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Depth at Scale: How Culture Foundry Runs Qual with AI-Interviews

How Culture Foundry used Yazi's AI Interviewer on WhatsApp to deliver in-depth qualitative research at scale — preserving the probing, immersive methodology they're known for, while cutting roughly 20 hours off every project.

Culture Foundry — Yazi Case Study
YAZI CASE STUDY

How Culture Foundry used Yazi's AI Interviewer on WhatsApp to deliver in-depth qualitative research at scale — preserving the probing, immersive methodology they're known for, while cutting roughly 20 hours off every project.

~20 hrs
Researcher time saved
per study
50
In-depth interviews
in a single project
100%
Depth of insight
preserved
Client
Culture Foundry
Industry
Market Research
Location
South Africa
Specialty
Immersive qualitative

Project Overview

Culture Foundry is a market research agency renowned for rich, deeply immersive qualitative insight — the kind of work usually reserved for a moderator, a microphone, and an hour of undivided attention. Their clients include leading consumer brands looking for the "why" behind the "what".

Yazi partnered with Culture Foundry as an ongoing research partner, deploying its AI Interviewer via WhatsApp across multiple studies for different end clients. The AI was trained to ask — and probe — in Culture Foundry's signature voice, freeing the team from the logistics of manual fieldwork without losing the depth their reputation is built on. One exemplar project — an in-depth consumer study for a leading global beverage brand — delivered 50 high-quality interviews at pace and is used throughout this case study to illustrate the approach.

The Challenge

Culture Foundry's manual, in-depth interview methodology produced exceptional insight — but the process was difficult to scale under real-world deadlines.

Time-Intensive Fieldwork

Every manual in-depth interview demanded recruiter and moderator time, stretching studies over days and limiting the number of participants per project.

Scale vs. Depth Trade-Off

Tight client deadlines often forced a compromise: fewer participants, shorter interviews, or less probing — each of which eroded the quality Culture Foundry was known for.

No Live Completion Visibility

Tracking who had and hadn't finished an interview was a manual, spreadsheet-bound task — making it hard to spot drop-off or plan follow-ups in real time.

Quality Concerns Around AI

Would an AI interviewer really probe like a human? Culture Foundry was understandably cautious about handing fieldwork to a machine — the depth of insight was non-negotiable.

Before Yazi, the alternatives all involved trade-offs: more moderators (costly, hard to resource), shorter interview guides (less insight), or pushing deadlines (rarely an option with enterprise clients).

The Solution

Yazi introduced its AI Interviewer, designed to replicate the depth of a human interview with the speed of a digital survey. The interviewer was tuned to Culture Foundry's probing style — asking follow-ups, seeking examples, and giving participants space to answer in voice notes when text wouldn't do the emotion justice.

How each interview runs

Participants are invited via WhatsApp. They answer a 20+ question guide at their own pace, choosing between voice notes and text. The AI probes, clarifies, and keeps the conversation moving — all without a human in the loop.

STEP 1 Invite via WhatsApp STEP 2 AI Interviewer runs the guide STEP 3 Voice & text responses STEP 4 Live tracking & transcripts STEP 5 Insights to client
AI-led probing Voice note responses Text responses Auto-transcription Real-time completions tracker Custom interview guides
Purpose-built tracker: to solve Culture Foundry's pain point, Yazi built a bespoke completions table that shows, in real time, who has finished and who hasn't — turning a manual spreadsheet chore into a live view of the fieldwork floor.

The participant experience

Participants receive an invitation via WhatsApp, tap to start, and answer a long-form interview in the chat interface they already use with friends and family — replying in voice notes or text, on their own time.

Results

Depth Preserved, Delivery Accelerated

On the exemplar project, Culture Foundry completed 50 high-quality in-depth interviews in a fraction of the time their manual process would have required — saving approximately 20 hours of researcher time on a single study, while maintaining the richness of insight their clients expect. That same time saving has repeated across subsequent Culture Foundry studies run on Yazi.

What participants delivered

  • Answers in voice notes and text, captured in participants' own words
  • Enough depth to give Culture Foundry the probing, nuanced insights their reputation is built on
  • Sustained engagement — one participant noted the interviewer "seemed to know so much about me that I kept on chatting to it"

What Culture Foundry saved

  • ~20 hours of researcher and moderator time on a single study
  • Manual completion chasing — replaced by a real-time tracker Yazi built to solve that exact pain
  • Deadline pressure — tight client timelines met without shortcutting the methodology

Sample participant insights

A selection of participant responses from the exemplar study — the kind of texture and specificity Culture Foundry's methodology is designed to surface.

"I would create a warm option for cold winter days. The taste could be coffee, vanilla, caramel, or chocolate-based. When you warm it up, you get the full flavour." PARTICIPANT · CULTURE FOUNDRY STUDY
"I think more effort could be made to make them healthier. Flavours are generally okay, but we want to enjoy drinking without worrying about cancer." PARTICIPANT · CULTURE FOUNDRY STUDY
"I work out a lot and I'd like a 'natural' option packed with protein, creatine, and other supplements." PARTICIPANT · CULTURE FOUNDRY STUDY
"The interviewer seemed to know so much about me that I kept on chatting to it even though I didn't need to anymore." PARTICIPANT · ON THE AI INTERVIEWER

Inside the Yazi platform

Culture Foundry accessed every in-flight study through the Yazi dashboard — a live completions tracker, full interview transcripts, and the underlying voice and text responses, all in one place.

Completions Tracker Transcripts Table Data Media Library Live · updated just now
Completed
50
In progress
Not started
Live
Participant Progress Status
Participant 01 Full Completed
Participant 02 Full Completed
Participant 03 Full Completed
Participant 04 Part In progress
Participant 05 Part In progress
Participant 06 Not started
Interview Transcripts Completions Tracker Insight Data Executive Summary 50 Participants
Participant 01
Participant 02
Participant 03
Participant 04
Participant 05
Participant 06
Participant 07
Participant 08
Interviewer
Tell me about the moments when you reach for this kind of product — and why you choose it then?
Voice note response
[Voice-note response transcribed and stored alongside the original audio for later review.]
AI follow-up
Thanks! A quick follow-up on the moment you described — what specifically triggers it for you?
Text response
[Participant's probed answer, captured verbatim.]
Auto summary
Each transcript is paired with a short auto-summary so the research team can triage at a glance before reading in full.

Before vs. After

Manual IDI Process Yazi AI Interviewer on WhatsApp
Moderator timeOne interviewer per participantAI runs all interviews in parallel
Fieldwork durationDays to weeks of scheduling~20 hours saved per study
Response formatText-heavy, transcript after the factVoice & text, auto-transcribed
SchedulingCalendar coordination per respondentParticipants reply on their own time
Completion trackingManual spreadsheetLive real-time tracker
Depth of probingModerator-led follow-upsAI probes tuned to Culture Foundry's style

Impact

For Culture Foundry

A scalable IDI methodology that protects the quality of insight the agency is known for — fewer hours on fieldwork logistics, more hours on analysis and storytelling. A live completions view turned status chasing into a glance.

For their end clients

Faster turnaround on in-depth qualitative research, with voice-note richness intact. More participants per project without a proportional increase in cost or timeline — giving brand teams a stronger evidence base for decisions.

Initially, we were struggling to track who had completed and who hadn't from our database of participants. Yazi built a table that shows who has completed and who hasn't, allowing us to track progress in real-time — which was a game-changer for us. Yazi's AI Interviewer exceeded our expectations, delivering the depth and quality of insights we require, but in a much more efficient manner.

One participant even commented, "The interviewer seemed to know so much about me that I kept on chatting to it even though I didn't need to anymore."

Brad Shrimpton — COO, The Culture Foundry Co

Conclusion

The Culture Foundry partnership is a proof point for what AI-led qualitative research can be when it's held to the standard of a world-class moderator. By meeting participants on WhatsApp, automating the fieldwork, and giving researchers a live view of completion, Yazi turned a methodology that was difficult to scale into one that travels well across studies and clients.

For agencies whose competitive edge is the depth of their insight, the lesson is clear: AI doesn't have to mean lower quality. With the right probing and the right platform, it can mean more of it — delivered in hours, not days.

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