All Case Studies Voice of Customer · Service Design

Building a Voice of the Customer Programme at The Square

Built the analytical infrastructure and ran weekly delivery for a 21-week guest experience programme at one of Dubai's flagship lifestyle destinations — closing the loop between guest sentiment, operational decisions, and external reputation.

+85 Peak NPS · 1,121+ Guest Responses
Client Shamal Holding
Role CX Analytics & Programme Delivery
Scope 21 weeks · 1,121+ surveys · 521 reviews analysed
Methods In-field exit interviews · QR totems · Power BI · weekly executive reporting

About this engagement — I joined this project at the invitation of Emma Logan of CX Collective, who designed the Voice of the Customer methodology and shaped the programme's analytical framework. My remit was to automate the data pipeline, run the weekly client delivery, and report on programme performance to the senior team on a biweekly cadence. What follows describes the work I led within that scope.

Footfall and Revenue Don't Tell You How Guests Actually Feel

The Square at Nad Al Sheba Gardens is one of Shamal Holding's flagship lifestyle destinations — a premium outdoor venue offering curated F&B, live entertainment, family programming and seasonal cultural activations. After the venue's first months of operation, the Shamal leadership team needed answers that no operational dataset alone could provide.

How did guests actually feel about the experience? What was working and what was friction — by component, by guest segment? Was the venue building loyalty or churning through novelty traffic? Where should operations invest the next dollar of effort, and which fixes would create the most leverage on guest sentiment?

The brief was to build, run and report on a continuous Voice of the Customer programme that would answer those questions every single week — in time for operational decisions to be made within the same operating week. In Dubai's competitive lifestyle and hospitality sector, the inaugural seasons are a critical window for establishing reputation, repeat visitation, and word-of-mouth — all of which compound or decay quickly.

A Closed-Loop, Weekly-Cadence CX Programme

Five interlocking components, designed to turn raw guest sentiment into operational decisions inside the same week it was captured.

From a Launch-Phase +32 to a Peak of +85

Across 21 weeks and 1,121+ guest responses, the analysis surfaced a series of operationally and strategically significant findings. The headline arc — the NPS journey itself — tells the programme's story.

Graph 1 — The NPS journey
Net Promoter Score by Programme Phase
From launch turbulence to a peak score of +85 in Week 14 — a level that exceeds typical hospitality benchmarks (commonly cited around +30) by roughly 2×.
+32
Week 2Launch / find-our-feet
+66
W3 – W7Early stabilisation
+62
W9 – W12Growing momentum
+85
W13 – W14Peak season performance
+61
W15 – W21Cumulative settled at

Each bar reflects the average NPS across the named phase; the highlighted Week 13–14 bar represents the programme high (Hag Al Laila weekend). The cumulative programme NPS settled at +61 by Week 21.

Graph 2 — Component satisfaction
Where the Programme Moved the Needle Most
Component-level guest satisfaction at programme launch compared to the closing week. Parking & Access — which began as the worst-performing component — became the programme's largest single improvement.
At programme launch
By programme close
Largest improvement
Parking & Access
LAUNCH
CLOSE
Music & Entertainment
LAUNCH
CLOSE
F&B
LAUNCH
CLOSE

Children's Activities was the most persistent friction theme of the programme — feedback consistently centred on pricing for paid play activities and the case for a free play zone. Surfacing this in writing every week led to specific operational planning by the venue team.

The Returning-Guest Paradox

One of the more actionable findings of the programme: returning guests gave a higher NPS but lower component CSAT than first-timers. The interpretation was clean — returning guests have stopped being impressed by the novelty and are now judging the everyday execution. That's healthy maturity. It tells operations exactly where to focus the continuous-improvement budget.

The returning-guest share itself moved decisively over the programme: from an early-programme average of ~45% to a late-programme average of ~67% — a +22 percentage point uplift in five months. A venue can drive footfall once with marketing; only a great experience drives the second visit.

A more granular cross-tabulation surfaced one further insight: Female First-Timers were the lowest-scoring single segment, but a quarter of the entire respondent base — making focused improvements to their first visit the highest-ROI opportunity in the experience.

Validated by the Most Public Measure in Hospitality

To validate that on-site sentiment was reflected in external reputation, I scraped and analysed all 521 Google Maps reviews of the venue from October 2024 to February 2026 — comparing the year before the programme to the year it ran.

Graph 3 — Google Maps year-over-year
Year-on-Year Movement During the Programme Period
Comparing Season 1 (Oct 2024 – May 2025, no programme, 280 reviews) to Season 2 (Sep 2025 – Feb 2026, programme running, 225 reviews).
Season 1 — no programme
4.34
Oct 2024 – May 2025 · 280 reviews
Season 2 — programme running
4.51
Sep 2025 – Feb 2026 · 225 reviews

A meaningful uplift on a 5-point scale where movement is typically slow. A sustained 4.5★ average compounds over time — it raises booking conversion, increases inclusion in "best of Dubai" media coverage, and lowers customer-acquisition cost across all paid channels. The programme paid back outside the venue gates as well as inside them.

"This is the external proof point that the on-site improvements being driven by the weekly Voice of the Customer programme were translating into the most public-facing measure of guest sentiment that exists in modern hospitality."

— On the year-over-year Google Maps validation

Parking, From Launch Crisis to Perfect Score

The clearest illustration of the programme's value isn't in the headline numbers — it's in the specific, week-by-week course corrections it enabled. Parking & Access was the single most operationally critical theme of the programme — for an outdoor lifestyle venue in Dubai, the experience starts before guests even step out of the car. We tracked it relentlessly week after week, with focused incremental improvements logged in every report.

In Week 2, Parking & Access scored 37% — a clear launch-phase infrastructure problem. Guest feedback was specific: access lanes, valet pricing, sandy surfaces, lighting, congestion at peak. The weekly report flagged this as a HIGH-priority operational issue with the qualitative evidence attached.

By Week 4, after Operations reconfigured access lanes and added overflow capacity in response to the Week 2 report, Parking had jumped to 92%. It oscillated through subsequent weeks as new sub-issues surfaced (sandy surfaces, valet pricing, lighting all surfaced in turn) — and each time, the weekly cadence let operations isolate, address, and verify the fix in two-to-three week cycles.

By Week 21 — Eid weekend, with the highest sample volume of the programme, Parking & Access scored a perfect 100%. The first perfect score on any major component in the programme. A 21-week journey from the worst-performing component to the programme high.

This is what the programme was built to do. Not to produce a single annual report, but to give operations a steady weekly drumbeat of decision-grade evidence — and a closed-loop framework for acting on it inside the same operating week the feedback was captured.

Outcomes Across Twenty-One Weeks

Six Things That Made the Difference

In our view, six things made this engagement successful — and they're the things we'd repeat on any future programme of this kind.

Voice of Customer In-Field Surveys NPS & CSAT Power BI DAX Power Query (M) Python in Power BI Topic Classification Multilingual Research React / Recharts Dashboards Executive Reporting Priority Score Modelling Customer Journey Mapping Segmentation Analysis External Reputation Analysis

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