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4 minute read
Agentic market research is a form of market research automation where AI agents handle survey and interview design, fielding, analysis, and reporting end to end, cutting a typical multi-week study down to days. Inside Sagan Agents, this happens through the Agentic Market Research module, which takes a business question through four stages, identify, draft, field, and enrich, using ZoomRx's proprietary HCP and patient panels or synthetic audiences, depending on what the moment calls for.
What Market Research Automation Looks Like When It's Done Right
Market research automation isn't just a faster online survey tool. Done well, it should handle the full arc of a study: figuring out what's actually unknown (not just what someone assumes is unknown), turning that question into a properly designed instrument, fielding it to real or synthetic respondents using AI-moderated interviews or conversational surveys, and turning the results into an analyzed, deliverable-ready output, all without a person manually managing each handoff between steps.
The Four Stages of Agentic Market Research
Identify: finding the real gap, in seconds
Before fielding anything, the system checks what your organization already knows. Because Agentic Market Research is connected to Data Archive Intelligence, it can identify a true data gap, one that doesn't already have an answer sitting in a past study, rather than a perceived gap based on one team's limited view of the archive.
Draft: business question to field-ready instrument, in minutes
Once a genuine gap is confirmed, the business question gets turned into a ready-to-field research instrument, a survey, a discussion guide, or a hybrid of both, depending on what the question needs.
Field: real respondents or synthetic audiences, in a weekend
This is where AI-moderated interviews and survey-as-conversation formats run, either against ZoomRx's proprietary HCP and patient panels for real-respondent depth, or against synthetic audiences when speed or budget matters more. Full conversational studies, blending qualitative depth with quantitative scale, can complete in a weekend rather than the many weeks a traditional qual or quant study takes on its own.
Enrich: automatic analysis and delivery
Once fielding wraps, analysis and deliverable creation happen automatically. Results are turned into a finished output and flow back into the Data Archive, so the next question asked has a richer foundation to draw on than the one before it.
AI-Moderated Interviews and Conversational Surveys: Real Respondents or Synthetic Audiences
A common misconception about market research automation is that "automated" means synthetic-only. Inside Sagan Agents, Agentic Market Research supports both: real HCPs and patients through ZoomRx's proprietary panels when depth and authenticity matter most, and synthetic audiences when a team needs a fast directional read or wants to pressure-test a question before committing to a fielded study with real respondents. AI-moderated interviews and conversational surveys work the same way in either case, following up on an answer the way a human moderator would rather than presenting a static, fixed-response form.
How Fast Is Fast?
A traditional study, commissioning a competitive audit, a pulse survey, and a claims analysis separately, then assembling everything into one deck, can easily run 8 or more weeks and cost $500,000 or more once multiple vendors are involved. We break down that full example in What Is Sagan Agents? Agentic Market Research is built to close that gap directly: full studies designed, fielded, and analyzed in days, with some qualitative studies completing in a weekend, instead of the 6-8 weeks a traditional standalone study takes.
How This Closes the Loop With Your Data Archive
Agentic Market Research doesn't operate in isolation. Every study it fields feeds results back into Data Archive Intelligence automatically, which means the next question anyone in the organization asks, whether it's fielded as new research or answered instantly from the archive, starts from a stronger foundation. Gaps get identified, research fills them, and the archive gets enriched, on a repeating cycle rather than a one-off project. (For more on how the archive itself works, see Data Archive Intelligence explained, and for the orchestration mechanics that coordinate all of this, see AI agent orchestration and how Sagan Agents turns reusable skills into workflows.)
Traditional Fielding vs Agentic Market Research
| Key Considerations
|
Traditional Market Research |
Agentic Market Research |
|
Design to field |
Days to weeks of vendor coordination |
Minutes, once a genuine gap is confirmed |
|
Fielding |
Human-moderated interviews or static surveys, weeks of scheduling |
AI-moderated interviews or conversational surveys, real panels or synthetic audiences, a weekend or less |
|
Analysis and delivery |
Manual analysis, a separate deliverable-build step |
Automatic, real-time analysis and deliverable creation |
|
What happens to the results |
Filed away, rarely reused |
Fed back into a searchable Data Archive automatically |
See Agentic Market Research Fielded on Your Own Question
The fastest way to see the difference between a traditional study timeline and agentic market research is to field a question against your own research gap. Visit the Sagan Agents page to see the full platform, or use the form below to start a conversation about a pilot.
Frequently Asked Questions
