Case Study

How Sweetgreen Scaled Consumer Research 5x at 1/3 the Cost

Fast-casual dining leader uses AI-moderated interviews to understand evolving consumer preferences at unprecedented scale.

Key Impact

  • 15x the research scale with the same team
  • 21/3 the cost per interview vs. traditional methods
  • 3Insights delivered in days instead of weeks

5x

Research Scale

Interviews conducted vs. previous quarter

1/3

Cost per Interview

Compared to traditional methods

48hrs

Time to Insights

From study launch to report delivery

The Challenge

Sweetgreen needed to understand rapidly shifting consumer preferences across health-conscious dining, seasonal menu development, and sustainability messaging. Traditional focus groups were too slow and expensive to keep pace with their innovation cycle.

The Solution

Using Revelo's AI-moderated interviews, Sweetgreen was able to run simultaneous studies across customer segments — from loyal regulars to lapsed customers — gathering deep qualitative insights at a fraction of the traditional cost and timeline.

The Impact

By scaling to 5x their previous research volume at 1/3 the cost, Sweetgreen now makes data-driven menu and marketing decisions faster than ever. The AI moderation caught nuanced preferences around ingredient sourcing and sustainability that informed their seasonal strategy.

We went from guessing about menu preferences to having deep consumer data for every seasonal launch.

VP of Consumer Insights, Sweetgreen

Listen to your customers

See how AI-moderated interviews can transform your research.

ნუ გამოიცნობ, უბრალოდ მოუსმინე.

ნახეთ, როგორ შეუძლია AI-ზე დაფუძნებულ ინტერვიუებს თქვენი კვლევის ტრანსფორმაცია პირდაპირ დემოზე.

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