Tips

Three great questions to ask about your product release according to AI

Coming up with questions to ask users can be a bit of a process. With many items to consider such as:

  • which aspect of the release to cover
  • the type of insight you wish to learn
  • the interviewees individual abilities, preferences, skills, and experience with your product

Devising the perfect set of questions is an exercise in writing, testing, rewriting — a process as similar as the building the product itself. Fortunately, we can use AI to give as a solid starting point, so we asked our smart new AI coworker to give us a hand. For this exercise, we asked this question:

What are three simple questions that I can ask users to determine how my previous product release went?

We went with three questions because that’s how many questions can be comfortably answered within five minutes while allowing respondents to elaborate on their answers.

Here’s what it came up with:

Satisfaction

These questions will help you understand overall satisfaction, identify what users value most, and gather constructive feedback for future improvements.

  1. How satisfied are you with our latest product release?
  2. Which new feature or improvement in our latest release do you find most valuable?
  3. Is there anything about the new release that you think could be improved?

Ease of Use

These questions will provide insights into the usability of new features, user perception compared to previous versions, and the likelihood of users recommending your product.

  1. How easy is it to use the new features introduced in our latest release?
  2. How does our latest release compare to previous versions?
  3. How likely are you to recommend our product to others based on the latest release?

Feature Usage

These questions will help you understand whether the release has effectively resolved past issues, impacted performance, and whether the support provided has been adequate.

  1. How frequently do you use the new features introduced in our latest release?
  2. How would you rate your overall experience with the product since the latest release?
  3. What improvements or new features would you like to see in future releases?

Issue Resolution

These questions will help you measure the adoption rate of new features, gauge the overall user experience, and gather ideas for future enhancements.

  1. Did our latest release address any issues or pain points you previously experienced?
  2. Have you noticed any changes in the performance or speed of the product since the latest release?
  3. How helpful have the support resources (e.g., documentation, customer service) been in helping you adapt to the new release?

These questions will help you measure the adoption rate of new features, gauge the overall user experience, and gather ideas for future enhancements.

Conclusions

The questions AI provided are solid and stays focused on a single category, so whether you’re focused on measuring how well your release is being received, or evaluating a certain area of the UI, or trying to determine if a group of users’ issues are resolved, these sets of questions can be used as a template. It also has a good mix of multiple-choice type questions, which are great for comparing results against everyone else who was asked the same question. Paired with a follow up, “can you please elaborate?” and you’ll be able to dig into their answers.

AI does a great job and it’s certainly here to stay, so let’s use it to our advantage! Stay tuned as we explore how AI performs with creating questions for various of the sales process!