Customer experience intelligence

Your customers are already telling you what needs attention.

UMI is customer-experience software for restaurants, cafés, hotels, clinics and salons. It gathers the reviews, feedback and service cases you already collect, reads them as one story per customer — and tells your managers who needs attention today.

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A man eating alone at an outdoor bistro table, mid-meal, absorbed in his plate.
The momentSunday, 21:14 — he waited eleven minutes for this, and said nothing about it.

One evening. Recorded three times. Understood once.

Read together · one story
21:14 · Review“Good — but slower than usual.”
+2 days · Feedback“Waiting time was the only issue.”
+31 days · BehaviourThe next visit never came.
UMI · Needs attention first

One story, not three incidents — a regular quietly stopped returning.

The important signals are usually scattered.

A review says one thing. Repeat visits tell another story. Feedback arrives somewhere else. A service issue gets solved in the moment but never becomes part of the bigger picture. When every signal lives alone, managers are left to connect the dots themselves.

ReviewSun 21:14

“The service was good, but slower than usual.”

★★★★★★★★☆☆

Answered two days later · by a different person

VisitWk 12—15

Returning customer. Fourth visit this month.

Counted · never linked to a name

FeedbackTue 09:47

“Waiting time was the only issue.”

Anonymous form

Filed · no customer attached

BehaviourWk 16—19

Expected return window passed without a visit.

Derived · nobody was notified

RecoverySun 21:06

Issue resolved on the night. A dessert was comped.

Marked resolved

Closed · counted as a success

OperationsSun 21:02

Table 12 — eleven minutes before the first order was taken.

Shift note only · not a customer record

Six systemsOne customerNothing joins them

UMI brings those moments into context.

From signal to outcome

Understanding is only useful when it changes what happens next.

01
SignalSeveral unrelated customer moments.
02
UnderstandingRelationships between them become visible.
03
PriorityOne issue rises above the surrounding noise.
04
ActionA clear recommended response appears.
05
OutcomeThe business sees what changed.
01
SignalSeveral unrelated customer moments
4 moments · 0 related
ReviewSun 21:14

“The service was good, but slower than usual.”

★5 → ★3
OperationsSun 21:02

Eleven minutes before the first order was taken.

Shift note
FeedbackTue 09:47

“Great experience, but I probably won’t come back.”

Anonymous
BehaviourWk 16—19

Expected return window passed without a visit.

Derived

Four things the business already knows — recorded correctly, by different systems, on different days.

02
UnderstandingRelationships become visible
4 moments · 4 related
One evening, three records
Review21:14

“Good, but slower than usual.”

Operations21:02

Eleven-minute wait logged at table 12.

What happened afterwards
BehaviourWk 16—19

Repeat customer did not return.

LoyaltyWk 14

A milestone reached, and never mentioned.

The review and the service log describe the same evening. The visit gap begins the week after it.

03
PriorityOne issue rises above the noise
3 candidates · 1 priority
01

A regular stopped returning after an evening everyone thought had gone fine

4 moments · 31 days
02

Waiting time mentioned in three separate places this week

3 moments
03

A loyalty milestone was reached and nothing was said

1 moment

Two clusters and a loose signal become an ordered list. What was set aside stays visible, so the ranking can be checked.

04
ActionA clear recommended response
1 priority · 4 moments attached
Recommended next step

Review the evening and the four weeks after it together.

Then decide whether to reach out. Recovery is most useful while the visit is still recent for the customer.

Evidence4 moments

The review, the service log, the feedback form and the visit gap — one case rather than four records.

One screen. Everything the manager needs in order to act is on it; everything else has receded.

05
OutcomeThe business sees what changed
Recorded
ServiceChanged

Wait before first order became a recorded service moment, not a shift note.

Changed
RecoveryChanged

A completed recovery no longer closes the case on its own.

Changed
WatchOngoing

If the same shape forms again, it surfaces in the first week rather than the fifth.

To monitor

The business learns what it had been missing, and the next occurrence is caught earlier.

One connected UMI ecosystem

Different customer moments. One business understanding.

UMI’s capabilities work together around the same customer experience — helping businesses listen, understand, recover, engage and make better decisions without treating every interaction as an isolated event.

Listen

Smart Menu

Create a more connected dining experience around the menu and the customer journey.

In the Sunday-evening storyThe table opened the menu three times before ordering — the first quiet signal of the evening.

Restaurants · Cafés

Solutions

Four capabilities, one customer story.

The same visit, seen through the part of UMI that would notice it first.

01A woman at a café window counter, quietly finishing her coffee.Most feedback is quieter than a complaint.

Reviews & Feedback

Understand what customers are saying — and what those comments mean together.

Review21:14

“Good, but slower than usual.”

What it noticesAcross UMI sectors
02A row of café chairs and tables left empty after service.The table was cleared. Why it emptied early wasn’t.

Customer Recovery

Identify experience problems early enough to respond before they become lost relationships.

RecoveryWk 19

Resolved on the night — and the visits stopped anyway.

What it noticesAcross UMI sectors
03A woman in a headscarf lingering over her laptop and coffee in a dark café.The visit ended politely. The verdict came later.

Customer Intelligence

Connect signals across UMI and understand what they reveal together.

Pattern4 moments

A successful recovery that hid an unsuccessful visit.

What it noticesIntelligence layer
04A Khobar café in the evening, the barista preparing behind the counter.Before the doors open: what deserves attention first.

Manager Pulse

Know what deserves management attention next.

Today08:00

Three priorities, drawn from everything observed.

What it hands youDecision experience
05A regular at breakfast, at ease, her usual table.Her fourth visit this month looked exactly like her first.

Loyalty

Support stronger repeat relationships where the customer experience and use case justify it.

Repeat rhythmWk 12—19

A rhythm worth keeping — and the week it changed.

What it noticesWhere justified
01 / 03
Customer Intelligence

See the relationship between the moments.

Customer Intelligence is the layer that reads signals across the UMI ecosystem as one customer story. It starts today with reviews, feedback and recovery cases, and widens with every record added to it.

Read together · 5 of 5
Review · Sun 21:14

“The service was good, but slower than usual.”

Recovery · Sun 21:06

Resolved on the night — a dessert was comped, the case was closed.

Feedback · Tue 09:47

“Waiting time was the only issue.” Filed anonymously.

Visits · Wk 12–15

Fourth visit that month — counted, never linked to a name.

Behaviour · Wk 16–19

The expected return window passed. No visit.

Manager Pulse

Know what deserves your attention first.

Manager Pulse is the screen a manager opens before service. It shows what needs them today as a short list, the records behind each item, and what to do about it.

Today
3 priorities need attention

Background signals were reviewed and set aside. These three were not.

Evidence
Review ★5 → ★3Recovery marked resolved31 days · no visit“Waiting time was the only issue.”
Why this matters
Repeat visits are declining among customers who recently reported a service problem — including several whose complaint was marked resolved at the time.
Recommended next step
Review recent recovery cases and contact recently dissatisfied repeat customers.

Outcome to watch: whether the return rhythm of these regulars recovers over the coming weeks.

Updated 08:00
Industries

UMI meets the business where the customer experience happens.

The signals that matter are different in a restaurant, hotel, clinic or salon.

A guest glancing back on the way out — the moment no system records.A row of café chairs and tables left empty after service.A guest walking the corridor to her room, luggage in hand, at the start of a stay.A patient waiting alone in a clinic chair, longer than expected.A patient waiting at a dental practice reception, seen from behind.A client and stylist at a salon mirror — a relationship, not a transaction.
Restaurants

Make better decisions around the experiences customers remember.

01

See experience problems earlier.

Before the pattern completes, not after the customer has already gone.

02

Know what deserves management attention.

Three things this morning, rather than everything at once.

03

Respond with more customer context.

The whole visit, not only the last complaint made about it.

04

Understand patterns across feedback and behaviour.

What people say, read next to what they actually did afterwards.

05

Create stronger reasons for customers to return.

Recognition at the moment it still means something to them.

06

Turn customer experience into a clearer management discipline.

A routine the business runs, rather than a reaction it has.

Why UMI

Technology should help a business understand people, not just produce more reports.

UMI is built around a simple belief: when customer signals become understandable, businesses can make better decisions, create better experiences and build stronger customer relationships.

About UMI
Where this leaves you

Everything above is already in your systems.

Tell us about your business and the customer questions you want answered. We will show you how UMI reads the signals you already collect — on your own reviews and feedback rather than a demo dataset.

Request a demo See how UMI works
No account required. A UMI team member will follow up.