The Problem
The U.S. healthcare system is fragmented, making it difficult for organizations to generate aggregate and provider-level insights. Komodo's Map cleans and processes this data, but a scalable software solution was needed to empower users with direct access to insights.
As the Senior Product Manager, I led the development of MapLab, ensuring that both technical and non-technical users could leverage Komodo's healthcare data without extensive coding knowledge. This initiative resulted in a self-service analytics product that streamlined workflows, reduced time-to-insight, and generated 7-figure revenue within its first quarter.
Goals
- 📊 Enable self-service analytics for users with varying levels of technical expertise
- ⏳ Reduce workflow complexity and time-to-insight
- 🚀 Drive adoption and engagement through a user-friendly and scalable solution
Development Timeline
- Problem Identification — Conducted extensive user research to pinpoint barriers to healthcare data accessibility
- Research & Strategy — Assessed competitor solutions and designed a differentiated, user-centric approach
- Overcoming Roadblocks — Addressed technical challenges like scalability, query optimization, and UI/UX improvements
- Go-To-Market Strategy — Collaborated with sales, marketing, and customer success teams to drive adoption
Challenges & Solutions
| Challenge | Solution |
|---|---|
| Users who lacked coding expertise could not access the data they needed | No-code dataset creation and custom visualization |
| There was friction in data exploration and visualization as most users were using Excel for these activities, which cannot handle millions of rows gracefully | Intuitive UI with drag-and-drop tools that users were accustomed to, with recommended highly used charts |
| The amount of data users were querying could be 300M+ rows, which caused slow workflows | Customizable outputs that decrease run-times, as many users only needed a slice of the data rather than all of it |
The Product
MapLab is a single, collaborative platform that empowers both business and technical users to generate and act on healthcare insights with unprecedented speed and efficiency. Users can create dashboards through no-code Templates or can create custom or reusable analytics to solve unique business cases and problems in a high-code environment.
Additional Features Launched
- 🔐 Sharing — Built-in sharing for seamless and safe collaboration across teams. One dataset could back multiple dashboards, so we had to manage both sharing access and user control over needed resources.
- 🔄 Automated Data Refreshes — Eliminated manual updates by enabling automatic data refreshes for up-to-date insights, identified through research and customer feedback.
- 📤 Flexible Data Exports — Allowed teams to extract and integrate datasets directly into their own infrastructure, in response to feedback after the initial MVP launch.
Failures & Lessons Learned
- ⚖️ Balancing Perfection with Agility — Design seeks seamless aesthetics, QA demands zero defects, and Engineering wants scale. We made tough calls, shifting tasks from launch to Post-MVP to ensure value delivery on time.
- 🔗 Managing Dependencies Proactively — Cross-team dependencies halted features and hurt velocity. We refined our products multiple times to ensure no single team became a bottleneck.
- ⏳ Release Timelines Can Be a Moving Target — Dates matter for GTM and Sales readiness, but rigid deadlines without feasibility checks can backfire — causing burnout and updated resumes if mismanaged.
- 🔄 And Then What? — Getting access to the data was not enough; customers needed customization of those datasets for the feature to truly sing. This helped us develop and reinforce our roadmap.