Customer Insights - Journey

An AI-first experience designed for marketers to improve productivity and campaign ROI
Discipline:
AI, Microsoft, Product Design

It's a great example of copilot really being just alongside the person, the human, all the way through the process...helping them be more effective and get their job done better and faster.

Head of Design

Goal

For marketers to improve productivity and campaign ROI with an AI-first experience

My role

Led the design vision and strategy for the project, shaping the end-to-end user experience and defining the core mental model that improved clarity and usability. Established scalable design systems and frameworks, enabling cross-team alignment and ensuring consistency across the product. Set the foundation for other designers to follow, driving a high level of execution and quality.

The Challenge

An earlier version of the product

Lack of a clear mental model in the earlier version made it hard for users to know what needed to be done and when they were finished.

In March 2024, we released a gated preview to selected customers to test the product and gather feedback. Users highlighted several challenges in their experience. One major issue was the lack of user guidance in the workflow; they were presented with numerous choices, which led to confusion about what to select and how to proceed.

Additionally, the absence of a defined project lifecycle made it difficult for users to understand the distinct stages involved in publishing a project or campaign, leaving them uncertain about their progress. Users also struggled with new concepts introduced in the system. The distinction between “Build” and “Refine” modes was unclear, making it difficult to determine what actions could be performed in each. Similarly, differentiating between “Curation” and “Editing” was confusing, particularly in understanding what could be done within PSN versus CIJ. Lastly, the introduction of “Ideation” as a way to generate suggestions was a novel concept, but users found it difficult to grasp its role compared to a traditional drafting process.

Based on the feedback from the gated preview we believed we had to nail these issues for the product to be a success:

  • Maximizing success from the start
    Creating a campaign based on the outcomes you want to achieve - prompt/campaign brief.

  • Boosting productivity and creativity
    Generating a first draft of on-brand content, and the ability to implement cross-channel changes.

  • Empowering teams to stay-in-sync
    Creating a single view of the campaign - audiences, journeys and content assets all in one area.

  • Connecting across marketing technology
    Leveraging data from past journeys, content, and measurement tools to create effective campaigns.

Tom, our marketing persona who is using the product
Read More

Early prototype

Exploring various audience editing options suggested by Copilot in an early working prototype

...it looks really cool and everything is just a more seamless experience of building a campaign vs. going into each of the different entities and doing it one by one. I think this is a really exciting tool that will be useful to the team.

Research Participant

One of the core ideas was ensuring that the human was in the loop, making final decisions and shaping the campaign. The AI could quickly give suggestions. This would build user trust with the tool.

Our initial focus was on creating an intuitive flow, which users clearly appreciated. The additional feedback highlighted key opportunities for further enhancement, confirming the direction we need to pursue to refine and expand the experience.

Iterating and refining

It was important that the transition from curating to editing was clearly signaled to the user. The previous iteration didn't make that transition clear and it was part of our hypothesis that it was a large reason why it was unsuccessful. I believed that showing the navigation from the curation phase, then hiding it so the user could have a full canvas to work with, could help. I iterated on different ways this transition could happen.

The Solution

First half of the experience focuses on curating selections
The second half allowed for more granular editing

I like this one a lot more...it is very clear on what I should do next and very digestible!

Research Participant 4

Promotional video

Excerpt from the product launch video.

Lessons Learned

What demos well isn't what customers necessarily want

The previous one shot experience sacrificed users sense of control. We had to build customer trust with the AI. Giving users a sense of control could help with establishing trust with AI.

Developing Future-Ready Solutions Requires Discipline

It was tempting to fall back on the default text prompt as a quick solution, but we resisted. Sticking to our core principles was challenging at times, yet it allowed us to build a foundation that goes beyond just another text-based AI interface. Because we held firm, we now have a solution we can refine and iterate on—one that pushes the experience forward rather than defaulting to the familiar.

Context is everything even in AI

An empty input waiting for a prompt can be anxiety inducing. I was doing a lot of work with AI and Copilot, leveraging different ways for users to start engaging with Copilot outside of an input. But many of the journeys started from a blank prompt with little guidance other than some instructional text. What was clear was we needed more contextual controls to engage with AI other than inputs. With this project more context led to better results. And in a way this was easy because its an enterprise product with a very narrow focus. With that in mind how can we ensure we are getting enough context to better help our users?

Share so everyone can grow

I led the team to share our work with the larger design team of 200, hoping others could build on it and push their own ideas further. The goal wasn’t just to showcase what we did, but to create something useful—maybe even something I could learn from and use down the line.

Product Design: Jacques Dupoux, Anne Muigai, Hana Kim, Emilia Kostiukevych, Vivek Shankar, Rosie Martin
Research: Pooja Dhaka, Jacques Dupoux