The Challenge

Every A.Team engagement is different—new products, new industries, new stakeholders. Brynn’s challenge wasn’t a lack of skill or clarity of process, but time.

When joining a new clients team, he was often dropped into half-built roadmaps, scattered documentation, and competing priorities. Expectations were sky-high: he needed to align the team around a shared vision, define measurable goals, and identify opportunities for AI leverage, all within the first sprint.

But with traditional tools, this was a manual and messy process. Discovery notes were buried across Notion pages, Slack threads, and Miro boards. ChatGPT couldn’t help either—it lacked the project’s context, existing user insights, or knowledge of what had already been shipped.

As Brynn put it:

“When you’re dropped into a new product team, you’re expected to have answers by day three. Squad gives me a foundation instantly. I can see what’s been built, what’s working, and what’s missing without having to dig for hours.”

The Solution

Brynn began using Squad AI as his onboarding and strategy assistant for every new project he joined.

Instead of piecing together context from dozens of tools, he imported existing artifacts—PRDs, design mocks, customer feedback, and analytics snapshots—directly into Squad. Within minutes, Squad created a knowledge base of everything the team had built, was working on, or planned next.

From there, Squad discovered insights and opportunities tied to the client’s stated goals. Brynn could immediately identify gaps in strategy, surface quick wins, and prioritise AI-driven features that delivered measurable impact.

Day to day, Squad became his anchor: drafting PRDs, summarising customer insights, and helping him keep the project’s objectives front and centre. Integrations with Linear and Notion made it easy to push refined specs into the client’s workflow, while Squad’s insights provided a data-backed narrative for stakeholder alignment sessions.

“At A.Team, speed is everything. Squad helps us move fast without losing strategic depth. It lets me bring clarity into chaos and make sure every action ties back to what actually matters.”

The Outcome

Results were immediate. Instead of spending his first two weeks gathering context, Brynn could start delivering meaningful recommendations on day one. Each project saw faster alignment between stakeholders, more consistent documentation, and clearer reasoning behind every product decision.

Across a one month project, Brynn estimates he saved 30+ hours that would previously have gone into manual onboarding, documentation rewriting, and chasing down decisions. Clients also noticed the difference—projects ramped faster, deliverables felt more coherent, and teams stayed aligned even as scopes evolved.

But for Brynn, the real value wasn’t just in speed:

“Squad makes me look like I’ve been part of the team for months, even if I just joined. It captures the institutional memory so I can focus on making better product calls, not piecing together what happened before I arrived.”

Looking Ahead

For A.Team, where high-performing product teams drop into complex environments and are expected to deliver immediate results, Squad is becoming a secret weapon. It provides the context and structure that turn first-week uncertainty into first-week impact.

As Brynn and his peers take on more AI-orientated projects, Squad ensures that discovery, strategy, and roadmap execution remain connected, enabling every embedded team to move fast and think deeply.