Elektra Health
Product Management Internship
Summer 2025
The Problem
Elektra Health is a seed-stage women’s health startup delivering evidence-based menopause care through clinical care, education, and community.
Elektra’s patient booking flow had drop-off at a critical moment in the funnel. At the same time, key business data was scattered across multiple vendor systems, leaving the team without real-time visibility into bookings, capacity, and downstream funnel performance and forcing reliance on manual reporting.
At a seed-stage startup, every booked appointment matters. Without a clearer booking experience and reliable reporting infrastructure, the team could not effectively optimize growth and was spending too much time on manual reporting.
What I Did
During my PM internship at Elektra, I worked across two connected workstreams: informing a conversion-focused redesign of the patient booking flow, and building the company's first automated reporting infrastructure to give the team real-time visibility into operational and growth performance.
Workstream 1: Booking Flow Redesign
Informed a conversion-focused redesign of Elektra's patient booking experience to reduce friction, streamline scheduling, and improve conversion while preserving clinical and operational constraints.
Approach
- —Conducted UX analysis across 6 competitive healthcare booking flows, mapping workflows in Figma and benchmarking key friction points and design patterns.
- —Synthesized findings into prioritized redesign requirements and a testing plan to help the team validate performance over time.
- —Incorporated cross-functional stakeholder input across clinical ops, marketing, and engineering to shape the redesign and balance user, business, and operational needs.
What I Delivered
- —Competitive and stakeholder research synthesis to inform final booking flow wireframes.
- —A feature requirements and prioritization tracker for the redesigned booking experience.
- —A testing plan to support ongoing validation of conversion improvements.
Workstream 2: Data Infrastructure & Reporting
Led a data automation and reporting initiative to improve visibility into Elektra's operational and growth metrics.
Approach
- —Evaluated AWS vs. GCP tradeoffs to recommend a scalable cloud data strategy for centralized reporting.
- —Designed the end-to-end reporting workflow, pulling data from Elektra’s core vendor systems into BigQuery and structuring it for analysis.
- —Wrote SQL queries to transform raw data into reporting-ready datasets and designed Looker Studio dashboards to present key operational and growth metrics clearly.
What I Delivered
- —An established reporting infrastructure using GCP, BigQuery, and Looker Studio.
- —Automated SQL-driven Looker Studio dashboards that replaced weekly manual reporting for historical and future capacity and daily bookings.
- —Documentation, reporting guides, and team training to support ongoing maintenance and adoption.
Outcomes & Takeaways
- —The booking flow work gave the team a stronger research-backed foundation for a conversion-focused redesign.
- —The reporting initiative replaced repetitive manual reporting and improved visibility into bookings, capacity, and growth metrics.
- —The internship reinforced that at an early-stage healthcare startup, conversion improvements depend not just on UX, but also on the data infrastructure needed to measure and support them.
What I’d Do Next
- —A/B test the updated booking flow, measuring completion rate and time-to-book.
- —Expand the reporting pipeline to deepen visibility into clinical, growth, and retention metrics.