$ cat services/product-discovery
Validate the idea before you build it.
A few weeks to a couple of months of research, estimation, and roadmapping before a single line of production code — so you test the idea and de-risk the build, instead of building it and hoping.
The cheapest place to be wrong is on paper.
Product discovery is a focused phase — usually a few weeks to a couple of months — that happens before the main build. Senior people dig into the problem, the users, and the technical shape of the solution, so the decision to build is made on evidence, not optimism.
You come out with a validated direction, a realistic estimate, and a roadmap — the artifacts that make the actual build faster, cheaper, and far less likely to be scrapped halfway through.
Who it's for.
You have an idea, not certainty
The concept is promising but unproven. You want to test the riskiest assumptions before committing a full build budget.
You need a real estimate
Stakeholders are asking what it will cost and how long it will take, and you want an answer grounded in analysis, not a guess.
You're choosing what to build first
There are ten features and one budget. You need a roadmap that sequences the work by value and risk.
How we work.
A clear path from first call to shipped — senior-led throughout, AI-accelerated where it counts.
Frame the problem
We align on the business goal, the users, and the assumptions that most need to be true for it to work.
Research & analyze
We investigate the users, the market, and the technical options — testing the risky assumptions, not the safe ones.
Estimate & scope
We size the build realistically and define a first slice that delivers value with the least risk.
Roadmap the build
You get a prioritized roadmap and the artifacts to move straight into delivery with confidence.
What's included.
Problem & user research
Clarity on who it's for, what they need, and where the real risk sits.
Technical feasibility
An honest read on the technical options and the shape of the solution.
Realistic estimation
A grounded view of scope, cost, and time — not a hopeful number.
Prioritized roadmap
The work sequenced by value and risk, with a clear first slice.
A go / no-go basis
Enough evidence to decide whether — and how — to build, before you commit.
A running start
Artifacts that let the build begin immediately, without re-discovering the basics.
Why Avalith.
15+ years, proven
The same Avalith that has staffed, built, and shipped software since 2011 — 180+ projects for 100+ clients, some relationships running 12 years deep.
Human-led, AI-accelerated
Senior engineers design the solution and own quality; AI agents accelerate the build under human direction. Speed without giving up judgment.
A 2,000+ talent network
Every engagement draws on 2,000+ pre-vetted developers across AI, frontend, backend, DevOps, data, QA, and security — matched to your stack.
Not sure it's worth building yet?
That's exactly what discovery is for. Tell us the idea and we'll show you how we'd de-risk it.
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