Dollar Flip

Market Opportunity

Dollar Flip entered a crowded North American marketplace where established products already owned discovery, inventory, listing speed, or communication. Competing feature for feature would not create a meaningful reason to switch.

The opportunity sat at the moments immediately before action: sellers hesitated over price, while buyers questioned whether they knew enough to purchase responsibly. This created a differentiated product position around decision confidence—helping people move forward without taking control away from them.

Research Approach

I spoke with both sellers and buyers to understand where confidence broke down across the marketplace journey. Rather than asking users to evaluate feature ideas, I focused on the trade-offs, questions, and behaviors surrounding real decisions.

I paired interviews with competitive analysis, prototype testing, and task observation to connect what people said with the moments where they paused, revised, or sought more information.

Key Insights

Sellers were not simply looking for a price recommendation. They were balancing speed against value: price too high and an item might not sell; price too low and they might lose value.

Buyers experienced a different form of uncertainty. Even when a listing contained extensive details, they worried about overlooking something important or not knowing what else to ask. The shared need was not more information or more automation—it was greater confidence before taking action.

Product Vision

We reframed Dollar Flip as a marketplace that helps people make better decisions—not one that simply makes transactions faster. Decision confidence became the product lens for prioritizing what to build, how AI should participate, and which outcomes mattered.

The framework translated that promise into two complementary experiences: make pricing trade-offs easier for sellers to understand, and surface the questions that matter for buyers in a specific product context. It aligned two distinct journeys around one product principle while preserving user agency.

AI Principles

AI should clarify a decision rather than make it invisibly. Recommendations needed to explain meaningful options, preserve user control, and adapt to the goal behind the task.

For conversations, AI should strengthen human exchange—not replace it. Its role was to surface decision-critical questions at the right moment so buyers could start more focused and useful conversations.

Seller Opportunity

Sellers were trying to balance two competing outcomes: selling quickly and protecting value. The opportunity was to reduce the effort of evaluating that trade-off while preserving ownership of the final decision. This created a focused question for exploration: where could intelligent guidance add confidence without becoming the authority?

Research insightI don’t know if this price is fair.

Sellers balanced speed against value without a reliable reference point.

Design directionReduce seller decision load

Clarify pricing choices without making the decision for them.

Buyer Opportunity

Buyers faced a different decision problem. Information was available, but they often could not tell which details mattered for a specific product or what to ask next. The opportunity was to reduce that information gap by helping buyers focus on the context most relevant to their judgment.

Research insightI’m not sure which details matter.

Buyers needed more details and clearer product context.

Design directionReduce buyer information gaps

Surface relevant guidance at the moment of evaluation.

Seller Side

Buyer Side

Usability testing insight

“I wish I knew what to ask before buying.

Participant in a moderated usability test

Seller Experience

The seller journey prioritizes momentum without hiding trade-offs. Sellers create a lightweight listing, review AI-informed pricing strategies, choose the goal that fits their situation, and retain the ability to adjust the final price.

The interaction reduces guesswork while keeping ownership of the decision with the seller.

Buyer Experience

The buyer journey connects discovery, listing evaluation, guided conversation, and purchase. Instead of front-loading every possible detail, the experience progressively reveals what matters and introduces AI guidance at the moment a buyer needs to evaluate risk or ask a question.

This keeps browsing lightweight while making the transition from interest to informed action feel deliberate and supported.

Design System

I established a scalable visual and interaction foundation across seller and buyer workflows: color, typography, iconography, listing cards, navigation patterns, input states, and AI recommendation modules.

The system gave engineering reusable patterns, accelerated iteration across multiple marketplace scenarios, and ensured that AI-assisted moments felt like a coherent part of the product rather than isolated features.