OPERATIONAL INTELLIGENCE FOR MULTI-LOCATION RESTAURANTS
Kernel analyzes guest feedback across your locations and competitors to surface operational patterns, show where they’re happening, and tell you what deserves attention.
Send us your locations. No system access required.
Three recent reviews are pointing toward the same change.
Northside
4.5
Stable vs. prior period
Great food, but portions felt smaller.
Still good, but harder to justify for the price.
Used to leave full. Lately, not really anymore.
Previous period 7%
Kernel keeps the whole group in view and brings forward the locations where something is actually changing.
Stable locations stay quiet until there’s a reason to look.
Start with the exceptions. Go deeper from there.
Once guest feedback is structured across locations, time, and competitors, you can ask more useful questions of it.
What do you want to understand?
Order accuracy
Guests mention missing or incorrect items here far more often than at the other locations.
order accuracy complaints
order accuracy complaints
order accuracy complaints
3.5× group average
order accuracy complaints
“Our order was missing two items.”
“Food was good, but the takeout order was wrong again.”
Across hundreds of shifts, tables, and locations, guests notice things management cannot watch all at once.
Guest reviews. Everyday moments. Unfiltered language.
Finds what’s repeated and groups it into key topics.
“Our server Elena was incredible. She made the night special.”
184 mentions
“Best mushroom pappardelle around. So much flavor.”
127 mentions
“The garden patio is why we keep coming back.”
142 mentions
“Feels a bit expensive for the portion size.”
91 mentions
“Same pasta as last time, but it tasted completely different.”
263 mentions
The same topic across locations, time, your group, and nearby competitors.
Service praise across your Italian restaurants.
Service praise at Old Town · April to September.
Compare service praise with your group average.
Service praise at nearby Italian restaurants.
Kernel turns that language into patterns you can compare.
Give Kernel your locations. It starts with the feedback your business already generates, builds the history, learns what’s normal, and starts watching for meaningful changes across the group.
“Our server was incredible.”
“The patio is why we keep coming back.”
“Same pasta as last time, but it tasted different.”
All set and ready to analyze.
We’ve analyzed your existing guest feedback.
We’ve learned what’s normal for your group.
You’ll start getting insights as new feedback comes in.
Monitoring your 12 locations
They keep reviewing as they already do.
Your team keeps running the restaurant.
Give us your locations and we can begin.
Nothing new has to happen for Kernel to start seeing more.
By the time your team sits down, Kernel has already narrowed the week to the changes worth discussing.
24 locations · Sep 7–13
5% → 16% · third week
14% vs 4% group average
Now leading the group
No material change this week
Start with what changed. Open the evidence when you need it. Leave with a clearer place to look.
Next week, Kernel shows you what happened after.
Kernel is easier to judge on your own restaurants than on ours.
Add the locations in your group and we’ll build a first analysis from the feedback your business already generates.
No credit card required.
