can gather valuable insights and make informed decisions about which new features to prioritise. This structured approach ensures that you capture user needs, motivations, and preferences, setting the stage for a more user-centric and successful app development process.

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