BuyerIQ vs Customer Surveys

Customer responses and AI-generated hypotheses serve different purposes

Last updated: September 2026

The stated preference problem

Survey responses can describe reported needs and preferences, but stated purchase intent is not the same as an observed purchase.

Interpretation depends on question design, sampling, and context. BuyerIQ generates hypotheses rather than collecting responses or observing behavior; it does not resolve these evidence gaps.

Comparison

	Customer Surveys	BuyerIQ
Method	Ask people what they'll buy	Generate hypotheses to test
Evidence limits	Depends on scope, sampling, and question design	No published product-specific accuracy benchmark
Time	Depends on scope and recruitment	Asynchronous; duration varies
Cost	Depends on scope and recruitment	Founder: $39/month; up to 100 total paid AI requests per day, shared across analyses, chat, launches, and crawls
Sample Size	Depends on scope and sampling	Generated segments, not a respondent sample
Data Type	Stated preferences	AI-generated hypotheses

When to use each

Use surveys for

• Measuring satisfaction from existing customers
• Gathering qualitative feedback
• Feature prioritization (post-launch)
• Brand perception measurement

Use BuyerIQ for

• Pre-launch hypothesis planning
• TAM/SAM/SOM scenarios to verify
• Suggesting audiences to research
• Fast positioning iteration

The bottom line

Surveys collect participant responses; BuyerIQ suggests market hypotheses. Neither generated scores nor stated preferences establish future purchases. Field validation is required: test assumptions with customers and observed outcomes. The appropriate research mix depends on scope.

Plan Your Market Hypotheses →