Insights’ teams at Consumer packaged goods (CPG) enterprises often use research to assess concepts, packaging, retail experiences, claims and consumer needs. Tools and services available for this purpose now include online qualitative research, surveys, in-context research, recruitment services and AI-assisted analysis.
This guide outlines common categories of FMCG research tools, what they can be used for, and how to choose a practical research stack in 2026.
TL;DR
- FMCG research teams have a choice of five tool categories: a qual platform (some including AI-assisted analysis), a survey tool, a shopper research tool, a panel provider and a reporting tool
- AI-assisted analysis can help researchers compare transcripts and surface themes across multiple markets/ studies. Speed and quality of outputs depend on where human review steps into the research workflow
- Teams may in-house some research studies using tools for recruitment, running sessions, getting transcription and analysis done; while continuing to use agencies where specialist support is needed
- flowres.io offers features valuable to conducting FMCG qualitative research, including moderated concept and pack discussions, multilingual transcription, a client backroom and the SlideBuilder PowerPoint add-in
What FMCG research typically entails
FMCG/ CPG research is characterized by certain features eg:
Stimuli are often central to CPG studies.
Researchers may seek consumer feedback on packaging concepts, advertising rough cuts, new product formats or shelf layouts.
Check whether a platform can present on camera materials in a variety of formats - video, image, concept board, physical mockup.
Turnaround can be time-sensitive, in CPG work.
Project timelines typically include time taken for recruitment, conducting fieldwork/ data collection, transcription, analysis and deck-making.
Automated transcription, AI-assisted analysis and collaboration tools can shorten parts of the typical workflow.
Some CPG studies could involve multiple observers eg. brand managers, innovation leads, marketing heads, retail/ wholesale partners, creative agencies.
If such observation is required, tools must offer access control, private observer communication and a smooth participant experience.
Certain CPG studies have a wide ambit in terms of geography eg. multiple cities within a country or multi-country coverage.
For instance, large CPG brands often test the same concept across five or six markets, to understand how similarly/ differently they respond to the same stimuli.
In such situations, it is important to look for tools/ services that offer multi-language transcription and regional panel access.
What CPG teams are doing differently in 2026
Research conducted recently on AI adoption suggests that it is indeed accelerating. Yet, enterprise-wide implementation is uneven. For instance - 75% of CPG companies remain in AI pilots or exploration. This signals certain shifts in conducting FMCG research:
Reduced timelines on conducting multi-market studies
Previously, a multi-market concept test would mean waiting for transcripts from each country, translating them, and then manually synthesising across markets. AI analysis tools can now run across all sessions in a study (regardless of language) and surface cross-market themes with source citations. This has changed how quickly global FMCG brands can arrive at research outputs that help make concept-related decisions.
Replacing agency-managed research with in-house platforms’ usage
Mid-sized CPG brands that used to outsource all research work to agencies are beginning to run their own research, using platforms that handle the operational side. Research design and interpretation stays with the brand team or a specialist agency; while logistics move in-house. This can be faster and more cost-effective, for certain kinds of studies.
Moving from periodic research to continuous consumer listening
Rather than relying solely on quarterly studies and post-launch evaluations, even mid-sized CPG teams are turning to digital communities, online diaries and ongoing consumer conversations to detect changing preferences, emerging needs and early signs of brand fatigue.
Shortening the pack testing cycle
Traditional pack testing required printed prototypes, in-person groups, and a two-week turnaround. Online pack testing with digital stimuli runs in days. The trade-off is that physical pack feel is lost, which still matters for some categories. Most FMCG teams now run a digital qual screen first, then take only two or three concepts to an in-person or in-store phase.
The five categories of FMCG research tools
Depending on research objectives set for a particular study, FMCG research teams can choose tools/ services from five distinct categories:
| Tool category | What it does | Primary stakeholder |
|---|---|---|
| Qualitative research platform | IDIs, focus groups involving concept and pack test studies AI analysis |
Marketing/ Brand/ Innovation teams |
| Quantitative survey tool | Brand tracking, Usage and attitude studies | Marketing/ Brand teams |
| Shopper and in-context research | In-home or in-store recordings, Diary studies | Category teams/ Retail/ Wholesale partners |
| Panel and recruitment | Finding and screening participants | Insights teams |
| Reporting and repository | Storing findings, curating PowerPoint outputs to disseminate findings within the client organization | Insights teams |
1. Qualitative research platforms
Qualitative research platforms can support moderated sessions, transcripts, analysis and creation of research outputs. Recruitment and video hosting may be provided through integrations or in-built functionality.
For IDIs/ focus groups/ triads involving concept and pack testing, check:
- Stimulus handling
- Participant observation
- In-session support
- Transcription coverage
- Observer access controls
- AI-assisted analysis
- Export options i.e. which formats can you export analysis in
- Analysis to deck-making workflow
flowres.io supports moderated IDIs and group research through Zoom, Microsoft Teams and Google Meet integrations. It provides multilingual transcription, addition of custom vocabulary (to avoid mis-transcription), and AI-assisted analysis with links to source evidence across transcripts. Further, users can curate insights by accessing their analysis directly in PowerPoint, using the SlideBuilder add-in. SlideBuilder enables users to insert selected, bookmarked themes, quotes and other findings into editable PowerPoint slides, using an existing template. It is a researcher-guided add-in, not an automatic one-click debrief generator.
2. Quantitative survey tools
Quantitative tools answer "how many" and "how often." They cannot tell you why a concept fails or what the packaging is communicating. That is the qualitative layer's job. Which is why, many FMCG research studies use both.
Survey tools can support usage-and-attitude studies, brand tracking and at-scale concept tests. Examples include Qualtrics, SurveyMonkey and Kantar Marketplace. Their products and pricing differ, so it is ideal to compare them basis specific methodology and sample-size requirements.
3. Shopper and in-context research tools
Tools like dscout and Voxpopme let researchers capture participant responses in their natural settings: at home, in-store, or in-the-moment product usage. Participants record themselves on their phones, completing tasks or reacting to a new product.
This helps researchers observe how packaging is encountered and understood, in-context. Some in-context research vendors also offer moderated methods, for follow-up probing.
4. Panel and recruitment platforms
FMCG research necessitates covering participants with particular category usage, shopping habits and locations. Recruitment tool options include Respondent.io, User Interviews and regional consumer panels.
flowres.io offers access to Respondent.io recruitment within its workflow. It also connects to scheduling tools such as Calendly and Microsoft Bookings. Moderated sessions are run on Zoom, Teams or Meet.
5. Reporting and repository tools
Once data has been collected, researchers are tasked with collating, curating and disseminating findings.
For teams that need to move rapidly and confidently from analysis to findings, flowres.io's SlideBuilder connects analysis directly to PowerPoint. In this way, findings move from the platform into the brand team's existing template; without researchers having to rebuild anything manually. Tools like Dovetail, EnjoyHQ and Notion-based setups serve slightly different needs viz. repository and knowledge management.
How to choose FMCG consumer research tools
Addressing this check-list helps narrow down on which platforms to evaluate:
What session types do you run most?If IDIs/ groups dominate, a platform optimised for observation/ community sessions is not the right fit. Similarly, if you run IDIs/ focus groups across multiple countries, multi-language transcription is non-negotiable.
Who observes your sessions?If clients or senior stakeholders join live, 3 experiences must be managed well - the backroom experience of clients, the moderator experience during a session, the participant experience before, during and after a session.
How many markets do you work across?If the answer is more than two or three, check the platform’s language coverage and regional panel access before committing.
How fast do you need findings?If the expectation is to run detailed debriefs within 1-2 days of conducting the sessions, automated transcription and AI analysis become non-negotiable.
How are findings shared?If findings are curated and shared in PowerPoint, check whether the platform connects to your existing template or forces you to rebuild slides manually.
Key takeaways
| What to prioritise when evaluating tools | Why it matters for FMCG |
|---|---|
| Integration with panel | Category-specific, verified consumer recruitment without a separate tool |
| Availability of client backroom | Brand, category, and agency teams all need live observer access |
| Availability of multi-language transcription | Concept and pack tests run across multiple markets simultaneously |
| Availability of AI analysis across sessions | FMCG innovation cycles are fast - manual synthesis is too slow |
| Integration with PowerPoint | Brand teams do not want to rebuild decks from scratch |
See how flowres.io supports FMCG qualitative research, from recruitment to a finished PowerPoint debrief.
FAQs
What is concept testing in FMCG research?
Concept testing is one of the most common uses of qualitative research in CPG brand development. It means showing a described or visualised product, pack, or campaign concept to consumers before it is produced. Objective is to understand whether the idea connects to a real need and resonates with consumers.
What is pack testing in consumer research?
Pack testing evaluates whether product packaging communicates the right message, stands out on shelf, and prompts the intended consumer behaviour. It usually combines visual evaluation with Qualitative probing in IDIs or focus groups. Depending on the stage of pack development, Insights teams might decide to add on a larger sample-sized Quantitative research component.
How is AI changing FMCG consumer research?
Certain AI use-cases are more prominent, many are yet to reach full-scale adoption. AI analysis tools now run across entire research studies - multiple sessions, multiple markets, multiple languages - and produce themed findings with citations back to source quotes. This has significantly reduced the time from fieldwork to debrief, which matters in CPG; where brand and retail cycles are fast.
What tools do FMCG brands use for consumer research?
CPG brand teams combine a qualitative research platform for IDIs and focus groups, a survey tool for quantitative work, a panel provider for recruitment, and a reporting tool for synthesis. The trend in 2026 is consolidating the qualitative layers - recruitment, session, transcript, analysis and slides - into one platform.
What is the best FMCG consumer research platform in 2026?
The best platform depends on your specific workflow. FMCG teams consistently prioritise multi-language transcription, client backroom access, AI analysis across sessions, and a connection to PowerPoint for reporting. flowres.io is built around these requirements.
Enjoy reading flowres.io?
Ayushi Jain
(Content Writer)
She is a content writer specializing in the intersection of human inquiry and modern efficiency. Through her work at flowres.io, she explores how qualitative research is evolving and highlights the tools that help researchers maintain their creative flow.
Posted on: Nov 06, 2026
