DECISIONS · MENU

Build the menu that keeps guests coming back.

SignalFlare reads the patterns behind every order, what guests tell us in research, and the market around each store, so you know what every item does for traffic and the check.

Talk to Sales

WHAT WE OFFER

Know which items earn their spot.

The right menu move starts with knowing the role each menu item plays in your brand story. Some items draw traffic, some lift the check, and some only add work.

The right menu move starts with knowing which guests each item brings in. We help you get there with data, tools, models, and guidance.

OUR DATA

Demand Dynamics

See the market around every store.

Foot traffic, spend, and demographics for every trade area, next to your own sales mix.

YOUR WORKSPACE

Navigator

Go deeper into your menu than ever.

Go deeper into your menu than ever before.

Collaborate with AI agents to uncover what an item contributes, what it sells with, the share of transactions it captures, and how an LTO landed, then turn what you find into a report.

Collaborate with AI agents to uncover what an item contributes or how an LTO landed, and generate reports.

OUR EXPERTS

Menu engineering team

Add menu expertise to your team.

Our menu engineers run the guest research and build your scorecard and menu blueprint with you.

FROM THE FIELD

“Navigator is huge. Data is effectively useless without knowing what to do with it. Navigator removes that barrier.”

“Navigator is huge. Data is effectively useless without knowing what to do with it. Navigator removes that barrier.”

“Navigator is huge. Data is effectively useless without knowing what to do with it. Navigator removes that barrier.”

MARKETING DIRECTOR · LIMITED SERVICE BRAND, TEXAS

1 session

Targeting brief built and handed to the agency

Outperformed

The brand’s existing location data provider

All locations

Workflow rolled out across the system

Read the case study →

THE APPROACH

Keep your menu engineered for your markets, your seasons, and your numbers.

Make every menu change knowing how it will land with your guests and your P&L.

REACH

Know which items earn their place.

Know which items earn their place.

Guest research shows which items would draw guests nothing else on the menu would, and where demand would go if one came off. A quiet seller holding a loyal group stays on.

WITHOUT IT

A cut that saves food cost and quietly loses your regulars.

SURVEYED GUESTS REACHED AS ITEMS ARE ADDED

ITEM A

ITEM B

ITEM C

ITEM D

ITEM E

ITEM F

THE LAST THREE ADD ALMOST NO ONE NEW

PLACEMENT

Give your best items the best space.

Give your best items the best space.

We compare board space with sales and give your designers a blueprint grounded in research, ready for every reset and every season.

WITHOUT IT

Prime space spent on last year’s favorites.

MENU BOARD · WHERE GUESTS LOOK FIRST

PRIME

PRIME

PRIME

HIGH-CONTRIBUTION ITEMS GO WHERE THE EYE LANDS

IMPACT

Check every change against the P&L.

Check every change against the P&L.

Check and profit impact before a change prints, and a clear read on how it landed after. It runs on the same model as your pricing, so a menu change never works against a price move.

WITHOUT IT

Savings on paper, lost sales in the P&L.

ITEM SCORECARD

KEEP

Holds a loyal group no other item reaches

CUT

Little new reach, heavy on the line

MOVE

Strong contribution, hidden on the board

KEEP

Drives the check on its own

IN NAVIGATOR

NAVIGATOR

Turn a hunch into a case you can take to the table.

Turn a hunch into a case you can take to the table.

Navigator is SignalFlare’s analytical workspace. Its AI agents work through your menu and market data alongside your team, testing each hypothesis across stores and dayparts and building the case with the reasoning attached.

Navigator is SignalFlare’s analytical workspace. Its AI agents work through your menu and market data alongside your team, testing each hypothesis across stores and dayparts and building the case with the reasoning attached.

Meet Navigator

AS
SignalFlare AI
/
Mission Hill Group
/
Menu attachment · SignalFlare Cafe
/ Attachment review
Modeled data
Project · 4 locations · updated Aug 6
Menu attachment · SignalFlare Cafe
Everything behind the fall menu reset: modeled POS by daypart, trade-area demand, the summer LTO read-out, and the reasoning from every chat in here.
Chats
Summer LTO: incremental or cannibalized? JUL 22
Trade-area demand, four locations JUL 09
Artifacts Summer LTO read-out Menu mix by daypart
Ask Navigator… (@ for datasets & files)
Build
You9:14 AM
Navigator9:14 AM
Working
Reading modeled POS: 4 locations, 18 months
Measuring attachment by item and daypart
Comparing stores against trade-area demand
Thought for 5 steps
Your hypothesis holds. I compared sides, drinks, and desserts on sandwich orders by daypart, then checked each store.
The biggest gap is drinks at dinner: 31% of dinner sandwich orders include one, against 52% at lunch. Same guests, different habit.
That makes the case for moving drinks beside the sandwiches on the dinner board. I'd test it in two stores first; the reasoning stays attached.
|Ask Navigator… (@ for datasets & files)
Build
Sandwich attachment · SignalFlare Cafe DRAFT
Attach rate · 4 locations · modeled POS through Jul 31
What rides along with a sandwich
SIDES
Fries
On most sandwich orders, all day.
Lunch
64%
Dinner
58%
Late night
61%
DRINKSBiggest gap
Fountain drinks
Strong at lunch, drops off at dinner.
Lunch
52%
Dinner
31%
Late night
44%
DESSERT
Cookies
Small and steady across dayparts.
Lunch
9%
Dinner
12%
Late night
7%
Drink attach rate at dinner, by storeDinner
Store 138%
Store 227%
Store 333%
Store 422%
Suggested test
Dinner board: drinks beside sandwiches Two stores first Read-out after four weeks
Reasoning attached: 5 steps, attachment by daypart, store comparison, trade-area demand. Nothing here is applied.
Open reasoning
Share
AS
SignalFlare AI
/
Mission Hill Group
/
Menu attachment · SignalFlare Cafe
/ Attachment review
Modeled data
Project · 4 locations · updated Aug 6
Menu attachment · SignalFlare Cafe
Everything behind the fall menu reset: modeled POS by daypart, trade-area demand, the summer LTO read-out, and the reasoning from every chat in here.
Chats
Summer LTO: incremental or cannibalized? JUL 22
Trade-area demand, four locations JUL 09
Artifacts Summer LTO read-out Menu mix by daypart
Ask Navigator… (@ for datasets & files)
Build
You9:14 AM
Navigator9:14 AM
Working
Reading modeled POS: 4 locations, 18 months
Measuring attachment by item and daypart
Comparing stores against trade-area demand
Thought for 5 steps
Your hypothesis holds. I compared sides, drinks, and desserts on sandwich orders by daypart, then checked each store.
The biggest gap is drinks at dinner: 31% of dinner sandwich orders include one, against 52% at lunch. Same guests, different habit.
That makes the case for moving drinks beside the sandwiches on the dinner board. I'd test it in two stores first; the reasoning stays attached.
|Ask Navigator… (@ for datasets & files)
Build
Sandwich attachment · SignalFlare Cafe DRAFT
Attach rate · 4 locations · modeled POS through Jul 31
What rides along with a sandwich
SIDES
Fries
On most sandwich orders, all day.
Lunch
64%
Dinner
58%
Late night
61%
DRINKSBiggest gap
Fountain drinks
Strong at lunch, drops off at dinner.
Lunch
52%
Dinner
31%
Late night
44%
DESSERT
Cookies
Small and steady across dayparts.
Lunch
9%
Dinner
12%
Late night
7%
Drink attach rate at dinner, by storeDinner
Store 138%
Store 227%
Store 333%
Store 422%
Suggested test
Dinner board: drinks beside sandwiches Two stores first Read-out after four weeks
Reasoning attached: 5 steps, attachment by daypart, store comparison, trade-area demand. Nothing here is applied.
Open reasoning
Share

The outcome you can check.

A scorecard for every item

Keep, cut, or reposition, with the reasoning behind each one written down.

A menu that keeps up

Revisit reach, placement, and impact each season without starting over.

A case leadership can sign off on

Check and profit impact estimated, and a test plan in place, before a single menu prints.