Completed Arts, Culture & Design Education & Skills

PassioneerMatch: Revolutionising Volunteer Matching

In plain English

AI plain-English summary

Charities can now swipe right on volunteers, using a digital matching platform that flips the traditional recruitment model on its head. Most volunteer platforms require individuals to search through endless listings. This puts the burden on charities—many of which lack the staff or confidence to actively recruit—to wait passively for help. PassioneerMatch, built by the social enterprise Make Good Grow, works like a dating app for the third sector. Charities proactively reach out to “Passioneers” (business volunteers) whose skills, interests, and availability match their needs. A vetting process and filtering tools—including restricted giving options—ensure that connections are relevant and sustainable. If the platform succeeds, it could shorten the time between a charity identifying a need and finding the right volunteer to fill it. That would accelerate delivery of services, from food banks to community arts programmes. The app also creates a space for creative professionals to offer their work to charities, sometimes leading to paid commissions. By making volunteer matching faster and more targeted, PassioneerMatch aims to increase the total pool of engaged volunteers and reduce the administrative drag that discourages charities from seeking help.

View original technical description
At Make Good Grow (MGG), we believe the challenge isn't finding passionate individuals eager to give back but keeping them engaged with diverse, meaningful opportunities. Many charities hesitate to seek support due to limited resources or fear of rejection. Our solution, _PassioneerMatch_, is an innovative digital 'dating app' designed to transform how charities and volunteers connect. Described as a "Tinder for Charities," it enables charities to proactively find and engage business volunteers, or "Passioneers." This approach flips the traditional model, where volunteers search for charities, by empowering charities to reach out directly. The platform offers an intuitive, interactive experience, leveraging cutting-edge matching algorithms and user-friendly design. Key features include skill and interest filtering, as well as restricted giving options, allowing Passioneers to support causes they are passionate about. This streamlines the process, making it faster and easier for volunteers to find fulfilling opportunities and for charities to secure the support they need. Unlike the few traditional platforms available, which require users to sift through endless listings, PassioneerMatch provides curated suggestions for ideal matches. A thorough vetting process aligns charities' needs with volunteers' interests, creating impactful and sustainable connections for both parties. **This project will have far-reaching benefits for the community:** Faster Connections: By shortening the time it takes for charities and businesses to find each other, we aim to accelerate the delivery of vital services and ultimately maximise social impact. Enhanced Accessibility: The platform will provide an easy-to-navigate space where charities can post their needs, and Passioneers can post what they are able to offer based on their timescale and values. Enhances Creative Outreach: The app will enable creatives to thrive economically, and allow them to showcase their products and services to support charities, fostering valuable relationships. At MGG, we've seen projects initially done for free lead to further paid work, helping creatives build long-term connections while contributing to social good. This app is more than just a tool; it is a creative digital experience that enhances collaboration in both the third sector and the creative sector. With its innovative approach, PassioneerMatch will revolutionise how volunteering opportunities are discovered and fulfilled, setting a new standard for digital engagement in the charity sector.

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Original classification

Grant for R&D

Plain English summaries and category classifications on this site are generated by AI and may not perfectly reflect the original research.