Why didn’t our product meet user expectations?

Why didn’t our product meet user expectations?

Possible answers (6)

, , . In our public communication and marketing materials, we have exaggerated the product's capabilities. After actually using the product, the user felt dissonance ().
, . The problem is our inability to put ourselves in the shoes of users. We attracted users to try our product by pointing out a real problem, but our solutions did not match their preferences.
. Users decided to use our product because "it’s good as it’s new." Desire was driven by an emotional impulse, not a rational assessment of utility. In fact, the functionality turned out to be way less useful than they thought.
. Perhaps, with such complaints, users mask the fact that it is difficult for them to work with the product (low qualification/age/habit of working with paper documents/outdated approaches).
. Users did not like a particular element of the product compared to the rest ().
. Users refer to some of our statements that we have never made. This is especially common for B2B customers. Because of this bias, it is useless to convince them otherwise in most cases. To alleviate the negativity, we can try using , .

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UXCG is a free tool that helps teams detect cognitive bias-related UX problems across all product stages, whether you're prototyping, testing, or improving a live product

How to use UXCG

  1. Choose your product stage below;
  2. Find your question (either manually or through search);
  3. Read possible answers.

Each answer explains how cognitive biases relate to your specific situation. Since you understand your context best, you can apply the insights directly. While the tool doesn't provide ready solutions due to each case's uniqueness, it reveals new perspectives backed by cognitive science.

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Questions related to in-house team members cooperation (product, development teams and others).
Questions related to product development stage (from concept to first public release).
Questions related to sales, marketing funnels, prospects and leads communication, and overall product packaging.
Questions related to user interaction with actual product and its features.
Questions related to product analytical data analysis.
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