Service 01

Products that survive their own success.

Shipping an MVP is the easy part. We engineer for the second year: the data model that still fits, the test suite that still passes, the team that can change it without us in the room.

Pod size3–6 senior engineers
First release6–10 weeks
EngagementMonthly capacity
HandoverRunbooks + ADRs

Engagement models

Two starting points, one standard of delivery.

The stages look similar from the outside. What changes is where the risk sits — and that changes what we do first.

You have a validated problem and no system yet. Most of the risk is in scope: we cut to the smallest thing that can be used for real, then build the spine properly so version two is not a rewrite.

  1. 01DiscoverUsers, constraints and the one workflow that must work on day one.1–2 weeks
  2. 02DefineA first release you can defend, and an explicit not-yet list.Scope signed
  3. 03Design & architectPrototype the critical flow; pick the data model that survives pivots.2 weeks
  4. 04Build, test & launchTwo-week increments, CI suite from the first merge, staged rollout.6–10 weeks
  5. 05Measure & improveInstrument adoption, fix the top three friction points, hand over.30-day window

One pod covers the whole surface.

No handoff tax between design, backend and QA — they sit in the same standup.

UX & UI designFlow-first design, reviewed against the data model rather than after it.
FrontendTyped component systems, accessibility budgets, measured performance.
BackendDomain modelling, APIs, background work and integration boundaries.
MobileCross-platform where it fits, native modules where it does not.
CloudInfrastructure as code in your account, with cost visibility from week one.
DevOpsPipelines, environments and release automation your team can operate.
AnalyticsEvents defined with the feature, so adoption is measurable at launch.
QAA test strategy in the architecture phase and suites in CI from day one.

Where we’ve done this before

EducationHealthcareFinancial servicesLogisticsProfessional servicesSaaS & platforms
EDUCATION/PLATFORMUnified student platform, four campusesNine tools consolidated into one platform with a shared identity layer.-71%FINANCE/ANALYTICSReporting product rebuilt around one data modelSix inherited services reduced to two, with every figure traceable to source.8×

Product engineering questions

Discovery and design are fixed-price so you can evaluate us cheaply. Delivery runs as monthly capacity with a named pod, a milestone schedule and a scope you approve each increment.

Tell us what the product has to do in year two.