Your store doesn't perform badly all the time. It performs badly during the Friday dinner rush, or the Sunday morning opening shift. Visualize failures chronologically to pinpoint staffing and coverage gaps.
Knowing that you have a "Customer Service" issue is helpful. Knowing that your customer service score drops by 40% exclusively between 4:00 PM and 6:00 PM on weekdays is actionable. It means your transition between the day shift and night shift is failing, and your managers are occupied with shift changeovers instead of customer care.
A visual 7x24 grid plotting every single operational failure, allowing leadership to instantly identify the densest, "deep red" pockets of failure.
Filter the heatmap to isolate exactly when "Cleanliness" issues or "Speed of Service" issues spike independently.
Use heatmap data to justify increasing headcount or scheduling your strongest shift leads during traditionally failing timeslots.
Overlay heatmaps across multiple locations to discover broad, brand-wide systemic issues (e.g., all stores uniformly struggling with the 2 PM shift change).
The system uses NLP to read when the actual experience occurred ("We visited last night..."), not just the timestamp of when the review was posted.
Export rich, high-resolution visual heatmaps as PDFs or PNGs to include in manager performance appraisals and board-level presentations.
Lite
Not available
Essential
Current View
Growth
Historical Analysis
Enterprise
Cross-Location Averaging