CLEA \ Consumer-Level Elicitation Architecture

Depth of listening, agility of deployment

CLEA is h2\'s augmented conversational qualitative device. It transforms an interview guide into a conversation led by an assistant calibrated to the study\'s intent, capable of probing, adapting, and listening without haste. This interview depth deploys multilingually, at the scale of several hundred respondents, at a pace aligned with decision calendars. Three principles structure the device: a calibrated conversation, material restructured for analysis, and a maintained anchoring in the consumer\'s actual voice — Consumer in the Loop.

At the heart of CLEA, an assistant calibrated to the study\'s intent engages each participant in a natural exchange. The conversation is multimodal (text, voice, image, video) and integrates fine-grained probes, conditional pathways, and continuous adaptation to material brought by the respondent. The material collected is a narrative built within the interaction, anchored in the participant\'s own logics and not in the researcher\'s grid.

Benefit: qualitative depth of listening, conducted at the scale of several hundred respondents, multilingually, at a pace that makes the consumer\'s voice available when the decision is made.

At the close of fieldwork, conversational material is automatically indexed and enriched. Each verbatim is placed back into the study\'s logic, cross-referenced with respondent attributes and aggregated along the relevant analytical axes. h2\'s analysts thus work on material already structured, on which they concentrate their interpretive reading.

Benefit: the depth of the interview and the structure of the questionnaire within a single device, with a qualitative/quantitative boundary that fades.

CLEA rests on a founding principle: CITL — Consumer in the Loop. The consumer\'s actual voice, in its singularity and unpredictability, is maintained at the heart of the analytical device, against the temptation to substitute synthetic respondents on exploratory subjects.

CLEA pipelines are ready to integrate synthetic respondents when the use case justifies it: stable questions, well-documented populations, quantitative extension of an existing qualitative field. They have no vocation to substitute for actual listening when it comes to instructing open questions or exploring poorly known populations.