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Crowd-feedback platform where real people rate uploaded photos on traits like attractiveness and trustworthiness for dating or business use.
AI-moderated interview platform for market research, running human-like interviews with up to 1,000 respondents and reports in minutes.
AI platform that unifies customer feedback from support, reviews, and social channels into real-time quality insights tied to business KPIs.
AI copilot that analyzes user feedback from reviews, surveys, calls, and tickets into product insights (now Amplitude).
No public pricing
No public pricing
No public pricing
- ✦Trait-based scoring (e.g. smart, trustworthy, attractive for dating photos)
- ✦Real human voter feedback with written comments
- ✦Free 'Karma' system: vote on others to earn votes on your own photos
- ✦Separate testing modes for Dating, Business, and Social photos
- ✦Privacy controls over who can see photos and for how long
- ✦Test-improve-retest workflow to compare photo versions
- ✦AI-moderated interviews conducted at scale (up to 1,000 respondents/hour)
- ✦24-hour turnaround to build a custom interview agent from a brief
- ✦Mixed structured and dynamic interview question formats
- ✦Distribution via a single universal link (email, text, expert networks)
- ✦Automated report generation after the response window closes
- ✦monitorQ turns customer feedback into always-on real-time intelligence
- ✦metricQ connects feedback signals to business outcomes like revenue and retention
- ✦competeQ benchmarks quality against public competitor feedback
- ✦supportQ automates QA scoring of support agent and bot conversations
- ✦interviewQ runs AI-moderated customer research interviews at scale
- ✦socialQ turns social conversations into quality signals and AI replies
- ✦Feedback aggregation from 30+ sources
- ✦AI insight extraction with hallucination detection
- ✦Trend tracking over time
- ✦Custom questions on feedback data
- ✦Automated user-story generation
- →Choosing the best dating app profile photo
- →Selecting a professional headshot for LinkedIn
- →Comparing multiple social media profile picture options
- →A/B testing photo variations before publishing them widely
- →Market research firms needing faster qualitative data collection
- →Consulting teams wanting expert/KOL interviews without weeks of scheduling
- →Product teams gathering large-sample customer feedback quickly
- →Researchers needing structured plus open-ended interview data
- →Product teams wanting to catch quality issues before they escalate
- →Support orgs automating QA scoring across every conversation
- →Teams needing to benchmark against competitor feedback
- →Leadership tying customer sentiment to revenue and retention
- →Analyzing large volumes of user feedback
- →Prioritizing product fixes and features
- →Tracking sentiment and trends over releases
- →Generating user stories from feedback