Bioprocess Tool
Context:
Who: As one of the Lead Designers on this new product, I collaborated closely with a team of designers, PMs, and engineers to build a new bioprocess tool targeting enterprise customers. I designed many features within this new tool with my core focus being data entry for scientific operator users.
What: Bioprocess tool for enterprise scientists and their team.
When: In 2024, we launched an MVP of the tool, securing three new enterprise customers.
Our team traditionally focused on ELN mid market customers, but enterprise companies presented a new opportunity. This segment, however, demanded highly specialized solutions that could compete with outdated, unusable software and Excel—the de facto tools for many teams.
Problem
Outdated tools: Many relied on Excel or antiquated, rigid software that wasn’t designed for collaborative workflows or bioprocess-specific needs.
Fragmented data: Teams had to jump between disparate tools, losing time and risking errors when aggregating data across experiments.
Scalability issues: Existing tools were inadequate for managing the increasing complexity of modern bioprocessing workflows, including parameter optimization, batch tracking, and data analysis.
Why was it important to solve this?
Breaking into the enterprise bioprocess market was critical for three reasons:
Unmet Market Need: Existing tools weren’t keeping up with the sophistication and scale of enterprise-level bioprocessing. This represented a significant gap—and opportunity—for our product.
Customer Demand: We saw strong signals from enterprise prospects interested in a more modern, scalable, and user-friendly alternative.
Strategic Growth: Expanding into enterprise companies would drive revenue, validate our product in new segments, and future-proof our roadmap by ensuring we could scale beyond midmarket customers.
Solution
We designed a new bioprocess tool offering a focused out-of-the-box solution for lead scientists, operators, admins, and biostatisticians built around three core tenets:
Efficiency: Simplifies bioprocess complexity with a flexible data model and clear, structured interface to streamline workflows.
Accuracy: Automatically handles the heavy lifting of aggregating experiment data—delivering the key value of running experiments—and creates a dedicated space for scientists to conduct their analysis with confidence.
Flexibility: Features dynamic, customizable templates that adapt to diverse workflows and scale with evolving enterprise needs.
Impact
Customer Wins: Within six months of shipping the MVP, we secured three new customers, proving the tool’s value in the market.
Market Expansion: Successfully positioned the company as a viable competitor in the enterprise segment, a critical step toward future growth.
What’s next?
Product Improvements: Customer feedback post-launch highlighted several enterprise level deal-blocking gaps, which we prioritized to further solidify our product-market fit.
This project marked a turning point for our company’s evolution, proving that with user-centered design, we could bridge the gap between midmarket ELN tools and enterprise-grade solutions.