Records study, 9,800 public reviews, 120 hotels

Hospitality research poster example

A hospitality research poster works best when its title is the question a manager would ask. This A0 portrait board asks whether replying to reviews changes the next rating, and answers it with 9,800 public reviews across 120 hotels: hotels replying to more than 75% of reviews gained 0.4 stars.

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The whole board

The poster at full size, exactly as it prints. Every number, citation and caption on it was written for this example, so the layout is being judged on real content.

PU
Research question
Does replying to reviews change the next rating? 9,800 reviews across 120 hotels
M. Castellano ¹, D. Nwosu ¹
1 School of Tourism and Hospitality, Penhallow University
WHAT WE DID
Sample. 120 hotels with at least 30 public reviews on two booking sites, reply rates coded from January 2024 to March 2025.
Replies. Each review coded for whether the hotel posted a public reply within 7 days of the review.
Bands. Hotels grouped by the share of reviews they replied to: under 25%, 25 to 50%, 50 to 75% and over 75%.
Outcome. Mean star rating of reviews in the 90 days after the coding period, April to June 2025, against the 90 days before it.
Controls. Hotel size in rooms, star class and region, so the bands are compared like with like rather than big against small.
PARTICIPANT FLOW
Public reviews collected for 132 hotels
11,960
Removed: duplicates, unrated, or hotels under 30 reviews
2,160
Reviews in the analysis
9,800
Hotels in the analysis
120
Hotels by reply band, lowest to highest
34 / 31 / 29 / 26
Results
Ratings were flat in the lowest band at 3.9 before and after. They rose 0.2 stars in the two middle bands and 0.4 stars, from 3.9 to 4.3, in the 26 hotels that replied to more than 75% of reviews. The gain held after the size, class and region controls.
Before
After
2.83.23.644.4
Figure 1. Mean star rating in the 90 days before and after, by reply rate band. Bars left to right: under 25%, 25 to 50%, 50 to 75%, over 75%.
Source: public reviews, 120 hotels, 2024 to 2025.
Reply rates by hotel size
Small hotels under 50 rooms, 48 of them, replied to 41% of reviews on average. Medium hotels of 50 to 150 rooms, 44 of them, replied to 58%. Large hotels over 150 rooms, 28 of them, replied to 72%. Across all 120 the mean reply rate was 54.5%. Large hotels have staff whose job includes replies, which is why they dominate the top band, and the controls matter for that reason. Two limits apply. A hotel that replies a lot may also fix what reviews complain about, and public data cannot separate the reply from the fix. And reviewers may simply rate more kindly where they expect to be read.
Why ask
Hotel managers are told to answer every review, and many now spend an hour a day doing it. The advice rests on surveys of what guests say they notice, not on what happens to the ratings that follow. If replies work, the rating that new guests leave should move after a hotel starts answering, and it should move more in hotels that answer most. This board tests that on public reviews alone, so any hotel could repeat it on its own listing.
0.4 stars
gained by hotels replying to over 75%
From 3.9 to 4.3 over the next 90 days, 26 hotels, 2,220 reviews
Over 75% reply rate: rating up 0.4 stars, 3.9 to 4.3
Under 25% reply rate: no change, 3.9 both periods
Large hotels reply most: 72% against 41% for small
9,800 reviews from 11,960 collected across 120 hotels
REFERENCES
1.Ferrante, G. and Oduya, L. (2024) Management responses and later review scores. Journal of Hospitality Analytics, 9(2), 66 to 84.
2.Halvorsen, I. (2025) What guests read before they book. Tourism Behaviour Review, 15(1), 12 to 27.
3.Castellano, M. (2025) Coding public replies at scale. Penhallow Hospitality Paper 5, 2025.

Block by block

What each block on the board is for, in the order a reader walks it.

Question band and two authors
A research question eyebrow, the question itself as the title, and the two authors in the coloured band.
What we did
Five entries: the 120 hotels and coding window, how replies were coded, the four reply rate bands, the 90 day outcome, and the size, class and region controls.
Reply rates by hotel size
The table from the brief written as text, since this design has no table block: small hotels 41%, medium 58%, large 72%, mean 54.5%, followed by two limits.
Review flow
Five boxes from 11,960 reviews to the banded hotels. The design prints a fixed participant flow heading over it; the boxes say reviews and hotels.
Why ask
Why managers are told to reply, what that advice rests on, and why public reviews let any hotel repeat the test.
Figure 1 and results
Mean star rating before and after for the four bands, and the results text: flat in the lowest band, 0.2 stars in the middle two, 0.4 stars in the top band.
Key number, points and references
The stat block holds 0.4 stars with 26 hotels and 2,220 reviews. Four checked points and three references finish the board.

What makes this board work

The question is the title

The coloured band carries the research question in large type, so a passing manager knows in one line whether the board is for them. The answer, 0.4 stars, is the largest number below.

The sample is traced from collection

The flow block runs from 11,960 reviews collected to 2,160 removed to 9,800 analysed, then to 120 hotels and the four bands of 34, 31, 29 and 26. Every count adds up.

Before and after, not just after

Figure 1 shows each band before and after, so the reader sees the lowest band stayed at 3.9 while the highest rose from 3.9 to 4.3. A ranking of after ratings alone would hide that the bands started level.

Questions people ask

What makes a good hospitality research poster?

A question an operator would ask, data they would recognise, and an answer in units they use. This board asks about review replies, uses public review pages any hotel can see, and answers in stars. Tourism conference audiences mix academics and practitioners, so plain units travel further than model coefficients.

Why put the research question in the title?

Because a question tells a passer by in one line whether the board is relevant, and it commits the poster to answering it. This design gives the question its own coloured band with an eyebrow above it, so the title reads as a question first and a citation second.

How do I show a sample of reviews rather than people?

With the same flow logic: what was collected, what was removed and why, what was analysed. This board goes from 11,960 reviews to 9,800 after removing duplicates, unrated reviews and hotels with under 30 reviews. The flow block heading is fixed, so the box labels name reviews and hotels.

Does replying to reviews cause the rating to rise?

This board cannot say so, and it says why. Hotels that reply a lot may also fix what reviews complain about, and public data cannot separate the reply from the fix. The controls for size, class and region narrow the comparison but do not turn a records study into an experiment.

Why does the chart start above zero?

When every value sits in a narrow band far from zero, here 3.8 to 4.3 stars, the chart starts its axis a little below the smallest value so the difference is visible. Starting at zero would draw eight bars of nearly equal height and hide the 0.4 star gain the board is about.

Is portrait the right shape for a question led poster?

It suits it, because the question band runs the full width at the top and the answer can sit directly below. Whether your conference wants portrait or landscape is set by the board size in its call for posters, so check that before choosing; this design exists only in portrait.

Why use a 90 day window for the next rating?

Long enough to collect a stable number of new reviews for most hotels, short enough that a renovation or new owner is unlikely to land inside it. The board compares the 90 days after the coding period with the 90 days before it, so each hotel acts as its own baseline.

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