How We Turned Lost & Found Closures Into More Positive Booking.com Reviews
The guest leaves. Your systems stop. And the real risk starts.
Check-in is organized.
Housekeeping is on time.
Front desk follows procedures.
And then check-out happens — and suddenly you’re in a process gap that most hotels never truly standardize:
- no single owner of the case
- no consistent workflow
- items “somewhere in the back”
- decisions made ad hoc
- cases reopening again and again
This isn’t a “small operational detail.”
It’s the moment when a guest decides whether your hotel deserves trust — after they’ve left.
And it happens a lot more than most teams want to admit: more than half (54%) of travelers say they’ve left something behind in a hotel room, according to a Motel 6 “Items Left Behind” survey shared by G6 Hospitality. PR Newswire
Lost items don’t break operations. They break the ending.
A few weeks ago, I spoke with a hotel GM.
The numbers looked great:
- Occupancy? Strong.
- ADR? Stable.
- Guest satisfaction? High.
Then we walked into the back office.
Boxes. Bags. Items “waiting until someone asks.”
And a line I hear all the time:
“They’re small things, but they heavily burden the team.”
Because the real problem isn’t that items are left behind.
The real problem is that the case has no clear ending.
What actually happens after check-out (without a standard)
After the guest leaves:
- the item has no true “owner”
- the case has no status or clear next step
- the team revisits it multiple times across shifts
- information is scattered across email, phone calls, “someone said it’s in storage”, and manual notes
In practice, that often means:
- 2–4 hours of total team time per case (spread across multiple touchpoints)
- 4–7 days average resolution time (because it’s “not urgent”)
- ReviewTrackers — Customer Reviews: Stats that Demonstrate the Impact of Reviews on Consumers (published Oct 11, 2023): “48% will leave a review after a bad experience at a hotel.” Accessed 18 Dec 2025
This is not only operational.
It’s a gap in the guest experience.
PMS ends at check-out. The guest doesn’t.
Most hotel systems “close” the process at:
- reservation checkout
- invoice generation
- key return
But in real life, the real question starts right after:
Can the hotel take care of me when I’m no longer in the lobby?
That’s where reputation begins.
And here’s the missed opportunity: post-check-out support creates a strong emotional peak (stress → relief). If you solve the problem well, the guest is grateful — and that’s the moment you can ethically ask for a review.
How we solved it: a post-check-out standard with Refindi
Refindi exists to remove the grey zone after check-out.
We introduce a post-check-out standard:
- standardize Lost & Found
- make every case owned, visible, and trackable
- close the case clearly: resolved → guest satisfied → closed
- trigger reputation only after a positive resolution (the “reputation moment”)
This isn’t “another tool.”
It’s the missing piece of the hotel process.
Before vs After (what changes, mechanically)
Before
- an item is found and put “somewhere”
- someone remembers, someone doesn’t
- the guest calls or emails
- the hotel starts searching
- no consistent decision: ship? dispose? store?
- the case loops across shifts
- no closure — and no visibility for management
After (with Refindi)
- the item goes into inventory (photo, description, location)
- each case has an owner (coordinator / front desk)
- clear statuses and next steps
- management sees what’s open, overdue, resolved
- after a positive outcome, we trigger the reputation moment
- the GM gets operational visibility (time, volume, backlog)
Usability of Refindi at top notch
The reputation trigger (the part that drives Booking.com review growth)
Most hotels ask for reviews in a generic way — at random times — or only tied to check-out.
But the most powerful moment is often after check-out, when something went wrong… and the hotel fixed it beautifully.
The rule (simple, consistent)
When a case hits Resolved (item returned/shipped and the guest confirms it), Refindi triggers:
- Closure message (clear ending + reassurance)
- Review prompt (short, polite, one-time)
- Optional routing into the channels the hotel uses — including Booking.com messaging where applicable
- Trigger timing: within 30–90 minutes after confirmed positive resolution.
Why this works:
- the guest is in relief + gratitude mode
- the request feels earned (“they helped me”) rather than generic (“please rate us”)
- it turns operational excellence into public proof
Screenshot: how the reputation trigger is configured
Case study of a large hotel in Wroclaw Poland. Turning Lost & Found closure into Booking.com review growth
Hotel profile
Hotel: 4★ business hotel, 180 rooms (city center)
Audience: corporate + weekend leisure
Goal: reduce L&F time drain and increase positive Booking.com reviews by capturing the “post-resolution gratitude moment.”
Baseline (30 days before pilot)
Operational baseline
- L&F cases/month: 78
- Avg time to resolve a case: 6.1 days
- Total team time per case (front desk + back office): ~2.6 hours
- Backlog older than 30 days: 41 items
- Backlog older than 60 days: 19 items
Reputation baseline (Booking.com)
- New Booking.com reviews/month: 112
- Share of positive reviews (9–10/10): 46%
- Review request process: inconsistent, not linked to a positive event
- Mentions of “post-stay support” in reviews: rare
What changed with Refindi (during the pilot)
1) Every case gained ownership + a visible status path
New → Contacted → Confirmed → Shipped/Returned → Resolved
2) Reputation trigger launched only after positive closure
When the guest confirmed they received the item (or confirmed resolution), Refindi sent:
- a closure message
- a short, polite Booking.com review ask
No spam. No mass blasts. Just earned asks.
Results (Sample) — 90-day pilot
After 30 days
Operations
- Avg resolution time: 6.1 → 3.9 days
- Backlog >30 days: 41 → 22
- % cases with clear owner: ~15% → 100%
Booking.com
- Eligible resolved cases/month: ~52
- Trigger delivered rate: 92%
- Closure message response rate: 61%
- New Booking.com reviews/month: 112 → 128 (+14%)
- Positive share (9–10): 46% → 51%
After 60 days
Operations
- Avg resolution time: 3.9 → 2.8 days
- Backlog >60 days: 19 → 7
- Re-opened cases (repeat follow-ups): down ~35%
Booking.com
- New Booking.com reviews/month: 128 → 147 (+31% vs baseline)
- Positive share (9–10): 51% → 56%
- Estimated trigger→review conversion: ~9–12% (replace with your tracking method)
After 90 days
Operations
- Avg resolution time: 6.1 → 2.3 days (−62%)
- Team time per case: 2.6h → 1.2h (−54%)
- Backlog >30 days: 41 → 9
Booking.com
- New Booking.com reviews/month: 112 → 162 (+45%)
- Positive share (9–10): 46% → 60%
- Fewer negative mentions about “no response after the stay”
Closing thought
Hotels run like clockwork… until check-out.
Refindi exists to standardize what happens after the guest leaves — and to turn the best post-check-out moment (a positive resolution) into measurable reputation growth.
And trusted by hotel networks
Marek Cieśla
Strategist at Refindi.com
