Good research looks different depending on where your product is: 1) Early-stage teams need to understand who they're building for and why. 2) Growth-stage teams need to know why users aren't converting, returning, or forming habits. 3) Mature products need to find the next edge.

I work across the full arc: from open-ended discovery to behavioral research that explains what users actually do and why. This includes user attitude, habit formation, and engagement studies: how mindsets and routines get built, what breaks them, and how product decisions can work with behavior rather than against it.

• Jobs to be done

• Rapid concept testing

• Heuristic analysis

• Eval & rubrics for AI products

• Discovery sprint to uncover mental models, journeys, and attitudes

In-person or AI-moderated interviews and usability testing

Most teams hit the same wall: one researcher, too many requests, lack of good system. I work with product, design, data, and engineering leads to find where research is getting stuck, and build the infrastructure to fix it.

This helps making sure the right questions get asked at the right moments, and that insights don't die in a slide deck. I've built research functions from zero at multiple companies and know what actually scales versus what looks good on paper.

• Research democratization + governance

• Easy to understand research playbooks

• Synthetic users/AI persona and when to use it

Growth teams run experiments. Research tells you which ones are worth running. I help teams diagnose what's actually blocking conversion, retention, or expansion — and identify the behavioral and attitudinal patterns that point to where real growth is hiding.

Invest in what’s next and why users aren't doing what your metrics say they should be doing.

• Churn & trust

• Retention

• Willingness to pay

• Referral mechanics

• Freemium to paid models

• Funnel analysis with surveys