How a Compeers project
actually runs
A defined sequence of five stages, with a researcher leading every decision and AI handling the operational work in between. Your team can run the project on the platform, or our researchers can run it for you.
A researcher leads.
AI executes.
Every Compeers project has a researcher running it from kickoff through delivery. That researcher is on your team when you use the platform directly, and on ours when you ask us to run the study. In both cases they approve the methodology, review every output, and own the final deliverable.
AI handles the parts that benefit from speed, like survey programming, data cleaning, crosstabulation, charting, report prep and so on. AI does not move to the next step until the researcher approves the current one.

The five stages of a project
STAGE 01
Kickoff
The business question, prior research, and the decision the study needs to inform go into Compeers. The platform proposes methodology, sample, and timing, and the lead researcher confirms them before any data is collected.
STAGE 02
Design
Compeers drafts the discussion guide or questionnaire and lays out the logic. The researcher reviews and approves the instrument before fielding starts.
STAGE 03
Fieldwork
Programming, sample sourcing, fielding, and quality checks run on the platform. Progress is visible as data comes in, not just at the end.
STAGE 04
Analysis
AI prepares the data, codes the open ends, and surfaces the patterns. The researcher interprets, validates, and writes the findings.
STAGE 05
Delivery
The final report, supporting tables, and a record of the work are ready to present. If our team ran the study, we present to your stakeholders if you want us in the room.
Where researchers decide and where AI executes
What the researcher does
Methodology design, sample plan, instrument review and approval, interpretation of findings, preliminary conclusions and recommendation calls, and any judgment that affects how a finding gets framed. This is the same whether the researcher is yours or ours.
What AI handles
Routine research work that benefits from speed and scale.
Quantitative: Desk research, first draft questionnaire, survey programming, data cleaning, crosstabulation and analysis, verbatim coding, charting, advanced analytics modeling and first-draft Stories and reporting.
Qualitative: Desk research, first draft discussion guide, multilingual transcription, notes grid prep, first-draft Stories showreel creation and reporting.

What you bring versus what Compeers handles
What you bring
The business question, the context your stakeholders care about, and any prior research that should inform the work. Your decisions stay yours.
What Compeers handles
Methodology drafts, instrument design and survey programming, fielding, data processing, modeling, and first-draft reports. A researcher reviews every step before the process moves forward.
Two ways to work with Compeers
Full-service
Our researchers run the entire project on the same platform. You review at key checkpoints and approve the final deliverable. Best for teams that need capacity, or that have a study they simply want done. Teams can also keep specific stages in-house and leave the rest to us, decided project by project.
Use the platform
Your team runs the project on Compeers. Your researchers lead each stage, approve each output, and keep full control of methodology and interpretation while the platform does the operational work. Best for teams with researchers in place who want speed without giving up control.
Questions teams ask before signing on
A researcher runs every project from kickoff through delivery.
When your team uses the platform, that is your researcher. When Compeers runs the study in a full-service engagement, it is one of ours. Either way, the researcher reviews and approves the methodology and the AI's output at every step, and every output stays tied to the business question the study was set up to answer.
AI handles the stages that traditionally stretch a project by days or weeks: desk research, first-draft questionnaires, survey programming, data cleaning, crosstabulation, verbatim coding, charting, and first-draft reporting. The researcher makes the final call on every step and every output.
We can work with your preferred survey platform panel provider and manage the end-to-end data collection process, including sample acquisition. If you don't have a preferred vendor, we tap our network of trusted partners and still manage the process end to end.
Compeers AI supports a broad range of quantitative and qualitative market research, from standard surveys and interviews to advanced analytics projects. Teams can use Compeers for concept and product testing, brand and customer research, segmentation, pricing research, key-driver analysis, MaxDiff, conjoint analysis, TURF, in-depth interviews and focus groups and soon qual-at-scale projects.
Because the platform supports the workflow from research design and data collection through analysis, visualization, and reporting, it can be used for both straightforward research questions and more complex strategic studies.
Using a single, unified research platform helps lean insights teams reduce tool fragmentation, manual coordination, and duplicated work across the research process. It allows a small team to manage more projects efficiently while maintaining consistency from research design through analysis and reporting.
Yes. Compeers AI can analyze multiple related research projects together, including qualitative and quantitative studies, to identify patterns and generate insights across a broader body of research. Teams can also combine research data with other relevant business data, such as sales, category, customer, or operational data, enabling a more complete analysis of the business question rather than viewing each research project in isolation.
This helps teams extract more value from research they have already conducted and connect what consumers say with what is actually happening in the business. It can also reveal relationships and insights that may not be visible when individual studies or data sources are analyzed separately.
Compeers AI can turn research data into insights, visualizations, and first-draft reports within minutes to about an hour after data collection ends, depending on the project and analysis required. Because data processing, analysis, visualization, and reporting happen within the same platform, teams can move from completed fieldwork to decision-ready output far faster than with a traditional research workflow.
Once the data collection ends, Compeers executes the following tasks:
- Data cleaning, including straightliners, speeders, duplicate IP addresses, bot-generated responses, inconsistent responses, etc.
- Initial visualization for data exploration
- Full cross-tabulation and analysis, including significance testing
- Open-ended coding
- Any modeling for advanced analytics, as needed
- Simulator and solver for conjoint and max-diff projects
- Typing tool for segmentation projects
- First-draft executive summary
- Stories (an industry-first storytelling capability)
- First-draft report generation
The above process may take minutes to up to an hour depending on project complexity and sample size. The key point is that at every step, users can stop the model, modify the instructions sent to it, and edit any model-generated response. This ensures that the user, not the model, remains in control throughout the research process. The purpose of Compeers AI is to let researchers use their domain expertise and knowledge of the business and its stakeholders where they add the most value. By reducing the time spent on the mechanics of research, Compeers enables them to spend more time on interpretation, strategic thinking, and advising stakeholders.
See it on your own data first
Once the MNDA is in place, share data from a past study. You will have the Compeers outputs within the hour to assess against your existing deliverables, whether your team runs the comparison on the platform or we run it for you.
Enterprise-grade security

