Attendance tracking tells you what happened. Engagement scoring tells you what's coming. Identify at-risk employees before they no-show or quit.
The Problem
Saturday night, two closers don't show up. You find out when they're supposed to be there. Now you're scrambling.
An employee is showing up late, dropping shifts, giving negative feedback. But without visibility, you don't see the pattern until they quit.
One person's chronic lateness affects the whole team. Without tracking, small problems become big problems.
For operators managing multiple locations, understanding team health across stores requires manual work that never gets done.
The Solution
PeakOps syncs with your scheduling software to track attendance automatically. But we go beyond just tracking who showed up. We calculate engagement scores based on multiple signals: punctuality patterns, shift feedback, no-show history, and behavioral indicators like shift bids and drops. You see who's thriving, who's at-risk, and who needs a conversation today.
Daily exception reports show late arrivals, no-shows, and missing clock-outs.
AI-powered scores based on multiple signals predict who's at risk.
Daily suggestions on which employees need check-ins and why.
Features
Every morning at 7 AM, get a clear picture of what happened yesterday. Late arrivals, no-shows, missing clock-outs, overtime. Color-coded by severity, organized by exception type. No more hunting through timesheets.
See who's thriving and who needs attention at a glance. Engagement scores combine multiple signals: punctuality patterns, shift feedback ratings, no-show history, and behavioral indicators like shift bids versus drops. Trend arrows show if things are improving or declining.
Click any employee to see their complete engagement picture. Attendance patterns, shift feedback breakdown, specific factors driving their score. When it's time for a conversation, you have the data to make it constructive.
The system doesn't just flag problems. It prioritizes them. "Check in with Sophia before her shift. Has 2 no-shows recently." "Have a brief chat with Noah. Engagement has been declining." Context-aware recommendations based on what's actually happening.
How We Calculate Engagement
Not just today's clock-in, but trends over time. Is someone getting consistently later? That's a signal.
How employees rate their own shifts tells you volumes. Declining ratings often precede bigger problems.
The clearest signal that something's wrong. We track patterns, not just incidents.
Shift bids show enthusiasm. Shift drops show disengagement. These small actions reveal big patterns.
For Multi-Unit Operators
Multi-store operators get an aggregate view showing team health across all locations. See which stores have the most at-risk employees and which GMs are building strong teams.
Zero Setup
Connect once and data flows automatically. No double entry, no manual uploads. Shifts, time punches, and employee data sync every few hours.
Auto-sync shifts
Import employees
Track punches
Daily reports
Attendance tracking and engagement scoring that helps you have the right conversations before small problems become big ones.
Start Free Trial7-day trial · No credit card · Syncs automatically
