Packaging familiarity as a trust signal
Qualzy automatically processes every participant submission the moment it arrives — generating a translation, a plain-language summary, and a structured set of key points with direct verbatim quotes. For video and audio, a transcript is created first, then key points extracted from it: a 20-minute recording becomes navigable, structured insight without anyone watching the whole thing.
AI processes each individual participant submission immediately upon receipt - whether that's a video diary, an audio clip, a text post, or a form. No waiting. No batching. It processes as responses arrive.
A response arrives - video diary, audio clip, text post, or form answers. Any submission type triggers the pipeline immediately.
For video and audio, a transcript is auto-generated first. Then AI works across the transcript or text to produce three outputs automatically:
A 20-minute video becomes a focused set of key points, each with timestamped verbatims. Researchers never need to watch the full recording. Maizy Chat can query the dataset from this point on - even while fieldwork is still running.
Maizy Chat lets researchers ask questions of the dataset in plain language - and get answers grounded in the structured key points AI has already extracted. No raw transcript hunting. No manual coding. Just a conversation with your data.
Critically: Maizy Chat is available at any point during or after fieldwork. You don't need to wait for fieldwork to close. The moment responses start arriving and key points are generated, you can start querying.
Three themes emerge consistently: habit and inertia (mentioned by 67 participants), perceived risk of quality change (54 participants), and loyalty rewards or subscription discounts already in place (41 participants). Price alone is rarely the primary barrier.
38 participants identified price as primary. Highest concentration in the 45–54 age group (14 participants) and among participants who completed the Household Budget activity. I can pull their key points if helpful.
Concept B generated mixed emotional responses. Initial excitement around the redesign (noted in 29 key points) but a recurring concern about it feeling "too premium" - 17 participants used language suggesting it felt less accessible than the current packaging.
AI automatically generates two layers of distillation for every participant submission - so researchers can move faster without missing anything important.
Each submission gets a brief AI-generated summary the moment it arrives. Skim 50 responses in the time it would take to read 5 in full. Perfect for early-fieldwork orientation and flagging outliers.
The deeper feature. Extracted from the full response - from the transcript for video and audio submissions, from the text for written posts. Each key point is an overall thought paired with verbatim quotes. For video, each verbatim becomes a clipable moment.
A 20-minute video diary becomes 6 focused key points, each with timestamped quotes you can clip and add to a reel.
In a traditional focus group, a skilled moderator can explore depth with eight or ten participants. AI-powered probes give every participant that same intelligent follow-up — however large the sample.
The AI probe reads what the participant actually said and asks a meaningful follow-up question based on that specific response - not a generic prompt applied uniformly to everyone.
Participants respond in their language. The probe fires in their language. All responses are processed through Qualzy's multilingual pipeline. Research depth without language barriers.
Run a 500-person async study and every participant gets a probed, explored response. The depth you'd normally only achieve with a one-to-one interview - at sample sizes that make findings statistically meaningful.
"I like the product but the new packaging doesn't feel right. It's too different."
You mentioned the packaging feels "too different" - can you tell me a bit more about what specifically has changed that feels wrong to you? Is it the colours, the layout, the materials, or something else entirely?
"It's the colours mostly. The old version was warmer. This one looks colder, more corporate. The original felt like something someone had made with care."
Qualzy Protect detects AI-generated responses, duplicate participants, and unusual completion patterns. The system flags; you review. Quarantine-first workflow - nothing is automatically disqualified. Researchers stay in control of every decision.
A sandbox for thinking through how AI could best serve a specific project before fieldwork begins. Experiment with activity types, probe approaches, and analysis strategies in a low-stakes environment. This is research planning - not execution. Helps researchers design studies with AI in mind from the outset.
When moderators tag themselves as working in a non-native language, AI assists with phrasing, tone, and cultural nuance. Paired with AI Moderator Probes, it means researchers can moderate credibly in markets they don't speak fluently - without losing depth or sensitivity.
Theme Analysis is the one AI feature that requires all data to be present. It runs after fieldwork closes — when you have the complete picture.
Once fieldwork closes, researchers generate themes to identify the core insights across the full dataset. For each theme, Qualzy finds the best supporting evidence - the verbatims and clips that make the case most powerfully.
"The other really important element in Qualzy is the AI analysis. I think that is basically transformative for these sorts of platforms."
Hamish Kynoch, Head of Qualitative Research — Discovery Research
"Qualzy AI features are there just for those who want them - not jammed in just because it's possible."
"We believe in AI that helps people do their jobs faster, more flexibly, and frees them up to do what only human research experts can do."
"The first generation of research AI tools were all about promise. Our AI features are built to be actually useful — not impressive on a slide, useful in a project."
Every AI feature in Qualzy solves a specific, real problem researchers face. If it doesn't make research meaningfully faster or better, it doesn't ship.
AI flags, suggests, and structures. Researchers decide. A Qualzy Protect flag, a Maizy Chat summary, a key point: in every case, the human is the authority — not the algorithm.
Key points, verbatims, probes, themes — each feature is designed by people who understand qual research, not just AI capability. The result reads like something a researcher made, because it was.
Tell us about your current analysis process — the volume, the video, the reporting deadlines. We’ll ask a few questions and You’ll have a clear picture about how Qualzy could work for you by the end of the call.