Design a Therapy Matching Marketplace

Quick Overview

This question evaluates backend system design competency including API design, data modeling, booking consistency, real-time availability handling, search and ranking strategies, scalability trade-offs, and privacy/compliance considerations for sensitive health data.

Design a Therapy Matching Marketplace

Company: Mavenclinic

Role: Backend Engineer

Category: System Design

Difficulty: medium

Interview Round: Onsite

Design the backend for a marketplace that matches patients with therapists. The platform should support: - Patients searching for therapists by specialty, insurance, location, language, modality, price, and availability. - Therapist profile pages with credentials, specialties, ratings, session types, and accepted insurance. - Real-time or near-real-time appointment slot availability. - Booking, cancellation, waitlists, and reminders. - Ranking the most relevant therapists for a patient. - Preventing double booking and handling stale availability. - Region and licensure constraints for therapists. Discuss the API design, core services, data model, search and ranking strategy, booking consistency model, privacy and compliance considerations for sensitive health data, scaling approach, and key trade-offs.

Overview: This question evaluates backend system design competency including API design, data modeling, booking consistency, real-time availability handling, search and ranking strategies, scalability trade-offs, and privacy/compliance considerations for sensitive health data.

|Home/System Design/Mavenclinic
Mavenclinic logo
Mavenclinic
Jan 13, 2026
mediumBackend EngineerOnsiteSystem Design
3
0

Design the backend for a marketplace that matches patients with therapists.

The platform should support:

  • Patients searching for therapists by specialty, insurance, location, language, modality, price, and availability.
  • Therapist profile pages with credentials, specialties, ratings, session types, and accepted insurance.
  • Real-time or near-real-time appointment slot availability.
  • Booking, cancellation, waitlists, and reminders.
  • Ranking the most relevant therapists for a patient.
  • Preventing double booking and handling stale availability.
  • Region and licensure constraints for therapists.

Discuss the API design, core services, data model, search and ranking strategy, booking consistency model, privacy and compliance considerations for sensitive health data, scaling approach, and key trade-offs.

Submit Your Answer to Earn 20XP

Sign in to leave a comment

Loading comments...