Welcome to the world of UX! The very act of designing is about trade-offs which means that we can never design IA that will make everyone happy. I am looking forward to a future where AI can generate IA on-the-fly personalised to each and every user. From my experience, if the IA you designed is rigorously based on user research but the client pushes back then it is highly likely the client and the user have different ways of organising, classifying or labelling information. What is 'logical' to the user, seems 'illogical' to the client. If your client is committed to being user-centric, use your research to show them that their users find the IA intuitive. If they are not... it is what it is.

Sometimes, clients envision an IA that doesn’t quite align with what’s best for their users. This is where we can bridge the gap by demonstrating the "why" behind our choices showing tangible user insights. And yes, it’s a dance between staying flexible and standing firm on what’s best for the users. But the goal should be to give IA the room to grow from each round of feedback, always with the user in mind.

Understanding the expectation of the client is key thing here. Whether created by AI or Human, design is subjective and likings are based on individual's visualization. So the only way to solve is collaborate with client and give iterative updates by addressing each feedback given by client.

Engaging deeply with all stakeholders, internal and external, enriches the design process. Utilize feedback loops and adapt your approach based on insights gained from various perspectives. Share your successes and challenges with your team to foster collective growth. Each project serves as a learning opportunity—learn what techniques resonate with your clients and refine your methods accordingly.

IA is a tool. Like any tool, you need to first consider what you’re going to use it for. Actually, I would say that clients expect a specific outcome, not the IA design itself. They might not mind the IA design at all. So if this question is asked, you have a different problem at hand.

As far as I've experienced, to address customer concerns with IA design, clarify their needs, examine user data, and adjust structure to better and more comprehensive customer goals and user needs.

- Conduct user interviews: Engage directly with users to gather insights on their needs and pain points, ensuring the design aligns with their expectations. - Iterate based on feedback: Regularly present prototypes to the client, encouraging their input to refine the IA design iteratively. - Utilize card sorting: Implement card sorting exercises to understand user priorities and preferences, informing a more intuitive structure. - Define clear goals: Align the IA design with specific project goals and user outcomes, ensuring that the design serves both user needs and client expectations. - Collaborate closely with stakeholders: Maintain open communication with clients, sharing progress updates and incorporating their feedback

Adapting should not be the only way. Maybe it’s time to end working for this client. If you are 100% sure that the outcome of your work is the right and beneficial one for the client, stop adapting. Check your budget and find another client to replace this one.

Importante entender que Ia é uma forma de solução para um problema, seja este de processo, experiência etc. Sendo assim, saber exatamente os elementos que precisam ser atacados e os dispositivos necessários para isso, direcionam o que de fato é necessário da Ia. Tecnologia precisa ter uma função e resolver um problema para mexer o resultado objetivado