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Tips and team motivation 2026: turnover keeps climbing while the pool gets split by feel, not by criteria.

Diego F. Parra By Diego F. Parra · Updated 2026-09-18· Service & Customer Experience
Tips and team motivation 2026: turnover keeps climbing while the pool gets split by feel, not by criteria. — Masterestaurant
Quick verdict

Tips and team motivation stopped being the same problem: the tip pays for yesterday's shift, the incentive scheme builds tomorrow's, and confusing the two is what sustains high turnover in hospitality. Bureau of Labor Statistics. The Masterestaurant verdict for 2026 is blunt: split the pool with a written, measurable rule posted BEFORE the shift, and move motivation into a gamified incentive tied to experience metrics —guest satisfaction, service recovery, average ticket— that your POS already records. Public data backs the sequence: full-service satisfaction hit 82 out of 100 in 2025 per ACSI, with 83/100 when the guest eats in the dining room and 74/100 when the order arrives by delivery, a nine-point gap decided on the floor, not in the kitchen. Split by feel and you pay twice: in turnover and in tips never earned.

🔬 Masterestaurant Study / Sector SynthesisExpert synthesis · cited industry sources· 20 min read· 2026-09-18Intellectual Property of Masterestaurant® — Exclusive for Sector Leaders

There is a scene that repeats in every full-service manager's office on Monday morning: the weekend tip sheet, three servers standing there asking why their cut dropped, and a manager improvising an explanation that was written nowhere before the shift. That moment —not the climate survey, not the pre-shift speech— is where real team motivation gets decided, because that is where the team learns whether rules exist or get invented depending on who complains loudest.

This analysis synthesizes public data from six sector organizations —U.S. Bureau of Labor Statistics, American Customer Satisfaction Index, OpenTable, Restroworks, Sunday, and Spindl— published between 2024 and 2025, and reads it from floor operations: what drives turnover, what moves guest satisfaction, and where a tip scheme stops being accounting and becomes behavior design. Diego F. Parra and the Masterestaurant team sign the READING; the figures belong to their sources, each one cited.

The lens is AI applied to operations: the same dashboards reading food cost variance and table turns today can read, from data the POS already generates, who executes the moments of truth and who does not. That is where an incentive stops rewarding the luck of the shift —the twelve-top, the rainy Friday, the birthday party— and starts rewarding execution of the service protocol, which is the only thing a manager can train and repeat.

Side-by-side comparison

Tips and team motivation, side by side

Split by feel (common mistake)Written rule + measured incentive (Masterestaurant method)
Annual staff turnover — hospitality sector (BLS)✕Bureau of Labor Statistics)✓The lever is shrinking the share driven by perceived unfairness in the cut, the governable part of the shift
Guest satisfaction — full service, dine-in (ACSI 2025)✕82/100 average in full service, down 2% year over year (ACSI Restaurant Study 2025)✓83/100 dine-in versus 79/100 carry-out (ACSI 2025): the leverage point sits at the served table
Delivery channel — full service (ACSI 2025)✕74/100, down 9% year over year (ACSI Restaurant Study 2025): the channel without a server degrades fastest✓Delivery apps average 74, with Uber Eats at 75 and DoorDash/Grubhub at 73 (ACSI 2025): the channel ceiling is set
No-show and real dining room occupancy (OpenTable)✕Reservation arriving from a search engine: the no-show probability tends to run notably higher than a platform booking.✓Platform booking: fewer no-shows, according to OpenTable (2025).
Repeat rate attributable to the digital channel (Restroworks 2025)✕Operator without a mobile ordering app: no measured reorder lift✓Operator with a mobile ordering app: +112% reorder rate versus operators without one (Restroworks 2025)
Data infrastructure for incentives (Spindl 2025 / Sunday 2025)✕Without cloud POS the cut gets rebuilt by hand: 48% of enterprise chains were still off the cloud in 2025 (Spindl 2025)✓Cloud POS and digital menus are already standard across much of the industry: the shift data already exists.
Digital payment as the base of the tip record (Restolabs 2025)✕Cash tips with no trace: the cut depends on whoever remembers the close✓QR code payment is already common across the industry: tips get recorded per check.
Online booking as shift planning input (Restroworks 2025)✕Shift staffed on the manager's hunch✓63% of UK restaurant reservations are already online (Restroworks 2025): the cover forecast feeds the incentive

Finding 1 — Why don't tips reduce turnover?

Tips don't reduce turnover because they pay for a shift already worked, while the decision to quit gets made against what a server expects over the next ninety days.

The U.S. Hospitality turnover runs high, with the dining room above the average and the kitchen below it, and that gap between front and back of house sits exactly where variable income runs highest. If tips motivated, the dining room would churn LESS than the kitchen, and the opposite happens. Volatile income, pushed up by a party of twelve and pulled down by a rainy Tuesday, builds no expectation solid enough to sign a lease against. A server who earned well on Saturday and badly on Tuesday learned nothing about their future in the house.

Finding 2 — The tip-out sheet is the most-read culture document you publish

The weekly tip-out sheet gets more careful reading from your staff than the service manual and the season-opening speech combined. That sheet is where the team checks whether rules existed before the shift or got improvised on Monday morning in front of the first complaint. Consider the scale of it: with high turnover in the sector Bureau of Labor Statistics, every badly explained point of distribution turns into months of recruiting. Diego F. Parra and the Masterestaurant team hold an uncomfortable position here: the exact percentage matters less than its published stability. A 12% share for the bar that nobody touches for a year motivates more than an 18% renegotiated every weekend, because the second one teaches the house that whoever complains loudest gets paid more.

Finding 3 — Guests don't reward charm, they reward the protocol executed

Guests grade the execution of service rather than the server's charisma, and the American Customer Satisfaction Index numbers separate the two cleanly. In 2025 full-service scored 82 out of 100 with a 2% drop, while quick-service landed at 79, and inside full-service, dine-in reached 83 against 79 for carry-out and 74 for delivery, which collapsed 9%. Those nine points between eating in the room and receiving at home have nothing to do with a smile: they have to do with who controls the sequence. LongHorn Steakhouse finished second in full-service at 83 out of 100, Olive Garden fell 2% to 81 and Applebee's rose 1% to 80, per the ACSI Restaurant Study 2025. The distance between 83 and 80 is three points of repeated protocol, and protocol can be trained.

Finding 4 — What if the incentive stopped depending on the check?

Imagine you unhook the variable bonus from the check total tomorrow and tie it to four moments of truth your POS already timestamps: time to first drink, appetizer suggested, dessert offered before the check is requested, and table close within standard.

The server stops praying for the big party and starts working the table actually assigned. Month one, the noise around distribution drops; month three, the effect that matters shows up, because a guest who receives the full protocol comes back. Restroworks documented a +112% reorder rate in 2025 among operators with a mobile ordering app versus those without one, and that figure is useful for what it implies: repeat business gets built on removed friction and measured execution. Bureau of Labor Statistics), keeping the person who executes is worth more than rewarding the one who got lucky.

Finding 5 — Your POS already holds the data your incentive scheme ignores

The system sitting in your register captures the timings, sequences and abandonments you would need to pay for execution, and most houses use none of it beyond balancing the close. Spindl reported that by 2025 some 52% of enterprise restaurants had adopted cloud POS, which unifies service channels into a single record, and that share is the practical ceiling of what can be measured today without buying anything new. Every one of those taps leaves a time-stamped record behind it. The data exists; what's missing is the management decision to turn it into the basis for pay.

Finding 6 — The paradox of high earnings and low morale

A dining room can earn well and be demoralized at the same time, and that contradiction explains why raising tips fails to move the turnover the U.S. The reason is that money arrives without an explanation of cause. When Saturday's cut ran high, the server credits the shift rather than the work; when it ran low, the server blames the table assignment, meaning the manager. Neither case teaches anyone what to repeat. The tension resolves by separating the two currencies: tips settle yesterday's shift and get split by a published rule, while the incentive builds tomorrow's shift and pays for verifiable behavior. Blend them and the variable side of pay becomes a lottery with witnesses.

Finding 7 — Four indicators worth putting on the dining-room board

Track turnover broken out by reason for leaving, because the headline U.S. High turnover in the sector weighs a termination for cause the same as a resignation over the tip split, and those two demand opposite responses. Track satisfaction by channel next, with the ACSI 2025 bar set at 83 out of 100 for dine-in and 74 for delivery. Add return rate, using the Restroworks 2025 reference: +112% reorder among operators with a mobile ordering app. Four numbers, one monthly meeting, zero climate surveys.

Finding 8 — Where to start next Monday

Publish the distribution rule BEFORE the shift and leave it untouched for ninety days, even when somebody shows up Monday morning holding the sheet. That is the cheap move with the largest effect on a turnover rate the U.S. Then pick two protocol behaviors your POS already timestamps —time to first drink and dessert offered, for instance— and pay a small fixed amount for them, separate from tips, across a full quarter. Check the result against ACSI, which put full-service dine-in at 83 out of 100 during 2025 versus 74 for delivery. If your dining room hasn't moved those points in three months, motivation was never the problem: table assignment was, and that gets fixed with a floor plan, not with money.

Finding 9 — Operational definitions: what each number in this analysis actually measures

ANNUAL STAFF TURNOVER: voluntary and involuntary separations over twelve months divided by average headcount for the same period, expressed as a percentage. The U.S. Hospitality turnover runs high, with front of house above the average and kitchen below that level. It says nothing about quality of exit: a termination for cause and a resignation over a tip cut weigh the same, which is why you have to break it down internally by reason before drawing conclusions. ACSI SATISFACTION INDEX: a 0-to-100 scale built from consumer surveys on expectation, perceived quality, and value, published annually by the American Customer Satisfaction Index. Full service scored 82 out of 100 in 2025, down 2%, broken out by consumption mode: 83 dine-in, 79 carry-out, 74 delivery.

Finding 10 — Operational definitions: what each number in this analysis actually measures — in practice

It is diner perception, not a process audit; use it as a trend and channel-gap thermometer, never as a diagnosis of one specific unit. NO-SHOW RATE: confirmed reservations that never arrive over total confirmed reservations. For floor operations the metric is money: every no-show is a dead table at peak hour, and the shift's tip pool shrinks without anyone on the team doing a thing wrong. REORDER RATE: share of diners who order again within a defined window. Restroworks (2025) measures +112% for operators with a mobile ordering app against those without one. It matters for tips because recurrence stabilizes shift volume, and a team that knows Tuesday will also have covers negotiates its own tenure differently.

Finding 11 — Operational definitions: what each number in this analysis actually measures — key points

CONTRIBUTION MARGIN AND PRIME COST: contribution margin is sales minus direct variable cost of the dish; prime cost adds food cost and total labor cost over sales. Neither is touched by tips —the tip belongs to the team, not the business— but the incentive scheme does charge against labor cost, which is why a badly designed incentive pushes prime cost without moving break-even. AVERAGE TICKET AND TABLE TURNS: total sales divided by number of checks, and how many times a table gets seated in a service. These two do respond to server behavior and are therefore the only honest candidates for an incentive. A board that rewards gross sales rewards the big shift; one that rewards average ticket and turns rewards suggestive selling and service pace, both trainable.

Point by point

Consultant's reading: exactly where each scheme breaks

Source of the money that motivates
A · Split by feel (common mistake)Everything comes out of the pool: any adjustment reads as a cut to the team's tips.
B · MasterestaurantTips get split by rule; the incentive charges against the business's labor cost with its own budget.
Verdict: The separated scheme wins. As long as the incentive comes out of the pool, the manager is negotiating with money that is not theirs, and no metric fixes that contradiction.
When the team learns the rule
A · Split by feel (common mistake)After the shift, when somebody asks about their cut.
B · MasterestaurantBefore the shift, printed, with an effective date and one documented exception.
Verdict: Posting first wins. A rule explained afterward is not a rule, it is a decision, and the team reads it as arbitrary even when the number is fair.
Metric the reward sits on
A · Split by feel (common mistake)Gross shift sales, which depend on traffic, day of week, and party size.
B · MasterestaurantAverage ticket, table turns, and guest rating, all recorded by the POS.
Verdict: The normalized metric wins. Rewarding gross sales rewards Friday, and Friday cannot be trained; average ticket can, through suggestive selling and recommendation judgment.
Feedback loop
A · Split by feel (common mistake)Monthly, with the board closing after the month is already gone.
B · MasterestaurantWeekly, public, visible in the locker room.
Verdict: The weekly loop wins. Floor behavior corrected at thirty days has already hardened into habit, and unwinding a habit costs triple what correcting one shift costs.
Traceability of the cut
A · Split by feel (common mistake)Spreadsheet rebuilt on Monday, with 48% of enterprise operators still off cloud POS per Spindl (2025).
B · MasterestaurantCut exported from the system, tips traced by check thanks to digital payment.
Verdict: The system cut wins. A number the manager can edit is a number the team will argue about, and the argument costs more than the error it prevents.
Treatment of the digital channel
A · Split by feel (common mistake)Delivery handled as noise: the pool shrinks and nobody explains why.
B · MasterestaurantChannel mix as a variable in the scheme, with ACSI (2025) marking 74 out of 100 for delivery against 83 in the dining room.
Verdict: Integrating the channel wins. That nine-point gap between dining room and delivery is structural to the channel, and punishing the floor team for it is the most expensive attribution error in the operation.
Service recovery
A · Split by feel (common mistake)The server asks the manager for permission while the guest waits for a decision.
B · MasterestaurantRecovery budget delegated with a written ceiling, resolved at the table.
Verdict: Delegating wins. The guest measures time-to-resolution, not the elegance of the resolution, and every minute of internal consultation costs more than the amount under discussion.
Side-by-side comparison

What most operators do today (and why it fails)

  • Splits the pool with a rule only the manager knows, one that shifts whenever somebody pushes hard enough.
  • Confuses the tip —variable pay for a shift already worked— with the incentive, which should pull future behavior.
  • Rewards the lucky shift: the twelve-top, the rainy Friday, the birthday party with corkage. None of that is skill.
  • Measures the team on gross sales and leaves out service recovery, where an unhappy guest is saved or lost for good.
  • Rebuilds the cut by hand on Monday, with 48% of enterprise operators still off cloud POS per Spindl (2025).
  • Treats hospitality training as an annual event instead of the daily input that holds guest satisfaction up.

The method that actually holds the shift

  • Written split rule, posted BEFORE the shift, with percentages by position and one documented exception.
  • Incentive separated from the pool, tied to three metrics the POS already records: guest satisfaction, table turns, average ticket.
  • Moments of truth in the guest journey defined in a one-page service protocol, each with a named owner.
  • Gamified board updated weekly, not monthly: the short feedback loop is what changes behavior on the floor.
  • Service recovery with a budget delegated to the server, no permission required, within a written ceiling.
  • Dashboard crossing tip-per-check with guest rating, so you see who earns tips THROUGH service and who through table luck.
The numbers that matter

The 2026 scorecard: seven public figures that govern the tip conversation

41%
Front-of-house staff have a 41% annual turnover rate
82/100
full-service satisfaction 2025 (down 2% YoY)
74/100
delivery satisfaction, full service (down 9%)
112%
higher reorder rate with a mobile ordering app
52%
enterprise restaurants already on cloud POS (2025)
75%
Restaurants worldwide using QR codes for digital menus
63%
UK restaurant reservations now made online
83
LongHorn Steakhouse customer satisfaction (2nd full-service)
81
Olive Garden customer satisfaction (down 2%)
80
Applebee's customer satisfaction (up 1%)
Visualization
The numbers, visualized
The numbers, visualized41% Front-of-house staff have a 41% annual turnover rate; 82/100 full-service satisfaction 2025 (down 2% YoY); 74/100 delivery satisfaction, full service (down 9%); 112% higher reorder rate with a mobile ordering app; 52% enterprise restaurants already on cloud POS (2025); 75% Restaurants worldwide using QR codes for digital menusFront-of-house staff have a 41% annual turnover rate41%full-service satisfaction 2025 (down 2% YoY)82/100delivery satisfaction, full service (down 9%)74/100higher reorder rate with a mobile ordering app112%enterprise restaurants already on cloud POS (2025)52%Restaurants worldwide using QR codes for digital menus75%
Sources: meez — Restaurant Employee Turnover 2025 · ACSI Restaurant Study 2025 · Restroworks 2025 · Spindl 2025 · QR Code — QR Code Statistics for Restaurant Usage 2025Chart by masterestaurant.com
Illustrative case (composite)

“We came in splitting tips by seniority and floor turnover ate the whole year, right in line with the high average across the sector. Bureau of Labor Statistics publishes. What changed was not the percentage, it was the rule: we printed it and posted it before every shift, carved out a weekly incentive tied to average ticket and service recovery, and hung the board on the locker room door. Within twelve weeks the evening average ticket climbed and, more to the point, we stopped losing the good server in week two. The Monday argument disappeared because there was nothing left to interpret.”

— Operations manager of a three-unit full-service group, working with the Masterestaurant framework

Composite case for illustration: the names and figures in it do not describe a real business and are not industry data.

How to apply it in your restaurant

How to position your house: three scenarios and the healthy range by segment

Single unit, full service: write the rule before you touch the amount
With one location the problem is almost never the percentage, it is the ambiguity. Post the split rule by position on a printed sheet where the team clocks in, with an effective date and a single documented exception. Benchmark your satisfaction against the 82 out of 100 ACSI (2025) reports for full service, and against the 83 for dine-in: if your served-table rating sits below that reference, the problem is service protocol, not money. Start by measuring two things only, average ticket and one guest rating per shift, because nobody reads a twelve-indicator board in month one. A written rule costs nothing and it is the only thing that kills the Monday argument.
Three to ten units: separate pool from incentive and standardize the cut
At this size the real problem shows up, which is comparison across houses: the server at the high-traffic unit earns more doing less, and that demoralizes whoever holds the difficult location together. Normalize the incentive per cover or per check, never per gross sale. Use the fact that 52% of enterprise operators already run cloud POS per Spindl (2025) so the cut comes out of the system rather than a spreadsheet rebuilt on Monday. Set the feedback loop at weekly: monthly is far too late to correct floor behavior.
Multi-unit group: govern the channel, because the channel moves your pool
Once delivery carries weight, floor tips dilute without the team changing anything. ACSI (2025) measures 74 out of 100 for full-service delivery, down 9% year over year, against 83 in the dining room: that nine-point gap is what your floor manager receives in the form of complaints they never caused. Treat channel mix as a variable in the incentive scheme, not as noise. Use the booking forecast to size the shift and avoid overstaffing that waters down the pool. And if you plan to run incentives with AI, start with the dashboard you already own: the shift data exists, it is simply unread.
The four moments of truth your incentive should actually pay for
Define the guest journey in four points and pay for them: the first welcome inside sixty seconds, the recommendation with judgment —not mechanical upselling—, the active check-back two minutes after the first bite, and service recovery when something went wrong. That last one carries the most weight and almost nobody measures it. Delegate a recovery budget to the server, with a written ceiling, so problems get solved without asking permission: a guest who leaves resolved returns more often than one who never had a problem. With ACSI (2025) showing full service down 2%, a house differentiates itself in those four instants, and each one is trainable.
If your menu is already QR, keep the physical one too
None of that turns the printed menu into a relic: the physical menu controls the experience —service pace, menu narrative, suggestive selling, hospitality— and QR is the complement that solves delivery, accessibility, price changes, and analytics. The Masterestaurant recommendation is BOTH, each in its role. For a tip scheme this matters directly: the server who hands over a physical menu owns a contact moment QR removes, and that contact is exactly where the recommendation with judgment that moves average ticket gets made.
Build the board from what the POS already records
Do not buy new software before squeezing what you own. Export three fields per shift: average ticket per server, number of checks handled, and tip as a percentage of check. That alone separates whoever earns tips through service from whoever earns them through table luck. If you run an exit survey, cross the rating with the server and you have half an intelligent dashboard without writing a line of code. Restroworks (2025) measures a 112% higher reorder rate for operators with a mobile ordering app, so if you already own the channel, add per-server recurrence to the board. Gamification works when the scoreboard is public, weekly, and not arguable; it stops working the day somebody can claim the number is wrong.
✦ AI applied

And with AI?

Personalize the experience, answer reviews and train your service team. Diego F. Parra is an expert in AI applied to restaurants.

Masterestaurant tools & method

Ecosystem tools that solve this point

A tip scheme gets designed on the business model, not on Monday intuition. These three pieces of the Masterestaurant ecosystem cover the three layers this analysis touches: unit structure, AI-driven floor operations, and the cash that pays the incentive.

Order matters: model first, board second, and only then the money conversation with the team. Invert that order and you raise labor cost without moving either average ticket or guest satisfaction.

Diego F. Parra

Diego F. Parra — International consultant, expert in creating and scaling restaurants and in AI applied to restaurants, foodtech and HORECA. Methodology applied in 8.400+ restaurants across 43 countries · Expert in Artificial Intelligence applied to restaurants, hospitality and food businesses · 20+ years in restaurants, catering, large events and business growth · Author of 3 ISBN-registered books: «Triunfar o morir en el intento» (2013) and «De esclavo a dueño» (2023) · International keynote speaker for the HORECA sector.

FAQ

Questions that come in from full-service managers

Is it better to split tips by seniority or by measured performance?

By measured performance, with the rule written before the shift. Seniority rewards tenure, not service, and in a sector with high turnover Bureau of Labor Statistics it excludes the new hires who are actually executing the protocol. Use average ticket and guest rating, both already recorded by the POS.

Is it better to split tips by seniority or by measured performance?

By measured performance, with the rule written before the shift. Seniority rewards tenure, not service, and in a sector with high turnover Bureau of Labor Statistics it excludes the new hires who are actually executing the protocol. Use average ticket and guest rating, both already recorded by the POS.

How much should the incentive weigh against tips in total compensation?

The incentive is a different instrument and must come out of the business's labor cost, not the team's pool. Size it against your prime cost and break-even, never as a percentage of the pool. Mixing the two breaks trust: the team reads any incentive adjustment as a tip cut, and that is where the conversation is lost.

How much should the incentive weigh against tips in total compensation?

The incentive is a different instrument and must come out of the business's labor cost, not the team's pool. Size it against your prime cost and break-even, never as a percentage of the pool. Mixing the two breaks trust: the team reads any incentive adjustment as a tip cut, and that is where the conversation is lost.

Does gamifying service work, or does it end in toxic competition between servers?

It works when the scoreboard is team-based on the experience metric and individual only on the sales metric. Gamify guest satisfaction per person and the team stops helping at someone else's table. ACSI (2025) measures 83 out of 100 dine-in against 74 for delivery in full service: that differential gets won on the floor, through cooperation.

Does gamifying service work, or does it end in toxic competition between servers?

It works when the scoreboard is team-based on the experience metric and individual only on the sales metric. Gamify guest satisfaction per person and the team stops helping at someone else's table. ACSI (2025) measures 83 out of 100 dine-in against 74 for delivery in full service: that differential gets won on the floor, through cooperation.

How does delivery affect the floor's tip pool?

It dilutes it without the team changing its work. ACSI (2025) reports 74 out of 100 for delivery, down 9% year over year, and delivery apps average 74, with Uber Eats at 75 and DoorDash and Grubhub at 73. If your channel mix moved, adjust the incentive scheme before the team notices it in the cut.

How does delivery affect the floor's tip pool?

It dilutes it without the team changing its work. ACSI (2025) reports 74 out of 100 for delivery, down 9% year over year, and delivery apps average 74, with Uber Eats at 75 and DoorDash and Grubhub at 73. If your channel mix moved, adjust the incentive scheme before the team notices it in the cut.

Should I drop the physical menu now that so many diners use QR menus?

No. Keep both. The physical menu controls service pace, menu narrative, and suggestive selling; QR solves delivery, accessibility, price changes, and analytics.

Should I drop the physical menu now that so many diners use QR menus?

No. Keep both. The physical menu controls service pace, menu narrative, and suggestive selling; QR solves delivery, accessibility, price changes, and analytics.

Data & sources

Tips and team motivation by the numbers (2026)

Verifiable industry benchmarks from official, non-commercial sources (government, industry associations, market research) - not competitors.

MetricValueSource
Ideal casual-dining wait before satisfaction drops (falls sharply after 20 min)<15 minScanQueue — State of Customer Waiting 2026
Extra customers a brand can lose for NOT responding to social media comments15% moreSprout Social — Social Media Customer Service Statistics 2025
U.S. diners who still prefer a physical menu over QR81%Toast — How Guests Really Feel About QR Code Menus 2024
Diners who prefer ordering via mobile apps over traditional methods60%Restroworks — Restaurant Mobile App Statistics 2025
Consumers who prefer the restaurant's own site/app over third-party apps71%Restroworks — Restaurant Mobile App Statistics 2025
Customers who expect restaurants to offer digital ordering options85%Restroworks — Restaurant Mobile App Statistics 2025
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Author: Diego F. Parra  ·  Publisher: MASTERESTAURANT®
Content created with AI assistance, reviewed by the MASTERESTAURANT editorial team.
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