AI-assisted onboarding that reduces tool fragmentation

Viva launch is a simple solution that brings together all the necessary touch points like tasks, resources, and contacts from the microsoft ecosystem, making onboarding faster and efficient, while increasing new employee confidence.

IMPACT

↓30%

Reduction in time-on-task discovery

↓40%

Tab switching across apps and tools

↓40-50%

Reduction in manual tasks for manager

↓30%

Reduction in time-on-task discovery

↓40%

Tab switching across apps and tools

↓40-50%

Reduction in manual tasks for manager

TIMELINE

6 months
Jan 2025 – Jun 2025

TOOLS

Figma,
Vercel V0

TIMELINE

6 months
Jan 2025 – Jun 2025

TOOLS

Figma, Vercel V0

PROBLEM

Bringing Viva apps and resources into one place

Viva launch is a teams add-on app that consolidates necessary data from existing apps into a clear roadmap, making onboarding very efficient.

Microsoft Viva had low adoption

80% of employees weren't using the ecosystem they had access to. The business goal was to increase Viva engagement and reduce time-to-productivity for new hires.

USERS

New hires/employees
who are onboarding to new roles either at a new or same company.

SOLUTION

A dashboard surfacing all the necessary onboarding info and resources with the help of copilot from the Microsoft ecosystem.

INSIGHTS FROM RESEARCH

The firehose effect

Info tsunami leads to overwhelm.

Pressure to perform fast

Early delivery = less time to learn.

Don't know where to start

Scattered resources and information.

NEW EMPLOYEE JOURNEY

Onboarding is a systemic problem

PROBLEM STATEMENT

How might we help new hires confidently navigate tools, content, and workflows through a centralized onboarding experience with the help of AI?

DESIGN ITERATIONS

V1: Focused views – One dashboard for tasks, team, and learning

The first version shows tasks with due dates and time estimates so users knew exactly what to do. Team contacts and learning resources lived in their own views, keeping things uncluttered. A progress bar at the top tracked overall onboarding progress.

V2: Faster onboarding with Copilot-powered onboarding through conversation

Testing showed us that V1 design caused fragmentation due to various tab views which resulted in constant finding and switching. In V2, I created a single scrollable view featuring the resources all prioritized on one screen. I added welcome notes for a human touch and sense of community.

FINAL DELIVERY

Bringing together all the touch points to one dashboard

After 3 rounds of usability testing, the final design brings all necessary touch points into one screen. Finding Tasks, answers, and scheduling, all through AI.

COPILOT POWERED CALENDAR

Manage Schedule with copilot

Copilot can streamline your scheduling by adding and editing events in your Outlook calendar based on your messages and activities. This not only saves time but also enhances employee efficiency.

AI Powered task list

Check and update your task progress

Your engagement with Copilot and Viva Launch will enable Copilot to track your task progress, update it accordingly, and mark it off your list as you complete each item.

If there was more time, my next iteration focus would be to establish clearer visual hierarchy across dashboard modules and reducing cognitive overwhelm furthermore

DESIGN SPECIFICATIONS

Lightweight design system made with Fluent UI

A Viva suite application for seamless onboarding, combining all Viva Apps and features into one app. It serves as an adaptive assistant for new employees, enhancing new employee's experience.

END OF PROJECT

Some of my key learnings are to…

Scope down early and save time

We spent many weeks on discovery research which could’ve been used to work on building edge cases instead.

Lock the constraints and metrics

Constraints play a big role in design direction. Assigning these early could have helped me to visualize clearly.

Test lo-fi earlier and more often

We had 10+ iterations in each version but a detailed testing would’ve helped with building detailed interactions.

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Gyan AI:
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