Feel Your Boobies

A data pipeline designed to implement a lightweight Customer Relationship Management (CRM) system tailored for non-profit organizations.

Background

Due to the unique operations of non-profit organizations, existing CRM platforms could not achieve the specified requirements of Feel Your Boobies without enourmous upfront cost or significant resources dedicated to customization. The team at Mighty decided to implement a CRM built from scratch which manages all data pipelines and third party integrations. By using this approach, Feel Your Boobies could continue their work without disruption while Mighty manages data in a cost effective platform that can evolve to changing needs with low organizational overhead.

Problem

Traditional CRM systems are often built to serve a wide range of businesses, from small startups to large enterprises. While this broad functionality is beneficial for many companies, it can create significant challenges for smaller organizations, especially non-profits, where simplicity, ease of use, and cost-effectiveness are crucial. Integrations can also become a bottleneck as the time and maintinance required to keep data operational is often unnecessary for niche clients. Training resources and inflexible data structures can also cause traditional systems to be completely unusable in practical workflows.

Solution

A custom simpler CRM can be tailored to include only the features that are essential for a non-profit, such as donor management, volunteer tracking, and event coordination. By focusing on these core needs, the system remains intuitive and user-friendly, reducing the learning curve for staff and volunteers. The simplified process also lowers the barrier of entry for unique integrations which are usually specific to niche industries, such as non-profits.

For Feel Your Boobies, the effectiveness of a simple CRM reduced complexity and increased action. This project emphasizes the results that can be seen by focusing on the day to day usage an organization faces rather than forcing a generalized platform into an already functioning workflow.