AI assistant · N5 Complete system
Stage-by-Stage Customer Journey Builder for Restaurants
Pick the channel above and the assistant builds your guest's journey the way a great host would: from the guest's chair, micro-moment by micro-moment, on the house scale —from «I hate it» to «WOW»—, with the effort each step costs them and what they said in their own words. All on a map that reads at a glance, with the five frictions that cost the most and who fixes them.
N5Complete system
Several chained pieces you install and operate over time, with their review cadence. It changes how the business runs, not one decision.
◆ This assistant 117 of the 170 published assistants are at this levelIs this for you?
What it does and what you get
- To see the evening the way the guest lives it and not the way the house tells it.
- What a guest takes home is not the average of the visit: it is two or three micro-moments —the most intense one and the last one— and how much it cost them to get to each.
- This assistant splits the journey into micro-moments, scores them on the six-step scale of MASTERESTAURANT's Customer Journey format with evidence alongside, measures the effort each one asks of the guest and listens before giving an opinion: 30 reviews and 10 guests on their way out.
- The result is a one-page map with the experience curve, the effort strip and the touchpoints that belong to nobody, and beneath it the five frictions with their monthly cost.
- First lower the effort, then raise the WOW.
What you end up with
One single eight-section customer_journey.html to hang on the wall: the control cover; THE MAP ON ONE PAGE with the six stages, the experience curve on the six-step scale —I hate it, Bad, Basic, Functional, I like it, WOW—, the effort strip from 1 to 5 and the orphans flagged; the micro-moment table in the house format with the emotion heard and the evidence for each score; the five frictions that cost the most with their calculation in plain sight; three to five repeatable WOW moments with their cost per guest; the return at one, seven and thirty days; the 90-day plan with owner, date, cost and indicator; and the blank walk sheet to walk the restaurant on foot, with the self-audit calculated.
EXAMPLE This is what you getAn example built with Tizón Norte, one of the house's fictional businesses.Not your data: your result is built with YOUR restaurant's.See the full example →Sample result
The owner asked this: «A 110-seat grill in Mexico City, 640-peso check, we sell 2.88 million a month. On Google we have 4.2 with 610 reviews and only 14% come back within 90 days. People leave the table happy and still do not return. I want the full dining-room journey, with what guests say, not with what we believe.»
Before scoring, the house listened: the last 30 Google reviews and 10 guests on their way out. This is the journey, micro-moment by micro-moment, on the house scale (1 I hate it · 2 Bad · 3 Basic · 4 Functional · 5 I like it · 6 WOW) with the effort it costs the guest from 1 to 5.
| Stage | Micro-moment | Experience | Effort | Emotion heard | Who manages it |
|---|---|---|---|---|---|
| Discovery | D1 · Searches «grill near me» | 3 · Basic | 2 | curiosity | 🔴 ORPHAN |
| Discovery | D2 · Sees the short rib reel | 5 · I like it | 1 | craving | Community manager |
| Discovery | D3 · A friend recommends it | 5 · I like it | 1 | trust | Nobody measures it |
| Decision | C1 · Reads three recent reviews | 2 · Bad | 2 | doubt | 🔴 ORPHAN |
| Decision | C2 · Looks for the menu and prices | 3 · Basic | 3 | confusion | Community manager |
| Decision | C3 · Messages on WhatsApp to book | 2 · Bad | 4 | impatience | Host (only on shift) |
| Arrival | L1 · Hands the car to the valet | 3 · Basic | 3 | tension | External provider |
| Arrival | L2 · Walks through the door | 4 · Functional | 1 | relief | Host |
| Arrival | L3 · Stands waiting without knowing how long | 1 · I hate it | 5 | annoyance | Host |
| Arrival | L4 · Reaches the table | 4 · Functional | 1 | calm | Floor captain |
| Consumption | M1 · Gets the fresh tortilla | 6 · WOW | 1 | surprise | Floor captain |
| Consumption | M2 · Orders the cut and the doneness | 4 · Functional | 2 | trust | Server |
| Consumption | M3 · Waits for the starter | 4 · Functional | 2 | conversation | Head chef |
| Consumption | M4 · The cut arrives | 3 · Basic | 3 | disappointment | Head grill cook |
| Consumption | M5 · Asks for another round | 3 · Basic | 4 | waiting | Server |
| Consumption | M6 · Lingering and dessert | 5 · I like it | 1 | pleasure | Server |
| Exit | S1 · Asks for the bill and waits | 2 · Bad | 5 | hurry | Cashier |
| Exit | S2 · Says goodbye | 3 · Basic | 2 | indifference | Host |
| Exit | S3 · Waits for the valet to bring the car | 2 · Bad | 4 | tiredness | External provider |
| Return | R1 · 30 days go by with no news | 2 · Bad | 1 | forgotten | 🔴 ORPHAN |
| Return | R2 · Chooses where to celebrate | NOT MEASURED | — | — | Community manager |
| Return | R3 · Searches for the house again | NOT MEASURED | — | — | 🔴 ORPHAN |
The peak of the evening is the fresh tortilla: 14 of 30 reviews name it. The end is the sidewalk: 14 minutes waiting for the car. Those are the two moments the guest takes home, and today the evening ends on the worse of the two. 12 of 22 micro-moments are below FUNCTIONAL and 4 touchpoints belong to nobody.
Sorted by what they cost a month, not by what bothers most. They add up to 263,546 MXN a month, 9.2% of sales.
| # | The friction, as a fact | The calculation | Per month |
|---|---|---|---|
| 1 | Nobody writes after the visit: 0 messages and only 14% return within 90 days | 3 points of 4,500 covers = 135 covers × 640 MXN | 86,400 MXN |
| 2 | Booking WhatsApp answered in 38 minutes Thursday to Saturday | 180 requests × 1/3 answered late × 1/2 already booked elsewhere = 30 tables × 3.1 × 640 MXN | 59,520 MXN |
| 3 | 7% of cuts come back for doneness | 2,475 cuts × 7% = 173 redone cuts × 290 MXN cost | 50,170 MXN |
| 4 | 11 minutes standing at the door with no promised time; 1 in 9 groups leaves | 22 groups × 3.1 × 640 MXN | 43,648 MXN |
| 5 | The bill takes 9 minutes once asked for | 12 tables without a second seating × 3.1 × 640 MXN | 23,808 MXN |
Out of the plan, as a decision with the provider: the 14-minute valet wait at the exit. It is not dressed up as an improvement: it is negotiated.
Each on a micro-moment already at FUNCTIONAL or above, and none on an effort of 4 or 5: a WOW on top of an 11-minute wait reads as make-up.
- Discovery · D3. Whoever arrives recommended gets the first tortilla with the house chile butter, «from the person who sent you». Host and server · 8 MXN per guest · checked with the «how did you hear about us?» box and an «R» on the ticket.
- Arrival · L4. The table waits with the house salsa served and a card with the booking name. Host · 4 MXN · card on 9 of 10 booked tables.
- Consumption · M6. The grill cook comes out with the last tortilla and asks how the doneness was. Grill cook on shift · 6 MXN · a «P» on the ticket.
The three together cost 18 MXN per guest: 2.8% of a 640 MXN check.
Illustrative example generated with a fictional restaurant. Not a promise of results, not a client case.
This is 3 of 5 parts. Behind the wall are the two pieces that turn the map into execution: the return written day by day —channel, message, who sends it and with what permission— and the 90-day plan with the five fixes, their owner, date, cost and the review routine.
See the full example — free accountWorks with these AIs
How to use it
Which of your data it uses
This assistant works with 18 of the 24 fields in «My Restaurant», among them Restaurant name, Business type and Cuisine or concept. It does not ask out of curiosity: these are what make the answer speak about YOUR scale instead of an industry average — the same calculation on a business of another size returns a number you cannot decide with.
You fill them once and they apply across the library, so the second assistant you open already starts with them in place. Whatever you leave blank, the assistant asks for one thing at a time instead of inventing it, and says so before answering, so you know what it is working from.
Always up to date
Every assistant carries a visible version and date. When an AI changes how it works, the assistant's version goes up and you see what changed.
v1.0.02026-08-27Born on Diego's brief (2026-08-27): «we are missing a professional stage-by-stage customer journey builder for restaurants». It merges the eight journey cards in c29 —general journey, by buyer persona, by channel, by consumption moment, by consumption reason, for reservations, for delivery and for events— plus the integral experience map, which were ONE axis written nine times: the CHANNEL. The six stages of the route are the deliverable's structure and not a variant, so they live inside it and not in the selector.v1.0.12026-09-21The deliverable stops being an analysis in blocks and becomes a printable OPERATING DOCUMENT: one customer_journey.html with the print button inside, sixteen sections, THREE FIGURES — the journey band, the emotion curve and what each friction costs a month, each with its data table — and the blank landscape walk sheet. Micro-stages arrive: a stage cannot be fixed and a micro-stage can.v1.1.02026-09-25Diego's brief (2026-09-25): improve the Customer Journey Builder with the same great-host logic, inspired by the house format, «simple but powerful, highly graphic». The role becomes a world-class hospitality experience director who designs from the guest's chair. The method is MASTERESTAURANT's Customer Journey format —micro-moment, activity, six-step experience level (I hate it · Bad · Basic · Functional · I like it · WOW), perceived effort, emotions heard and opportunities—, with evidence beside each score and the rule of lowering effort before raising the WOW. The deliverable goes from sixteen sections to eight and gains THE MAP ON ONE PAGE. The example is Tizón Norte, a fictional Mexico City grill from the library's cast of houses.Same method, another variant
Inside the app this is a single control: you press it and the assistant reframes itself, including the variants that don't appear here because they don't have their own page yet.
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