Objective: Assemble Outfits was envisioned as an innovative fashion tech startup aimed at revolutionizing how consumers purchase complete outfits online. The goal was to provide a seamless one-click shopping experience where users could buy entire outfits curated for them, eliminating the need for individual item selection.

Approach: As a co-founder, I worked closely with my partner, who was preparing to raise $500K in pre-seed funding. Before accepting a term sheet and finalizing the investment, we conducted in-depth market research and customer behavior analysis. We focused on understanding how customers interacted with the idea of one-click outfit purchasing, particularly concerning the potential for duplicate items in their wardrobe and the perceived value of the service.

Outcome: Our research revealed critical insights that led to a strategic pivot. We discovered that customers were hesitant to buy entire outfits due to the risk of duplicating items they already owned. Unlike stylist subscription services, where customers valued the expertise more than the outfits themselves, Assemble's model didn't align with consumer expectations or buying habits at the proposed price point. Armed with this information, we decided to halt the fundraising process, ultimately saving the company from a potentially flawed business model. This decision was well-received by our investors, who appreciated the data-driven approach to avoiding unnecessary financial risks and reallocating resources towards more viable opportunities.

Lessons Learned: This experience underscored the importance of validating core business assumptions early in the development process. It also highlighted the value of being willing to pivot based on customer feedback and market realities, ensuring that resources are invested in ventures with a clear path to success.