Change Navigator

Change Navigator is Accenture’s customer-centric SaaS solution that helps companies through transformation. By leveraging generative AI to produce insights, recommendations, and actions that drive change transformation.

Client
Accenture
Project year
2024
Duration
16 months

Core features

Corbis

Gen AI-powered interface with insights on change and transformation management concepts, frameworks and best practices based on Accenture’s wealth of expertise with enterprise transformation.It helps you make smarter, more people-centric decisions by comparing data and providing recommendations across programs, projects, and stakeholder groups - just a prompt away.

Insights Dashboard

Real-time overview of critical enterprise change insights, including stakeholder groups to focus on, project risk profiles, transformation drivers, leadership alignment, and communications.

Program & Project Analysis

Analysis pages is an advanced feature within CN's suite that aggregates stakeholder, communications, and change impact data across all projects within a specific program, presenting a unified view.

Why now?

Problem

C-suite leaders have and continue to project significant transformations within their workforce yet are limited due to outdated methods, time-intensive spreadsheet tracking, and rigid approaches to problem and solution identifications.

How might we design a platform that helps businesses navigate reinvention to get the full value of their investments in transformation, technology, and change – and unlock the full potential of their people?

By solving this problem we:

  • Accelerate decision-making drawing on diverse data sources, including ecosystem partners, to build a holistic picture of change across the enterprise
  • Increase the ROI of change initiatives by leveraging AI capabilities to adapt the course of change in real time at strategic and operational levels
  • Sustain the pace of change by discovering personalized strategies and plans to internalize the reinvention capability

Solution

The Change Navigator AI ecosystem performs large tasks autonomously and end-to-end

By combining decision intelligence and forecasting models, CN represents a step toward more advanced, autonomous systems that can interact meaningfully with complex environments and perform tasks with minimal human supervision.

Unlocking the user journey


After conducting various interviews and workshops with our target audience, we were able to reveal the following insights:

Based on the information gathered from our research we established two primary users: Change Practitioner & Change Lead

Conceptualize

Taking the results gathered from our research, we decided that there five key areas to focus the growth and development of our product

With this in mind we were able to prioritize the launch of specific features within CN.

Users need tools that not only provide seamless integration and visibility but also elevate expertise and optimize project outcomes with data-driven insights

How we made smoother deliverables

✨ and our lives a little easier✨

Design System Optimization

Given that CN is one of four AEH suite products we had to insure that the products had a sustainable, flexible, and scalable design system while staying in alignment with Accenture's branding.

Our goal was to ensure designers and developers had a solution to stay in the loop with component updates and version tracking, design and interaction patterns, and general design system communications.

  • By creating component documentation cards, developers were able to quickly obtain design details such as padding, maximum text sizing, and more
  • Improved component version tracking across multiple releases by establishing a component status lifecycle tracker
  • By creating a component roadmap, we were able to keep track of who is working on a given component and it’s estimated release date

Developer Handoff Process Improvement

A major pain point of designing for an enterprise product with a team of 300 people globally is that files and structures can get messy quick if you're not careful. We mitigated that by establishing a handoff system that would allow us to iterate fast, communicate effectively, and keep control of our archival designs.

Conclusion

What we’ve covered is only a small fraction of what was implemented in Change Navigator. Since it’s launch, clients have been able to smoothly navigate transformation with the help of an intuitive interface and artificial intelligence backed by a robust help team to alleviate any challenges. As a globally-extended design team, we’ve managed to deliver a scalable product through collaboration, transparency, and having the willingness to tackle complex problems.