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Back Product · For Founders

From a raw idea to a build-ready PRD in 2–3 weeks.

A dedicated Business Analyst validates the idea, sizes the market and turns a concept into documentation your dev team can execute.

A dedicated Business Analyst sits with you before a single line of code is written — validating the idea, sizing the market, and turning a raw concept into a build-ready PRD your dev team can execute from day one.

We publish these because most of what's written about software delivery and AI is either pure hype or pure cynicism — this is just an honest account of how we actually work.

We're deliberately not the studio that quotes you a number and disappears until the deadline. Expect short, regular check-ins, staging access from early on, and a straight answer any time something turns out to be harder — or easier — than it looked at the start. If a piece of this isn't the right fit for your team, we'll say so directly rather than stretching the engagement to fill a quarter.

How we build it

01

Validate the idea

Market sizing and problem validation before any spec gets written.

02

Write the PRD

A build-ready document engineers can estimate and execute against directly.

03

Hand off clean

Your dev team — or ours — starts building with zero ambiguity.

Frequently asked

Yes — this reflects our real day-to-day process, not a marketing simplification. Ask us for specifics on any project and we'll walk you through it in as much detail as you want.

This is one of a small set of field notes we publish — get in touch and we're happy to talk through any of it in more depth, including specific numbers and examples.

The same principles apply regardless of size — a two-week landing page project gets the same review discipline as a multi-month platform build, just scaled to fit.

Who this is for

  • Founders and engineering leads thinking about how AI fits into their own delivery process
  • Anyone evaluating how we think about the work before reaching out
  • Teams comparing how different studios talk about AI versus how they actually use it

What you walk away with

  • An honest account of how the work actually happens, not a simplified pitch
  • Specific, concrete examples rather than abstractions

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