Process

The same sequence, whether it starts with a brand, a platform, or a single automation.

Ten stages, scaled to the scope of the engagement — discovery through growth and optimization, with AI and automation opportunities considered at every step, not bolted on at the end.

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The Stages

How an Engagement Runs

Discovery

We start by understanding the actual business problem — not the deliverable being requested, but what's blocking growth underneath it. This includes stakeholder interviews, a review of existing systems and data, and an honest look at what's working and what isn't.

Strategy

Positioning, priorities and scope are defined before any design or engineering work starts, so later decisions have a reference point instead of becoming a debate.

Research

User research, competitive analysis and technical audits ground the strategy in evidence rather than assumption, sized to what the engagement's stakes justify.

UX

Information architecture and user flows are mapped and validated before visual design, catching structural problems while they're still cheap to fix.

Design

High-fidelity UI and visual identity work, built on the design system and grounded in the strategy and research that came before it.

Development

Engineering against the validated design, on technology chosen for the specific requirement — not a default stack applied to every project.

Testing

QA, accessibility review, and usability testing where the stakes justify it, catching issues before customers do.

Launch

Deployment, monitoring setup, and a clear rollout plan — phased where the risk profile calls for it.

Growth

Growth and revenue marketing connects the product that shipped to real demand, measured against pipeline and revenue, not vanity metrics.

Optimization

Ongoing measurement and iteration — CRO testing, performance monitoring, and refinement based on real usage rather than a one-time launch and walk-away.

AI & Automation

Where AI and Automation Fit In

AI and automation opportunities are evaluated at every stage, not bolted on at the end. During discovery, we look for workflows with a measurable inefficiency; during development, we build the evaluation and monitoring that make an AI feature trustworthy rather than a demo; during growth, we look for where automation removes manual reporting or lifecycle work.

The bar is the same throughout: a specific, measurable problem, not a feature added because it's trending.

FAQ

Frequently Asked Questions

Does every engagement go through all ten stages?

No — a single-service engagement (a focused automation, a brand strategy sprint) uses the stages relevant to that scope. The full ten-stage process describes a complete platform or product build.

How long does the discovery stage typically take?

Usually 1–3 weeks depending on the complexity of existing systems and the number of stakeholders involved — enough to genuinely understand the problem without stalling the engagement.

Do you skip research and UX for smaller projects?

The depth scales to the stakes — a small internal tool gets a lighter research pass than a customer-facing product redesign, but the sequence (understand before designing, design before building) stays the same.

What happens if research reveals the original scope was wrong?

We'll say so. Discovery and research exist specifically to catch a wrong assumption before expensive design and engineering time is spent on it.

Is growth marketing always part of the process, even for a pure product build?

Not always — some engagements are scoped purely to product or platform work, with growth marketing engaged separately or not at all, depending on what you need.

How do you decide when a project is 'done' vs. entering ongoing optimization?

Fixed-scope deliverables have a clear launch and handoff; anything with an ongoing optimization component (growth marketing, AI monitoring, iterative product work) is typically structured as a retainer with its own defined cadence.

Can we bring our own research or existing brand strategy into the process?

Yes — existing research, strategy or design systems are incorporated rather than redone from scratch where they're solid, with gaps filled in only where needed.

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