How Vintage Vibes scaled volunteer operations without scaling headcount.

You are looking at the numbers, and they should be good news. Referrals are up. Volunteer sign-ups are up, too. But the team is still behind. 

Maybe it comes up in a team meeting, or in a catch-up with your service manager or CEO. The conversation starts with growth, then drifts into delay. Why are beneficiaries still waiting? Why does every new referral seem to create more pressure instead of more progress? Why does a bigger volunteer pipeline not seem to make the service move faster? 

This is for the moment you start to realise the problem may not be volume at all. It may be what happens between a volunteer signing up and a beneficiary receiving the service they were promised.

Vintage Vibes was founded in 2015 with the goal of reducing loneliness and isolation among older people in Edinburgh. The organisation matches volunteers with people aged over 60 based on shared interests and provides ongoing support to nurture these friendships.

While the model is simple to describe, its execution is much more complex. Each match involves onboarding, profiling, coordination, monitoring, and continuous support, with many relationships lasting for years. As Vintage Vibes expanded, so did the number of elements required to maintain these connections.

In its initial years, Vintage Vibes relied on spreadsheets. This approach was manageable at first when the organisation was relatively small. However, as the number of volunteers increased, new postcode areas were added, and more events and groups were introduced, making the spreadsheet system increasingly unsustainable. This change did not happen overnight; rather, challenges slowly accumulated, eventually becoming evident in reporting, monitoring, and funding applications.

This was occurring within a broader context that was becoming increasingly challenging. Data from NCVO indicates that formal volunteering rates have not yet returned to pre-pandemic levels. This poses a structural challenge, especially for smaller charities, as they find themselves competing for volunteers in a tighter market, often against larger, better-resourced organisations.

Against this backdrop, Vintage Vibes experienced a remarkable 165% increase in volunteer recruitment in the six months leading up to March 2024. During the 2023/24 period, the team supported 171 active matches, engaged 234 VIPs, and recruited 236 volunteers, contributing a total of 5,623 hours of volunteer service throughout the year.

These numbers are significant not only because they are substantial for a small team, but also because they highlight something more important: Vintage Vibes wasn’t just increasing its recruitment efforts; it was also building sufficient operational capacity to ensure that its growth did not outpace the team’s ability to deliver.

The main issue was with the spreadsheets. Onboarding processes were slow, requiring data to be entered multiple times. Tracking information was difficult to do consistently, and when mistakes occurred, the repercussions were felt in monitoring, reporting, and funding applications. 

However, there was a more significant problem.

As the organisation grew, the administrative costs associated with growth did not decrease as one would expect at scale; instead, they were rising with coordination costs compounding, almost one unit at a time. It is a pattern many matched volunteer services would recognise, and it leads to new matches generating more onboarding, more communication, more record-keeping, and a slower system as volume rises. It is often the first indication that the operating model is under strain.

Before the new system, what Vintage Vibes recorded was largely determined by what funders had asked for. Everything else, including how many people attended events, went unrecorded. This approach reflects a passive evidencing model, in which organisations record only what is asked of them, missing other important data. Many volunteer-led charities operate this way without fully recognising it as a conscious choice.

Events present a specific challenge for charities. While attendance is easily measurable and often recorded, the changes or impacts experienced by attendees are much harder to capture, leading to frequent omissions in reporting. As a result, charities typically provide strong evidence of their activities but weaker evidence of their impact. This situation isn't necessarily due to charities measuring the wrong things; rather, it occurs because their reporting aligns more with what funders request rather than with the organisation's reality, as explored in the Barnardo’s case study. Most charities only become aware of this once a better system makes the missing impact measures impossible to ignore. 

But the Vintage Vibes story adds complexity to the typical relationship between funders and charities. Eventually, when a funder enquired about event attendance, it didn’t create a burden; instead, it highlighted information that the charity could use to its advantage. This insight allowed Vintage Vibes to reframe its offerings, explore new funding opportunities, and present itself differently.

Funder enquiries can reveal insights about a charity that it may not have previously identified, as long as the organisation has the systems in place to act on these findings. 

The infrastructure question at Vintage Vibes became more pressing when referrers told the team that city-wide referrals could push demand to nearly 2,000 per week, which was around 10 times their then-capacity. 

If you doubled your matches overnight, what would break first? Your recruitment, or the infrastructure supporting it? 

At that point, the bottleneck was no longer simply the willingness of volunteers; it was the overhead needed to transform volunteer interest into a supported, trackable, high-quality service. 

And this is where the operational question became a strategic one: Can a befriending service that supports 171 matches still feel like a community-based initiative if it is now supporting 2,000 matches? That changes the funding landscape, increases the reporting burden, heightens scrutiny, and raises questions about what kind of organisation is needed to carry that scale responsibly.

Vintage Vibes first implemented the Supercharge Project, a targeted initiative to reverse the overall decline in volunteer recruitment. The team adjusted their outreach approach, tested new communication channels, and significantly increased volunteer sign-ups.

The second project was focused on operations. Vintage Vibes spent nearly a year evaluating various CRM systems before finalising their choice. The off-the-shelf options didn't fit their needs well, primarily because Vintage Vibes operated as a partnership between two charities rather than as an independently registered organisation. Their stakeholder model was unique, which meant that many recommended systems would have required cumbersome workarounds. 

As well as addressing any weak areas, the goal was to create a comprehensive platform that accurately reflected their operational needs. They required a single record per person that could accommodate multiple relationship types, with built-in impact tracking and funder reporting. They decided against using separate tools for different functions. The aim was to reduce the burden across the whole service, and not just fix one bottleneck.

The onboarding time for new staff dropped from several weeks to a couple of half-days. Supervisors also spent less time fielding coordination questions and more time focusing on their work. As a result, managing the 165% increase in recruitment became feasible because the administrative burden associated with each friend match had reduced.

But the shift that had the biggest impact was strategic. Before the new system, Vintage Vibes did not track event attendance because funders had not requested this information, and it had not seemed particularly important. Once the data began to be recorded consistently, the team realised it provided a clearer picture of the organisation's reach. As Operations Manager Andrew Ainsworth noted, "We're able to say that actually, we're supporting a far wider number of people. And that has enabled us to reframe our offering for funding and attract funding for areas we've not been funded for before." 

Stronger infrastructure does more than make existing work more efficient. Vintage Vibes had always run events. It had always supported more people than its matches alone suggested. The system did not create new reach, but it changed what Vintage Vibes could prove.

First, the system matched the shape of the work. In a befriending service, one person may take on multiple roles simultaneously. For instance, a volunteer might also attend events, make donations, or be part of a broader support network. Similarly, a VIP may have several interconnected relationships that need to be tracked individually yet understood collectively. The single-record structure was essential because it reflected the service's operational reality. This is what removed duplication and reduced the drain on coordinator time. By mapping the data structure to the operational model rather than the software's default logic, duplication became significantly less likely by design. 

Second, the sequencing was intentional, with recruitment growth and CRM consolidation occurring in parallel instead of one after the other. This allowed Vintage Vibes to build the coordination capacity to absorb additional volume without the backlog, confusion, and fragility that a sequentially ordered process would have produced.

The tool worked because it was chosen to fit the organisation's service model and introduced early enough to support ongoing growth.

Improved coordination infrastructure enhances output but does not guarantee matching quality. With 171 active matches, the relationship between the coordinator's judgment and match success remains manageable on a human scale. However, as the number of matches increases to 500 or 1,000, the dynamics change. The focus shifts from ensuring the system can process individuals quickly to determining whether it can provide sufficient information about each person to support consistent and effective matching decisions at scale.  

There is also an underlying limitation to consider: the coordinators' capacity. If the team cannot keep up with the volume of coordination required, relying on better software complicates the problem. While improvements may raise the capacity ceiling, they do not remove the challenge.

Vintage Vibes became an independent Scottish Charitable Incorporated Organisation in February 2025, separating from its parent charities after a decade as a partnership project. That brings different governance expectations, funding relationships, and reporting obligations. Infrastructure built for one organisational form sits precariously under another. A system designed around the complexities of a partnership may not hold up when the legal structure, funding relationships, and reporting obligations all change at once. 

Vintage Vibes built its coordination infrastructure around a single integrated platform. These are the components that made the difference and what each one changed in practice. The timesheet function is inferred from the scope of the implementation.

Vintage Vibes estimates, based on referrer conversations in 2024, that opening city-wide referrals could generate close to 2,000 in a week. In one sense, this is a story about coordination infrastructure working exactly as it should. In another, it raises more challenging questions about what kind of organisation Vintage Vibes is now positioned to become. 

A small team can now achieve more with less friction. However, there comes a point when scaling up stops being a systems issue and becomes a matter of judgment, quality, funding, and identity. What type of organisation do you need to become to handle that change effectively? And, what must you protect to ensure that growth does not hollow out the very things that originally made the service successful?

There is a more challenging question to consider. Improved infrastructure has allowed Vintage Vibes to demonstrate its impact - event attendance is now trackable, outreach is more tangible, and funding opportunities have increased. However, attendance is still just a measure of activity. The real question is whether the infrastructure they have built will ultimately enable more effective measurement of impact. For example, understanding what changes occurred for a VIP due to a friendship, and not just the number of hours logged. This is a question that their data strategy has yet to address. Most volunteer-led charities struggle to reach this level of evaluation. The existing model of passive evidence-gathering is often deeply ingrained, and too few funders are seeking more meaningful insights. 

There is also a question that the source case study does not address. When Vintage Vibes moved from spreadsheets to a system that tracks every match, every communication, every event attendance, what happened to the volunteers themselves? Did the relationships feel different when they were being managed through a platform? Did retention improve because coordinators had more time, or did something more informal get lost in the process? Coordination infrastructure can make a service easier to scale, but whether it makes it more human is a different question entirely.

Your referrals are still rising. So is your capacity to receive them. What no one knows yet is whether the people at the centre of the service - the volunteers, the VIPs, the friendships - will feel the difference.

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