Product discovery & definition
Interviews, jobs-to-be-done and a scoped first release — the argument for what to cut is worth more than the list of what to build.
From first screen to renewal — subscription products designed to be lived in.
A SaaS product is judged twice: once in the first ten minutes and again at renewal. We design and build for both — an onboarding path that reaches value before curiosity runs out, and an architecture where tenancy, billing and permissions are decided early instead of retrofitted during the first enterprise deal.
Interviews, jobs-to-be-done and a scoped first release — the argument for what to cut is worth more than the list of what to build.
Interface design carried by a token-driven component library, so the tenth screen costs a fraction of the first and still looks like the same product.
Tenancy, isolation and role-based access designed up front, including the data model you will need the first time a customer asks for SSO.
Plans, trials, usage metering, proration and dunning wired to a payment provider, with the edge cases finance will ask about already handled.
In-product reporting your users trust, plus the event model your team needs to see activation and churn coming.
Empty states, sample data, checklists and lifecycle messaging aimed at the one action that predicts retention.
Public APIs, webhooks and the handful of native integrations that decide whether your product survives a procurement review.
We frame the job, the user and the first release, then argue scope down until it can ship in a quarter and still be worth paying for.
A clickable prototype settles the interface debates cheaply; then tenancy, auth, billing and the design system go in before feature work spreads across them.
Ship to real users behind flags, watch activation and support load, and iterate on the steps where people stall rather than on the roadmap you wrote in month one.
Yes. We start with an architecture and delivery review, agree what to keep, and work in your repository with your release process rather than rewriting by reflex.
Typically TypeScript end to end — React with a modern full-stack router on the front, Node services and Postgres behind — unless your team already runs something they maintain well.
Most engagements continue as a retained team through the first year, because the decisions that matter for retention are made after real usage, not before it.