Bank Complaints BRD

Oct 15, 2025

Background

The bank has experienced a high volume of unresolved customer complaints, with significant SLA gaps, backlog accumulation, and poor resolution efficiency. This project aims to identify root causes and propose process and analytical improvements to enhance customer satisfaction and operational performance.


Business Objectives

• Improve complaint resolution time by at least 20% • Reduce backlog volume and SLA violations • Strengthen fraud escalation and prioritization processes • Improve customer experience and retention in the retail segment.


Project Scope

In Scope

• Analysis of complaints data • Process mapping of complaint resolution flow • Root cause analysis for delays • Strategy recommendations for process optimization


Out of Scope:

• System re-engineering • New CRM deployment


4. Stakeholders

Role

Responsibility

Operations Head

Approve process improvements

Customer Service

Implement workflow changes Review fraud-related SLAs

Risk & Fraud Team

Review fraud-related SLAs

Data Analytics Unit

Provide and visualize complaint data

Current Process Overview (As-Is)

Provide and visualize complaint data Customers submit complaints via call center, email, or branch. Complaints are logged manually or through CRM. Tracking and escalation rely on periodic checks, leading to slow resolution and poor visibility of high-risk cases.


Key Pain Points

• 41% unresolved complaints backlog • Fraud related complaints SLA gap • Long resolution cycle for 'Technical' and 'Other' issues • Poor prioritization of high-risk fraud case • Use data analytics to identify repeat complaint causes. • Limited analytics or reporting to guide management decisions. • Manual complaint logging causes data entry errors and delays.


Proposed Solution (To-Be Process)

• Introduce automated SLA tracking dashboard (Power BI) • Implement risk-based priority flagging system • Redesign workflow for faster fraud escalation. • Automate complaint routing • Implement real-time SLA tracking and automated alerts • Enable auto-logging of complaints from multiple channels (email, branch, or web form) • Deploy interactive Power BI dashboards for live reporting • Leverage analytics to identify repeat complaint causes • Establish a continuous improvement loop


Functional Requirements

Requirement

Description

R1

Power BI dashboard to monitor SLA & backlog

R2

Automated alerts for overdue cases

R3

Weekly process performance report

R4

Fraud risk escalation rule (1–3 days turnaround)

Success Metrics

• Resolution Time: < 35 days average

• SLA Compliance: ≥ 90%

• Fraud Escalation: ≤ 3 days

• Customer Retention ($100k–$200k Band): +15% improvement


Expected Business Impact

• Increased customer satisfaction and loyalty.

• Enhanced regulatory compliance.

• Improved operational visibility and decision-making.

• Data-driven culture in complaint management.


Timeline

Phase

Duration

Deliverable

Analysis

1 week

Root cause findings

Design

1 week

Process map + solution proposal

Implementation

2 weeks

Dashboard & reporting

Review

1 week

Impact assessment


View File

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