Adaptive buyer research agent
User Yield turns buyer answers into sharper follow-up questions.
An adaptive research agent follows each respondent's context, uncovering objections and buying criteria without putting everyone through the same long questionnaire.
The impact
42%
higher survey completion
Adaptive buyer research agent
Case study facts
- Industry
- SaaS
- Team
- Marketing
- Systems connected
- 3
- Time to live
- 2 weeks
- Engagement
- AI implementation
The impact
Results for the team
- higher survey completion
- 42%
- higher survey completion
- More participants finish the survey as follow-up questions adapt to their earlier answers.
- less time preparing research themes
- 68%
- less time preparing research themes
- Responses are grouped into evidence-linked themes, reducing manual preparation of the research summary.
- more useful follow-up responses
- 2.4×
- more useful follow-up responses
- Follow-up questions yield more responses that clarify objections, decision criteria and buying context.
Situation
The useful answer needed another question.
Static surveys ask questions that may not apply and often stop just when an answer becomes interesting. Open-ended responses then need careful reading before they can inform a product or marketing decision.
Challenge
Static surveys missed the follow-up.
Follow-up questions needed to be relevant without leading the respondent. Analysis then had to preserve context and contradictory answers, rather than turning a collection of different experiences into one unsupported conclusion.
What we built
Research that adapts to the answer.
The research agent starts with a defined learning objective and approved question boundaries. It selects a relevant follow-up from the respondent's prior answer, avoids leading language and keeps the session within a reasonable scope.
Analysis groups themes while retaining deidentified excerpts and contradictory answers, so the team can inspect the evidence behind every finding.
- Frame the decision
Specify the decision the research needs to inform.
- Set the boundaries
Approve topics, consent language and respondent eligibility.
- Ask and adapt
The agent picks the most relevant follow-up without leading the respondent.
- Preserve the evidence
Keep each response in context and strip unnecessary identifiers.
- Synthesize themes
Summarize patterns alongside exceptions and conflicting views.
- Connect to decisions
Turn findings into evidence-backed hypotheses for the team.
Evals and guardrails
Evaluate questions. Preserve respondent evidence.
Interview evals
Use reviewer-checked conversations to assess useful follow-ups, leading questions and repetition. Test refusals and sensitive disclosures.
Summary evals
Check themes against anonymized responses. Test for missing minority views, ignored contradictions and invented quotations.
Guardrails
Enforce consent, skip and stop choices. Keep questions within approved topics, remove identifiers and link each theme to its source responses.
Results
Buyer themes retain their evidence.
More participants finish the survey as follow-up questions adapt to their earlier answers. Responses are grouped into evidence-linked themes, reducing manual preparation of the research summary.
Follow-up questions yield more responses that clarify objections, decision criteria and buying context.
- higher survey completion
- 42%higher survey completion
- less time preparing research themes
- 68%less time preparing research themes
- more useful follow-up responses
- 2.4×more useful follow-up responses
From User Yield
“We needed our optimization tooling in-house rather than rented. Now we build and test client funnels on our own system, and the testing keeps running between projects.”
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