What is Candor?
Candor is a qualitative synthetic user research platform that builds synthetic participants from real, citable evidence — government statistics, industry reports, peer-reviewed research, and your own uploaded documents — then lets you interview them. Unlike tools that rely on generic AI imagination, every participant attribute is labelled with the evidence behind it, so you can verify what you're hearing.
Key Features
- Evidence-grounded participants: Candor searches published data or uses your uploaded interviews, surveys, and internal briefs. Your documents take priority over web evidence.
- Adaptive interviewing: The interviewer follows up uniquely per participant, abandons the guide when conversations get interesting, and knows when a topic is exhausted.
- Methodology suggestions: Describe what you want to learn and Candor recommends a study type, builds the interview guide, and adapts the synthesis.
- Persistent memory: Participants remember prior interviews — the stories they told, opinions shared, and decisions described.
- Participants that push back: No generic AI agreeableness; participants hold positions and disagree with each other.
- Critic review: A separate critic checks every response against prior statements and underlying evidence to catch contradictions.
- Actionable reports: Synthesized findings with full transcripts attached so you can check any finding against what was said.
Use Cases
- Problem discovery: Surface real pains and unmet needs before scoping a solution.
- Problem validation: Pressure-test whether a problem is real, painful, and worth building for.
- Concept testing: Test products, features, names, and messaging before committing.
- Price testing: Test tiers, packaging, and launch prices to find where willingness-to-pay breaks.
Who It's For
Product teams and PMs, startups and consultants, research and insights leaders, and innovation teams who need decision-grade qualitative signal in hours rather than weeks. Built by Highline Beta.
