Soren Amadi

AI research tools amplify historical biases hidden in their training data.

Skipping rigor shortcuts saves time now but costs money later in wrong decisions.

Catch product failures before tooling costs by testing concepts with real consumers first.

Smart research depends on matching method to question, not just picking the fastest tool.

The decisions behind data source and structure determine whether your panel answers are trustworthy.

AI agents trained on real data can now simulate how specific consumer groups think and answer.

Moderated testing reveals why users struggle; unmoderated shows how many do.

AI lets researchers analyze hundreds of sessions instead of dozens.

Match your research question, sample size, speed, and budget before selecting a method.

How to redesign recruitment workflows to eliminate delays and catch bad-faith participants.

Speed lets research influence strategy before decisions lock in, not after.

Combine behavioral data with customer interviews to understand not just what users do, but why.

Synthetic panels and AI interviews replace costly local agencies for market entry discovery.

How three shopping archetypes reveal which customers are worth keeping.

Five psychographic dimensions reveal who your customer is and why they actually buy.

Five testing methods reveal whether your message actually lands with the buyers who matter.

AI-led research requires measuring consistency differently than human moderation does.

How teams avoid invisible research debt without dedicated researchers.

AI integration collapses the cost and timeline of mixing qualitative depth with quantitative scale.

AI transforms raw research data into actionable patterns at scale.

Always-on research feeds decisions weekly instead of months after they're made.

Faster iteration and cheaper hypothesis testing reshape how teams define and refine customer groups.

Direct questions systematically understate what buyers will actually pay for your product.