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BuyerIQ vs User Interviews

Participant conversations and AI-generated hypotheses serve different purposes

Last updated: September 2026

Plan recruitment around your research questions

Interviews provide participant perspectives and context. Recruiting relevant participants is one part of designing useful research.

Recruitment, scheduling, and sample quality depend on scope and audience access. BuyerIQ can suggest segments to investigate, but generated segments are not a sample of interviewed people.

Comparison

User InterviewsBuyerIQ
RecruitmentDepends on scope and audience accessNo participant recruitment for generation; field research still needed
Interview TimeDepends on scope and interview designNo interviews conducted by generation
Total TimelineDepends on scope and recruitmentAsynchronous; duration varies
CostDepends on scope and recruitmentFounder: $39/month; up to 100 total paid AI requests per day, shared across analyses, chat, launches, and crawls
Sample SizeDepends on scope and samplingGenerated segments, not a respondent sample
ScalabilityDepends on scope and research capacityPlan daily AI request limits apply; duration varies

When to use each

Use interviews for

  • • Understanding the "why" behind behavior
  • • Feature discovery from existing users
  • • Learning customer language for copy
  • • Building relationships with early adopters

Use BuyerIQ for

  • • Pre-launch hypothesis planning
  • • Segment hypotheses to test in the field
  • • Market scenarios with assumptions to verify
  • • Planning follow-up experiments

Use them together

Use BuyerIQ to suggest hypotheses and interview questions, not calibrated purchase predictions. Field validation is required: investigate assumptions with relevant participants and observed outcomes. The research mix and sample design depend on scope, not a universal participant count.

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