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Conversational AI
Rich Qual Meets Scalable Quant
At Mindlab, we’ve revolutionised data capture and analysis by embedding AI directly into our research pipeline.
This approach doesn’t just enhance the depth of our insights; it transforms the entire survey experience, taking it far beyond the limitations of traditional methods.
Imagine combining the vast reach of quantitative surveys with the depth of qualitative interviews, this is exactly what we do.
Our AI moderator is seamlessly integrated into our surveys, offering an engaging, interactive experience where respondents feel heard and understood. By using AI to ask smart, probing follow-ups, we move beyond shallow answers to uncover rich, nuanced insights.
Why use an AI moderator over standard open-response questions?
Traditional open-response fields often leave us with surface-level data. Our AI moderator flips this on its head.
Instead of asking, “Do you like our product?”, which might lead to a yes or no answer, it might say, “Can you describe your experience using our product?” and then pose specific follow-ups, such as “You mention the packaging being difficult to open, what specifically do you think caused this? Are there other similar products you’ve tried that were easier to open?”
This dynamic engagement elicits deeper, more thoughtful responses and captures stories that open-ended fields simply can’t.
Designed like a seasoned researcher
Our AI moderator doesn’t just ask questions; it’s designed like a skilled qualitative interviewer. It adheres to core principles:
Open-Ended Questions
“Can you walk me through how you use this product daily?” instead of “Is it easy to use?”
Probing for Depth
If a participant says, “I found it confusing,” the chatbot might follow with, “What aspects were confusing, and how did you work around that?”
Mirroring Responses
To ensure clarity, it reflects what participants say using different language, making sure no ambiguity is left in the answers.
This is more than just good design, it’s adaptive interviewing at scale.
Tailored interviews at the click of a button
Like briefing a human researcher, our moderator can be prepped to target specific research objectives.
For instance, if we’re studying breakfast habits, we can instruct the moderator to explore the participant’s morning routine, with a focus on breakfast asking about rituals, who’s present, how long it lasts, and any emotional ties.
This allows us to dig into specifics, whether it’s daily skincare routines, purchase decision-making, or brand loyalty, all while following the most interesting conversational leads.
Scaling qualitative insights with AI-powered analysis
The power of our approach doesn’t stop at gathering insights.
Once the AI moderator finishes its conversations, we deploy Large Language Models (LLMs) to analyse the data as a skilled qualitative researcher would only faster and at scale.
Our AI identifies key themes, categorises responses, and even quantifies how often certain ideas come up. For example, in a study on beverage preferences, it could reveal that sustainability was mentioned more frequently by younger participants, while taste variety was a key theme for another segment. This thematic clustering lets us uncover patterns and trends that are otherwise missed in small-scale interviews.
We can even dive deeper, segmenting participants based on purchase behaviour, age, or location and then exploring how themes like “value for money” or “brand trust” play out across these groups.
No longer are we limited to small samples; now, we have rich qualitative insights that can be scaled and quantified across hundreds or thousands of participants.
Driving informed decisions
This combination of AI moderated interviews and large-scale qualitative analysis allows us to deliver actionable insights that are both deep and reliable.
Whether it’s understanding customer motivations, product perceptions, or brand loyalty, our innovative approach means you’re no longer choosing between quantitative breadth and qualitative depth, you’re getting both.
And the result? More informed decisions, faster.
Seen what we do but wonder who we do it for?
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