A 0 to 1 internal platform that replaced spreadsheets with an intelligent workspace, giving Square’s Account Managers a single place to manage their book and act on AI-powered signals before problems escalated.

Role
Lead Product Designer
Company
Block (Square)
Timeline

2025, ~3 months to launch

Scope
  • ~200 AMs
  • 53,000+ seller accounts
Team
  • 1 PM, 4 Engineers,
  • 2 Data, 2 ML

One workspace to prioritize prepare decide on a book of business.

Account management platform full journey
The problem

The job before SmartHub.

Square’s highest-value Account Managers were running million-dollar seller relationships out of Google Sheets. Every morning meant opening multiple tools, cross-referencing data that didn’t always match, and piecing together a picture of accounts worth millions. There was no signal telling them who needed attention, no way to see problems coming, and no visibility into how their book was performing against the new variable pay structure that determined their own compensation.

The approach

Built around how AMs work.

I shifted research away from asking AMs what they liked about existing tools and instead asked them to walk me through their day. That reframe surfaced what months of earlier conversations had missed. AMs weren’t struggling with features, they were struggling with prioritization, fragmented context, and not knowing where to focus. The goal became a platform opinionated enough to replace a spreadsheet, and flexible enough not to feel like one.

A day in the life

From assembling a picture every morning, to walking in already oriented.

Account Management Entire Book of Business View

Who needs attention today.

The accounts table surfaces the full book in one view. Signal pills flag risk, growth, and retention activity. The variable pay column shows which sellers count toward comp and how they’re trending. In one screen, the AM goes from scattered to oriented.

Knowing who's at risk before they go quiet.

This is how we solved the proactive part of the problem. Each signal, score, and recommendation was designed to give AMs context before a conversation started, not after.

1

Churn Risk

Eight risk categories modeled across past interactions, with the top three surfaced per seller and an AI summary of the last six months.
2

CSAT AI

A sentiment score pulled from the latest seller transcript. The AM knows the mood before the call starts.
3

Subscription Recommendation

A tier recommendation with the reasons behind it, plus a cost estimate showing whether the seller saves money or not.
4

AM Assistant

A conversational interface available globally. Prep, recommendations, and answers without leaving the workflow.
Account Details Views with all merchants

150 merchants. One hierarchy.

The accounts table surfaces the full book in one view. Signal pills flag risk, growth, and retention activity. The variable pay column shows which sellers count toward comp and how they’re trending. In one screen, the AM goes from scattered to oriented.

Outcomes

200

Account Managers reached

13,000

Seller accounts managed

40,000

Sellers reached as patterns scaled
REFLECTION

You can't design a workspace for someone until you understand how they actually think about their work.