Intelligent Agents

Intelligent Agents transform survey data and research results into an interactive conversation, helping stakeholders move from questions to decision-ready evidence in seconds instead of days.

Get More from Every Study You've Fielded.

Research does not end when the final report is delivered. New questions emerge, stakeholders need answers quickly, and teams often spend valuable time hunting through reports, requesting new cuts, or waiting for additional analysis.

Intelligent Agents bridge the gap between insight generation and decision-making. Powered by modular AI agents and grounded in respondent-level data, they understand plain-language questions, run statistical analyses, generate visualizations, and surface the strategic implications.

Instead of static deliverables, teams gain a dynamic interface where they can explore findings, validate assumptions, and uncover new opportunities whenever questions arise.

Answer Unanticipated Questions

Stakeholders ask in plain language and get answers a dashboard was never built to hold. There's no table request or manual cut needed. Follow-ups are handled quickly and consistently, so research is easy to reach whenever a decision has to be made.

Follow the Thread

Every answer can be probed further with new cuts, filters, and comparisons, without restating the context. Teams can explore a few key questions within a subgroup to see whether there's a story worth a deeper dive before investing more time.

Get the So-What, Not Just the Numbers

Tables, charts, and significance tests come with written interpretation. Teams can also get a quick read on open-end themes and supporting verbatims. Outputs can be copied, downloaded, or carried straight into a deck or a stakeholder conversation.

How Teams Use Intelligent Agents

The study is finished and the report is delivered, but stakeholder questions keep coming. Answering them usually means searching through reports, requesting new data cuts, and waiting for analysis.

Intelligent Agents let teams ask plain-language questions of study data and get computed tables, charts, significance testing, and a written interpretation they can act on. It’s insight at the speed decision makers need it

What Are You Missing After the Report Is Delivered?

Questions Don't Stop at the Report

The study is complete and the report is delivered, but stakeholder questions keep coming. Static deliverables only answer what was asked at the start, not the new questions that come up as decisions take shape.

Answers Buried in Tables

Finding a single data point means a slow search through the report and tables. Stakeholders who don’t know how the study is structured struggle to find the right chart, cut, or comparison when they need it.

Every Follow-Up Becomes a Request

Each new question means requesting new data cuts and waiting for analysis. Getting answers is slow, manual, and hard to scale, and decisions wait while the analysis is done.

Dashboards Only Answer Planned Questions

Dashboards and other structured tools only answer the questions they were built for. When stakeholders ask something unexpected or want to dig further, those tools can’t answer it.

Download our latest AI+HI™ Guide: Leading Through the AI Revolution in Market Research

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Our team is here to help you better understand your audience, competitors, and industry trends.

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