Menu Views
Day, hour, weekday — the when and how much of your traffic. Today / 7 days / 30 days comparison as standard.
Observation Centre
Evidence, not guesswork.
Evidence, not guesswork.
One panel, your data.
Menu views, category clicks, item depth, hourly load, device split — live numbers, evidence-based menu decisions.
Six measurement layers, one panel.
Each layer answers its own question: which category is opened, which item is read longest, which hour peaks, which device your guest uses, which question keeps coming back.
Category & Item Clicks
Which categories open, which item detail is read — the real menu heat. The top-clicked item shows on the panel's first card.
Item Detail Depth
Time spent on an item + session depth (how many items browsed) — quality of interest, beyond click count.
Device & Entry Point
Mobile / tablet / desktop split; came via QR or direct link — the traffic source translates into a design decision.
Language Preference
Which language guests read in (32 languages) — tourist profile, month by month, clear.
Q Assistant Questions
Guests ask "is this vegan?", "does it contain peanuts?" — repeat concerns are cues for the menu text.
This period's insights, generated automatically.
The panel scans each period and hands you the standout movements in one sentence. Approve; the Action Centre takes you to the right screen.
auto-generated
Avocado Toast increased views by 600% in the last 30 days — consider featuring it in the menu.
Espresso is down 80% over the last 30 days — a photo or description update may help.
Hourly load — week × hour.
Which hours did the menu open? A seven-day × twenty-four-hour grid makes your service moments visible. Staff planning and campaign design start from this grid.
Hour
00
01
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03
04
05
06
07
08
09
10
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Mon
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Fri
Sat
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This is the actual panel view — restaurant name masked.
Device + entry point — where does the guest arrive from?
Mobile-heavy — keep menu cards concise; desktop-heavy — depth can be increased. The QR / direct-link split shows the yield of your printed QR campaigns.
Mobile
%31
Tablet
%0
Desktop
%69
%9
via QR
1 outlet
%91
Direct link
10 outlet
Menu journey.
Unique sessions reaching each stage — visitors don't have to follow this order. The lost step is the position to improve.
Total Visits
%100
all visitors
Home
%100
of visitors
Menu Discovery
%9
of visitors
Category Browse
%9
of visitors
Item Detail
%18
of visitors
For restaurants with the Takeaway module enabled, "Add to Cart" and "Order Confirmed" join this funnel. In a standard menu, item detail reading is the last step — the QrMenum menu does not need a cart; it's designed for a fast information + decision flow.
Turn data into decisions.
Menu order is no longer a hunch.
Most-clicked item to first position; never-opened items removed or rewritten. Menu health starts here.
Prove your pricing calls.
High clicks + long detail reads — demand is solid; price-rise test is worth running. Low clicks — position or copy problem; try sequence + description changes.
Compare outlets.
In the Chain program, outlet-to-outlet comparison: which outlet gets 2× more views on the same item, at which hours — the head office sees it in one screen.
Cues for the menu copy.
The Q Assistant's frequent questions surface missing information in the menu — add "contains: peanuts" next revision, and the same question drops off.
Analytics & Observation — FAQ
-
Whose data is this? Does it go to a third party like Google Analytics?
The data is yours. QrMenum collects it on its own infrastructure and shows it in the panel. Google Analytics 4 integration is optional — but not required; the data in the QrMenum panel is complete. -
Is it GDPR-safe?
Yes — no personal data collected; anonymous interactions (view, click, language) counted. IPs kept truncated, cookies only for language preference. Detailed report available to your legal team. -
Can I export reports?
Monthly reports export as PDF and CSV. Weekly email summaries can be turned on. -
How does outlet comparison work in the Chain program?
The cross-outlet dashboard shows every outlet's metrics on one screen: ranking, delta (vs. last week), top-clicked item. No need to browse them one by one. -
Is the heatmap real-time?
Views and clicks land in the panel with ≤5-minute delay. Live tracking during service peaks (lunch/dinner) is practical. -
How does the AI Nutrition Assistant connect to reports?
The Q Assistant's FAQ list merges with the Menu Health layer: which item has missing nutrition and low clicks at once — the panel presents both signals together, with an action suggestion.
Would you like to see the numbers?
In the panel demo we'll walk through the analytics screen of a real menu together. Reach us on WhatsApp; 15 minutes to a live walkthrough.
