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Development of an Automated Donor Engagement Chatbot for Non-Profit Fundraising
  1. case
  2. Development of an Automated Donor Engagement Chatbot for Non-Profit Fundraising

Development of an Automated Donor Engagement Chatbot for Non-Profit Fundraising

netguru.com
Non-profit

Identified Challenges in Digital Communication and Volunteer Support

The organization faces high volumes of online inquiries related to fundraising, volunteer sign-up, and event updates, especially during large-scale fundraising campaigns. Manual responses are time-consuming, lead to delays, and strain volunteer resources, risking decreased social trust and engagement. Additionally, there is a need to prevent offensive language and abusive messages to protect volunteers and maintain a positive community image.

About the Client

A large, well-established non-profit organization specializing in pediatric healthcare fundraising, with a significant online presence and volunteer network.

Goals for Enhancing Digital Donor and Volunteer Communication

  • Automate the response to recurring donor and volunteer inquiries to improve response times.
  • Increase efficiency of volunteer support during major fundraising campaigns.
  • Reduce manual workload on communication teams, freeing volunteers to handle non-standard queries.
  • Implement a solution capable of processing a significant portion (targeting 80%) of online interactions automatically.
  • Ensure platform security by filtering offensive language and preventing abuse.
  • Deliver the project within a tight timeframe to support upcoming major campaigns.

Core Functional Capabilities for Online Engagement Automation

  • Integration with popular messaging platforms (e.g., Messenger, WhatsApp) to facilitate direct communication with supporters.
  • Natural language processing to understand and respond to a variety of questions about the organization’s goals, processes, and activities.
  • Automation of responses to around 100 distinct queries related to donations, volunteering, event scheduling, and campaign progress.
  • Mechanism for filtering offensive or abusive language to protect volunteers and maintain community standards.
  • Real-time analytics and reporting dashboard for monitoring conversation volumes, common queries, and system performance.
  • User-friendly interface for volunteers to review automated interactions and intervene when necessary.
  • Serverless backend architecture to ensure scalability and quick deployment.

Technology Stack and Architectural Preferences

Cloud-based serverless infrastructure (e.g., Google Cloud Platform or equivalent) for scalability and quick deployment
Natural Language Processing (NLP) tools for understanding and generating human-like responses
Chatbot development frameworks that support integration with multiple messaging platforms
Secure data handling and compliance with data privacy standards

Essential External System Integrations

  • Messaging platforms (Messenger, WhatsApp, or similar chat services)
  • Donation tracking and management systems to update campaign status
  • Volunteer registration and database systems
  • Language filtering and moderation tools

Non-Functional System Performance and Security Criteria

  • System should process up to 80% of online queries automatically during high-volume periods
  • Response time for automated replies should be under 2 seconds
  • Scalability to handle peak campaign volumes often reaching thousands of simultaneous conversations
  • Robust offensive language filtering to prevent abuse, ensuring volunteer safety
  • High availability with 99.9% uptime to support continuous support during campaigns

Projected Business Benefits and Efficiency Gains

By implementing the automated chatbot system, the organization aims to significantly reduce response times, with targeted automation covering 80% of inquiries during major campaigns. This will enhance supporter engagement, streamline volunteer workflows, and strengthen social trust, ultimately boosting fundraising efficiency and campaign success.

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