Agency

Think Company

Client

Telecom Corporation

Role

Senior UX Designer

Project Duration

3 months

Overview

Rethinking the frontline agent experience

Rethinking the frontline agent experience

Facing substantial financial losses from unnecessary credits and declining call quality, our client needed a solution. My team was tasked with reimagining the agent experience to provide more guidance around company policies and customer interactions.

Research

2 weeks

Strategy

4 weeks

Execution

4 weeks

What goes here:

Mockup of cross-functional timeline

What goes here:

Mockup of cross-functional reporting for a given week

Discovery & Research

Lack of policy leads to overspending

Lack of policy leads to overspending

With an all-encompassing dashboard and lack of direction, agents felt free to issue credits to maintain high resolution and customer satisfaction rates. However, both new and experienced agents welcomed an AI driven solution that would provide guidance and consistency to their calls.

Observation

Observing 15 live calls from 5 frontline agents

Agent interviews

Understanding current and desired workflows

Stakeholder interviews

Learning about related business challenges

What goes here:

Research findings

  • Lack of training / policy adherance

  • Overwhelming agent to customer dialogue

  • Dashboard lacks guidance

Strategy

Shifting focus from dashboards to dialogues

Shifting focus from dashboards to dialogues

The current dashboard driven workflow placed almost no restrictions on call handling. To address this, we needed to implement a system that provides clear policy guidance and dynamically delivers relevant information at each step.

Exploration

Crafting and assessing scalable and effective solutions

Collaboration

Coordinating efforts and reporting progress across teams

Roadmapping

Planning for current and future iterations

What goes here:

Explorations around multi-modal scalability

Implementation

AI driven 'paths' help guide the conversation

AI driven 'paths' help guide the conversation

To better support both agents and the business, we've implemented AI-driven 'Paths'. These dynamic, step-by-step experiences empower agents with the necessary support while preserving the flexibility for genuine human interaction.

Playbook

Providing strategy and guidelines for consistent work

Paths Library

Making it easy to implement and share ideas across teams

Training

Equipping teams with conversational design best-practices

What goes here:

Mockup from the Playbook

What goes here:

Mockup from the Path Builder

What goes here:

Example of dialogue from a cross team training session

Outcomes

Introduction of new workflow leads to significant savings

Introduction of new workflow leads to significant savings

The introduction of 'Paths' allowed the business to define clearer, more effective policies, immediately saving money and increasing customer satisfaction. Agents have enjoyed the resulting consistency, and our design teams are now confident in designing for conversationally driven experiences.

$150

million

projected to be saved by end of year through credit paths

$25

million

projected to be saved by end of year through WiFi paths

Mockup of Recommended Path feature

Case study

Want to learn more?

To access the full case study, reach out to me at lindsay.bolger@hey.com.

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