Marsh & Colby / Evidence-led workflow design

Find the evidence.
Resolve the exception.
Then bind.

Keep the familiar checklist. Make documents easier to find, discrepancies easier to resolve, and human review explicit.

Zhihan Liu · Ajaia Digital Product Designer assessment

Where the recorded effort sits

Finding sources takes longer
than completing the checklist.

Find documents
11 min
Fill checklist
3 min

LC1 · Colin, 54 submissions, last 30 days.
These are two workflow-stage averages, not total binding time or a measured saving.

Retrieval / LC217 / 54

Off-portal documents

Colin's email/fax cases took longer to locate. A source inventory addresses the hunt; integration quality still needs validation.

Correspondence / LA32.1 days

Median logged broker reply

Anika's record includes nine waits over four days. Reply sample size is unknown. Clear requests may reduce rework, not all external waiting.

Coverage review / LA2 · LC323/61 · 19/54

Limit mismatches occurred

Separate counts for Anika and Colin. Frequent discrepancies need a safe resolution path; frequency does not establish checking time.

User journey and human checkpoints

AI helps move the work. People verify the evidence.

Locate and link sources, compare originals, resolve exceptions, and prepare authorized bind review. Corrections loop back to human review.

Three screens, chosen from the evidence

ScreenJob to be doneDecision that stays human
01 · DocumentsLocate required originals across portal, email and fax.Confirm uncertain submission matches and inspect sources.
02 · Review checklistCheck candidate findings against linked originals and the authorized request.Establish the correct requirement; verify current values.
03 · Follow-upTurn reviewed gaps into a structured request; check new evidence on reply.Approve outgoing messages; review corrections before handoff.

The important tension

Anika asks for faster checklist entry, but her account and the log point toward mismatch correspondence and waiting. Colin explicitly prioritizes retrieval. This supports a different improvement priority, without inventing a numerical contradiction between the interviews and logs.

All prototype client details, amounts and documents are illustrative fixtures. Research claims come only from the supplied interviews and usage log. No business improvement or real-user test is claimed.