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How it Works
See how Agatha turns survey data into decision-ready insights in minutes.
Features
Agatha AI
Coming soon · Your autonomous research analyst.
LiveSlides™
Live presentations that update as data comes in.
Solver Interface
The AI-powered respondent experience.
Libraries
Reusable question templates for faster study design.
QuantQual
Quant scale and qual depth — in one study.
MCP Server
Coming soon · Your studies, native in every AI tool.
AI Open-End™
Open-ended responses, quantified at scale.
Segments
Reusable audiences across the whole study.
Respondent Manager
Data-quality control for every study.
IdeaCloud™
Open-end verbatims, visualised by support strength.
HaloGraph™
Drill from themes to verbatims in one sunburst chart.
AugmentIQ™
Coming soon · Test your survey on AI respondents before launch.
Focus Groups
Live discussions and async bulletin boards.
Multilanguage
23 languages. One study. One dashboard.
Learn
Case Studies Real research, real results Blog Insights on market research FAQ Common questions answeredData Quality
Data Quality Reports Monthly evidence of research integrity Data Quality Our commitment to research integrityCustomer feedback allowed a snack food manufacturer to prepare for a new product launch and optimize its marketing mix — with confidence built on real consumer data.

3,000+
Consumers surveyed
2
Research phases
A major multinational snack food company was considering introducing a new flavor variant to its product lineup. Before committing to the launch, they needed to answer several critical questions:
GroupSolver employed a two-phase research methodology with more than 3,000 consumers across key purchase channels.
Phase 1 — Exploration: The team explored a range of product attributes — flavors, preparation process, sizes — to identify which combinations had the highest potential with target consumers.
Phase 2 — Market modeling: GroupSolver modeled market effects including discounts, promotions, and competitive scenarios. Researchers used “what if” scenario exploration tools to simulate how the new flavor would perform against private label and competitive brands at different price points.
The research delivered a clear picture of market opportunity:
The client used these insights to make an informed, confident product development decision — with a launch strategy tailored to the channel dynamics the research uncovered.
The client's brand frequently generated a meaningful higher probability of purchase in comparison to private label and competitive brands.
GroupSolver Research Findings
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