AI Product Discovery Sprint
2–3 weeks. Clarity before you over-invest in build, including when AI is in the mix. Walk away with a problem frame, experience direction, and 90-day bets.
Figure out what to build when the hard problem shows up next. Design what can actually ship.
For teams whose problems do not fit a template.
Evidence first. Decisions leaders can act on.
2–3 weeks. Clarity before you over-invest in build, including when AI is in the mix. Walk away with a problem frame, experience direction, and 90-day bets.
Discovery and experience design as the roadmap moves. Soft collaborator model when scope needs more hands.
Flows, system, and accessibility when the problem is already framed. Built to survive product, risk, ops, and engineering.
Two engagements at a national financial services provider. Discovery and experience under constraint — the method transfers.
Enrollment completion and member satisfaction each up about 20%. Network requirements met.
Read the case →Reframed declines as member trust, not only risk. Journey and opportunity map shaped the backlog.
Read the case →Plain habits, not a methodology deck.
Risk, confusion, and friction first. Features come later.
Synthesis that holds when risk, legal, and engineering share a table.
No pasted process. Each product and constraint set gets its own system.
Led by Ana Rosa Lerma. Soft collaborator model when a project needs more hands.
Product and UX across startups and Fortune 100 financial services. Strongest where problems are multi-owned and trust-critical.
Based in Texas. Available for direct engagements and collaboration with design consultancies.
Read more about the studio →Scoping, Sprint questions, workshop requests. Reply within two business days.