We do the listening before the building
Most failed projects were scoped correctly and aimed at the wrong thing. Our method is built to catch that early: understand the work first, recommend with reasoning, then ship in short cycles you can steer.
Discovery comes first, every time
Before we write anything, we want to know how the work actually happens. What does a customer's first visit look like? What happens when something gets rescheduled, refunded, or escalated? Where does your team currently work around the software instead of with it?
The friction is usually somewhere specific, and it is rarely where the brief said it was. Finding it early is the difference between a build that helps and a build that gets worked around.
On a small engagement this is a conversation. On a larger one it is a paid discovery phase that ends with a written requirements document you own, whether or not you build with us.
How the work runs, start to finish
The same six steps apply whether we are building an application, rebuilding a store, or picking up an existing site. The size of each step changes. The order does not.
Listen
We sit with the people who do the work, not only the people who commissioned it. Program staff, marketers, clinicians, whoever lives in the system daily. We also look at the code and the analytics, because what people describe and what the data shows are rarely identical.
Recommend, with the reasoning attached
You get a specific recommendation and the argument behind it: what we compared, what it costs to run, and what the risk is. Where a recommendation rests on numbers, we show the numbers. Where it rests on judgment, we say that too.
Agree on a scope, in writing
What is in, what is out, what it costs, and what we need from you. Clients pay upfront, which means we show up as partners from day one, and it means the number you approve is the number you pay.
Build in two-week cycles
Every cycle starts from a shared backlog and an agreed set of priorities, and ends with working software plus a summary of what shipped, what is next, and what is blocked. Part of each cycle is held back for the urgent things that were never on the roadmap.
Test for real people, not just for pass marks
Accessibility checks with a keyboard and a screen reader, not only an automated scan. Cross-device testing on the browsers your visitors actually use. Anything touching money or patient data gets tested end to end before it replaces what is live.
Hand over, then stay
Training on the workflows your team needs, short written references for the routine tasks, and a thirty-day stabilization period after every build. Most clients move into an ongoing arrangement afterward. That is the norm for us rather than the upsell.
The same method, three very different problems
A store rebuilt beside the live one, a software search that ended in buying rather than building, and a clinic where the news sets the schedule.
Rebuilding a Shopify store, then maintaining it
Picking the right software for a nonprofit, then actually adopting it
Running the development team for a Phoenix healthcare clinic
What the method feels like from the other side
Grayce M.
Brand & Community Manager, Rootless
Marvin S.
Program & Community Engagement Director, Rosie's House
Lisa G.
Founder, LGN Collaborations
Questions about how we work
- What does being data-informed actually mean in practice?
-
It means a recommendation arrives with its evidence. If we suggest restructuring your navigation, we will show you what people are searching for and where they drop off. If we suggest cutting a feature, we will show you how little it is used.
It also means being clear about the opposite case. Where there is no data, we tell you we are working from experience and judgment rather than presenting an opinion as a finding.
- Do we have to go through discovery if we already know what we want?
-
Not always. For a page build or a well-defined fix, a conversation is enough. For anything custom, we do insist, because the cost of building the wrong thing is much higher than the cost of a short discovery phase.
Knowing what you want is genuinely useful and it speeds discovery up. What it does not usually cover is the edge cases, the integrations, and the parts of the workflow that only surface when we ask the people who do the job.
- What if Discovery tells us we shouldn't build?
-
Then we'll say so. The goal of Discovery is to find the right answer, not to sell you a build. If there's a tool that already does what you need, we'll name it. If the economics don't work for custom development at your scale, we'll tell you that too. A $3,500 Discovery engagement that saves you from a $50,000 build that wasn't the right fit is a good outcome. We'd rather that than the alternative.
- Will my site be WCAG AA compliant after working with you?
-
For most engagements, yes. For some engagements, usually when legacy code or third-party platforms make full remediation cost-prohibitive in one pass, the realistic outcome is a documented plan that moves you toward AA over time. We let you know what's most likely for your situation before the work starts.
- Do you use AI coding tools on client work?
-
Yes, with guardrails. They speed up the parts of the work that are repetitive and well understood. A person reviews everything before it ships, and we do not point them at work with security, privacy, or compliance stakes without a close human read.
- Who will I be talking to?
-
The people who would actually do the work. You will not be handed to a salesperson and then reintroduced to a delivery team later.
Want to see how this would apply to your project?
A free consultation is a small version of the first step. You describe the problem, we ask the questions we would ask anyway, and you leave with a read on what we would do first.
No cost, no invoice afterward, and no obligation to hire us.
