Institutional Verification Redesign (KYB)

// 2 weeks · UX/UI design · Web

// Role: lead designer on the flow — with 1 PM, front-end & back-end

KYB institutional verification flow — key screens

Reframed an “add a selector” request into a root-cause redesign of document submission — for the institutional segment that drives 30–70% of exchange trading volume.

01 · Problem

The why

The request was cosmetic. The real problem was comprehension.

KYB is how institutional clients verify their company to trade. Institutional clients drive 30–70% of exchange volume — every drop-off here is lost revenue in the highest-value segment.

A user research report flagged a low KYB conversion rate. A feature request landed on my desk to “fix” it.

The request I was handed
“Add a company-type selector so users only see the fields relevant to them.”
A reasonable-sounding feature request.
Company info submitted — 169
89%
Contact person submitted — 151
75%
Documents submitted — 114
41%
KYB approved — 47

Nov KYB self-submission funnel · % = conversion from the step above. Starts at company-info submission, excluding pre-intent homepage traffic the report flagged as non-institutional noise.

02 · Data-driven insight

Prove the why, then pinpoint the where

82% resubmitted — a clarity problem, not a motivation problem.

01
What the data showed

Users weren’t abandoning out of disinterest — they were failing, resubmitting, and stalling. These three numbers set the baseline.

41%document submissions passed review
82%resubmission rate — primary friction signal
~40%took more than 5 days to complete
02
Why — the failure chain

From the research report and internal interviews — not a motivation drop-off, a comprehension loop.

Wall-of-text requirements wrong documents submitted rejection abandonment
03
Where — two modules drove ~90% of failures
CBR / PoA — wrong document
67%
Shareholder register (>25%)
24%
Other modules
9%

Share of document-submission failures by module (Nov).

04
What to fix — two precise targets
① CBR vs PoA · 67% wrong

Board vs no board

The split — with vs without a board of directors, two different legal documents apply.

The failure — buried in a wall of text; users never noticed and uploaded the wrong one.

② Shareholders > 25% · 24% wrong

Ownership thresholds

The rule — shareholders owning >25% trigger additional documents; further conditions add even more.

The failure — users couldn’t track cascading requirements from static text.

So what

Redesign focus

Takeaway — fix these two modules and the redesign has a clear, measurable focus.

Previous design — the two document modules where most submissions failed

Previous design — key distinctions buried in dense text at exactly these two modules.

03 · Approach

Benchmark the pattern, then decide what to keep

Competitor research was an input — alternatives were my decision.

What leading platforms do

Three patterns recurred across Binance, OKX, Coinbase and Kraken — inputs to my solution, not the answer.

Three recurring patterns across leading exchanges — pre-select entity type, upfront document checklist, plain-language instructions

Benchmarking institutional verification flows across leading exchanges.

Alternatives I considered — and how each earned its place
Company-type selector — a dropdown for picking the entity type before verification
Option A · kept for scale

Company-type selector

Today’s bottleneck — doesn’t fix comprehension failures.
At scale — as EU and AU regulation expands, document requirements diverge by region; the selector routes the right set per market.

Help text — an info tooltip that explains a complex field inline
Option B · supporting role

Help text

Users already skip long text, so I used it only for basic concept explanation — never as the fix for complex requirements.

Guided required choice — a required selection that routes the user down the correct path
Option C · core fix

Guided required choice

Routes users to the right document with the lowest cognitive load — no hard reading required. This carried the redesign.

04 · Solution

The build

Turn reading into a guided, unskippable decision.

Guided selection replacing text instructions Restructured requirements with clear visual hierarchy Additional upload section for supplementary documents

05 · Edge cases

The messy parts

The states a happy-path demo hides.

1 / 3

More materials required

High-risk applicants get prompted for additional documents after submission, each with a clear reason — so the request doesn’t feel like a dead end.

More materials required — post-submission prompt for additional documents, each with a clear reason
2 / 3

Verification failed

Rejections show specific, fixable reasons so users can debug and resubmit correctly — instead of guessing and abandoning.

Verification failed — rejection screen listing specific, fixable reasons
3 / 3

Continue later

Institutional clients need time to gather documents, so progress is saved and the flow is resumable from where they left off.

Continue later — saved, resumable verification progress

06 · Final design

The flow

Select entity type → document checklist → guided submission.

End-to-end KYB flow — select institution type, document checklist, steps overview, then four guided submission steps

Full journey — entry, preparation, and the four submission steps.

Key screens — company info, contact person, and required documents with guided upload modules

Key screens — the guided form steps where comprehension decisions happen.

Try it yourself

Interactive prototype — click through the guided flow. Open in Figma ↗

07 · Impact

My contribution

What I owned — and why it’s better than before.

My role
Better than the previous version
Before

A wall of text

Static requirements users skipped → wrong submissions → rejection → drop-off, with no clear way to recover.

After

A guided decision

A structured choice that routes users to the right documents with no added reading — plus a rejection loop they can actually debug.

Outcome & measurement
41% Document submissions approved — baseline
82% Resubmission rate — baseline
10–15% Projected lift vs. comparable KYC optimization
Scaled across markets

The same guided-verification pattern became the base for the EU and AU institutional flows — re-applied to materially harder compliance logic: multi-layer entity structures, beneficial-ownership thresholds, and jurisdiction-specific source-of-funds rules (trust deeds, SMSF lookups).

Business outcome
The EU and AU KYB/KYC flows supported the company’s licensing submissions under local regulations.
Design that helped unlock regulated market access — not just a flow improvement.
KYB EU and KYB AU — the same guided-verification pattern adapted to local regulatory requirements

KYB EU and AU — the same pattern extended to each market’s entity types and document rules. Full screens available on request.

08 · Hindsight

Self-awareness

What launch taught me — and would change next.

After launch, first-time pass rate rose only marginally (41% → 42%) — well short of the projected lift. The more useful question was why it wasn’t larger, so I sat down with customer support and the compliance team.

01 Problem 02 Data-driven insight 03 Approach 04 Solution 05 Edge cases 06 Final design 07 Impact 08 Hindsight Back to top