TLDR;
problem
The current way of doing async portfolio reviews is broken for feedback seekers (mostly junior designers) because they deal with scattered feedback, confusing low-context feedbacks and manual work of analyzing multiple feedbacks.
solution
Floop allows visual feedback annotation right on the website and hence reduces the low-context confusion for feedback seekers. It offers one place to organize and manage feedback. Moreover, encourages actionable feedback through guided questions.
impact
Helps feedback seekers manage and organize feedbacks 3x more efficiently.
my role
0->1 design (research + validate + visuals) of this tool, prototyped and implemented with Lovable.dev AI tools.
Tldr;
For feedback seeker
Confusing low-context feedback from reviewers
For feedback seeker
Scattered feedback across different channels




For reviewer
Screenshotting for context is tedious & time consuming
I have conducted user interviews with 20+ feedback seekers (early-career designers) and 10+ reviewers.
"
Over text, mentors gave 1–2 lines per question. For visuals, they’d say, 'This isn’t working,' but no screenshots.
~ Design student
"
Notes scatter across physical books/digital apps...I often forget feedback
~ Junior designer (2 years of experience)
Opportunity
An innovative way to do async portfolio reviews
Iteration 1 (with wireframes)
Feedback annotations solves the issue of location ambiguity in portfolio reviews. Annotation eliminates confusion about feedback placement because it enables direct commenting on specific interface elements. It also reduces time spent on clarification, creating a more efficient review experience for both reviewers and feedback seekers.
In the current system, feedback seeker has to do all the work of keeping all feedbacks in one doc or one figma or organize them, but f/oop automatically does that.
For feedback seeker
There needs to be a way to save comments that resonate with users
For feedback seeker
They want to see if their portfolio link was opened or not
For reviewer
They want to know what's the goal behind the portfolio review ask
Prototyped using Lovable after iteration 1
Iteration 2
This helps reviewers get an idea of what's the aim of feedback seeker when asking for portfolio reviews so that they can provide actionable feedback to them.
I wanted to see how Lovable thinks in terms of design, so I let it design and made improvements to it like color, typography, layout and interactions.
Feedback seekers wanted a way to have a place where they can store the feedback that has resonated with them, one place to make it super easy to search.
For feedback seeker
Users want to see comment with its context in the dashboard
For feedback seeker
When there are too many feedback, it becomes harder to go through all of them
For reviewer
They are doing all the work, but feels like not getting enough value
Iteration 3
Opening the dashboard should give them an idea of the overview and hence, a new dashboard
This is not AI summary, summaries always throws a lot of unwanted info to the users, but AI takeaways give them 3 actionable points to improve upon.
For feedback seeker
Seekers want to give feedback to their peers/friends
For reviewer
They are doing all the work, but feels like not getting enough value
For simplicity and length of this case study, skipping iteration 3, 4 & 5
For reviewer
Give autonomy to reviewers to create and share packages for portfolio reviews
For reviewer
Provide more qualitative and quantitative value to the reviewers
Floop won Most Innovative Idea at InnoQuest Innovation competition at Indiana University in April 2025.
It was also selected for top 100 projects in Lovable's hackathon.
Self reflection
Prototyping with Lovable was super fun and useful. I can't believe that I got MVP set up in 2 nights and 100 prompts. The way I got micro ideas to be implemented from the AI prototype was super useful.
Another reflection is, I learned how to showcase the value in terms of outcomes rather than just results. For example, junior designers get confidence through this tool rather than just feedbacks.













