Quick Jump Guide

I've spent years helping restaurant chains decide what to put on their menus. And I'll be honest: guessing doesn't work. That's where Datassential comes in. These surveys cut through the noise and tell you what consumers actually want — not what the food blogs are hyping. In this guide, I'll walk through how Datassential food surveys work, why they matter for your business, and how to use them without falling into common traps.

What Are Datassential Food Surveys?

Datassential is a research firm that tracks everything happening in the food industry. Their surveys go beyond basic demographics. They ask about flavor preferences, dining habits, dietary restrictions, and even emotional triggers behind food choices. Unlike simple polls, Datassential uses a large, nationally representative panel — so when they say 40% of consumers are interested in birria, you can trust that number reflects real demand.

One thing I love: they separate awareness from trial from frequency. A trendy ingredient might have high awareness but low repeat usage. That distinction saved a client from launching a ghost kitchen concept that looked hot on Instagram but had zero staying power.

Their team monitors menus from thousands of restaurants across the US (chain and independent). They also run consumer surveys regularly — sometimes monthly, sometimes quarterly, depending on the topic. Data is sliced by region, generation, income level, and even meal part (breakfast vs. dinner).

I remember a specific case: a client wanted to add a plant-based burger. The national trend said "hot." But when we filtered by their core customer (Midwest, family dining), Datassential showed that only 22% of those consumers would order it — and the rest would rather have a better beef burger. That nugget saved them from a costly menu swap.

Key survey types:

  • MenuTrends — what's appearing on menus and how fast it's growing.
  • FlavorIQ — deep dives into specific flavors or cuisines.
  • Snacking & LTO Consumer Insights — limited-time offer effectiveness.
  • Occasion-based studies — why people eat out vs. at home.
Real talk: MenuTrends is my go-to. It shows adoption curves — early stage, growth, mainstream, decline. If a flavor is still early, you can jump in as a pioneer. If it's already mainstream, you need a twist to stand out.

Why Restaurants Rely on Datassential Data

Because it saves money. A single failed limited-time offer can cost hundreds of thousands in wasted inventory and marketing. Datassential surveys help you test concepts before you commit. I've seen operators use it to validate everything from a new dipping sauce to a full breakfast rollout.

Plus, it's not just for big chains. Independent operators can subscribe to lighter versions or buy single reports. The insights are actionable — not academic jargon.

Use Case How Datassential Helped
Regional chain wanted to add a spicy chicken sandwich Survey showed that their customers preferred a medium heat level with a sweet glaze, not Nashville hot. The sandwich sold 3x projections.
A QSR tested breakfast all-day Data revealed morning-only demand; after 11am, customers wanted lunch items. They scrapped the idea and saved kitchen complexity.
Café considered ube lattes FlavorIQ showed ube is trending but mostly among Gen Z in coastal cities. Their audience was 40+ suburban. They passed.

These aren't hypotheticals — I was part of these conversations. The data didn't just confirm hunches; it sometimes flipped them completely.

Using Datassential for Menu Innovation

Here's my step-by-step approach after using these surveys for years:

  1. Start with your core customer. Don't look at national averages. Filter by your region, restaurant type, and price point. A trend that works in New York may bomb in Oklahoma.
  2. Look at the adoption curve. If an ingredient is in the "emerging" phase (
  3. Check the consumer intent data. Datassential asks "how likely are you to order this?" I want at least 60% saying "definitely" or "probably" before I take a concept to R&D.
  4. Validate price sensitivity. Their conjoint analysis shows what price point kills demand. Don't guess — test.
  5. Test with a small batch. Even after surveys, I recommend a limited rollout. Data is a compass, not a map.

A real headache I avoided

One client was dead set on adding a cauliflower crust pizza. Every food magazine was raving about it. I pulled Datassential's pizza report. Sure, 35% of consumers said they'd try it. But the repeat purchase intent was only 12%. Most people ordered it once out of curiosity and went back to regular crust. The client skipped the launch—and I still get thank-you notes.

Common Mistakes When Interpreting Food Survey Data

Even good data can mislead if you're not careful. Here are five mistakes I see all the time:

  • Confusing awareness with demand. Just because 80% have heard of kimchi doesn't mean they'll order it. Look at trial and frequency numbers.
  • Ignoring regional splits. National data is useless if your five locations are all in the Southeast. Always drill down.
  • Chasing trends too late. By the time a trend hits mainstream coverage, the early adopters are already moving on. Datassential's early-stage signals are your goldmine.
  • Overweighting millennials. Every brand wants to be young, but your actual customer might be 55+. Filter, filter, filter.
  • Not combining with operational data. A popular item that's a pain to make will kill your margins. Marry survey insights with your kitchen's reality.
My rule of thumb: If the Datassential data shows less than 40% intent to order, I don't move forward unless there's a compelling strategic reason (like building brand buzz with a niche group).

Frequently Asked Questions

I'm a small restaurant owner — can I afford Datassential data?
Yes, but you probably don't need the full subscription. Buy single reports or check if your local restaurant association has a partnership. I've also seen operators split the cost with their supplier — a win-win.
How often should I check Datassential surveys to stay ahead?
Quarterly is plenty for most chains. But for fast-moving categories like beverages or snacks, a monthly glance at their trend tracker keeps you from missing a wave. Set it and forget it won't cut it.
What's the biggest insight people miss from Datassential survey data?
The "emotional drivers" section. They ask why people choose a dish — comfort, adventure, health, etc. I've seen concepts fail because the flavor was on-trend but the occasion was wrong. A spicy ramen might be great for "adventure" but terrible for "comfort." Match the driver to your brand.
How do I avoid wasting money on reports that don't apply to my concept?
Use their free sample data first. Most reports have a one-page summary. If the demographics don't match your audience, don't buy. Also, the customer success team is actually helpful — email them your concept and they'll recommend relevant studies.