We don’t default to one method. Every study starts with the research question, then we select whatever answers it best: surveys, interviews, usability tests, diary studies, or combinations. Psychology training means we know when each method is appropriate and when it isn’t.
Sample quality matters more than speed. Our panel participants are identity-verified at three levels: Verified, Confirmed, and Known. We enforce frequency limits (max one study per month for consumers, one per quarter for B2B) to prevent professional respondents.
We design studies with statistical rigor: appropriate sample sizes, proper randomization, validated instruments where available. We’ve published peer-reviewed research on measurement: the rapid UX-score, persuadability scales, gamification types. We hold the same standards in applied work.
AI accelerates our recruiting, screening, and initial analysis. Human researchers design the studies, moderate qualitative sessions, and interpret findings. AI handles the repetitive parts so we can spend time where it counts.
Every deliverable ends with strategic recommendations, not data dumps. Prioritized, contextualized, ready for decision-making.