Help Center Chatbot Case Study

Role: Content & UX Design

The Problem

The J.P. Morgan Commercial Card help site is not a resource directly accessible to clients during their task flows. Instead, the help site has its own domain with a pop-up window for each help prompt. Instead of leveraging the help site, many customers rely on account personnel to walk them through issues they encounter during their tasks on the site.

The Solution

Consolidating the main site and help site & allowing customers to use the product with minimal personnel training

old help center website

My process

I compartmentalize my greater process into three main categories. This allows me to see both a big picture of how my building will take place as well as an understanding of how each individual step contributes to another and how they connect as a whole. I generally begin my process with an empathizing phase; due to time constraints, it became preliminary first step before the Brainstorming phase and was a constant benchmark throughout the process.

01

Brainstorm

Understand problem & define direction

02

Conceptualize

Synthesize information and begin crafting solution

03

Design

Implement concept and build solution

Brainstorm

Assumptions | What I would have wanted to know and do

01

Product

I assumed the mobile product and web product had slightly different functionalities from one another

02

Data Archive

I would’ve wanted to analyze existing data surrounding the main commercial card site and help site

03

Pain Points

I would’ve wanted to know any pain points users faced while interacting with both the commercial card site and the help site

Chatbot

During my brainstorming session, I began to gravitate towards the chat bot solution

two chatbot examples

My process

While brainstorming, I began to notice the chatbot could encompass a variety of solutions and offer relief to multiple pain points.

Micro & Macro

Utilizes a combination of micro copy and long form content

In task help

Allows clients to access help while still in task flow

Multi-resource

Can provide a segue to various forms of additional resources

Research Findings

3x

Micro & Macro

Spending on cognitive and AI systems have had a 3x increase since 2018

24/7

24/7

Allows clients to access help while still in task flow

1/3

Micro & Macro

Utilizes a combination of micro copy and long form content

2/3

In task help

Allows clients to access help while still in task flow

Conceptualize

In the conceptualization phase, I focalized the following items

Consolidation

Reducing repetitive content and bringing information into a central location

Repository

How content can be governed to support this new format

Style & Product Guidelines

How content is styled to assist and resonate with the client base in a scalable way

Card Sorting

Before beginning the conversation flow, I wanted to conduct a card-sorting activity with research participants. Card-sorting would have allowed for information allocation that is more intuitive to how a client might navigate certain topics and issues

card reading graphic with green background

Card Sorting

As I approached the hands-on designing and building of the chatbot, I mapped out a conversation flow that would guide the content distribution and interaction of the chatbot.

chabot conversation glow diagram

Design

The design featured a brief interaction a customer might take if searching for log in info through the chatbot.

The chatbot would be onsite readily available support. Previously to find this answer one would have to go to the help site, search for information, and, then redirected onto another browse window.

Validation

When considering usability testing, I found the following metrics would exemplify the success of the chat bot design

Time on task

Time on task will demonstrate if the implementation of the chatbot is supporting clients enough to simplify task and reduce time on task

S U S

System Usability Scale will give quantitative and qualitative insights on how clients feel about the Chatbot’s usability

Heat mapping

Tracking use through heat mapping will directly show if clients are gravitating toward the Chatbot

Challenges &
Considerations

Challenges

Data

The lack of previous experience data made ideation a bit more difficult.

Primary Research

Having primary research results to synthesize could have made for a more intuitive experience

Time Constraints

Having more time would have allowed me conduct and gain primary research & testing insights

Accessibility
Considerations

-

Navigation

Consider keyboard navigation process to provide optimal navigation accessibility

-

Aria Labels

Consider aria labels to provide context and distinction to screen readers

Future Steps

-

Content Audit

A thorough content audit would allow for a starting point on how to govern and redistribute content through microcopy and other resources

-

Content Creation

Some content may need to be reimagined and some created completed from scratch to provide help and resources that are concise and easily digestible and accessible

Thank You

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