2026
Closing the Feedback Loop for Retail Excellence.
Small Data Tweaks, Huge Operational Impacts.
Due to high customer churn and stagnant ratings in the retail and F&B sectors, I led the design of FMS to improve how business owners perceive and react to reviews. By focusing on Product Thinking, Actionability, and ROI transparency, we shifted the focus from "reading reviews" to "closing the loop."
This project resulted in:
+28% Increase in monthly operational task completion (Closing the Gap).
+14.5% Growth in positive sentiment within 30 days of action.
-18% Reduction in Estimated Revenue Risk through proactive alerts.
Client
2026
Timeline
4 Weeks
Role
Frontend Engineer & UI/UX Designer
Service(s)
UX Audit, Product Thinking, Neural Engine Logic, Actionable Insight.
Project goals
The Era of Actionless Data
Most cafe and restaurant owners feel overwhelmed by Google Maps reviews. They see the stars dropping, but they lack a clear "GPS" to tell them exactly what to fix and how to measure success.
The Initial Context:
Owners spend average 4 hours a week manually reading reviews, yet 60% of reported issues go unfixed because they are buried in text. This lack of response leads to "Silent Churn," where customers leave without the owner knowing why.
The following storyboard captures a real frustration faced by the people we are designing for.
Processs Thinking
The Era of Actionless Data
Most cafe and restaurant owners feel overwhelmed by Google Maps reviews. They see the stars dropping, but they lack a clear "GPS" to tell them exactly what to fix and how to measure success.
The Initial Context:
Owners spend average 4 hours a week manually reading reviews, yet 60% of reported issues go unfixed because they are buried in text. This lack of response leads to "Silent Churn," where customers leave without the owner knowing why.
The following storyboard captures a real frustration faced by the people we are designing for.
Result
We built 3 pillar solutions within the interface to solve the identified pain points:
1. Diagnostic Hub (Pain Point Matrix):
Instead of a list of reviews, we created a Frequency vs. Negativity Matrix. This allowed owners to see "Crisis Zones" at a glance identifying that "Cold Coffee" was hurting business more than "Old Interior."
2. The Neural Strategy Agent:
A swipe-able card interface that summarizes member feedback into a Strategic Action. No more guessing the AI suggests: "Review staff shifting during rush hour to reduce wait-time sentiment by 20%."
3. Impact Velocity Tracking:
The heart of the system. We designed a timeline that logs management actions (e.g., "Hired new cleaning vendor") and monitors the recovery speed of customer sentiment on a real-time graph.
To validate these designs, we ran an A/B test with 10 pilot retail outlets. The new design results were:
92% Management satisfaction on "Clarity of Action."
Avg. 3.5 days recovery time to move a category from "Crisis" to "Steady" using our Impact Tracker.
-20% reduction in "Management Fatigue" by automating the summarization process.
More works
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