PeakOps connects your scheduling, review, and team data to build a continuous picture of every location's health. You spend your time where it matters most.
"When I had one location, I knew everything.
Now I have twelve, and I find out about problems
weeks after they started."
Every multi-unit operator, eventually
Here's what a PeakOps weekly brief looks like.
Attendance and team morale issues are showing up in guest experience. This is the second consecutive week of decline at this location.
15 late or no-show shifts out of 70 this week. Team feedback is mixed. Comments mention understaffing and training gaps. On-time rate dropped 8% from last week and is down 14% over the past 30 days.
Reviews averaging 4.0 but new complaints about slow service and staff behavior have emerged. This pattern correlates with the staffing gaps above. Three weeks ago this location had zero service speed complaints.
Staffing reliability is eroding the guest experience at this location. This needs a direct conversation with your GM this week, not monitoring.
Two weeks ago you noted that a new assistant manager was starting. Attendance has continued to decline since then, suggesting the issue runs deeper than onboarding.
Your notes appear in future briefs as context
Sample brief with illustrative data
We connect systems you already use and surface the cross-source patterns no single tool can show you.
No-shows, late arrivals, shift coverage gaps, turnover patterns, and schedule adherence, per location, compared to fleet average.
A single no-show isn't a signal. But rising no-shows + declining shift feedback + new service complaints at the same location in the same week? That's a story, and PeakOps writes it for you.
The competitor isn't software. It's the status quo.
Most tools give you a snapshot. PeakOps builds a continuous picture of every location. The longer you use it, the sharper it gets.
Your first briefs establish how each location is performing right now. You see which stores need attention and which are stable.
Briefs now include week-over-week comparisons and fleet averages. You see trajectory, not just snapshots. Recurring patterns surface across locations.
PeakOps recognizes patterns that preceded problems at other locations. When a store starts showing familiar warning signs, you know early because the system has seen it before.
Read a brief. Take action. Log what you did. Next week's brief remembers.
When a location flags again, the brief references what you did last time and whether it worked. Over time, you build a decision history for every store that no spreadsheet, no site visit, and no GM self-report can replicate.
Start a 30-day pilot. We'll connect your data, generate your first weekly briefs, and you'll see which locations need attention before it gets expensive.
No credit card. No store-level setup. Briefs start within one week.