9series helps market research firms move faster by building platforms that improve speed, data quality, and respondent experience. From survey and panel systems to CX and insights SaaS tools, we turn research technology into a competitive advantage.
From one-time concept tests to continuous global tracking programs, the platform type shapes the architecture. Here's where we have deep experience.
End-to-end systems for survey authoring, respondent panel management, sample and quota logic, and fielding at scale, architected for the branching and skip patterns real studies require.
Always-on feedback capture across touchpoints, structured to turn open-ended customer input into a continuous signal rather than a one-time snapshot.
NPS, CSAT, and CES tracking systems built to connect experience scores back to the operational data that explains them.
Video-based and behavioral data capture for shopper research, in-store testing, and path-to-purchase analysis, built for CPG and retail research teams.
Platforms for usability testing, concept testing, and in-product feedback that give product teams direct access to user reactions.
Tracking systems built to monitor brand health, share of voice, and competitive positioning over time, with reporting designed for repeat, longitudinal use.
Research technology has its own vocabulary and its own failure points. Here's how we build for it.
Full-stack build of survey authoring tools, panel management, sample and quota controls, and fielding workflows, architected to handle the branching logic and skip patterns that real studies require.
Deep integration experience means custom capability that extends what you have, not a parallel stack that creates new complexity.
As an official Qualtrics partner, we build integrations that extend Qualtrics' enterprise-grade measurement and analytics capabilities into custom respondent experiences, proprietary segmentation logic, and workflows that off-the-shelf configuration cannot reach on its own.
Human Listening is an AI platform that captures unstructured, conversational respondent input and turns it into structured qualitative insight. We integrate Human Listening alongside Qualtrics, most notably in our Intuify engagement, to combine structured survey data with open-ended conversational input in a single analytics environment, so researchers get the richness of qualitative data without losing the comparability of quantitative measurement.
Structured survey data and behavioral video data. Together, they show the range of research technology we build.
Intuify set out to solve a problem every research team recognizes: traditional surveys fatigue respondents and flatten the nuance out of their answers. We built a survey and panel platform combining Qualtrics and Human Listening into one respondent experience, using dynamic question rendering, mobile-first interfaces, and multimedia stimulus (video, audio, and subtitles for accessibility) to keep respondents engaged through longer, richer studies.
On the analytics side, we implemented AI models that read sentiment and emotion from open-ended responses, automate audience segmentation from response patterns, and apply those segments to live dashboards in real time, so researchers can slice results by behavioral cohort without waiting on a data team to rebuild the crosstab.
Nailbiter approaches research from a different angle: instead of asking shoppers what they did, its video-metric technology observes what they actually do. We built the platform behind that observation, capturing real-time shopper behavior in-store, mapping path-to-purchase journeys, and supporting AR-based testing that lets brands trial planogram and packaging changes virtually before committing budget to a physical reset. The platform supports CPG and retail research programs for brands including Coca-Cola and Nestlé.
Research teams spend too much time processing data and not enough time acting on it. These agents plug directly into research workflows to close that gap.
Aggregates and analyzes multi-source survey and behavioral data, then generates structured insights, visualizations, and strategic recommendations automatically.
Read moreConnects to Notion, Office, Drive, and more to turn research transcripts, verbatims, and study documents into summaries, themes, and visual charts automatically.
Read moreExplores enterprise datasets to surface trends, anomalies, and behavioral correlations, driving data-backed decisions across tracking studies and longitudinal programs.
Read moreAnswers researcher and stakeholder questions quickly and accurately across 50+ languages, grounded in your internal knowledge base, past studies, and methodology documentation.
Read moreWhether you need a defined project delivered, an embedded team on your roadmap, or a partner to keep your platform running after launch, we have a model for it.
A defined scope, timeline, and budget for well-specified builds. Ideal for new platform launches, integrations, or feature sets with clear requirements and deliverables.
A full pod of engineers embedded in your research technology roadmap, built around your stack and your velocity. Best for ongoing platform development and continuous iteration.
Ongoing platform reliability, performance monitoring, and enhancement support post-launch, so your research infrastructure stays stable as methodology and scale evolve.
Full-stack survey authoring, panel management, and fielding systems architected for real quota logic and scale.
Sentiment analysis, automated segmentation, and predictive modeling that turn raw responses into decision-ready insight.
Video and behavioral data pipelines for shopper research, in-store testing, and path-to-purchase analysis.
Deep integration work across Qualtrics and Human Listening, extending your existing research stack rather than replacing it.
Thanks to the efforts of the 9series team, the company was able to conduct a soft launch of the app within eight weeks of the initial briefing. Though the time difference can be a challenge at times, the team was always responsive to the company's needs.
Internal stakeholders are impressed with the current version of the app, which has about 100 merchants and sees around 500 deliveries per day. They're looking forward to continuing the partnership with 9series, a talented, effective team, on developing new and improved versions.
9series has, so far, been attentive and understanding of the client's goals for the project. The team has improved the overall workflow and continues to deliver successfully.
Research technology has its own failure points: respondent fatigue, quota logic, and translating open-ended input into something quantifiable. We've already solved for them.
A team that has already solved respondent fatigue, quota logic, and qualitative-to-quantitative translation, not a generic dev team learning the vocabulary mid-build.
Architected to run from a single-market pilot to a continuous global panel without a platform rebuild at each growth stage.
PM, QA, and product design included in the engagement, so your researchers are not project-managing engineers.
Research methodology changes study to study. We stay engaged past launch so your platform keeps up.


Whether you are building a survey and panel platform, a VOC tool, or a behavioral analytics system, we help research technology teams engineer platforms that hold up under real fielding conditions and real respondent volume.
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