The Task Seemed Simple at First
When the festival planning team handed me the venue research task, I thought it would take a day, maybe two. The goal was clear: call event spaces across the city, collect key details — capacity, availability, pricing, contact names — and populate a structured Excel sheet that the broader team could actually use for decision-making.
I had a list of roughly 80 venues. I had a draft Excel template. I figured I could power through it.
I was wrong.
What Made It Harder Than Expected
The first challenge was the sheer volume of outreach. Calling venues is not just dialing a number — it involves navigating front desks, getting transferred to the right person, waiting on hold, and sometimes calling back two or three times before reaching anyone who could answer venue-specific questions about capacity tiers, setup configurations, or catering restrictions.
By mid-afternoon on day one, I had completed about twelve calls and entered maybe nine usable rows in the spreadsheet. Some venues had no idea what "minimum booking hours" meant. Others quoted prices in formats that did not match the column structure I had built. A few required a callback with a formal inquiry before they would share any information at all.
The Excel sheet itself also started showing cracks. I had originally built it with a flat structure, but the data coming in was inconsistent — some venues had multiple halls, each with separate specs. The template needed restructuring mid-process, which meant going back and re-entering data I had already collected.
Time pressure made everything worse. The festival planning deadline was real, and I was moving too slowly while also managing other responsibilities.
Bringing in Helion360 to Handle the Data Side
After hitting a wall with both the volume of calls and the Excel structure issues, I reached out to Helion360. I explained the situation — what data I needed, the column logic for the spreadsheet, and where the current template was breaking down.
Their team took it from there. They restructured the Excel sheet to handle multi-space venues cleanly, with a logical layout that allowed the festival team to filter by capacity, availability window, and location zone without any manual sorting. They also standardized the data entry format so that every row followed the same structure regardless of how the information came in over the phone.
What I appreciated most was that the work did not just look clean — it was actually usable. Conditional formatting flagged venues that had not confirmed availability. A summary tab pulled totals automatically. The team clearly understood that this was a working document, not just a formatted table.
What the Final Database Looked Like
The completed venue database covered all confirmed contacts across the city, organized by district. Each entry included the venue name, primary contact, phone number, email, total capacity, number of configurable spaces, catering policy, parking availability, estimated rental cost range, and current availability for the festival dates.
A status column tracked whether a venue was confirmed-contactable, pending callback, or unresponsive after two attempts. That alone saved hours of follow-up confusion for the wider planning team.
The Excel file was structured so that anyone on the team could open it, apply a filter, and immediately find venues that matched specific requirements without needing to read every row.
What I Took Away From This
Venue research at scale is genuinely labor-intensive. The phone calls alone demand focus and patience — and the moment you add structured data entry to the same workflow, quality starts slipping in one area or the other. Trying to do both simultaneously, under a deadline, is a recipe for an incomplete or unreliable database.
The smarter move was separating the data architecture work from the calling work. Having a properly built Excel template before outreach begins — one that accounts for irregular data formats and multi-space venues — makes the entire process faster and more accurate.
If you are running a similar research or data collection project and the spreadsheet side is becoming its own problem, Helion360 is worth a conversation. They stepped in when the scope outgrew my bandwidth and delivered a clean, functional database that the whole team could rely on.