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Research & Recruitment Operations

Minimum Viable Product

Minimum Viable Product

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Definition:

A minimum viable product, commonly called an MVP, is a development strategy in which a team releases the simplest functional version of a product that allows them to validate a key hypothesis with actual users. The concept, central to lean product development and agile methodology, prioritises speed to learning over completeness of feature sets. In a research context, MVP thinking applies directly to concept testing and early-stage consumer validation: teams need to understand whether a product idea resonates, solves a real problem, and warrants further investment before committing to a full build. Qualitative research is particularly well suited to MVP validation because it surfaces not just whether users respond positively, but why, and what would need to change.

How Conveo Does It

Conveo supports minimum viable product validation through AI-moderated video interviews that teams can configure and launch in under 30 minutes, with findings available in days rather than weeks. Real participants, not synthetic respondents or AI avatars, respond to concept stimuli and probing questions that adapt based on what they actually say. At enterprise scale, teams can run hundreds of conversations simultaneously across multiple markets, giving product and insights teams the consumer signal they need while the MVP decision is still open.

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Related terms.

AI-Moderated Research

Moderated Testing

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Multichannel Research

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Brand Concept & Messaging

Brand Tracking

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Frequently asked questions.

A minimum viable product is the most basic version of a product that can be released to test a core assumption with real users. It contains only the features necessary to generate meaningful feedback, allowing teams to learn quickly and decide whether to invest further, pivot the concept, or abandon it before significant development costs are incurred.
Research teams are often brought in too late, after a product has been built rather than before. Minimum viable product testing gives insights functions a clear mandate to generate consumer input at the point when it can still shape direction. Understanding why users respond positively or negatively to an MVP, not just whether they do, is what separates useful research from a post-launch retrospective that changes nothing.
A prototype is typically a non-functional or partially functional representation of a product, built to test design, flow, or usability. A minimum viable product is functional and often released to real users, with the intent of generating behavioural and attitudinal data under realistic conditions. Prototypes tend to be internal tools for iteration; MVPs are external-facing and designed to produce evidence that informs a go or no-go decision.
AI-moderated research has made it practical to test a minimum viable product concept with hundreds of participants in the time it previously took to schedule a handful of depth interviews. Adaptive probing means the conversation follows what participants actually say, surfacing the nuance that structured surveys miss. Teams get thematic synthesis as sessions close, so findings are available while the product decision is still live rather than arriving after the roadmap has already been set.
Enterprise teams typically use minimum viable product research to pressure-test a concept before committing to a full development sprint. In practice, this means exposing participants to a concept description, early prototype, or stimulus material and probing on perceived value, unmet needs, and barriers to adoption. The findings feed directly into product prioritisation, helping teams decide which features to build first and which assumptions need to be revisited before launch.

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