Revolutionizing Brand Research with AI and Open-Ended Questions

June 30, 2025

Revolutionizing Brand Research with AI and Open-Ended Questions

What’s the first thing you think of when you hear “Nike”? Is it a product, like a pair of Air Jordans? Or is it a feeling? For most people, it’s a feeling: determination, inspiration, the echo of a tagline that became a global mantra: “Just Do It” [1].

Brands like Nike have a personality—a set of human-like traits that consumers connect with on an emotional level. But how do you actually measure something as complex as a personality? For decades, researchers have relied on long, structured surveys. These are useful, but they can feel rigid and often miss the spontaneous, nuanced opinions that reveal what people really think.

This guide explores a different way. We'll look at how you can combine the depth of qualitative interviews with the reach of a survey, using AI-moderated conversations and just a handful of open-ended questions to map a brand’s personality. It’s a faster, richer, and more human way to conduct brand research.

Why Brand Personality Is More Than Just a Buzzword

Brand personality isn’t just marketing fluff; it’s the reason customers choose one brand over another, even when products are similar. It’s the difference between a brand you buy and a brand you believe in. Nike’s strategy has always been built on this idea, focusing on emotional storytelling to create a powerful sense of community and personal empowerment [1].

The challenge for researchers has always been capturing this essence authentically. Traditional methods, like using Aaker’s Brand Personality Scale, involve asking respondents to rate a brand across dozens of adjectives on a scale [2]. This gives you structured data, but it doesn’t always capture the why behind a feeling. You might learn that people find Nike "dignified" or "imaginative," but you won't hear the personal story or metaphor that brings that trait to life.

The Limits of Old Methods and the Power of a Good Question

While established methods like Jennifer Aaker’s Brand Personality Scale remain highly relevant and widely used (see https://prophet.com), many researchers have found that open-ended questions can uncover far more nuanced insights. One study, for example, simply asked consumers to describe Nike as if it were a person, revealing traits like "active," "competitive," and "determined" that perfectly matched its heroic image [3].

The problem? Open-ended questions have always been notoriously difficult to manage at scale. Manually reading, coding, and analyzing thousands of free-text or audio responses is incredibly time-consuming and expensive.

So, you were left with a choice:

  • Quantitative Surveys: Great for scale, but limited in depth.
  • Qualitative Interviews: Rich in depth, but limited in scale.

What if you didn't have to choose?

How AI-Moderated Interviews Bridge the Gap

This is where technology creates a new path forward. AI-Moderated Interviews (AIMIs) are one-on-one, conversational interviews led by an AI that can adapt its questions in real time based on a person's responses [4]. Think of it as having a skilled human interviewer who can talk to thousands of people at once, in over 50 languages [5].

Platforms like Glaut use this approach to combine the best of both worlds. Here’s how it works:

  • It Asks Why: Instead of just collecting a one-word answer, the AI moderator probes deeper. If a respondent says Nike is "inspiring," it might follow up with, "That's interesting. What about it feels inspiring to you?" This uncovers the detailed thoughts and opinions behind the initial response [6].
  • It Captures More Data: Because the experience feels more like a natural conversation, people are more willing to share. This approach can capture significantly more information than a standard survey, with richer, more authentic audio-based responses [7].
  • It Delivers Speed and Scale: You can run hundreds or even thousands of these deep, qualitative interviews simultaneously. The platform then analyzes the conversations in real time, identifying key themes and synthesizing the findings into actionable reports—slashing the time it takes to get from data to decision [8].

This is what we mean by qualitative research at scale. It’s a new class of market research that doesn’t force you to trade depth for reach.

A Practical Example: Mapping Nike's Applying Aaker's Brand Personality with 5Framework with 5 Open-Ended Questions

Let's put this into practice. Instead of a 42-item questionnaire, imagine you want to map NikeThanks to AI-moderated interviews (AIMIs), you can apply Jennifer Aaker's brand personality using framework—traditionally requiring a 42-item questionnaire—with just five open-ended questions in an AI-moderated interview single conversational flow.

Here’s one way you could approach it:

  1. "If Nike were a person, how would you describe their personality?"
    • This is the classic projective technique. It immediately frames the brand in human terms, inviting descriptions like "competitive," "energetic," or "confident."
  2. "What kind of car would this person drive?"
    • This question uses analogy to get at lifestyle and values. Would they drive a rugged Jeep, a sleek Tesla, or a practical sedan? The answer reveals perceptions of ruggedness, sophistication, or sincerity.
  3. "Imagine this person is giving advice to a friend. What would they say?"
    • This taps directly into the brand's core message. For Nike, you’d expect to hear variations of "Just Do It," "Push your limits," or "Believe in yourself."
  4. "If Nike were an animal, what would it be and why?"
    • This uncovers instinctual associations. Is it a lion for its leadership, a cheetah for its speed, or an eagle for its vision? The "why" is where the real insight lives.
  5. "What's a common misconception people have about this person?"
    • This is a great way to uncover potential brand challenges or tensions. Maybe some see Nike as "overly commercial" or "too intense," providing a balanced view of the brand's perception.

In a Glaut interview, each answer would trigger intelligent, adaptive follow-ups. The result isn't just a list of adjectives; it's a collection of stories, feelings, and metaphors that build a rich, multi-dimensional portrait of the brand.

From Raw Conversation to Actionable Insight

The true revolution isn't just in collecting the data, but in analyzing it. An advanced market research software platform doesn't just hand you thousands of transcripts. It does the heavy lifting by:

  • Automating Theme Detection: Identifying recurring concepts like "empowerment," "performance," and "community" across all interviews.
  • Analyzing Sentiment: Understanding the emotional tone behind the words.
  • Extracting Key Quotes: Pulling out the most powerful and representative verbatims.

You get a strategic report that visualizes the brand’s personality, grounded in the authentic voice of the consumer. This allows brand managers and agencies to move faster, validate creative ideas with more confidence, and ensure their strategy aligns with how the brand is truly perceived in the wild.

The Future of Brand Research is Conversational

Understanding your brand's personality is fundamental to building a lasting connection with your audience. For too long, researchers have been constrained by the trade-off between the depth of qualitative methods and the scale of quantitative ones.

AI-moderated interviews are changing the equation. By enabling rich, open-ended conversations with thousands of people, platforms like Glaut are providing a faster, more consistent, and more insightful way to gather qualitative data [8].

This isn't about replacing researchers. It's about empowering them with a better tool—one that helps them get closer to the human truths that build iconic brands. The future of brand research is less about asking people to check boxes and more about starting a really good conversation.

Citations

Glaut

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