DualQ

DualQ is an AI-powered qualitative research platform that conducts structured in-depth interviews with hundreds or thousands of participants simultaneously, designed specifically for progressive organizations, political parties, trade unions, and NGOs. It combines open-ended conversational interviewing with automated semantic clustering and demographic filtering to surface what supporters, voters, members or the general population actually think and why. The platform offers an interactive dashboard and a plain-language data chat feature so campaign managers and communications staff can access insights without needing technical expertise.

Category: Research & Intelligence · Pricing: Contact Sales

Best for

Research directors, communications strategists, and campaign managers at progressive political parties, trade unions, NGOs, or political foundations who need to understand supporter or voter sentiment at scale beyond what standard surveys provide. Particularly useful for message testing, member engagement research, and informing data-driven campaign strategy.

Features

  • AI-conducted in-depth interviews (text and voice) scalable to hundreds or thousands of participants simultaneously
  • Adaptive conversation flow with open and closed questions, probing follow-ups, and topic transitions
  • Automated semantic clustering of responses linked to demographic subgroups
  • Interactive dashboard with aggregated clusters, original quotes, and demographic filters
  • Plain-language data chat that answers questions using real interview quotes as evidence
  • GDPR-compliant methodology with expert-supervised quality control at each analysis step

Pros

  • Campaign and comms teams deciding how to frame an issue, who need to know which message lands before they commit budget to it
  • Party and NGO leadership wanting to consult their own members or supporters on direction, without running a slow and expensive round of focus groups
  • Advocacy organisations working on a specific topic (housing, climate, energy) that need to understand not just support levels but the reasoning and emotion behind them
  • Research and strategy teams who need qualitative depth at a sample size a survey would normally require, and can't get that from a handful of interviews
  • Organisations researching sensitive or polarising political topics, where respondents are more candid with an AI interviewer than with a human one
  • Teams that already run representative polling but keep hitting the limit of closed questions, and want the open-ended "why" alongside the numbers

Things to know

  • Based in Germany but working on projects across Europe in multiple languages
  • Founders have extensive experience in campaigning and data science
  • DualQ can be used either with panels provided by political organizations or representative external panels