[Case 04]

25% Growth in Checkout Completion

E-Commerce

Accelerating 25% Growth in Checkout Completion

Boosting Conversion Rates for E-commerce Checkout

[Project Overview]

Faced with a 40% cart abandonment rate, I redesigned the checkout flow to address user pain points. By simplifying the process, optimizing for mobile, and adding features like autofill and error validation.

[Problem Statement]

The platform struggled with a 40% cart abandonment rate during checkout. Users encountered unclear error messages, redundant fields, and poor mobile optimization.

Timeline

E-Commerce

My Role

Lead Designer

[Outcome]

The existing elective bidding system at London Business School was fragmented, outdated, and no longer supported.

Students faced a disjointed experience spread across multiple systems, resulting in confusion, inefficiency, and frustration.

[Outcome]

Research question

β€œHow might the elective selection and bidding experience ensure degree education students to thrive in their study at LBS and be best prepared to achieve their career goals?”

Student survey

Student survey

Student survey

Student survey

Student survey

66 respondents

Purpose

Create a high-level understanding of students’ behaviour and opinions towards the elective bidding experience, especially around the two key systems provided by the school to serve this purpose – Course Directory and EBS.

How

Used Qualtrics to conduct online survey with degree students.

Survey findings

Diary study + Interviews

Diary study + Interviews

Diary study + Interviews

Diary study + Interviews

Diary study + Interviews

9 participants

Purpose

Discover students’ needs, motivations, behaviour, journeys, feelings, opinions and desire in order to create a heuristic view of the whole bidding process.

How

Collected live data daily through WhatsApp over 3 weeks period across pre, during and post one bidding round.

Customer journey mapping

Concept mapping

Add / Drop interviews

Add / Drop interviews

Add / Drop interviews

Add / Drop interviews

Add / Drop interviews

5 participants

Purpose

To understand what students think of and do for add/drop phase of the bidding process.

How

Conducted virtual interviews with diary study participants using Teams.

Add/drop findings

[Outcome]

The research identified 5 key findings:

1

The lack of a single centralised system results in inefficient student workflow.

2

The iterative and sophisticated nature of elective selection is underestimated in the current system.

3

Inconsistent information leads to mistrust between the students and the systems.

4

Decentralised communication and information display causes confusion and frustration amongst the students.

5

Information blackout period between the closure of bidding and publishing results causes anxiety and frustration amongst the students.

[Outcome]

The lack of a single centralised system results in inefficient student workflow.

To fill in the gaps between current systems, students created personal spreadsheet in order to centrally organise and manipulate data.

Some of the activities performed outside of LBS systems are:

  • Copy and paste information from its original sources into personal spreadsheet at the selection stage.

  • Manually search for courses finalised in personal spreadsheet in order to place bid in EBS.


[Outcome]

Decentralised communication and information causes confusion and frustration amongst the students.

[Outcome]

User journey mapping

Identify key touchpoints where users experienced confusion or frustration, especially moments where the experience felt disjointed between choosing, enrolling, and confirming electives.

[Outcome]

Wireframes

Brainstormed multiple flows addressing pain points from research.

  • Sketched early concepts to explore how students could shortlist and compare electives.

  • Collaborated with PM and engineers to validate technical feasibility.


[Outcome]

[Outcome]

What I could have done differently

1

Plan for Scalability & Future Features

To fill in the gaps between current systems, students created personal spreadsheet in order to centrally organise and manipulate data.

2

Strengthen Cross-Functional Collaboration

Some design decisions were revisited late in the process due to technical constraints. Establishing more regular design–engineering syncs early on could have minimized rework and improved implementation efficiency.

3

Broaden Participant Diversity

In some rounds of testing, participants were degree students already familiar with the system. Including exchange students or admin staff could have exposed additional workflow challenges and edge cases.

Select this text to see the highlight effect