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Surveys

Get answers today. Not next quarter.

Generate model-based purchase-intent scores, objections, and segment comparisons quickly. These directional insights complement, but do not replace, human research.

No credit card required. 3 free surveys included.

~15 minutes. Start to insight.

You don't have 6 weeks. Your competitors aren't waiting.

Speed kills (your timeline)

By the time traditional research comes back, your launch window closed. Your competitor shipped. The market moved. Speed isn't a nice-to-have - it's survival.

Data isn't a decision

A spreadsheet of 500 responses doesn't tell you what to do. You need someone to interpret it, visualize it, and tell you: ship it or kill it. That's another week.

Panels are broken

Professional survey-takers earn $3/hour clicking through your questions as fast as possible. That's not your target customer. That's noise you're paying for.

Pick your research. Generate hypotheses.

Three structured frameworks help you explore specific questions before real-customer validation.

Product Survey

Explore model-generated purchase-intent scores, price sensitivity, and possible objections by segment.

  • Purchase intent by segment
  • Price sensitivity testing
  • Objection mapping by demographic

Concept Test

Explore model reactions to features, positioning angles, or product variations before deciding what to validate with customers.

  • Directional model recommendation
  • Concept clarity scoring
  • Segment-specific improvements

Competitive Analysis

Compare model-generated preferences against named competitors and identify positioning hypotheses for real-market testing.

  • Side-by-side preference data
  • Attribute-level win/loss
  • Switching intent by segment

Ask anything. We handle the methodology.

Twelve question types cover every research need. AI suggests the right questions for your objective - or build your own in seconds.

Scale 1-10

Purchase intent, NPS-style

Scale 1-5

Likert agreement scales

Multiple Choice

Pick one from options

Multi-Select

Select all that apply

Ranking

Priority ordering

A/B Choice

This or that decisions

Yes/No

Binary agreement questions

True/False

Factual verification

Open Text

In their own words

Open Ended

Detailed qualitative feedback

Price Input

Willingness to pay

Model Alignment

Model-alignment questions

Model analysis included.

Survey output includes descriptive summaries, model-simulation diagnostics, and segment breakdowns to guide further validation.

Model-response summaries.

Means, standard deviations, and model-simulation ranges summarize AI archetype responses. They do not estimate uncertainty for a human population.

  • Segment-level breakdowns
  • Cross-tabulation heatmaps
  • Model-internal comparison flags

NPS Breakdown

See where segments diverge

Cross-tabulation heatmaps summarize model-response patterns by archetype. Use them to identify audience hypotheses for real-customer validation; do not treat them as targeting or exclusion evidence.

  • Age, income, life stage breakdowns
  • Visual heatmap comparisons
  • Outlier segment highlighting

Cross-Tab: Age x Purchase Intent

Take it anywhere

PDF for the board deck. Excel for your analyst. JSON for your product team's dashboard. Every survey, every format, every time.

  • Executive summary with charts
  • Raw data for deep dives
  • API-ready structured exports

Take it anywhere

"But it's just AI making stuff up."

Fair skepticism. Here's why it's wrong.

When calibration mode is enabled, selected AI archetype responses may be compared with available demographic or behavioral reference statistics. Alignment is a model diagnostic, not evidence that the panel predicts human behavior.

The output remains model-generated and should be validated with real customers.

Structured audience archetypes
Reference-context comparisons
Persistent brand memory

Illustrative demonstration — not a measured customer result

Model Comparison Complete

~15 minutes. Start to insight.

See how AudiAInce® works - from setup to directional model output and a validation plan.

1

Pick your research type

Product exploration, concept testing, or competitive analysis. Each has a structured framework built in.

Pick your research type

2

Review the questions

We generate AI-suggested questions for review. Add your own, edit, reorder, or run the selected set.

Review the questions

3

Choose your panel

Use a recommended audience or choose specific eligible personas. Enable brand memory if they have seen you before.

Choose your panel

4

Make your decision

Stats, transcripts, segment analysis, exportable reports. Everything you need to move forward.

Make your decision

While they're still scheduling, you're already shipping.

Traditional research creates a 6-8 week gap between question and answer. That's weeks your competitors might use to beat you to market.

Time to Results
AudiAInce® ~15 min
Traditional Panel 6-8 weeks
1 min
1 hour
1 day
1 week
1 month
2 months
Illustrative workflow timing varies by study

Zero Recruitment

AI archetypes require no respondent recruitment or scheduling. They are designed profiles, not human panelists.

0 recruitment wait

Unlimited Iterations

Change a question? Test a different segment? Traditional research means starting over. Here, iterate as many times as you need until you have clarity.

Plan limits apply

Trust Signal

Evidence-ready

Your next product decision shouldn't wait 6-8 weeks.

Run your first survey free. Explore how AI audience archetypes respond, then validate important findings with your target market.