Why Do Two Hotels With the Same Star Rating Feel So Different?

Two hotels in Montreux sit almost exactly one-hundredth of a star apart i.e. 3.72 versus 3.71. To a traveler scanning search results in eight seconds, they are, for all practical purposes, identical. Same town, same lakeside setting, same rounded-up "3.7 stars, pretty good" verdict.

Guests who actually stay in them tell a different story.

One property's guests keep circling back to feeling looked after. The other's keep circling back to feeling shortchanged. The star rating captures none of that - because a star rating was never built to. It's a single blended number, and blended numbers are, by design, built to erase exactly this kind of variance.

Explore the full Lake Geneva Guest Experience Insights series at senteez.com/hotels/switzerland/lake-geneva.

What SENTEEZ Measures That a Star Rating Can't

A star average answers one question: on the whole, how satisfied were people? It cannot tell you satisfied with what - the room, the price, the person at the front desk - because it was never designed to separate those signals out.

SENTEEZ's Guest Experience Insights do the opposite. Every property is analyzed across multiple distinct guest touchpoints including but not limited to Location & Access, Front Desk & Staff, Room Quality, Breakfast Quality, Value for Money, Maintenance & Upkeep, Amenities & Facilities, and Bed Comfort - using aspect-based sentiment analysis over a rolling trailing-12-month window, refreshed quarterly. The result for each aspect is a % Positive figure: the share of guest mentions of that specific touchpoint that were positive. It is not a star average, and it is not the same thing wearing a different label. It's a decomposition of the one number into the dozen experiences actually hiding inside it.

That decomposition is what makes two 3.7-star hotels in the same town look completely different once you stop averaging.

Meet the Two Properties

Two Montreux hotels, both roughly 3.7 stars, both with several hundred reviews analyzed over the same trailing 12 months. Referred to here simply as Property A and Property B.

On paper, before you look past the headline number, these are interchangeable hotels. A traveler choosing on stars alone has a coin flip.

Where They Actually Agree

To be fair to the star rating, it isn't wrong everywhere. Both properties are anchored by the same core asset: a prime, central Montreux lakeside position that guests consistently single out as a reason to stay. Both also draw real warmth toward their reception teams - individual staff members at both hotels are singled out by name in guest praise, described as welcoming, attentive, and willing to go out of their way. If the comparison stopped at location and "are the staff nice," the two hotels would genuinely tie.

It's what sits underneath those top-line numbers where the stories split.

Where They Split, And Why It Matters

The 38-Point Value for Money Gap

This is the number that should stop a traveler mid-scroll: 22% positive versus 60% positive on Value for Money, between two hotels rated within a hundredth of a star of each other.

Property A's problem isn't the price itself - it's the mismatch between the price and what guests find when they arrive. Guests describe rooms that don't match a premium rate: worn carpets, dated furnishings, and recurring housekeeping lapses. That friction is compounded by a pattern of ancillary charges guests didn't expect - for bottled water, for parking, for hot items at breakfast that feel like they should be included at that price point. Individually, each fee is small. Collectively, guests describe them as a property that nickel-and-dimes a five-star rate.

Property B's Value for Money score is more than double, but it isn't a clean win either, and that's the more interesting finding. Guests here also flag aged rooms and tight layouts, and a specific, recurring complaint: noisy, undersized portable air conditioning units that fail during warm weather and damage sleep quality. There's also a transparency problem i.e. public parking fees that aren't clearly disclosed at the time of booking. What keeps the score more than double Property A's is that guests weigh those flaws against a location and a front-desk experience they feel is worth the trade-off. The value perception survives specifically because the staff experience carries it.

Front Desk & Staff: Warmth Isn't the Whole Story on Either Side

Property B's 75% positive on Staff is its strongest asset in the entire dataset, and the qualitative pattern backs it up - guests describe proactive help with early check-ins, luggage, room adjustments, and local recommendations, often naming specific staff members. But the score isn't 90%, and the gap is explained by real inconsistency: sharp shifts in service quality between staff members, an early front-desk closure that leaves late-arriving guests without support, and - most seriously - a pattern of guest complaints (pest reports, booking issues) being met with deflection rather than resolution.

Property A's 67% tells a similar story of inconsistency, just with a different signature. Warmth toward individual staff members is genuinely there in the reviews. But it sits alongside unprofessional remarks from some staff, recurring check-in operational errors - keycard issues, missing amenity cards, deposit paperwork - and a language-coverage gap at reception that leaves non-English, non-French speaking guests underserved. For a hotel priced at five-star rates, that combination reads as a training and standards gap more than a hospitality gap.

The Real Pattern: Same Stars, Two Different Failure Modes

Line the two properties up and a clear structural difference emerges. Property A is a physical-product hotel with a value problem - strong amenities and food and beverage, undermined by a room product and fee structure that don't match its price point. Property B is a people-driven hotel with an operational-consistency problem - its staff experience is strong enough to carry real flaws in the room product and climate control, but only when that staff experience is delivered consistently, which it isn't always.

Two hotels, same star rating, two completely different reasons a guest would leave happy or leave frustrated. A single average was never going to show you that. Aspect-level sentiment does.

What This Means If You're Booking

If Value for Money and price transparency matter most to you, the star rating alone will actively mislead you here - the gap between these two properties on that single dimension is larger than the gap in their overall ratings by nearly 40x. If a warm, attentive front desk is what makes or breaks a stay for you, both properties can deliver it - but only one delivers it consistently enough that guests rarely describe it going wrong.

What This Means If You Run a Property

The uncomfortable finding for operators is this: two hotels can carry the same reputation grade in every public listing while losing guests for entirely different, entirely fixable reasons - one on pricing and fee transparency, the other on service consistency and training.

A star average will never flag which one you have. This is precisely the blind spot cross-property intelligence exists to catch before it shows up as a declining trend line a quarter too late.

Methodology

All figures reflect trailing 12 months of guest review data, refreshed quarterly, to capture current guest experience rather than historical performance. Sentiment is calculated via aspect-based sentiment analysis (ABSA), classifying guest mentions of each specific touchpoint - not the review as a whole - as positive, neutral, or negative. % Positive is the share of aspect mentions classified as positive; it is a distinct metric from a star-rating average and is not calculated the same way.

Aspects with smaller review samples are included without a hard minimum threshold, with confidence context (review counts) shown alongside every figure.

Frequently Asked Questions

Do two hotels with the same star rating offer the same guest experience?

Not necessarily. A star rating is a single blended average across every guest touchpoint. Two hotels can post nearly identical overall ratings while differing by 30+ points on specific aspects like Value for Money or Staff service, because the strengths and weaknesses that produce the average can be completely different.

What does "% Positive" mean in a SENTEEZ Guest Experience Insights analysis?

% Positive is the share of guest review mentions of a specific touchpoint - such as Room Quality or Front Desk & Staff - that were classified as positive through aspect-based sentiment analysis. It is calculated per touchpoint, not as a single average across the whole review, and is distinct from a star rating.

Why don't star ratings show Value for Money separately?

Star ratings are calculated as a single overall average and don't break out individual aspects of a stay. Two hotels can have very different Value for Money experiences - driven by pricing, fees, or perceived quality for cost - while landing on nearly the same overall star number.

How often is this data updated?

Every quarter, using a rolling trailing 12-month window, so the analysis reflects current guest experience rather than historical performance that may no longer be accurate.