Keeping It Super Simple. Organize the feedback into objectives. The smarter the better ;-) Itemize and prioritize the work against current objectives. Ensure all understand the current state of objectives, inclusive of defined measurable key results for each objective. Sharing is caring! Rinse and Repeat.

As I often say, feedback should inform our decisions but not dictate them. While user feedback is invaluable, I recommend validating it with a close team of UX experts. As experts, you know, which feedbacks should influence the IA design to maintain the right balance between business goals and user needs. Few tips :- Categorize feedback based on its urgency and relevance to the core tasks and goals of the project. High-impact feedback—such as issues related to navigation, content organization, or user flow—takes priority. Try to balance quick wins (small adjustments that provide significant improvements).

LinkedIn is training its AI to replace us. And using these questions for its dataset. Isn’t it obvious? I refuse to participate in this ridiculous charade!!!

Understanding that design is ever evolving is key. Looking at what will be the most impactful shorterm improvemnt to make in the IA should be first assessed. Changing IA is a big impact and needs more considerations than a deadline. Making an IA change can be done smart and yet efficiently if key indicators are known to help prioritise parts of the IA that are most impactful

Tight project deadlines? Doesn't sound like a project that truly values user feedback or UX research. This is a problem. I'd be wary of any project with 'tight deadlines'. If UX is truly valued, the project deadline should reflect time to obtain user feedback in a calm, considered way.