Product discovery
Customer interviews, problem framing, opportunity-solution trees. The work that prevents shipping the wrong thing fast.
interviews · OST · evidenceDiscovery, design, engineering, data — one pod, one outcome. We take a thesis and turn it into a product in market, with the metrics to prove it landed. Long-running, dual-track, opinionated on the customer.
Six capabilities every product pod earns its keep with.
Customer interviews, problem framing, opportunity-solution trees. The work that prevents shipping the wrong thing fast.
interviews · OST · evidenceFlows, prototype, design system, accessibility. Design that ships, not design that lives in Figma forever.
flow · prototype · DSWeb, mobile, backend, infra under one tech-lead. No handoffs — the same humans own the experience and the database.
web · mobile · backend · infraActivation, retention, NPS, North-Star metric instrumented before launch — not after. Telemetry as a feature.
north-star · activation · retentionPricing experiments, onboarding instrumentation, sales-led / PLG split. We build the product — and the way it gets sold.
PLG · pricing · onboardingThe pod runs the product after launch — iteration, on-call, growth experiments — until you're ready to bring it in-house.
own · iterate · transitionA typical 0→1 pod — six people, one outcome. We resize for 1→N when it's time to scale.
The pod doesn't hand off design to engineering or engineering to QA. The same six humans own the product from interview to incident.
Discovery runs in parallel with delivery — not as a phase. Evidence informs the backlog continuously.
Every Friday: working software, a customer call summary, one metric moved or measured.
Most pods run 6–18 months. Long enough to know the product, short enough to stay sharp.
When you're ready, we transition to your team — with the documentation and the customer relationships intact.
Not a methodology religion. A small set of tools and rituals we've seen survive the messy middle.
The shape every successful 0→1 pod we've run has followed — with different details, same rhythm.
Customer thesis, north-star metric, three biggest assumptions — written down, then tested.
Interviews, prototype, design system, scoped MVP. The bet narrows; the system widens.
Two-week iterations, weekly demo, telemetry live, real users by the end.
Soft launch, billing, pricing experiments, public GA when activation hits target.
Pod stays for 1→N growth, or hands off to your team with docs and customer hand-off.
No internal tool with a coat of paint. Each one a product in market with paying customers.
B2B SaaS spinout. Pod ran discovery, design, build, launch, and the first three growth experiments. Hit $1M ARR in month nine.
Marketplace founder hired the pod to fix onboarding. Three quarters in, activation 61% → 84%, retention up, NPS +24.
Lifestyle app for a consumer brand. Pod ran 22 weeks, shipped to both stores in lockstep, transitioned to client team in week 26.
Send us the thesis, the customer you have in mind, and the one metric you'd defend. We'll come back with a pod shape, a six-month plan, and the bets we'd test first.