See the Signal. Seize the Opportunity.
Turning Marketplace Signals Into Confident Action
My Role
By combining AI-driven insights with rapid design iteration, I transformed a cluttered dashboard into a clear, scannable experience — surfacing critical information so users can quickly identify and resolve operational friction.
Problem
Operations, merchant success, and finance teams share the same marketplace data, but each team’s critical signals sit buried in cluttered, one-size-fits-all reporting. By the time an issue surfaces, it has already cost time, revenue, or merchant trust.
This self-initiated concept explores how one dashboard could put the right signal in front of the right person at the right moment — and turn it directly into action.
Personas and Jobs-to-Be-Done
Marketplace Operations Manager
Main Job
Keep the marketplace balanced in real time
Primary Dashboard Need
See where demand, Dasher supply, and delivery reliability are breaking
Friction Point
Too much data, slow loading, unclear root cause
Merchant Success Manager
Main Job
Improve merchant/store performance
Primary Dashboard Need
Identify merchants causing delays, refunds, cancellations, or missing items
Friction Point
Merchant issues buried in broad dashboards, weak storytelling
Growth, Promotions & Finance Analyst
Main Job
Evaluate growth efficiency and profitability
Primary Dashboard Need
Understand whether promos and incentives create profitable lift
Friction Point
Hard to connect growth metrics, margin, incrementality, and cost
AI-Assisted Workflow
I used an end-to-end AI-assisted workflow — from ChatGPT-structured discovery through Figma iteration and Claude Code prototyping — to shape the design strategy, accelerate iteration, and turn scattered signals into a clear, actionable dashboard experience.
Discovery
Priority + Action Operating System
Connects planning, variance, action, and outcome.
Decision Brief Dashboard
Turns data into a clear business story and decision path.
Role-Based Mission Control
Gives each user a dashboard designed around their job.
Things I Did:
- By combining the personas' pain points and jobs-to-be-done with the strongest ideas from the discovery phase, I created a cleaner, more scannable dashboard homepage that highlights the day's most important issues requiring the user's attention.
- Once users select an issue, the AI quickly summarizes its cause, then guides them through a step-by-step resolution process — acting as a collaborator to help solve the problem efficiently and effectively.
