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Nikhil Sharma
Safe Second Account · Safety

Fraud Alarm

Turning fraud reporting from a helpline dependency into an in-app emergency-control workflow.
Status
Field report v1
Timeframe
1 month
Role
Head of Product Design
Team
1 designer, 1 PM, 4 developers, risk, CRM/support
Outcome
~15 min → <3 min
Response window
39%
Fraud reports moved directly into the app
2
Entry points: transaction detail + Security Centre
6
Automated protection actions
The problem

Fraud was being handled like support.

When users noticed suspicious activity, they often had to search for the customer-care number, call the helpline, navigate IVR, and wait for a human agent, all while panicking.

The issue was not just delay. If credentials were already exposed, every minute spent searching, calling, and waiting created another window for additional fraud.

The shift

From customer-care escalation to emergency control.

We reframed fraud reporting from “how does the user reach support?” to “how does the bank start protection immediately?”

Fraud Alarm moved the first protective action into the app, then brought CRM/support into the workflow after the emergency sequence had already started.

What shipped
Two entry points
  • Report Fraud on transaction detail page
  • Fraud reporting inside Security Centre
Protection sequence
  1. 01Account frozen
  2. 02MPIN expired
  3. 03New MPIN sent by SMS
  4. 04Service request raised with last 24 hours transaction history
  5. 05CRM team notified
  6. 06Callback initiated
Key product decisions
01

Place reporting at the point of suspicion

The transaction detail page was the most likely place users would notice fraud, so the Report Fraud action was placed there.

02

Create a persistent safety destination

Security Centre grouped safety-related products and conditioned users to return there for fraud and security needs.

03

Add intentional friction

Swipe, warning, and countdown were added because account freeze and MPIN expiry were high-consequence actions.

04

Separate fraud from general support

Users who cancelled were shown the normal non-emergency customer-care number, so they were not abandoned.

05

Filter for fraud-relevant transactions

The emergency path was limited to recent outgoing-money transactions within 24 hours across both entry points.

Before / after
Before
  1. Suspicious transaction
  2. Search customer-care number
  3. Call helpline
  4. IVR
  5. Agent wait
  6. Explain issue
  7. Protection begins
After
  1. Suspicious transaction
  2. Report Fraud
  3. Swipe
  4. Warning + countdown
  5. Protection sequence
  6. Live checklist
  7. Callback/recovery
UI evidence

The Fraud Alarm journey

The full in-app emergency-control experience, from alarm to resolution.

Metric movement

Fraud Alarm reduced the response window from approximately 15 minutes to under 3 minutes.

Definition
Time from suspected fraud transaction to completion of Fraud Alarm protection sequence.
Source
Transaction logs + customer-care logs.
Attribution
Primarily attributable to Fraud Alarm because the workflow replaced helpline dependency with an in-app one-swipe emergency action.
Supporting signal
39% of fraud reports moved directly into the app without speaking to anyone.
My role

As Head of Product Design, I identified the fraud-response gap through support-call analysis, reframed the problem as emergency control, directed the UX strategy, and aligned product, risk, CRM/support, and engineering.

  • Identified the delay before protective action
  • Framed the emergency-control hypothesis
  • Directed entry-point and friction strategy
  • Aligned product, risk, CRM/support, and engineering
  • Used post-launch behavior to refine eligibility
Lessons
01

Emergency UX must match panic-state behavior.

02

High-consequence actions need deliberate friction.

03

Visible reassurance is part of the product.

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