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Development of a Scalable Chatbot and Custom CRM System for Mental Health Support in Crisis Contexts
  1. case
  2. Development of a Scalable Chatbot and Custom CRM System for Mental Health Support in Crisis Contexts

Development of a Scalable Chatbot and Custom CRM System for Mental Health Support in Crisis Contexts

lionwood.software
Non-profit
Medical

Challenges in Managing Scalable Mental Health Support Platforms

The client experienced growth in their digital mental health assistance platform, comprising a chatbot and workflow management system, which faced limitations with existing off-the-shelf CRM tools and chatbot logic. The current systems could not effectively prioritize urgent inquiries, manage diverse help scenarios, or provide real-time data dashboards, thereby reducing operational efficiency and user satisfaction. Scaling the platform to accommodate increasing user demand and complex workflows required a bespoke, integrated solution.

About the Client

A mid-sized non-profit organization specializing in mental health services, operating in a crisis-affected region, seeking to enhance their digital support platform for vulnerable youth populations.

Goals for Developing a Tailored Chatbot and CRM Solution

  • Implement an advanced chatbot capable of handling multiple help scenarios to reduce the workload on mental health professionals.
  • Design and develop a custom CRM system from scratch to support workflows involving inquiry prioritization, role-based permissions, and data management.
  • Integrate real-time dashboards for chat monitoring, user data, and campaign analytics.
  • Add targeted mass communication features for outreach and engagement campaigns.
  • Establish user roles and permissions aligned with privacy regulations and data policies.
  • Enable efficient prioritization of user inquiries to ensure assistance for the most at-risk populations.
  • Build a flexible, scalable platform capable of supporting future growth and additional features.

Core Functionalities and Features Specification

  • Multi-branch chatbot logic to handle diverse help requests and offer resource provision or escalation pathways.
  • Custom CRM tailored for mental health inquiry management, including ranking, assignment, and tracking of user requests.
  • Role-based user permissions for administrators, psychologists, and other support staff.
  • Real-time dashboards displaying active chats, workload metrics, and campaign performance.
  • Campaign creation and targeting functionalities for mass outreach.
  • Inquiry prioritization mechanisms to ensure immediate attention to high-risk cases.
  • Flexible modules allowing scalability and integration with future tools and services.

Preferred Technologies and Architectural Approaches

Node.js for backend development
React.js for frontend dashboards
Modern web application architecture supporting scalability

Key External System Integrations

  • Messaging platform APIs (e.g., Telegram, WhatsApp) for chatbot deployment
  • Database systems for data persistence and management
  • Analytics tools for real-time reporting
  • Campaign management platforms or email/SMS gateways

Critical Non-Functional System Requirements

  • System must support a high volume of concurrent users with minimal latency.
  • Data security and privacy must comply with relevant regulations, including anonymization and role-based access.
  • Platform should be scalable to accommodate future growth in user base and features.
  • Availability target of 99.9% uptime to ensure continuous support.
  • Responsive interface suitable for both desktop and mobile access.

Expected Business Impact and Benefits

The bespoke platform aims to significantly improve operational efficiency, enabling timely response to at-risk individuals through effective prioritization and supporting a higher volume of inquiries without burnout among support staff. Anticipated outcomes include improved user satisfaction rates, aiming for a measurable increase in positive feedback, and enhanced campaign outreach effectiveness. The scalable system is expected to support ongoing growth and adaptation to future crisis support needs.

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