Process

Predictable delivery, fast iteration.

A simple 6-step approach with clear outputs and crisp communication — designed to reduce risk while shipping quickly.

Step 1

Discovery & goals

We lock the problem framing, constraints, and success signals.

We clarify users, outcomes, constraints, and success metrics. Then we align on scope and timelines.

You get

  • Problem & goals brief
  • User/jobs outline
  • Constraints & risks list
  • Success metrics draft
Typical:2–3 daysCadence:Live kickoff + async follow-ups
Step 2

Solution design

Architecture, data, and plan are decided before build.

We outline architecture, data model, and UI structure. You get a clear plan before heavy build work starts.

You get

  • Architecture note + diagrams
  • Data model / contracts
  • Backlog with priorities
  • Delivery plan + owners
Typical:3–5 daysCadence:2×/week async updates
arch.md • data-model.sql • api-contract.yaml
Step 3

Sprint setup

Environment, CI, and analytics hooks ready for shipping.

We prepare environments, CI, and analytics so shipping is repeatable from day one.

You get

  • Environments & access
  • CI checks + previews
  • Observability defaults
  • Analytics/event plan
Typical:2–4 daysCadence:Daily async + weekly demo
Step 4

Build in sprints

Ship increments with demos; de-risk edge cases early.

We ship in short iterations with working increments, demos, and risk controls.

You get

  • Working increments per sprint
  • Demo-ready builds
  • Tests on critical flows
  • Changelog & decisions
Typical:1–3 weeksCadence:2–3 async updates/week
Checklist: logging ✅ alerts ✅ retries ✅
Step 5

QA & launch prep

Hardening with checklists, resilience, and ops hooks.

We test critical flows, handle edge cases, and add sensible operational hooks.

You get

  • End-to-end smoke list
  • Rollback + release plan
  • Runbooks & access map
  • Support handover pack
Typical:3–7 daysCadence:Demo + launch review
Release: checklist + rollback plan
Step 6

Launch & iterate

Ship, monitor, and iterate from real usage signals.

We improve based on real usage: performance, new features, integrations, and ongoing maintenance.

You get

  • Post-launch checks
  • Issue triage + fixes
  • Next-iteration backlog
  • Performance/UX tweaks
Typical:OngoingCadence:Weekly triage + roadmap sync

What you get

Outputs at each step

  • Weekly progress update with demos (or more frequent if needed)
  • Shared backlog and priorities
  • Transparent tradeoffs and decision logs
  • Clean handover: docs, source code, deployment notes

Communication

Cadence

  • Kickoff call (60–90 min)
  • 2–3 async updates per week
  • Weekly demo + planning
  • Dedicated chat channel for quick questions
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