Four Roles, One System · Yunlei Shen

Four Roles, One System

4 min readShipped
Claim details
Claim workflow progress
Document review panel
Lead details

In Sugar, everyone could edit everything. So work got silently undone, and nothing had an owner. This is the companion to the architecture rebuild: the layer no screenshot shows, where five teams stopped colliding and started running a relay.

Product

Sugar CRM

My role

Product Designer

Timeline

2024 – 2025

Scope

Role-based workflows · companion project

CONTEXT

The layer you cannot screenshot

Rebuilding where things live (A CRM Worth Navigating) fixed the finding. It did nothing about the deeper failure: with no permissions and no sequence, five teams worked the same records at the same time, and every collision was invisible until someone noticed their morning had been erased.

So the subject here isn't a screen. It's the working agreement between five teams — who may touch what, in what order, and whose name goes on it — and the interface is only where that agreement gets installed.

Owned

Role modelPermission logicStatus pipelineRole workflows & UI

Partnered on

EngineersProduct MangerFinal role definitions — ops leadership

Constraint

My job was turning the org chart into a system that enforces itself.

PROBLEM

No permissions, no ownership, no order

The incident that made it undeniable

A case manager spent a morning rebuilding a packet a colleague had “corrected” overnight — who was fixing what a third person changed the day before. Three people, one record, zero owners. Multiply by five teams and eighteen statuses: submissions dropping was arithmetic, not mystery.

The first design act was subtraction. Team-lead interviews mapped the workflow: two of six roles did their real work in a third-party platform, and screens for them would be screens for an audience that was not there. Scoped out, the system got simpler before anything changed. The four roles that remained:

01

Brings leads in

Lead Conversion Specialist

02

Runs initial review

Case Manager

03

Checks the documents

Underwriter

04

Signs off

Case Review Specialist

Claim pipeline · 18 statuses, four owners

Dotted = handled outside Sugar

01

Lead intake

02

Review

03

Packet

04

Submit & close

Lead Conversion Specialist

New lead Working on lead Nurturing the lead Intake acknowledged Convert lead to claim
·
·
·

Case Manager

·
Initial review Claim review call
Claim packet ready for review Claim packet pending signature
·

Underwriter

·
Underwriter review
·
·

Case Review Specialist

·
Pre-examiner QC
Ready for CRS
·

Outside Sugar

Network Support · Mail Clerk

·
·
Ready for examiner evaluation
Mail claim to VA File sent to VA Ready for invoice

Closing states

Closed paid in full Charge off Close account settled Send to collections Marked as RECON Closed

Strategy

Policy, nudge, or enforcement

When everyone can edit everything, there are three classic responses:

A Ruled out

Write a policy and train people

The org’s first instinct, and the cheapest. But policies decay, new hires miss the training. And these errors were silent: nobody knew they had undone a colleague’s work.

No rule catches what nobody notices.

B Ruled out

Nudge with defaults

Role-filtered views without hard locks. Less friction, faster to ship — but the worst incidents came from people confidently “fixing” records they should not touch.

Filters suggest; they do not prevent.

C Chosen

Enforce in the system

Hard role-based access, sequenced handoffs, signed checkpoints. Highest build cost, and one real risk: blocking legitimate cross-role work.

Makes the failure impossible.

Solution

Restrict, sequence, and sign the work

Every fix below follows one principle: make the system’s rules legible in the interface itself. Not a policy document, not training — the screen you are looking at should tell you what is yours, what is next, and what your name is about to go on.

Solution 01

Show each role only its own work

The failure mode was work leaking downstream unverified — so every phase ends in a checkpoint, and every dashboard shows one role’s work only, because anything else on screen was a chance to break someone else’s.

Drawing those boundaries meant settling where one role’s ownership ended and the next began — the hardest lines to draw were the records two roles both had reason to touch, and getting them right took working through the real cases with the leads.

Solution 02

Two kinds of work, two kinds of flow

Forcing one flow on both kinds of work would have broken one of them: intake is sequential, review is not.

Solution 03

Status defines the action

A reviewer’s real unit of work is the queue, not the row, so state had to read across a full screen at a glance, and progress had to survive interruption.

Solution 04

Make accountability an interaction, not a policy

Accountability only sticks when someone chooses to put their name on it — so completion is a deliberate act, not an automatic flip, backed by an immutable record. Careless errors dropped measurably.

Shipped

Log in, land on your work, and only yours

Impact · Outcome

submissions

claim submissions within one month of launch

data integrity

Fewer errors

accidental changes by the wrong teams ended once access followed roles

accountability

Clear owners

every task and review gained a named, traceable owner: less confusion, less rework

Reflection

The fixes that mattered most were small: organizing tasks in the order people do them, and asking for one deliberate confirmation. Turning a messy free-for-all into a smooth, owned process was the win that counted.

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