Scaling Consumer Interviews for Concept Testing

Parallel AI interviews on Discuss let teams reach more consumers without scheduling a human moderator for every conversation. Self-paced activities, human-led research, and professional services add ways to expand concept testing, while researchers retain responsibility for study design and interpretation.

Scaling Interviews Requires More Than Interview Slots

Interview capacity limits arise across recruitment, scheduling, moderation, and analysis, so adding interview slots alone may leave the team with the same delivery problem. A CPG concept study needs suitable consumers, questions that address the decision, and enough researcher attention to turn the responses into useful findings.

For concept and usability testing, define which part of the work needs more capacity: consumer recruitment, interviewing, or analysis. Discuss’ integrated panel partners typically make matched respondents available within hours. That timing refers to participant matching, not completion of recruitment or fieldwork.

Discuss’ participant-quality controls include phone, work-email, and government-ID verification, alongside daily fraud monitoring. These checks support research with suitable respondents as interview volume grows.

Forrester™’s report on AI-moderated interviews identifies simultaneous interviewing as a way to expand qualitative research capacity. It also emphasizes recruiting the right participants and choosing methods around the research question, rather than assuming volume resolves those decisions.

Parallel AI Interviews Expand Participation

Participation no longer depends on coordinating a researcher and participant for every interview. Discuss’ AI interviews run in parallel around the clock, and self-paced activities let participants contribute on their own schedule while researchers organize the work around the study’s objectives.

The AI Interviewer adapts its probing using each response, the study objectives, and researcher-provided context. The AI Interviewer supports photo and video stimuli alongside open-ended questions and ranking or select tasks, giving teams ways to investigate product and packaging concepts.

Discuss also supports multiple studies running in parallel across AI-led, human-led, and self-paced methods. Teams combine AI and human moderation together, reserving live conversations for questions that benefit from a researcher’s immediate judgment.

Research Services Extend Internal Team Capacity

Discuss’ professional services add delivery capacity beyond the internal research team, handling recruitment, screening, coordination, logistics, and fieldwork. Dedicated project management supports active studies, and live support agents join sessions to resolve issues, so researchers have help with the work surrounding each conversation.

Discuss’ work with Suntory shows how support brings more employees into consumer research. Suntory reports that more than 200 team members engaged in virtual in-depth interviews within a few months, either speaking with consumers or observing the conversations.

Suntory’s teams could request consumer conversations, with Discuss helping identify participants and coordinate availability. Shared recordings, summaries, and a searchable repository then made the evidence accessible beyond the people who joined each session.

That distinction matters when measuring capacity. Employee participation shows how widely an organization engages with consumers; it is a different measure from the number of completed interviews or the number of concepts evaluated.

Measure Interview Growth and Stakeholder Participation Separately

Customer scale figures show different kinds of expansion, from more frequent fieldwork to larger studies or broader employee participation. HelloFresh’s work with Discuss demonstrates changes in interview cadence and respondent numbers, while Suntory’s experience illustrates how consumer conversations reach more people across a business beyond the central research team.

Discuss’ work with HelloFresh helped move its in-home ethnography from occasional in-person ethnography to weekly AI-moderated sessions. The team reports an increase from 6 to 18 respondents per study, alongside a highlight reel that brought consumer experiences into cross-functional meetings.

Analysis needs to keep pace with collection. Discuss produces themes, quotes, and highlight reels, while quantifying product feedback helps researchers inspect patterns alongside the responses behind them. Completed interviews also feed Discuss Intelligence, where teams query accumulated research and receive quantified answers traced to the original consumer evidence.

Forrester™’s Q1 2026 experience research platform evaluation identifies Discuss’ AI support for research and analysis as a strength. Researchers still need to examine the underlying evidence before making recommendations.

Scale Consumer Research Around the Decision

Consumer research scales usefully when the team can turn additional conversations into evidence for a clear product decision. Discuss supports parallel interviews, flexible participation, research services, and connected analysis, giving CPG teams several ways to expand capacity while choosing where human attention will add the most value.

Start by identifying the constraint: interview availability, recruitment and coordination, analysis workload, or stakeholder access to findings. Then select the combination that addresses it, measure the relevant change, and keep recommendations tied to what consumers actually said or showed; request a Discuss demo to explore how that approach could support the next concept study and the research program that follows it.