CLOUD ONBOARDING

Re-architecting the setup experience to drive adoption from 3% to 97%

Only 3% of Small and Medium Business users were connecting their printers to the cloud, despite the research results showing high interests.

The business challenged us to drive adoption to 97%.
Achieving this scale was critical to unlock four key outcomes:

Benefits of cloud onboarding

The Audit: Diagnosing the Drop-off๐Ÿ’ก

To understand why conversion was so low, I audited the existing post-setup service onboarding experience and uncovered a fragmented journey that worked against user psychology:


Cloud onboarding flow legacy choice screen
Misleading Binary Choice

The installer forced users to choose between Basic Setup and Advanced Setup from the start. This created a false dichotomy, implying the two options were mutually exclusive rather than one is an upgrade to the other.

Driver Anxiety

Users have one primary goal of making the printer print. Because the cloud path didn't explicitly promise driver installation, users defaulted to their most familair option to guarantee functionality.

Weak Value Proposition

The education on why users should connect was missing. The screen prioritized techinical instructions over user benefits, failing to give users a compelling reason to opt in.

No Re-entry Point

Cloud connectivity as treated a one-time opportunity during setup. If users selected Basic out of caution (which most did), there was no intuitive way to return and cloud onboard later.

Phase 1: Optimization

The Initial Strategy



The Constraint

Engineering planned for a "Silent Installer" (no UI), which forced us to rely entirely on the Product Setup Page (Web) for cloud opportunity.

The Design Response

I designed the end-to-end web onboarding flow and explored PSW designs to present the cloud option at the right time, leveraging the insight that users are significantly more receptive after the basic driver setup is complete.

Cloud onboarding Flowchart
Cloud onboarding Phase 1 strategy
palceholder text Immediate fixes like auto-filling emails during sign-up to reduce friction.

Phase 1: Continued

The Strategic Pivot

The Pivot

During stakeholder review, the technical constraints shifted back to the Legacy Installer. This revealed a critical UX opportunity:

Web Flow ๐ŸŸก

Requires users to physically find the Admin PIN on a label inside the cartridge access door and then enter it back at the computer.

Installer โœ…

The new model supports Push Authentication within 2 hours of setup, eliminating the PIN step entirely.


The New Strategy

We moved the Cloud Value Prop upstream directly into the installer to capitalize on the simple authentication.

Second Chance

The original web flow design was repurposed as second chance for users who skipped the installer offer.

Testing Results

Testing variants of the cloud value prop in the installer led to a 63% cloud adoption.

Testing variants and results

Phase 2: The Moonshot

Seeing the potential of our initial success, leadership raised the stakes: optimization wasn't enough. To support the AI roadmap, we needed 97% adoption.


This shifted the project from "fixing a broken experience " to "transforming the onboarding architecture."

I joined the initiative to help translate the strategy into detailed interaction flows, collaborating closely with the Lead Designer and the UX Architect to deliver the solutions below.

The Improvements

To target admins effectively, the team introduced a role-based segmentation step. This strategic split was the foundation for the work below, allowing us to present the cloud and AI offer without adding noise to the end users.

Parallel Processing

We replaced the sequential opt-in with a parallel flow. Users now complete cloud onboarding during the idle waiting time while the driver installs in the background.

Linear cloud onboarding flow Parallel cloud onboarding flow
Before: Users faced undefined next steps and an unfamiliar product reference ("HP Smart"), leading to hesitation.
Before: Inconsistent styling and visual distractions confused the user journey.
Show, Don't Tell

I replaced static text with dynamic animations that played during the installation wait time. This educated the user on why the cloud mattered without requiring them to read heavy copy.

Impact and Results

In two rounds of unmoderated and moderated testing, the new parallel approach resulted in a 97% cloud adoption rate and 79% AI enablement rate.

Testing results 97% cloud adoption rate
Testing results 79% AI adoption rate

What Worked

โœ… Clear, valuable features

๐ŸŽจ Intuitive, engaging design

โšก๏ธ Fast, parallel setup

๐Ÿ›ก๏ธ Building user trust and empowerment

Areas to Enhance

๐Ÿ”’ Refine secruity and AI messaging

โฐ Optimize prompt timing and frequency

Key Takeaways

Impossible goals force reinvention

When the 97% target was announced, it honestly felt impossible. But that shock forced us to abandon safe, incremental improvements and completely rethink the architecture. We couldn't have built this if the goal had been reasonable.

Designing for reality

We didn't need a design concept but a solution ready for the spring release. Balancing the ideal vision with the reality taught me that technical feasibility isn't just a blocker, it also grounded the design work. I'm glad that we delivered a solution that will actually ship on time.

Stay Calm in the chaos

This project was never a straight line. Requirements shifted, scopes changed, and we had to pivot constantly. However, despite the constant back-and-forth, we landed on a solid solution. It was a lesson in patience: learning to keep moving forward even when the destination kept changing.