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Fintech Digital Banking KYC & Compliance UX Enterprise SaaS

The future of digital banking onboarding.

Designed end-to-end digital banking experiences across customer onboarding, payments, account servicing, and self-service applications — improving customer journey efficiency and overall usability.

Case Study Maxtra Technologies Digital Banking · Oct 2020 — Sep 2022
Role Product Designer — Digital Banking
Timeline Oct 2020 — Sep 2022 (2 years)
Platform Mobile + Web · Business Banking
Domain Fintech · Digital Banking

The Stakes

Digital banking onboarding was losing customers at every step. KYC drop-offs were high, payment workflows created friction, and self-service applications weren't living up to their promise.

Outcomes

Onboarding completion +33% · Drop-offs -28% · Task completion +30% · Customer satisfaction +27%

+33% increase in onboarding completion through redesigned KYC and digital onboarding workflows
-28% reduction in customer drop-offs across the onboarding journey
+30% improvement in task completion rates via user research, heuristic evaluations, and usability testing
+27% increase in customer satisfaction through optimized digital banking journeys
01
Overview

A digital banking platform where customers kept dropping off before becoming customers

Maxtra Technologies builds digital banking experiences — customer onboarding, payments, account servicing, and self-service applications. The product worked. What it couldn't do was get new customers through onboarding efficiently. Completion rates were low, drop-offs were high, and the overall customer journey created more friction than it resolved.

I owned the end-to-end redesign of digital banking experiences across customer onboarding, KYC workflows, payment authorization, and self-service applications, in close partnership with cross-functional teams throughout product discovery, design reviews, sprint ceremonies, and product releases.

Headquarters

Noida, India

Industry

Fintech · Digital Banking SaaS

Customer Type

Enterprise B2B (banks & NBFCs)

End Users

Business banking customers

Compliance

Regulated digital banking

Scope

Onboarding, Payments, Servicing

02
Problem

SMEs weren't abandoning because they didn't want to bank. They abandoned because the form asked for the same documents twice.

The completion data told a sharp story. 41% of all KYC drop-off happened at step 4 — "business proof" — where the system asked for a PAN card that the user had already uploaded in step 2. The form architecture had been designed by compliance with a "ask once per category" rationale, but UX-side it read as "this thing doesn't trust me, why am I doing this?" Most SME owners closed the tab.

Problem statement First-time business banking customers (SME owners, 30–55) abandoned KYC onboarding because the 7-step form requested redundant documents at multiple stages and failed to communicate compliance progress, resulting in only 35% of new business signups completing KYC within 14 days against an industry benchmark of 55–65% (fintech benchmark report, 2021).

"I uploaded my PAN. Then it asked for my PAN again. I gave up. I'll just go to my regular bank's branch on Saturday."

— Play Store review, 1-star, March 2022 cohort
03
Research

Four evidence streams. The compliance interview that unlocked the redesign.

The research strategy had to work around a hard constraint: we couldn't recruit SME owners during their live onboarding (compliance + privacy). So I built a four-source evidence stack from public reviews, internal analytics, competitor audits, and — the most consequential interview of the project — a conversation with the compliance team about which steps were actually regulatory.

01
App Store Review Mining
89 of 210 1-star reviews (42%) cited "onboarding too long" or "asked for same docs twice" — sourced from an 18-month review window across Play Store and App Store. Review mining is primary research at scale. This wasn't a hunch; it was 89 individual SME owners telling us in their own words why they walked away.
02
Internal Funnel Analytics
41% of all abandonment concentrated at step 4 — the second PAN request. Time-on-step at this point was a median 2 minutes 40 seconds, indicating users hesitating, not interacting. Funnel data localised the failure mode to a single step that the compliance rationale couldn't defend.
03
Competitor Onboarding Audit
6 competing B2B banking onboarding flows audited end-to-end. Average step count: 4–5 (Maxtra: 7). Average completion time: ~12 minutes (Maxtra: 23). The benchmark was reachable, the gap was specific, and the leaders weren't doing anything magical — they had just designed the architecture more carefully.

The compliance interview that changed the project

The unlock came from a 90-minute conversation with the regulatory affairs team. The framing question was: "Of the 7 steps in current KYC, how many are RBI-mandated, and how many are internal policy?" The answer reshaped the entire redesign: only 4 of the 7 steps were RBI-mandated. The other 3 had been added "to be safe" during a prior compliance review. That meant the redesign wasn't a regulatory negotiation — it was an internal-policy negotiation, with much lower risk.

This is the kind of insight you only get from talking to compliance directly, with specific questions. "Is this regulatory?" is too binary. "Walk me through the rationale for each step" is where the wiggle room becomes visible.

04
Options Considered

Three approaches. The one we shipped wasn't the one that looked best on paper.

Option A — Rejected
Unilaterally cut to 4 steps and ship in 2 weeks
The simplest version of "fix the problem." Compliance had already validated that 4 of the 7 steps were RBI-mandated, so dropping the other 3 had no regulatory exposure. Rejected because removing internal-policy steps required formal legal sign-off, which the legal team's calendar said would take 4 months. We couldn't wait 4 months on a 35% completion rate.
Option B — Chosen
Conditional step disclosure — ship in 6 weeks, full impact in 6 months
Keep all 7 steps in the data model. Progressively reveal them based on business entity type: SME sole proprietors see 4 steps; complex entities (LLPs, partnerships, trusts) see all 7. No data is removed, no regulatory posture changes — but the SME segment (which is 78% of signup volume) sees a 4-step flow. Ship in 6 weeks because no legal-team review is required for hiding existing steps based on entity type.
Option C — Partially adopted
Pre-fill from PAN + GST APIs — eliminate typing
Connect the form to public PAN and GST APIs to pre-fill business name, address, and entity type. Genuinely useful, but didn't address the step-count problem (the actual abandonment trigger). Partially adopted in V1 (light pre-fill) and queued for V2 with deeper API integration once SDK contracts were finalised.
05
Decision & Tradeoff

We chose ship-and-iterate over wait-for-perfect. Here's what we accepted.

Conditional disclosure was not the cleanest engineering solution. The data model became more complex (branching flows + dependency rules), and every branch needed compliance validation. The "pure" approach — deleting 3 steps from the data model entirely — was cleaner. But cleaner would have shipped in February. Conditional disclosure shipped in November.

+ Gained
Shipping in 6 weeks instead of 16. KYC completion lift of ~23 percentage points for the SME segment. No regulatory exposure. Onboarding time roughly halved for the volume-driving customer type.
− Lost
Engineering data model became branchier and more complex to maintain. Each new branch (e.g., LLPs, partnerships) required individual compliance sign-off. QA test matrix doubled because the same form now had two possible flow paths.
Why accepted
A 35% completion rate was bleeding ~3,250 potential SME customers per month. The cost of waiting 4 months for the "clean" solution was an estimated 13,000 SMEs lost. Engineering complexity is recoverable through refactoring later. Lost customers are not.

The business framing

At 5,000 new SME signups/month, a 33% completion lift = ~1,650 additional onboarded businesses/month. Combined with a 28% reduction in drop-offs and 22% fewer support requests, the redesign translated directly into measurable revenue recovery and operational savings. The math is rough, but the order of magnitude was defensible to the executive team and made the engineering complexity tradeoff trivial to justify.

06
Design Decisions

Every UI choice was annotated with a single question: would a 45-year-old SME owner abandon here?

Entity-type selection as step 1, not step 5

In the old flow, business entity type (sole prop / LLP / partnership) was collected at step 5 — after all the personal documents were already uploaded. That meant we couldn't conditionally branch until users had done most of the work. By moving entity-type to step 1 (a single tap), we could route SMEs into the 4-step path immediately. This single re-sequencing decision unlocked the entire conditional disclosure approach.

Progress communication — the "what's left" pattern

Step counter shows total steps remaining, not steps completed.

User testing showed "Step 4 of 7" felt heavier than "3 steps left." Behavioural framing matters in compliance flows where every step feels like an obstacle. Reframing progress as remaining-steps reduced abandonment at step 2 by an estimated 8 percentage points in early pilots.

Inline rationale for every document request.

Each upload screen now answers the unspoken question: "why are you asking?" One-line plain-language rationale ("This helps RBI verify your business identity") moved the trust dial without changing what was being asked. The compliance team approved every line.

Payment authorization redesign — the second product win

Outside the onboarding redesign, I redesigned the payment authorization workflow for business users. The old flow surfaced authorization codes via SMS only, with no in-product confirmation. Business users (multi-signatory accounts) frequently lost the SMS, leading to support escalations for "stuck transactions." The redesign added an in-product authorization queue with explicit signatory states, escalation timers, and a fallback "resend via voice call" path for accounts where SMS failed. Support escalations for failed payments dropped substantially in the post-launch quarter.

Reusable banking patterns across mobile + web

The KYC redesign produced reusable patterns — document upload states, multi-signatory flows, compliance progress indicators — that became the foundation for adjacent product modules. I documented these in a shared Figma library with cross-platform parity (mobile + web) and engineering-mapped tokens. The library cut design handoff ambiguity on adjacent banking workflows for the rest of my time at Maxtra.

07
Outcome

Onboarding completion +33%. Drop-offs -28%. The numbers, and the methodology behind them.

Measured outcomes

Onboarding completion increased by 33% through redesigned KYC and digital onboarding workflows. The improvement was driven by streamlined form flows, reduced redundancy, and clearer progress communication throughout the journey.

Customer drop-offs reduced by 28% across the onboarding journey. The reduction was concentrated in the identity verification and document upload stages — exactly the steps where the redesign eliminated the most friction.

Task completion rates improved by 30% through user research, competitive analysis, heuristic evaluations, and usability testing that identified and resolved key usability issues across the platform.

Broader platform impact

Designed seamless payment authorization, beneficiary management, bill payment, fund transfer, and transaction processing experiences, reducing customer support requests by 22% while improving transaction success rates.

Developed reusable design systems, responsive UI components, and interactive prototypes that accelerated engineering delivery while reducing design effort by 30%. Continuously optimized digital banking journeys using customer feedback, product analytics, usability insights, and A/B testing, increasing customer satisfaction by 27% while improving feature adoption.

"The onboarding redesign was the first piece of UX work at the company that the leadership could tie directly to business outcomes. That's when product design stopped being a cost center."

— Product Manager, internal post-launch debrief
08
What's Next

API-driven identity pre-fill — pushing completion past 70%

The +33% onboarding completion lift is strong relative to the baseline, but still short of the industry benchmark ceiling. The residual gap is concentrated in the identity verification and business detail entry steps where users still have to type addresses, tax identifiers, and entity registration details by hand.

Hypothesis: a deep identity-verification API integration that pre-fills business details from a single identifier entry would compress the manual-entry steps from ~4 minutes of typing to ~20 seconds of validation. Estimated impact: completion lift of another 12–15 percentage points, pushing the onboarding funnel into 70%+ territory — industry-leading. Status: paused at Maxtra V2 due to API SDK contract delays, queued with full instrumentation already in place.

09
Constraints

A regulator. A legal team's calendar. Live customers. The constraints set the design.

Regulated digital banking is the design environment where every "good idea" has to clear three review boards before it ships. Compliance, legal, and engineering each had veto power. The constraint wasn't creative; it was procedural. The work was finding the design move that didn't trigger any of the three vetoes — while still delivering the impact the business case required.

The triangle: I picked Time + Scope. Quality on the critical path was non-negotiable.

A KYC flow that ships incomplete is worse than a slow one — an incomplete compliance flow risks regulatory exposure and customer trust simultaneously. So quality on the regulatory critical path was held flat. The lever was scope (conditional disclosure instead of deletion) and the lever was time (ship in 6 weeks instead of waiting 16 for the cleaner solution). That sequencing decision unlocked the entire impact.

01
Finding Assumptions Without Recruiting SMEs
Direct user research with SMEs in the live KYC flow was off-limits (privacy + compliance). So the research stack was indirect: app store review mining for qualitative signal, funnel analytics for quantitative localization, competitor audits for benchmark, and the compliance interview for the unlock. Four indirect sources beat one direct source you can't actually run.
02
What Moved to V2
Deep identity-verification API pre-fill (paused for SDK contracts). Voice-call fallback for SMS-failed authorization. Multi-language onboarding support. All documented with success criteria and instrumentation already in place — so the next sprint inherits a brief, not a blank page.
03
How Cross-Functional Speed Was Built
Banking design ships at the speed of the slowest reviewer. So I built the compliance team into the design process — pair-reviewing every wireframe before engineering touched it. That moved compliance feedback from a release-blocking gate into an in-sprint conversation, cutting average review-cycle time on banking surfaces from ~10 days to ~3.

"In regulated fintech, the design constraint isn't users. It's the review process. Design the process first — the product becomes easier from there."

10
Reflection

Three things this project taught me about regulated product design

01
"Is This Regulatory?" Is The Wrong Question
The unlock at Maxtra came from a more specific question: "Walk me through the rationale for each step." Binary questions get binary answers and close the door. Specific questions surface the wiggle room compliance teams know about but won't volunteer.
02
Ship-And-Iterate Beats Wait-For-Perfect
Conditional disclosure wasn't the cleanest engineering solution. But shipping in 6 weeks instead of 16 was worth 10,000 fewer abandoned SMEs. Cleaner solutions later are always available. Customers walking out the door now are not recoverable.
03
Indirect Research Is Real Research
I couldn't recruit SME users for live KYC sessions. But 89 1-star reviews, funnel analytics, six competitor audits, and one compliance interview together produced sharper signal than five generic user interviews would have. Constraints on research methodology are not constraints on research quality.

Conclusion

In regulated fintech, design works at the seam between the regulator, the engineering team, and the abandoned customer. That seam is where the leverage lives.

The conditional disclosure pattern, in-product authorization queue, and compliance pair-review process remain in use across Maxtra's digital banking SaaS — and shaped how I approach every regulated-industry surface I've designed since.

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