Check-in analytics

The Analytics tab on the event detail page takes you deeper into check-in data — not just “how many guests arrived” but when arrivals peaked, which doors absorbed them, and which scanners were working fastest. Use it during the event to coordinate door staff, and after the event to debrief.

Where to find it

Open the event detail page at app.qrs.com.vn, pick the event, then go to the Analytics section. The tab auto-refreshes on an interval you control: a dropdown in the toolbar offers 5s / 10s / 15s / 30s / 1m / Off (30 seconds is the default, so nothing changes until you touch it), and it drives every query on the tab — stats, tables, and charts refresh together. A Refresh now button forces an immediate refresh; its icon spins while queries are in flight.

Tip

All figures reflect check-ins that have successfully synced to the server. Scans still queued offline on a scanner won’t appear here until that device is back online. See Real-time dashboard.

Sections on the page

Check-in status card

What used to be five scattered stat cards is now one Check-in status card at the top: a progress bar with the check-in rate, plus a compact grid of figures:

• Total guests / Checked in — tickets issued vs. guests who have successfully entered.
• Unique guests — distinct guests admitted (excluding repeat entries).
• Re-entries / repeat check-ins — number of times a guest re-entered (when the event allows re-entry).
• Primary guests vs. total tickets — when the event allows companions, the numbers split into primary guests (the ticket holders themselves) and total tickets (companions included), so a party of three counts as one primary guest and three tickets. Companion-less events keep the single number.

The event header carries the same pair of chips — including a ticket-scoped Tickets Not Checked In count — so the split is visible without opening the tab.

Check-in rate and peak window

Just below the summary cards are two small tiles:

• Check-in rate — percentage of guests who have entered vs. total tickets issued. For example, 78.5% means roughly 78 out of every 100 ticket holders are inside.
• Peak window — the busiest 5-minute window across the whole event, with its start, end, and number of scans. For example “7:00 PM – 7:05 PM · 42 scans” means arrivals peaked in those five minutes with 42 scans.

Note

The peak window is computed over every 5-minute window in the event, independent of the velocity chart (which groups by hour for long events). So you may see a 7:00 PM peak here even though the chart below uses a coarser bucket.

Check-in velocity chart

The area chart shows check-in flow over time. The horizontal axis is time of day, the vertical axis is number of check-ins. Use it to:

• See whether guests trickle in early or rush in over a short window.
• Spot a building peak so you can pull more staff to the doors.
• Compare your gut feel against what actually happened.

Per-door breakdown

This table counts check-ins at each door. Use it to compare which doors absorbed the most traffic and which were quiet — useful when planning staffing for the next event.

If an “unknown” door shows up, those are scans that weren’t tied to a specific door (for example, a self-serve kiosk or a manual lookup that didn’t pass through a named door).

Scanner performance

This table is your tool for evaluating the door team. Each row is one scanner or device:

Column	Meaning
Scanner / Device	The person’s name and the device they used (if any).
Scans	Total successful scans by that person.
Avg seconds between scans	Average gap between two consecutive scans for that person — a lower number means faster scanning.

Tip

“Avg seconds between scans” reflects the person’s scanning rhythm, not device lag. A person with a low number is moving guests through quickly and steadily. If a door is busy but a person has a high number, consider sending help.

A person labelled “Organizer” is the event creator themselves — handy when you also scan tickets and want to separate your own activity out.

Ticket tier and custom-field breakdowns

Two value tables break the guest list down by ticket tier and by each custom question (company, table, …). The custom-field table is fully server-side, so it scales to any guest count:

• Search — a debounced search box filters rows by value.
• Sort — click a column header to sort ascending or descending (a stable value-order tiebreak keeps pages consistent).
• Pagination — five rows per page with a pager; the page clamps itself if a refresh shrinks the result set, so you never land on “page 3 of 2”.

The Excel workbook export (below) includes the full breakdown tables.

Check-in tables

Below the breakdowns, the tab carries the repeat and recent check-in tables — who re-entered, who just arrived — and the not-checked-in guests list for a quick look at who is still missing. Companions render under their primary guest’s name with a Companion badge instead of a bare dash.

Cross-event summary on the main dashboard

Beyond the per-event Analytics tab, the main dashboard shows a multi-event summary. There you’ll see:

• Total events, total guests, total checked in across all of your events.
• Overall check-in rate — the blended percentage across events.
• Total VIP guests and VIPs checked in — to keep an eye on important attendees.
• Top events — the events with the most check-ins, so you can jump back to the one running hottest.

The velocity on the main dashboard is grouped by hour across all events, giving you a sense of the day’s overall rhythm.

VIP guests vs. checked in

Both the Analytics tab and the stats cards separate VIP guests out:

• Total VIP guests — VIP-tier tickets issued.
• VIPs checked in — VIP guests who have entered.

Use these two numbers to make sure your important attendees are being taken care of. If VIP check-in is far behind total VIP issued as the event is about to start, consider reaching out or stationing staff to greet them separately.

Exporting a PDF report

The Analytics tab has an Export data menu in the top-right corner. Choose Export PDF and the system produces a PDF containing the figures and charts currently on screen — check-in status, rate, peak, velocity chart, per-door and scanner tables, ticket tiers, and custom-field crosstabs — ready to forward to stakeholders or file away as a post-event record.

1. Open the event and go to the Analytics tab.
2. Wait for the numbers to load — review them first to make sure they capture the moment you want.
3. Open Export data and choose Export PDF. Building the file takes a few seconds.
4. When it’s done, the PDF downloads to your device.

Note

If you need raw data to process yourself in Excel or Google Sheets, use Export CSV or Export Excel instead of PDF. See Exporting check-in data to CSV.

When numbers don’t add up

• Numbers look lower than reality — a door scanner may be offline. Scans will catch up automatically once the device reconnects.
• Chart is empty — no check-ins have synced for this event yet. Check the scanner status and its network connection.
• Peak shows but the chart looks flat — the peak is measured on a 5-minute window while the chart groups by hour, so a short spike can hide inside a single hour bar.

Next steps

Real-time dashboard

While the event is running, watch the live arrivals list and counts. See Real-time check-in dashboard.

Export CSV

Export every check-in to a file for further processing. See Exporting check-in data to CSV.