About Speedcn Atelier

A performance lab built for companies that want diagnosis before decoration.

Speedcn Atelier exists for teams that already have traffic, pages, dashboards, and competing theories about what is going wrong. We step in when the site needs a clear operating model for performance instead of another cycle of unranked ideas.

Our mission.

We help companies understand why performance is drifting and what sequence of changes will create the strongest lift with the least internal confusion.

  • Replace sprawling wish lists with ranked performance decisions.
  • Trace business problems back to the page, template, and measurement layer.
  • Help internal teams ship changes that can be defended with evidence.
  • Build a repeatable rhythm for ongoing experimentation and review.

How we work

Systems view We inspect the full operating chain

Search, landing pages, performance, analytics, and funnel logic are never treated in isolation.

Implementation bias We stay close to the shipping layer

Recommendations become tasks, briefs, experiments, QA notes, and stakeholder decisions.

Evidence discipline We keep confidence visible

Every priority comes with rationale, expected effect, and a clear level of certainty.

Leadership.

Senior operators set the frame, then pull in deeper specialists where the diagnostic shows the real constraint.

Avery Lin Founder & Performance Director

Oversees diagnostic design, engagement strategy, and the balance between fast fixes and deeper structural change.

Noah Keene Search Systems Lead

Leads technical SEO, information architecture, and the structural decisions that improve non-brand discoverability.

Selene Brooks Experimentation & Insight Lead

Directs conversion diagnostics, test framing, and the reporting logic that ties page changes to business movement.

Operating rules.

Performance work gets noisy fast. These rules keep us anchored in what is measurable, consequential, and realistically shippable.

01

Interrogate assumptions

Teams often arrive with strong theories. We test them against behavior, trace data, and ranking patterns before acting.

02

Rank by leverage

Not all opportunities deserve attention. We bias toward moves with visible business impact and feasible ownership.

03

Make reporting useful

Dashboards should help teams decide, not simply document activity after the fact.

04

Leave the team stronger

The long-term goal is better internal performance literacy, not permanent external dependency.

Need an outside team to make the problem legible?

We are most useful when multiple stakeholders feel the site is underperforming but nobody agrees on the highest-cost cause.

Talk to the lab