What AI Interviews Reveal About Consumer Product Use

AI interviews can reveal how consumers describe product experiences, what they show about their surroundings and which details need further explanation. Discuss combines adaptive questions with video, audio and transcripts, giving CPG teams evidence to investigate routines and points of difficulty while keeping reported experiences distinct from observed behavior.

Everyday Context Gives Product Feedback Meaning

Context helps researchers understand the circumstances around a consumer’s answer, rather than treating that answer as a complete explanation of product use. A participant’s surroundings, description of a routine and account of a specific experience can make an otherwise broad reaction more useful for a CPG team.

In concept and usability testing, liking an idea and finding a product easy to use answer different questions. Someone may respond positively to a package’s appearance but describe difficulty handling it; researchers need evidence about the specific difficulty before drawing a usability conclusion.

Discuss supports live or AI-led mobile sessions in homes and stores, as well as diaries and longitudinal activities. Those methods create opportunities to investigate physical-product use in context, including how impressions develop beyond one conversation.

HelloFresh Brings Weekly AI Research Into Consumers’ Homes

HelloFresh used Discuss for AI-moderated ethnography, giving consumers the flexibility to participate on their own schedule and show their surroundings from their own point of view. Participants could pause a conversation and return to it in their kitchens, giving the insights team consumer-recorded footage alongside explanations of everyday experiences.

The program moved from occasional in-person ethnography to weekly AI-moderated research. HelloFresh reported an increase from 6 to 18 respondents per study and from 3 to 10 countries/languages, expanding the frequency and reach of the team’s consumer conversations.

HelloFresh’s insights team also reported that participants seemed comfortable sharing their lives without a human interviewer present. Jo Lindenberg, Director of Global Consumer Insights, described a reduced sense of needing to present oneself favorably; that is the team’s experience of its program, not proof that every AI interview produces more accurate answers.

The team turned the weekly sessions into a 20-minute highlight reel for cross-functional meetings. That gave stakeholders consumer voices and footage to discuss together, making the research tangible beyond a written summary.

Video Captures Product Use; Follow-Ups Explore Difficulties

Video and follow-up questions contribute different evidence: recordings show what participants choose to capture, while questions explore how they explain the experience. Discuss’ AI Interviewer probes based on each response, study objectives and researcher-provided context, allowing the conversation to investigate details behind an initial reaction rather than stop at it.

In a mobile interview, a consumer can turn the camera toward a product while describing a difficulty using it. Follow-up questions explore which step caused trouble and what happened next, helping researchers distinguish a minor inconvenience from a problem that prevented use.

The recording still needs interpretation. Something outside the camera’s view has not been observed, and a participant’s explanation of an earlier event is a reported experience even when it is captured on video.

Forrester™’s Q1 2026 experience research platform evaluation identifies Discuss’ live-interview capabilities and AI support across the research process as strengths. Those capabilities give teams both AI-led conversations and human-led options for investigating product experiences further.

Distinguishing Consumer Accounts From Observed Behavior

Candor can make a conversation richer without establishing that every answer is accurate or representative. Researchers should inspect the responses and recordings, distinguish observation from interpretation, and consider whether the participants and setting fit the product question before treating an interview finding as a basis for action.

Forrester™’s report on AI-moderated interviews describes potential benefits for participant comfort while also identifying limitations, including missed emotional nuance and fatigue in longer conversations. Its guidance is to choose methods deliberately and retain human-led research where greater depth is needed.

HelloFresh makes that choice within its own program. The team retains human moderation for work including some concept testing and shop-alongs, even as AI supports weekly in-home ethnography; its approach shows why the research question should determine the method.

Patterns across interviews can guide further investigation. When quantifying product feedback, keep counts tied to the study evidence rather than presenting them as proof of how the entire market behaves.

Connect Product Experiences With Consumer Explanations

Product context makes AI interviews valuable when it helps researchers understand a specific experience more clearly. Discuss brings consumer explanations, recordings and adaptive follow-up questions together, while its human-led methods give teams another way to investigate uncertainty before deciding what a finding means for a product.

The HelloFresh example shows how that evidence can become a regular part of consumer understanding. Shared clips also give stakeholders concrete experiences to discuss across functions. For the next product question, identify what consumers need to explain, what the team needs to observe and where follow-up would help; request a Discuss demo to explore how contextual interviews can support that work without treating every response as a complete answer.