Understand why customers behave the way they do—not just what they do. I scope and run end-to-end research programs that surface meaningful insights, validate direction, and accelerate product alignment. Whether you’re launching something new or sharpening what exists, the work reveals what truly matters—and what doesn’t.

Best for: “We’re making a big bet,” “We’re misaligned,” or “We launched and usage is low.”

• You’re making a big bet and want confidence before investing in the wrong feature or idea.

• The team is misaligned and everyone has a different story about “what users need.”

• You shipped, but usage is lower than expected—and you don’t know why.

• You’ve never talked to users and are relying on analytics without context.

• You want to scale insights, not assumptions.

• Team outcomes: faster decisions, less rework, real alignment across PM/Design/Eng.

• Confidence through clarity. Research separates signal from noise so you can act decisively.

• Faster validation. Test ideas early, iterate smarter, and avoid long post-launch loops.

• Reduced product risk. Ground direction in user behavior to avoid building the wrong thing.

• Cross-functional alignment. Research becomes a shared foundation for Design, PM, Eng, and leadership.

• Empathy at scale. Build what people actually want—not just what stakeholders think they want.

• 3-Week Decision Sprint: scope the bet → recruit 10–15 users → run interviews/usability → synthesize fast → Decision Doc with 3 next bets and success metrics.

• 6–8 Week Foundational Discovery: stakeholder alignment → recruit across segments → mixed-methods (depth interviews + light quant) → journeys/JTBD → Roadmap recommendations with risks & dependencies.

• Research plan, screeners, and discussion guides

• Sessions (moderated/unmoderated), raw notes/transcripts

• Synthesis artifacts (insight clusters, journeys, jobs)

• Decision doc with recommendations & success metrics

• Stakeholder readout + next-bets roadmap

Who’s involved: Research lead (me), PM/Design partners; analytics loop-in as needed.

Typical timelines: Decision Sprint (3 weeks) or Foundational Discovery (6–8 weeks).

• 70% of digital transformation efforts fail due to lack of user understanding. (McKinsey)

• Companies that leverage user research grow ~2× faster than those that don’t. (Forrester / NN/g)

• Only 55% of product teams regularly talk to users—those that do are far more likely to launch successfully. (Productboard)

• Testing with just 5 users surfaces ~85% of usability issues. (NN/g)