2023-07-14 15:00:23
AI tools are a great help in our daily tasks, but trusting them with all our work can be negative and bring bad results.
The arrival of AI tools to the UX industry seeks to capitalize on the interest generated by the impact of ChatGPT, promising revolutionary solutions, among which are automated analysis or the reduction of biases in UX Research processes. However, these claims are often somewhat exaggerated, so it is important to be cautious when considering a subscription to their services.
Therefore, it is necessary to take into account certain considerations before using these tools to carry out UX Research processes.
Limitations you can find
Some of the limitations that you may encounter in your work may be the following:
Inability to process audiovisual material
These types of tools cannot process videos, which limits their analysis in transcripts. This is problematic in cases such as usability tests, since these are based on the observation of the interaction of the users with the product and the words of the participants may not capture all the relevant aspects.
Vague summaries and unclear recommendations
AI tools often provide extremely vague summaries and recommendations. They do not specify what is meant by “relevant information” or “detailed descriptions”. This makes it difficult to apply the recommendations they can generate in practice.
lack of validation
Some AI tools do not provide clear references that allow you to verify the origin of the recommendations generated. This makes it difficult to distinguish between the interpretations of the system and the statements of the participants, leading to confusion and possible errors in decision making.
Cognitive biases
Although AI tools are said to be impartial, this is wrong. AI can be subject to systemic, statistical, and computational biases, as well as human biases. Although efforts have been made to reduce them, you should be aware of their presence.
The future of AI-powered research tools
Despite the current limitations, there may be AI-based tools in the near future that are more reliable and useful for those of us who carry out UX Research processes.
These must have the ability to accept contextual information, allow editing and correction by those involved, provide accurate references and process video information.
Although AI tools have an important role to play in the future of UX research, in the present it is essential to be critical of them and use them with care.
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